diff --git "a/data/dump.csv" "b/data/dump.csv" --- "a/data/dump.csv" +++ "b/data/dump.csv" @@ -1,4111 +1,7247 @@ - venue title year pdf url public dependencies training evaluation weights readme license -0 MICCAI 3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Aru321/CVTGAN Yes -1 MICCAI 3D Global Fourier Network for Alzheimer’s Disease Diagnosis using Structural MRI | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/qbmizsj/GFNet Yes -2 MICCAI 4D-OR: Semantic Scene Graphs for OR Domain Modeling | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/egeozsoy/4D-OR Yes -3 MICCAI A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000 | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://gitlab.uni-hannover.de/sontje.ihler/chexpert5000 Yes -4 MICCAI A Deep-Discrete Learning Framework for Spherical Surface Registration | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/mohamedasuliman/DDR/ Yes -5 MICCAI A Geometry-Constrainted Deformable Attention Network for Aortic Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -6 MICCAI A Hybrid Propagation Network for Interactive Volumetric Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/luyueshi/Hybrid-Propagation Yes -7 MICCAI A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://www.med.upenn.edu/sbia/brats2018/data.html Yes -8 MICCAI A Medical Semantic-Assisted Transformer for Radiographic Report Generation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/zwan0839/MSAT Yes -9 MICCAI A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/WentianZhang-ML/WDMT-Net Yes -10 MICCAI A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/jhl-Det/CVA-Net Yes -11 MICCAI A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -12 MICCAI A Novel Fusion Network for Morphological Analysis of Common Iliac Artery | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/SongCASIA/FTU_Net Yes -13 MICCAI A Novel Knowledge Keeper Network for 7T-Free But 7T-Guided Brain Tissue Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/2jieun2/knowledge_keeper Yes -14 MICCAI A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/vento99 Yes -15 MICCAI A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -16 MICCAI A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/himashi92/VT-UNet Yes -17 MICCAI A Self-Guided Framework for Radiology Report Generation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/LijunRio/A-Self-Guided-Framework Yes -18 MICCAI A Sense of Direction in Biomedical Neural Networks | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Zewen-Liu/MASC-Unit Yes -19 MICCAI A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -20 MICCAI A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Deep-Imaging-Group/RegFormer Yes -21 MICCAI AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/guojiajeremy/AANet Yes -22 MICCAI Accelerated pseudo 3D dynamic speech MR imaging at 3T using unsupervised deep variational manifold learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/rushdi-rusho/varMRI Yes -23 MICCAI Accurate and Explainable Image-based Prediction Using a Lightweight Generative Model | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://www.ukbiobank.ac.uk Yes -24 MICCAI Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://nihcc.app.box.com/v/DeepLesion Yes -25 MICCAI Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Garand0o0/FiberTractSegmentation Yes -26 MICCAI ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-Training | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -27 MICCAI Adaptation of Surgical Activity Recognition Models Across Operating Rooms | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -28 MICCAI Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/multimodallearning/registration-da-mean-teacher Yes -29 MICCAI Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/pakheiyeung/AdLocUI Yes -30 MICCAI AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Oulu-IMEDS/AdaTriplet Yes -31 MICCAI Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://www.creatis.insa-lyon.fr/Challenge/acdc/databases.html Yes -32 MICCAI Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -33 MICCAI Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/prinshul/Prototype_NeuralODE_Adv_Attack Yes -34 MICCAI Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -35 MICCAI Aggregative Self-Supervised Feature Learning from Limited Medical Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -36 MICCAI An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-Lesions | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -37 MICCAI An adaptive network with extragradient for diffusion MRI-based microstructure estimation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -38 MICCAI An Advanced Deep Learning Framework for Video-based Diagnosis of ASD | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/xiaotaiyangcmm/DASD Yes -39 MICCAI An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/xiabc612/R-band-chromosome-recognition Yes -40 MICCAI An Inclusive Task-Aware Framework for Radiology Report Generation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Reremee/ITA Yes -41 MICCAI An Optimal Control Problem for Elastic Registration and Force Estimation in Augmented Surgery | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/gmestdagh/adjoint-elastic-registration Yes -42 MICCAI Analyzing and Improving Low Dose CT Denoising Network via HU Level Slicing | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -43 MICCAI Analyzing Brain Structural Connectivity as Continuous Random Functions | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/sbci-brain/SBCI_Modeling_FPCA Yes -44 MICCAI Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/batmanlab/AGXNet Yes -45 MICCAI Anomaly-aware multiple instance learning for rare anemia disorder classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/marrlab/Anomaly-aware-MIL Yes -46 MICCAI Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -47 MICCAI Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/nihaomiao/MICCAI22_ADN Yes -48 MICCAI Atlas-based Semantic Segmentation of Prostate Zones | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/OnofreyLab/prostate_atlas_segm_miccai2022 Yes -49 MICCAI Atlas-powered deep learning (ADL) - application to diffusion weighted MRI | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -50 MICCAI Attention mechanisms for physiological signal deep learning: which attention should we take? | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://vitaldb.net Yes -51 MICCAI Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://doi.org/10.1016/j.dib.2021.106796 Yes -52 MICCAI Attention-enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Sunxy11/ADR Yes -53 MICCAI Attentive Symmetric Autoencoder for Brain MRI Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 http://adni.loni.usc.edu/ Yes -54 MICCAI Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/cviaai/AF-PLUS Yes -55 MICCAI AutoGAN-Synthesizer: Neural Architecture Search for Cross-Modality MRI Synthesis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -56 MICCAI AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://autolaparo.github.io Yes -57 MICCAI Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/uoNuM/two-stream-gma Yes -58 MICCAI Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual Labeling | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/IRCAD/cvl Yes -59 MICCAI Automatic identification of segmentation errors for radiotherapy using geometric learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/rrr-uom-projects/contour_auto_QATool Yes -60 MICCAI Automatic Segmentation of Hip Osteophytes in DXA Scans using U-Nets | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -61 MICCAI Automating Blastocyst Formation and Quality Prediction in Time-Lapse Imaging with Adaptive Key Frame Selection | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -62 MICCAI Automation of clinical measurements on radiographs of children’s hips | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -63 MICCAI BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/SanoScience/BabyNet Yes -64 MICCAI Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/JingweiSong/BDIS.git Yes -65 MICCAI Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/moucheng2017/EMSSL Yes -66 MICCAI Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/superjamessyx/robustness_benchmark Yes -67 MICCAI BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/monajati/BERTHop Yes -68 MICCAI Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://www.kaggle.com/competitions/ranzcr-clip-catheter-line-classification Yes -69 MICCAI BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/netanellavisdris/fetalbiometry Yes -70 MICCAI BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/NAIST-ICB/BMD-GAN Yes -71 MICCAI Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/changfeng3168/BE-SSL Yes -72 MICCAI BoxPolyp: Boost Generalized Polyp Segmentation using Extra Coarse Bounding Box Annotations | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -73 MICCAI Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/aldraus/BrainAwareReplacementsForAD Yes -74 MICCAI Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -75 MICCAI Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -76 MICCAI CACTUSS: Common Anatomical CT-US Space for US examinations | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/danivelikova/cactuss Yes -77 MICCAI Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/xmed-lab/CLD-Semi Yes -78 MICCAI Calibration of Medical Imaging Classification Systems with Weight Scaling | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -79 MICCAI Camera Adaptation for Fundus-Image-Based CVD Risk Estimation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/linzhlalala/CVD-risk-based-on-retinal-fundus-images Yes -80 MICCAI Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/marrlab/SHAPR_torch Yes -81 MICCAI Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -82 MICCAI CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/hding2455/CaRTS Yes -83 MICCAI CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ai-med Yes -84 MICCAI Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/renato145/CASurv Yes -85 MICCAI CephalFormer: Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -86 MICCAI Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -87 MICCAI CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Puzzled-Hui/CFDA Yes -88 MICCAI Characterization of brain activity patterns across states of consciousness based on variational auto-encoders | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -89 MICCAI CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/PLAN-Lab/ChexRelNet Yes -90 MICCAI ChrSNet: Chromosome Straightening using Self-attention Guided Networks | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/lijx1996/ChrSNet Yes -91 MICCAI CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/nadeemlab/CIR Yes -92 MICCAI Class Impression for Data-free Incremental Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/sanaAyrml/Class-Impresion-for-Data-free-Incremental-Learning.git Yes -93 MICCAI Classification-aided High-quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -94 MICCAI Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://camelyon16.grand-challenge.org/Data/ Yes -95 MICCAI CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/nadeemlab/CEP Yes -96 MICCAI Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -97 MICCAI Combining mixed-format labels for AI-based pathology detection pipeline in a large-scale knee MRI study | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -98 MICCAI Combining multiple atlases to estimate data-driven mappings between functional connectomes using optimal transport | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/dadashkarimi/carot Yes -99 MICCAI Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/GangmingZhao/tb-attribute-weak-localization. Yes -100 MICCAI Conditional Generative Data Augmentation for Clinical Audio Datasets | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://rocs.balgrist.ch/en/open-access/ Yes -101 MICCAI Conditional VAEs for confound removal and normative modelling of neurodegenerative diseases | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/alawryaguila/normativecVAE Yes -102 MICCAI Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://nihcc.app.box.com/v/ChestXray-NIHCC Yes -103 MICCAI Consistency-preserving Visual Question Answering in Medical Imaging | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/sergiotasconmorales/consistency_vqa Yes -104 MICCAI Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -105 MICCAI Context-aware Voxel-wise Contrastive Learning for Label Efficient Multi-organ Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -106 MICCAI ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -107 MICCAI ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -108 MICCAI Contrast-free Liver Tumor Detection using Ternary Knowledge Transferred Teacher-student Deep Reinforcement Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -109 MICCAI Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/xuesongwang/Contrastive-Functional-Connectivity-Graph-Learning Yes -110 MICCAI Contrastive learning for echocardiographic view integration | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/LishinC/VCN Yes -111 MICCAI Contrastive Masked Transformers for Forecasting Renal Transplant Function | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/leomlck/renal_transplant_imaging Yes -112 MICCAI Contrastive Re-localization and History Distillation in Federated CMR Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/JerryQseu/FedCRLD Yes -113 MICCAI Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/tianyu0207/weakly-polyp Yes -114 MICCAI Coronary R-CNN: Vessel-wise Method for Coronary Artery Lesion Detection and Analysis in Coronary CT Angiography | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -115 MICCAI CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://bitbucket.csiro.au/projects/CRCPMAX/repos/corticalflow/browse Yes -116 MICCAI CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ThierryJudge/CRISP-uncertainty Yes -117 MICCAI CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ayanglab/CS2 Yes -118 MICCAI Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -119 MICCAI DA-Net: Dual Branch Transformer and Adaptive Strip Upsampling for Retinal Vessels Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -120 MICCAI D’ARTAGNAN: Counterfactual Video Generation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/HReynaud/dartagnan Yes -121 MICCAI Data-Driven Deep Supervision for Skin Lesion Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -122 MICCAI Data-driven Multi-Modal Partial Medical Image Preregistration by Template Space Patch Mapping | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ApisXia/PartialMedPreregistration Yes -123 MICCAI DDPNet: A novel dual-domain parallel network for low-dose CT reconstruction | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -124 MICCAI Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -125 MICCAI Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/key1589745/decouple_predict Yes -126 MICCAI Deep filter bank regression for super-resolution of anisotropic MR brain images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -127 MICCAI Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -128 MICCAI Deep is a Luxury We Don’t Have | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/whiterabbit-ai/hct Yes -129 MICCAI Deep Laparoscopic Stereo Matching with Transformers | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/XuelianCheng/HybridStereoNet-main Yes -130 MICCAI Deep Learning based Modality-Independent Intracranial Aneurysm Detection | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -131 MICCAI Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -132 MICCAI Deep learning-based Head and Neck Radiotherapy Planning Dose Prediction via Beam-wise Dose Decomposition | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ukaukaaaa/BeamDosePrediction Yes -133 MICCAI Deep Motion Network for Freehand 3D Ultrasound Reconstruction | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -134 MICCAI Deep Multimodal Guidance for Medical Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/mayurmallya/DeepGuide No -135 MICCAI Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/CVRS-Hamlyn/Deep-Regression-with-SFFC-and-Image-Synthesis-for-Robot-Assisted-Endomicroscopy.git Yes -136 MICCAI Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -137 MICCAI Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -138 MICCAI Deep treatment response assessment and prediction of colorectal cancer liver metastases | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://clinicaltrials.gov/ct2/show/NCT01900717 Yes -139 MICCAI DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -140 MICCAI Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/guyn-idealab/Mouse-MRF-DL/ Yes -141 MICCAI DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/YemanBrhane/DeepMIF Yes -142 MICCAI DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Negin-Ghamsarian/DeepPyramid_MICCAI2022 Yes -143 MICCAI DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -144 MICCAI Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/CJSOrange/DMR-Deformer Yes -145 MICCAI Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/HeverLaw/PCENet-Image-Enhancement Yes -146 MICCAI Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -147 MICCAI Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -148 MICCAI Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/laowangbobo/Residual_MLP_CNN_Mixer Yes -149 MICCAI DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -150 MICCAI DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/yeerwen/DeSD Yes -151 MICCAI DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -152 MICCAI Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -153 MICCAI DEUE: Delta Ensemble Uncertainty Estimation for a More Robust Estimation of Ejection Fraction | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://echonet.github.io/dynamic/index.html#dataset Yes -154 MICCAI DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/miccaiif/DGMIL Yes -155 MICCAI Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/tk-lunit/miccai2022-annotation-cost Yes -156 MICCAI Diffusion Deformable Model for 4D Temporal Medical Image Generation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/torchDDM/DDM Yes -157 MICCAI Diffusion Models for Medical Anomaly Detection | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://gitlab.com/cian.unibas.ch/diffusion-anomaly Yes -158 MICCAI Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/MAILAB-Yonsei/CE-Organ-Recognition Yes -159 MICCAI Discrepancy and Gradient-guided Multi-Modal Knowledge Distillation for Pathological Glioma Grading | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/CityU-AIM-Group/MultiModal-learning Yes -160 MICCAI Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -161 MICCAI Disentangle then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -162 MICCAI DisQ: Disentangling Quantitative MRI Mapping of the Heart | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Changchun-Yang/DisQ Yes -163 MICCAI Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/zoedsy/DK_Topology_PCR Yes -164 MICCAI Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/weih527/DA-ISC Yes -165 MICCAI Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -166 MICCAI Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ShishuaiHu/DoCR Yes -167 MICCAI Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/WinstonHuTiger/2D_VAE_UDA_for_3D_sythesis Yes -168 MICCAI Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -169 MICCAI DOMINO: Domain-aware Model Calibration in Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/lab-smile/DOMINO Yes -170 MICCAI Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -171 MICCAI DRGen: Domain Generalization in Diabetic Retinopathy Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/BioMedIA-MBZUAI/DRGen Yes -172 MICCAI DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Huangziqi777/DS-3_Net Yes -173 MICCAI DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -174 MICCAI DSR: Direct Simultaneous Registration for Multiple 3D Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ZH-Mao/DSR Yes -175 MICCAI Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/XiongchaoChen/DuSFE_CrossRegistration Yes -176 MICCAI Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/caiyu6666/DDAD Yes -177 MICCAI Dual-graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/xiaotingsong/dGLCN Yes -178 MICCAI Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/basiralab/Dual-HINet Yes -179 MICCAI DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/XAIMI-Lab/DuDoCAF Yes -180 MICCAI Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/med-air/imFedSemi Yes -181 MICCAI EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/BioMedIA-MBZUAI/EchoCoTr Yes -182 MICCAI EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/MasoudMo/echognn Yes -183 MICCAI Edge-oriented Point-cloud Transformer for 3D Intracranial Aneurysm Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/CityU-AIM-Group/EPT Yes -184 MICCAI Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -185 MICCAI Efficient Bayesian Uncertainty Estimation for nnU-Net | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://www.creatis.insa-lyon.fr/Challenge/acdc/ Yes -186 MICCAI Efficient Biomedical Instance Segmentation via Knowledge Distillation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -187 MICCAI Efficient population based hyperparameter scheduling for medical image segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -188 MICCAI Electron Microscope Image Registration using Laplacian Sharpening Transformer U-Net | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -189 MICCAI Embedding Gradient-based Optimization in Image Registration Networks | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/gradirn/gradirn Yes -190 MICCAI Embedding Human Brain Function via Transformer | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -191 MICCAI End-to-End cell recognition by point annotation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -192 MICCAI End-to-End Evidential-Efficient Net for Radiomics Analysis of Brain MRI to Predict Oncogene Expression and Overall Survival | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -193 MICCAI End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -194 MICCAI End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -195 MICCAI End-to-End Segmentation of Medical Images via Patch-wise Polygons Prediction | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -196 MICCAI Enforcing connectivity of 3D linear structures using their 2D projections | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -197 MICCAI Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/MoriLabNU/TTN_for_SN_segmentation Yes -198 MICCAI Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -199 MICCAI Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ZerojumpLine/ModelEvaluationUnderClassImbalance Yes -200 MICCAI Evidence fusion with contextual discounting for multi-modality medical image segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/iWeisskohl/Evidence-fusion-with-contextual-discounting Yes -201 MICCAI Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/marsggbo/MICCAI2022-EMARS Yes -202 MICCAI Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -203 MICCAI Explaining Chest X-ray Pathologies in Natural Language | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/maximek3/MIMIC-NLE Yes -204 MICCAI Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ycwu1997/SS-Net Yes -205 MICCAI Extended Electrophysiological Source Imaging with Spatial Graph Filters | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -206 MICCAI FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -207 MICCAI Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -208 MICCAI Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/hellodfan/fastFF2FFPE Yes -209 MICCAI Fast Spherical Mapping of Cortical Surface Meshes using Deep Unsupervised Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -210 MICCAI Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://www.ukbiobank.ac.uk/ Yes -211 MICCAI Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/PhilipChicco/FRMIL Yes -212 MICCAI Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/e-pet/adni-bias Yes -213 MICCAI Federated Medical Image Analysis with Virtual Sample Synthesis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://medmnist.com/ Yes -214 MICCAI Federated Stain Normalization for Computational Pathology | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/MECLabTUDA/BottleGAN Yes -215 MICCAI FedHarmony: Unlearning Scanner Bias with Distributed Data | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/nkdinsdale/FedHarmony Yes -216 MICCAI Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/john-x-jiang/epnn Yes -217 MICCAI Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -218 MICCAI FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/soleilssss/FFCNet Yes -219 MICCAI Fine-grained Correlation Loss for Regression | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -220 MICCAI Flat-aware Cross-stage Distilled Framework for Imbalanced Medical Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 www.kaggle.com/c/diabetic-retinopathy-detection Yes -221 MICCAI Flexible Sampling for Long-tailed Skin Lesion Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -222 MICCAI fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/MICCAI22/fmri_nf Yes -223 MICCAI Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -224 MICCAI Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/KevynUtopia/Frequency-Aware-Inverse-Consistent-OCTA-Super-Resolution Yes -225 MICCAI From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/jadie1/VIB-DeepSSM Yes -226 MICCAI FSE Compensated Motion Correction for MRI Using Data Driven Methods | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/utcsilab/GAN_motion_correction Yes -227 MICCAI Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://tbportals.niaid.nih.gov Yes -228 MICCAI FUSSNet: Fusing Two Sources of Uncertainty for Semi-Supervised Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/grant-jpg/FUSSNet Yes -229 MICCAI GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/markendo/GaitForeMer Yes -230 MICCAI GazeRadar: A Gaze and Radiomics-guided Disease Localization Framework | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/bmi-imaginelab/gazeradar Yes -231 MICCAI Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/MoriLabNU/GCDepthL Yes -232 MICCAI Gigapixel Whole-Slide Images Classification using Locally Supervised Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/cvlab-stonybrook/local_learning_wsi Yes -233 MICCAI Global Multi-modal 2D/3D Registration via Local Descriptors Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -234 MICCAI GradMix for nuclei segmentation and classification in imbalanced pathology image datasets | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -235 MICCAI Graph convolutional network with probabilistic spatial regression: application to craniofacial landmark detection from 3D photogrammetry | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/cuMIP/3dphoto Yes -236 MICCAI Graph Emotion Decoding from Visually Evoked Neural Responses | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/zhongyu1998/GED Yes -237 MICCAI Graph-based Compression of Incomplete 3D Photoacoustic Data | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -238 MICCAI Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -239 MICCAI Hand Hygiene Quality Assessment using Image-to-Image Translation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/chaofanqw/HandTranslation Yes -240 MICCAI Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/huangxiao1234/miccai2022-BTSLCK.git Yes -241 MICCAI Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -242 MICCAI Histogram-based unsupervised domain adaptation for medical image classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/chronicom/histogram-based-gan-for-lung-disease-classification Yes -243 MICCAI How Much to Aggregate: Learning Adaptive Node-wise Scales on Graphs for Brain Networks | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -244 MICCAI Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://db.humanconnectome.org/ Yes -245 MICCAI Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/kimberly-amador/Spatiotemporal-CNN-Transformer Yes -246 MICCAI Ideal Midsagittal Plane Detection using Deep Hough Plane Network for Brain Surgical Planning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -247 MICCAI Identification of vascular cognitive impairment in adult moyamoya disease via integrated graph convolutional network | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -248 MICCAI Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-associated Interactions between Tumor-infiltrating Lymphocytes and Tumors | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -249 MICCAI Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Deep-MI/FastSurfer Yes -250 MICCAI Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -251 MICCAI Implicit Neural Representations for Generative Modeling of Living Cell Shapes | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://cbia.fi.muni.cz/research/simulations/implicit_shapes.html Yes -252 MICCAI Implicit Neural Representations for Medical Imaging Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/osamakhaan/iosnet Yes -253 MICCAI Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://tupac.grand-challenge.org/Dataset/ Yes -254 MICCAI Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/clu5/lumbar-conformal Yes -255 MICCAI Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -256 MICCAI INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/lindehesse/INSightR-Net Yes -257 MICCAI InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/hust-linyi/insmix Yes -258 MICCAI Instrument-tissue Interaction Quintuple Detection in Surgery Videos | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -259 MICCAI Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/mklz-sjy/IOFD Yes -260 MICCAI Interpretable differential diagnosis for Alzheimer’s disease and Frontotemporal dementia | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://ida.loni.usc.edu/ Yes -261 MICCAI Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/HennyJie/IBGNN Yes -262 MICCAI Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/miccai2022IMRE/miccai_2022_IMRE Yes -263 MICCAI Interpretable signature of consciousness in resting-state functional network brain activity | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -264 MICCAI Intervention & Interaction Federated Abnormality Detection with Noisy Clients | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -265 MICCAI Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -266 MICCAI Invertible Sharpening Network for MRI Reconstruction Enhancement | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -267 MICCAI Is a PET all you need? A multi-modal study for Alzheimer’s disease using 3D CNNs | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -268 MICCAI iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/uncbiag/iSegFormer Yes -269 MICCAI Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/CityU-AIM-Group/JCAS Yes -270 MICCAI Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/YuetingLi666/brain_gcn.git Yes -271 MICCAI Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://zmiclab.github.io/projects.html Yes -272 MICCAI Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/IsDling/predictTCL Yes -273 MICCAI Joint Region-Attention and Multi-Scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -274 MICCAI Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/zhengyushan/kat Yes -275 MICCAI Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/NeuronXJTU/KFGNet Yes -276 MICCAI Knowledge Distillation to Ensemble Global and Interpretable Prototype-based Mammogram Classification Models | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=70230508 Yes -277 MICCAI Landmark-free Statistical Shape Modeling via Neural Flow Deformations | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/davecasp/flowssm Yes -278 MICCAI Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/pianoza/LayerEnsembles Yes -279 MICCAI Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://gitlab.com/cian.unibas.ch/L2I Yes -280 MICCAI Learning Incrementally to Segment Multiple Organs in a CT Image | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -281 MICCAI Learning iterative optimisation for deformable image registration of lung CT with recurrent convolutional networks | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/multimodallearning/Learn2Optimise/ Yes -282 MICCAI Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -283 MICCAI Learning self-calibrated optic disc and cup segmentation from multi-rater annotations | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -284 MICCAI Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/rebeca-vetil/HealthyShapeVAE Yes -285 MICCAI Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/jingyzhang/SMG-Learning Yes -286 MICCAI Learning Tumor-Induced Deformations to Improve Tumor-Bearing Brain MR Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/jiameng1010/Brain_MRI_Tumor Yes -287 MICCAI Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -288 MICCAI Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/cuMIP/ctImage Yes -289 MICCAI Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -290 MICCAI Learning-based US-MR Liver Image Registration with Spatial Priors | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -291 MICCAI Lesion Guided Explainable Few Weak-shot Medical Report Generation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/jinghanSunn/Few-weak-shot-RG Yes -292 MICCAI Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/junl21/lacl Yes -293 MICCAI Lesion-aware Dynamic Kernel for Polyp Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ReaFly/LDNet Yes -294 MICCAI Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -295 MICCAI Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/adigasu/Labeling_Representations Yes -296 MICCAI LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/MHW-NKU/LIDP-model-evaluation Yes -297 MICCAI LifeLonger: A Benchmark for Continual Disease Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/mmderakhshani/LifeLonger Yes -298 MICCAI LiftReg: Limited Angle 2D/3D Deformable Registration | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/uncbiag/LiftReg Yes -299 MICCAI Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/guybenyosef/EchoGraphs Yes -300 MICCAI Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/agentdr1/LA_MIL Yes -301 MICCAI Local Graph Fusion of Multi-View MR Images for Knee Osteoarthritis Diagnosis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -302 MICCAI Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/wulalago/RLNLocalization Yes -303 MICCAI Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://drive.grand-challenge.org/ Yes -304 MICCAI Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Shawey94/Longitudinal-Infant-Functional-Connectivity-Prediction-via-Conditional-Intensive-Triplet-Network Yes -305 MICCAI Long-tailed Multi-label Retinal Diseases Recognition via Relational Learning and Knowledge Distillation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/liyiersan/RLKD Yes -306 MICCAI Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -307 MICCAI Low-Resource Adversarial Domain Adaptation for Cross-Modality Nucleus Detection | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -308 MICCAI LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Ruixxxx/LSSANet Yes -309 MICCAI MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/research-med/MAL Yes -310 MICCAI MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/YashSharma/MaNi Yes -311 MICCAI Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -312 MICCAI Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -313 MICCAI MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/cherise215/MaxStyle Yes -314 MICCAI MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/gxq1998/MCP-Net Yes -315 MICCAI Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Theodore-PKU/MC-DDPM Yes -316 MICCAI Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -317 MICCAI Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/jacobzhaoziyuan/Meta-Hallucinator Yes -318 MICCAI MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -319 MICCAI Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -320 MICCAI mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/YaoZhang93/mmFormer Yes -321 MICCAI Modality-adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/zzc1909/UNET-MFI Yes -322 MICCAI ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/han-liu/ModDropPlusPlus Yes -323 MICCAI Modelling Cycles in Brain Networks with the Hodge Laplacian | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/laplcebeltrami/hodge Yes -324 MICCAI Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -325 MICCAI Morphology-Aware Interactive Keypoint Estimation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/seharanul17/interactive_keypoint_estimation Yes -326 MICCAI Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/JoohyungLee0106/rectal_MR_volume_classification Yes -327 MICCAI MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -328 MICCAI mulEEG: A Multi-View Representation Learning on EEG Signals | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/likith012/mulEEG Yes -329 MICCAI Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task. | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -330 MICCAI Multi-head Attention-based Masked Sequence Model for Mapping Functional Brain Networks | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -331 MICCAI Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -332 MICCAI Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/hbliu98/CLFC-Brain-Tumor-Segmentation Yes -333 MICCAI Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -334 MICCAI Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -335 MICCAI Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/zhjohnchan/M3AE Yes -336 MICCAI Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -337 MICCAI Multi-Modal Unsupervised Pre-Training for Surgical Operating Room Workflow Analysis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -338 MICCAI Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -339 MICCAI Multiple Instance Learning with Mixed Supervision in Gleason Grading | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/bianhao123/mixed_supervision Yes -340 MICCAI Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/dsy199610/Multiscale-SR-MRSI-adjustable-sharpness Yes -341 MICCAI Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/mangoyuan/MUIS Yes -342 MICCAI Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -343 MICCAI Multi-Task Lung Nodule Detection in Chest Radiographs with a Dual Head Network | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -344 MICCAI Multi-task video enhancement for dental interventions | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://doi.org/10.34808/1jby-ay90 Yes -345 MICCAI Multi-TransSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/gluglurice/Multi-TransSP Yes -346 MICCAI Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -347 MICCAI MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://nihcc.app.box.com/v/ChestXray-NIHCC Yes -348 MICCAI NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Ruyi-Zha/naf_cbct Yes -349 MICCAI NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -350 MICCAI NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/920232796/NestedFormer Yes -351 MICCAI Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/M3DV/NeAR Yes -352 MICCAI Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/med-air/EndoNeRF Yes -353 MICCAI Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -354 MICCAI Noise transfer for unsupervised domain adaptation of retinal OCT images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ValentinKoch/SVDNA Yes -355 MICCAI Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -356 MICCAI Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/MungoMeng/Registration-NICE-Net Yes -357 MICCAI Nonlinear Conditional Time-varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -358 MICCAI Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-based Deep Negative Correlation Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/jywu511/BD-Net Yes -359 MICCAI NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/FBLADL/NVUM Yes -360 MICCAI On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -361 MICCAI On the Dataset Quality Control for Image Registration Evaluation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -362 MICCAI On the Uncertain Single-View Depths in Colonoscopies | MICCAI 2022 - Accepted Papers and Reviews 2022.0 http://cmic.cs.ucl.ac.uk/ColonoscopyDepth/ Yes -363 MICCAI One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/liuwan0208/One-Shot-Extensive-Data-Augmentation Yes -364 MICCAI Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/xmed-lab/OEEM Yes -365 MICCAI Online Reflective Learning for Robust Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -366 MICCAI OnlyCaps-Net, a capsule only based neural network for 2D and 3D semantic segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/savinienb/OnlyCaps-Net Yes -367 MICCAI Only-Train-Once MR Fingerprinting for Magnetization Transfer Contrast Quantification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -368 MICCAI Opinions Vary? Diagnosis First! | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -369 MICCAI Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -370 MICCAI Optimal MRI Undersampling Patterns for Pathology Localization | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/cviaai/IGS/ Yes -371 MICCAI Optimal Transport based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -372 MICCAI ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -373 MICCAI Orientation-guided Graph Convolutional Network for Bone Surface Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -374 MICCAI Orientation-Shared Convolution Representation for CT Metal Artifact Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -375 MICCAI Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -376 MICCAI Overlooked Trustworthiness of Saliency Maps | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/DIAL-RPI/Trustworthiness-of-Medical-XAI Yes -377 MICCAI Parameter-free latent space transformer for zero-shot bidirectional cross-modality liver segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -378 MICCAI Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/YanglanOu/patcher.git Yes -379 MICCAI Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/jcy132/DML_CT Yes -380 MICCAI PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/TechnionComputationalMRILab/PD-DWI Yes -381 MICCAI Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -382 MICCAI Personalized dMRI Harmonization on Cortical Surface | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -383 MICCAI PET denoising and uncertainty estimation based on NVAE model using quantile regression loss | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -384 MICCAI PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/lseventeen/PHTrans Yes -385 MICCAI Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://users.encs.concordia.ca/~impact/2022/06/10/demo-code-and-networks-weights-for-physically-inspired-constraint-for-unsupervised-regularized-ultrasound-elastography/ Yes -386 MICCAI Physiological Model based Deep Learning Framework for Cardiac TMP Recovery | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -387 MICCAI Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -388 MICCAI Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/HaozheLiu-ST/Point-Beyond-Class Yes -389 MICCAI Poisson2Sparse: Self-Supervised Poisson Denoising From a Single Image | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/tacalvin/Poisson2Sparse Yes -390 MICCAI Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/mattz10966/SPAPNet Yes -391 MICCAI Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/LeongDong/PCAMNet Yes -392 MICCAI Predicting molecular traits from tissue morphology through self-interactive multi-instance learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/superhy/LCSB-MIL Yes -393 MICCAI Predicting Spatio-Temporal Human Brain Response Using fMRI | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -394 MICCAI Privacy Preserving Image Registration | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/rtaiello/pp_image_registration Yes -395 MICCAI ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/skyz215/ProCo Yes -396 MICCAI Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/anzhao920/PrognosticBiomarkerDiscovery Yes -397 MICCAI Progression models for imaging data with Longitudinal Variational Auto Encoders | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/bsauty/longitudinal-VAEs Yes -398 MICCAI Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -399 MICCAI Progressive Subsampling for Oversampled Data - Application to Quantitative MRI | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/sbb-gh/PROSUB Yes -400 MICCAI Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/NVlabs/stylegan2 Yes -401 MICCAI PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -402 MICCAI Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ku-milab/PL-FC Yes -403 MICCAI Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/LLYXC/PBBL Yes -404 MICCAI Radiological Reports Improve Pre-Training for Localized Imaging Tasks on Chest X-Rays | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -405 MICCAI RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/yiqings/RandStainNA Yes -406 MICCAI Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Henningson/Vocal3D Yes -407 MICCAI Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -408 MICCAI Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/MASILab/C-SliceGen Yes -409 MICCAI RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -410 MICCAI Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/qzhangli/RPR Yes -411 MICCAI Region-guided CycleGANs for Stain Transfer in Whole Slide Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/jcboyd/miccai2022-roigan Yes -412 MICCAI Regression Metric Loss: Learning a Semantic Representation Space for Medical Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/DIAL-RPI/Regression-Metric-Loss Yes -413 MICCAI Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -414 MICCAI Reinforcement learning for active modality selection during diagnosis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/creatis-myriad/featureSelectionRL Yes -415 MICCAI Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/bellarude/MRSdeeplearning Yes -416 MICCAI Reliability-aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -417 MICCAI ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/TencentAILabHealthcare/ReMix Yes -418 MICCAI RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -419 MICCAI Removal of Confounders via Invariant Risk Minimization for Medical Diagnosis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/samzare/ConfounderRemoval Yes -420 MICCAI RepsNet: Combining Vision with Language for Automated Medical Reports | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -421 MICCAI Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -422 MICCAI Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -423 MICCAI Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/XuMengyaAmy/SwinMLP_TranCAP Yes -424 MICCAI Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/lofrienger/Single_SurgicalScene_For_Segmentation Yes -425 MICCAI Retrieval of surgical phase transitions using reinforcement learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/yitongzh/TRN_code Yes -426 MICCAI Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -427 MICCAI Rib Suppression in Digital Chest Tomosynthesis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/sunyh1/Rib-Suppression-in-Digital-Chest-Tomosynthesis Yes -428 MICCAI Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/BBillot/SynthSeg Yes -429 MICCAI RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/smilenaxx/RPLHR-CT Yes -430 MICCAI RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -431 MICCAI RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -432 MICCAI S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -433 MICCAI S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/manuel-tran/s5cl Yes -434 MICCAI Sample hardness based gradient loss for long-tailed cervical cell detection | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/M-LLiu/Grad-Libra Yes -435 MICCAI SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-Sequence MRI Diagnosis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -436 MICCAI SATr: Slice Attention with Transformer for Universal Lesion Detection | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/MIRACLE-Center/A3D_SATr Yes -437 MICCAI Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ad12/meddlr Yes -438 MICCAI Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://ieee-dataport.org/open-access/octa-500 Yes -439 MICCAI Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Qybc/Scribble2D5 Yes -440 MICCAI Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/HiLab-git/WSL4MIS Yes -441 MICCAI SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ABotond/SD-LayerNet Yes -442 MICCAI SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -443 MICCAI Segmentation of Whole-brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/NeuroImageComputingLab/3D_Curve_CNN Yes -444 MICCAI Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/faresmalik/SEViT Yes -445 MICCAI Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -446 MICCAI SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -447 MICCAI Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -448 MICCAI Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT) | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/harveerar/SMIT.git Yes -449 MICCAI Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -450 MICCAI Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -451 MICCAI Self-Supervised Learning of Morphological Representation for 3D EM Segments with Cluster-Instance Correlations | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/zhangchih/MorphConNet Yes -452 MICCAI Self-Supervised Pre-Training for Nuclei Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -453 MICCAI Semi-supervised histological image segmentation via hierarchical consistency enforcement | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/qgking/HCE Yes -454 MICCAI Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -455 MICCAI Semi-supervised learning with data harmonisation for biomarker discovery from resting state fMRI | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/SCSE-Biomedical-Computing-Group/SHRED Yes -456 MICCAI Semi-Supervised Medical Image Classification with Temporal Knowledge-Aware Regularization | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/CityU-AIM-Group/TEAR Yes -457 MICCAI Semi-Supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context Constraints | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/igip-liu/SLC-Net Yes -458 MICCAI Semi-Supervised PR Virtual Staining for Breast Histopathological Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -459 MICCAI Semi-Supervised Spatial Temporal Attention Network for Video Polyp Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ShinkaiZ/SSTAN Yes -460 MICCAI Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/joseph9337/DSG-net Yes -461 MICCAI SETMIL: Spatial Encoding Transformer-based Multiple Instance Learning for Pathological Image Analysis | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -462 MICCAI SGT: Scene Graph-Guided Transformer for Surgical Report Generation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ccccchenllll/SGT_master Yes -463 MICCAI Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/smallmax00/Shape_aware_Weakly-Semi_ODOC_seg Yes -464 MICCAI Shape-based features of white matter fiber-tracts associated with outcome in Major Depression Disorder | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -465 MICCAI ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/BWGZK/ShapePU Yes -466 MICCAI Show, Attend and Detect: Towards Fine-grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/NaehaSharif/Show-Attend-and-Detect Yes -467 MICCAI Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/liaw05/STMixer Yes -468 MICCAI Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -469 MICCAI Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -470 MICCAI SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/zsustc/Calibration Yes -471 MICCAI SMESwin Unet: Merging CNN and Transformer for Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -472 MICCAI Sparse Interpretation of Graph Convolutional Networks for Multi-Modal Diagnosis of Alzheimer’s Disease | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -473 MICCAI Spatial-hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/HeLongHuang/SHGNN Yes -474 MICCAI Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma based on Longitudinal Ultrasound Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -475 MICCAI Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -476 MICCAI Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -477 MICCAI Stay focused - Enhancing model interpretability through guided feature training | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://gitlab.com/nct_tso_public/gft Yes -478 MICCAI Stepwise Feature Fusion: Local Guides Global | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Qiming-Huang/ssformer Yes -479 MICCAI Stereo Depth Estimation via Self-Supervised Contrastive Representation Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/CVRS-Hamlyn/Stereo-Depth-Estimation-via-Self-Supervised-Contrastive-Representation-Learning/ Yes -480 MICCAI Stroke lesion segmentation from low-quality and few-shot MRIs via similarity-weighted self-ensembling framework | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/MINDLAB1/SIGN Yes -481 MICCAI Structure-consistent Restoration Network for Cataract Fundus Image Enhancement | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/liamheng/ArcNet-Medical-Image-Enhancement Yes -482 MICCAI Super-Focus: Domain Adaptation for Embryo Imaging via Self-Supervised Focal Plane Regression | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/PeterTheHe/Super-Focus Yes -483 MICCAI SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/TechnionComputationalMRILab/SUPER-IVIM-DC Yes -484 MICCAI Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/dawnofthedebayan/SupConCE_MICCAI_22 Yes -485 MICCAI Supervised Deep Learning for Head Motion Correction in PET | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/OnofreyLab/dl-hmc_miccai2022 Yes -486 MICCAI Suppressing Poisoning Attacks on Federated Learning for Medical Imaging | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Naiftt/SPAFD Yes -487 MICCAI Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://sisvse.github.io/ Yes -488 MICCAI Surgical Skill Assessment via Video Semantic Aggregation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 bit.ly/MICCAI2022ViSA Yes -489 MICCAI Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/lalithjets/Surgical_VQA.git Yes -490 MICCAI Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/cuicathy/MMD_SurvivalPrediction.git Yes -491 MICCAI SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/daviddmc/SVoRT Yes -492 MICCAI Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ayanglab/SDAUT Yes -493 MICCAI Swin-VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -494 MICCAI Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -495 MICCAI Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ironing/EEG-AD Yes -496 MICCAI Task-relevant Feature Replenishment for Cross-centre Polyp Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/CathyS1996/TRFRNet Yes -497 MICCAI TBraTS: Trusted Brain Tumor Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Cocofeat/TBraTS Yes -498 MICCAI Test Time Transform Prediction for Open Set Histopathological Image Recognition | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/agaldran/t3po.git Yes -499 MICCAI Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/med-air/TTADC Yes -500 MICCAI Test-Time Adaptation with Shape Moments for Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/mathilde-b/TTA Yes -501 MICCAI Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://gitlab.com/vitadx/articles/test-time-i2i-translation-ensembling Yes -502 MICCAI TGANet: Text-guided attention for improved polyp segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/nikhilroxtomar/TGANet Yes -503 MICCAI The (de)biasing effect of GAN-based augmentation methods on skin lesion images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/AgaMiko/debiasing-effect-of-gans Yes -504 MICCAI The Dice loss in the context of missing or empty labels: introducing Φ and Ã_x008f_µ | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/JeroenBertels/dicegrad Yes -505 MICCAI The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/mazurowski-lab/radiologyintrinsicmanifolds/ Yes -506 MICCAI The Semi-constrained Network-Based Statistic (scNBS): integrating local and global information for brain network inference | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/daiw3/scNBS.git. Yes -507 MICCAI Thoracic Lymph Node Segmentation in CT imaging via Lymph Node Station Stratification and Size Encoding | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -508 MICCAI TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/EmreTaha/TINC Yes -509 MICCAI TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ikboljon/tmss_miccai Yes -510 MICCAI Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/WeijieMax/CPC-Trans Yes -511 MICCAI Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -512 MICCAI Towards Holistic Surgical Scene Understanding | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/BCV-Uniandes/TAPIR Yes -513 MICCAI Towards performant and reliable undersampled MR reconstruction via diffusion model sampling | MICCAI 2022 - Accepted Papers and Reviews 2022.0 www.github.com/cpeng93/DiffuseRecon Yes -514 MICCAI Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-Modality Data | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/IBMEOX/UltrasoundVQA Yes -515 MICCAI Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/funkelab/linajea Yes -516 MICCAI TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -517 MICCAI TransEM: Residual Swin-Transformer based regularized PET image reconstruction | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/RickHH/TransEM Yes -518 MICCAI Transformer based feature fusion for left ventricle segmentation in 4D flow MRI | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/xsunn/4DFlowLVSeg Yes -519 MICCAI Transformer based multiple instance learning for weakly supervised histopathology image segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Nexuslkl/Swin_MIL Yes -520 MICCAI Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Ksuriuri/TRMT Yes -521 MICCAI Transformer Based Multi-View Network for Mammographic Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 http://www.eng.usf.edu/cvprg/Mammography/Database.html Yes -522 MICCAI Transformer Lesion Tracker | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/TangWen920812/TLT Yes -523 MICCAI Transforming the Interactive Segmentation for Medical Imaging | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -524 MICCAI TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -525 MICCAI TranSQ: Transformer-based Semantic Query for Medical Report Generation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/zjukongming/TranSQ Yes -526 MICCAI Trichomonas Vaginalis Segmentation in Microscope Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/CellRecog/cellRecog Yes -527 MICCAI UASSR:Unsupervised Arbitrary Scale Super-resolution Reconstruction of Single Anisotropic 3D images via Disentangled Representation Learning? | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/jialewang1/UASSR Yes -528 MICCAI ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/PerceptionComputingLab/ULTRA Yes -529 MICCAI Uncertainty Aware Sampling Framework of Weak-Label Learning for Histology Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/machiraju-lab/UA-CNN Yes -530 MICCAI Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -531 MICCAI Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/yanghan-yh/UGS-Net Yes -532 MICCAI Undersampled MRI Reconstruction with Side Information-Guided Normalisation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -533 MICCAI UNeXt: MLP-based Rapid Medical Image Segmentation Network | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/jeya-maria-jose/UNeXt-pytorch Yes -534 MICCAI Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Davidczy/Uni4Eye Yes -535 MICCAI Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -536 MICCAI Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://gbc-iitd.github.io/usucl Yes -537 MICCAI Unsupervised Cross-Disease Domain Adaptation by Lesion Scale Matching | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -538 MICCAI Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/marrlab/AE-CFE Yes -539 MICCAI Unsupervised Deep Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/asanomitakanori/Unsupervised-Deep-Non-Rigid-Alignment-by-Low-Rank-Loss-and-Multi-Input-Attention Yes -540 MICCAI Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-Recurrence Brain Tumor MRI Scans | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/cwmok/DIRAC Yes -541 MICCAI Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -542 MICCAI Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://refuge.grand-challenge.org/ Yes -543 MICCAI Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -544 MICCAI Unsupervised Nuclei Segmentation using Spatial Organization Priors | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/loic-lb/Unsupervised-Nuclei-Segmentation-using-Spatial-Organization-Priors Yes -545 MICCAI Unsupervised Representation Learning of Cingulate Cortical Folding Patterns | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/neurospin-projects/2021_jchavas_lguillon_deepcingulate Yes -546 MICCAI Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/yizhezhang2000/ure Yes -547 MICCAI USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/kyungsu-lee-ksl/USG-Net Yes -548 MICCAI Using Guided Self-Attention with Local Information for Polyp Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -549 MICCAI USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation during Fine-Adjustment Standard Fetal Plane Finding | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -550 MICCAI Vector Quantisation for Robust Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/AinkaranSanthi/Vector-Quantisation-for-Robust-Segmentation Yes -551 MICCAI Video-based Surgical Skills Assessment using Long term Tool Tracking | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -552 MICCAI Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -553 MICCAI Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer’s Disease using weakly annotated whole slide histopathological images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/aramis-lab/miccai2022-stratifiad.git Yes -554 MICCAI Visual explanations for the detection of diabetic retinopathy from retinal fundus images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/valentyn1boreiko/Fundus_VCEs Yes -555 MICCAI vMFNet: Compositionality Meets Domain-generalised Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/vios-s/vMFNet Yes -556 MICCAI Vol2Flow: Segment 3D Volumes using a Sequence of Registration Flows | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/AdelehBitarafan/Vol2Flow Yes -557 MICCAI Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 http://medicaldecathlon.com/ Yes -558 MICCAI WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-Contrast MRI Super-resolution | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/XAIMI-Lab/WavTrans Yes -559 MICCAI Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -560 MICCAI Weakly Supervised Online Action Detection for Infant General Movements | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/scofiedluo/WO-GMA Yes -561 MICCAI Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/zqh369/WSNTG Yes -562 MICCAI Weakly Supervised Volumetric Image Segmentation with Deformed Templates | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -563 MICCAI Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/BailiangJ/spine-ct-mr-registration Yes -564 MICCAI Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -565 MICCAI Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -566 MICCAI What can we learn about a generated image corrupting its latent representation? | MICCAI 2022 - Accepted Papers and Reviews 2022.0 Yes -567 MICCAI What Makes for Automatic Reconstruction of Pulmonary Segments | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/M3DV/ImPulSe Yes -568 MICCAI White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 http://www.humanconnectomeproject.org/ Yes -569 MICCAI Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/ZhangXin1997/MICCAI-2022 Yes -570 MICCAI Why patient data cannot be easily forgotten? | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://www.cs.toronto.edu/~kriz/cifar.html Yes -571 MICCAI XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/Solemoon/XMorpher Yes -572 MICCAI Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews 2022.0 https://github.com/azadef/ynet Yes -573 MICCAI 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/alinafdima/3Dseg-mip-depth Yes -574 MICCAI 3D Dental Mesh Segmentation Using Semantics-Based Feature Learning with Graph-Transformer | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/df-boy/SGTNet Yes -575 MICCAI 3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/HengCai-NJU/3D2DCT Yes -576 MICCAI 3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/OmkarThawakar/STT-UNET Yes -577 MICCAI 3D Teeth Reconstruction from Panoramic Radiographs using Neural Implicit Functions | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -578 MICCAI A Closed-form Solution to Electromagnetic Sensor Based Intraoperative Limb Length Measurement in Total Hip Arthroplasty | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -579 MICCAI A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -580 MICCAI A coupled-mechanisms modelling framework for neurodegeneration | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://adni.loni.usc.edu/ Yes -581 MICCAI A denoised Mean Teacher for domain adaptive point cloud registration | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/multimodallearning/denoised_mt_pcd_reg Yes -582 MICCAI A flexible framework for simulating and evaluating biases in deep learning-based medical image analysis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/estanley16/SimBA Yes -583 MICCAI A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -584 MICCAI A Model-Agnostic Framework for Universal Anomaly Detection of Multi-Organ and Multi-Modal Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/lianjizhe/MADDR_code Yes -585 MICCAI A Modulatory Elongated Model for Delineating Retinal Microvasculature in OCTA Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -586 MICCAI A Motion Transformer for Single Particle Tracking in Fluorescence Microscopy Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/imzhangyd/MoTT.git Yes -587 MICCAI A Multimodal Disease Progression Model for Genetic Associations with Disease Dynamics | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -588 MICCAI A Multi-Task Method for Immunofixation Electrophoresis Image Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/shiy19/IFE-classification Yes -589 MICCAI A Multi-Task Network for Anatomy Identification in Endoscopic Pituitary Surgery | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/dreets/pitnet-anat-public Yes -590 MICCAI A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -591 MICCAI A Novel Video-CTU Registration Method with Structural Point Similarity for FURS Navigation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -592 MICCAI A One-class Variational Autoencoder (OCVAE) cascade for classifying atypical bone marrow cell sub-types | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://doi.org/10.7937/TCIA.AXH3-T579 Yes -593 MICCAI A Patient-Specific Self-supervised Model for Automatic X-ray/CT Registration | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/BaochangZhang/PSSS_registration Yes -594 MICCAI A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/perceivelab/PLAN Yes -595 MICCAI A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/key1589745/Multi-view_liver Yes -596 MICCAI A Semantic-guided and Knowledge-based Generative Framework for Orthodontic Visual Outcome Preview | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -597 MICCAI A Sheaf Theoretic Perspective for Robust Prostate Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/AinkaranSanthi/A-Sheaf-Theoretic-Perspective-for-Robust-Segmentation Yes -598 MICCAI A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -599 MICCAI A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/AlfredQin/STNet Yes -600 MICCAI A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -601 MICCAI A Style Transfer-based Augmentation Framework for Improving Segmentation and Classification Performance across Different Sources in Ultrasound Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -602 MICCAI A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -603 MICCAI A Transfer Learning Approach to Localise a Deep Brain Stimulation Target | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://git.fmrib.ox.ac.uk/yqzheng1/hqaugmentation.jl Yes -604 MICCAI A Unified Deep-Learning-Based Framework for Cochlear Implant Electrode Array Localization | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -605 MICCAI A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ostadabbas/NNS-Detection-and-Segmentation Yes -606 MICCAI A2FSeg: Adaptive Multi-Modal Fusion Network for Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Zirui0623/A2FSeg.git Yes -607 MICCAI ACC-UNet: A Completely Convolutional UNet model for the 2020s | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/kiharalab/ACC-UNet Yes -608 MICCAI Accurate and Robust Patient Height and Weight Estimation in Clinical Imaging using a Depth Camera | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -609 MICCAI Accurate multi-contrast MRI super-resolution via a dual cross-attention transformer network | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Solor-pikachu/DCAMSR Yes -610 MICCAI ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/charlesyou999648/ACTION Yes -611 MICCAI ACT-Net: Anchor-context Action Detection in Surgery Videos | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -612 MICCAI Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -613 MICCAI Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/GiantJun/CL_Pytorch Yes -614 MICCAI Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/masadcv/MONet-MONAILabel Yes -615 MICCAI Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/DeepMicroscopy/AdaptiveRegionSelection Yes -616 MICCAI Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/lifangda01/AdaptiveSupervisedPatchNCE Yes -617 MICCAI Additional Positive Enables Better Representation Learning for Medical Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://challenge.isic-archive.com/landing/2019/ Yes -618 MICCAI Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/maxiao0234/ARTran Yes -619 MICCAI Adult-like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/SaberPRC/IsointenseBrainTissueSeg.git Yes -620 MICCAI AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/EndoluminalSurgicalVision-IMR/AirwayFormer Yes -621 MICCAI Alias-Free Co-Modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/zhiyuns/AFCM Yes -622 MICCAI ALL-IN: A Local GLobal Graph-based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/pazadimo/ALL-IN Yes -623 MICCAI AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://www.kaggle.com/c/rsna-pneumonia-detection-challenge Yes -624 MICCAI AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/windstormer/AME-CAM Yes -625 MICCAI An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/nadeemlab/DeepLIIF Yes -626 MICCAI An Anti-Biased TBSRTC-Category Aware Nuclei Segmentation Framework with A Multi-Label Thyroid Cytology Benchmark | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Junchao-Zhu/TCSegNet Yes -627 MICCAI An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and its Application for Automatically Computing the Conformational Pathway | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -628 MICCAI An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/SVRTK/Fetal-T2star-Recon Yes -629 MICCAI An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/fiy2W/mri_seq2seq Yes -630 MICCAI An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/favour-nerrise/xGW-GAT Yes -631 MICCAI An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -632 MICCAI An Unsupervised Multispectral Image Registration Network for Skin Diseases | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/SH-Diao123/MSIR Yes -633 MICCAI Analysis of Suture Force Simulations for Optimal Orientation of Rhomboid Skin Flaps | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -634 MICCAI Anatomical Landmark Detection Using a Multiresolution Learning Approach with a Hybrid Transformer-CNN Model | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/seriee/Multiresolution-HTC.git Yes -635 MICCAI Anatomical-aware Point-Voxel Network for Couinaud Segmentation in Liver CT | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -636 MICCAI Anatomy-Driven Pathology Detection on Chest X-rays | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/philip-mueller/adpd Yes -637 MICCAI Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MIC-DKFZ/anatomy_informed_DA Yes -638 MICCAI Aneurysm Pose Estimation with Deep Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://gitlab.inria.fr/yassis/DeepAnePose Yes -639 MICCAI AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/RuishengSu/AngioMoCo Yes -640 MICCAI Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/tomeramit/Annotator-Consensus-Prediction Yes -641 MICCAI Anti-Adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -642 MICCAI AR2T: Advanced Realistic Rendering Technique for Biomedical Volumes | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://www.kaggle.com/datasets/imaginar2t/cbctdata Yes -643 MICCAI Ariadne’s Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Junelin2333/LanGuideMedSeg-MICCAI2023 Yes -644 MICCAI ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/DuYooho/ArSDM Yes -645 MICCAI Artifact Restoration in Histology Images with Diffusion Probabilistic Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/zhenqi-he/ArtiFusion Yes -646 MICCAI ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -647 MICCAI ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/hao1635/ASCON Yes -648 MICCAI Assignment Theory-Augmented Neural Network for Dental Arch Labeling | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -649 MICCAI Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ThierryJudge/contouring-uncertainty Yes -650 MICCAI Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer’s Disease using Multimodal Imaging Genetics | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/rongzhou7/ADCCA Yes -651 MICCAI atTRACTive: Semi-automatic white matter tract segmentation using active learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MIC-DKFZ/atTRACTive_simulations Yes -652 MICCAI AUA-dE: An adaptive uncertainty guided attention for diffusion MRI models estimation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -653 MICCAI Automated CT Lung Cancer Screening Workflow using 3D Camera | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -654 MICCAI Automatic Bleeding Risk Rating System of Gastric Varices | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/LuyueShi/gastric-varices Yes -655 MICCAI Automatic Retrieval of Corresponding US Views in Longitudinal Examinations | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/hamidehkerdegari/Muscle-view-retrieval Yes -656 MICCAI Automatic Segmentation of Internal Tooth Structure from CBCT Images using Hierarchical Deep Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Saeeeae/Internal-Tooth-Segmentation Yes -657 MICCAI Automatic Surgical Reconstruction for Orbital Blow-out Fracture via Symmetric Prior Anatomical Knowledge-Guided Adversarial Generative Network | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -658 MICCAI B-Cos Aligned Transformers Learn Human-Interpretable Features | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://zenodo.org/record/1214456 Yes -659 MICCAI BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/takimailto/BerDiff Yes -660 MICCAI Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ZijianD/Brain-TokenGT.git Yes -661 MICCAI Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/FlynnYe/BMCL Yes -662 MICCAI BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -663 MICCAI Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -664 MICCAI Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/PlayerSAL/KGA-Net Yes -665 MICCAI Boundary Difference Over Union Loss For Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/sunfan-bvb/BoundaryDoULoss Yes -666 MICCAI Boundary-weighted logit consistency improves calibration of segmentation networks | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/neerakara/BWCR Yes -667 MICCAI Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/goodaycoder/BAR Yes -668 MICCAI BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/IntelliDAL/Graph/tree/main/BrainUSL Yes -669 MICCAI Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -670 MICCAI Bridging ex-vivo training and intra-operative deployment for surgical margin assessment with Evidential Graph Transformer | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/med-i-lab/evidential_graph_transformers/ Yes -671 MICCAI Building A Bridge: Close The Domain Gap in CT Metal Artifact Reduction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -672 MICCAI Can point cloud networks learn statistical shape models of anatomies? | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/jadie1/PointCompletionSSM Yes -673 MICCAI CARL: Cross-aligned Representation Learning for Multi-view Lung Cancer Histology Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/candyknife/CARL Yes -674 MICCAI Cascade Transformer Encoded Boundary-Aware Multibranch Fusion Networks for Real-Time and Accurate Colonoscopic Lesion Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -675 MICCAI CAS-Net: Cross-view Aligned Segmentation by Graph Representation of Knees | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/zixuzhuang/OAI_seg Yes -676 MICCAI Category-independent Visual Explanation for Medical Deep Network Understanding | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -677 MICCAI Category-level Regularized Unlabeled-to-labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://liuquande.github.io/SAML/ Yes -678 MICCAI CAT-ViL: Co-Attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/longbai1006/CAT-ViL Yes -679 MICCAI CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ayanglab/CDiffMR Yes -680 MICCAI CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ZhenrongShen/CellGAN Yes -681 MICCAI CenterlinePointNet++: A new point cloud based architecture for coronary artery pressure drop and vFFR estimation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -682 MICCAI Centroid-aware feature recalibration for cancer grading in pathology images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/colin19950703/CaFeNet Yes -683 MICCAI Certification of Deep Learning Models for Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/othmanela/medical_cert_seg Yes -684 MICCAI Chest X-ray Image Classification: A Causal Perspective | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/zc2024/Causal_CXR Yes -685 MICCAI CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/microsoft/MedImaging-ModelDriftMonitoring Yes -686 MICCAI CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/zhanghx-iim-ahu/CircleFormer Yes -687 MICCAI CL-ADDA: Contrastive Learning with Amplitude-Driven Data Augmentation for fMRI-Based Individualized Predictions | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/tianbjtu/CL-ADDA.git Yes -688 MICCAI Class Specific Feature Disentanglement And Text Embeddings For Multi-Label Generalized Zero Shot CXR Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -689 MICCAI Class-Aware Feature Alignment for Domain Adaptative Mitochondria Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Danyin813/CAFA. Yes -690 MICCAI Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/med-air/Client-DP-FL Yes -691 MICCAI Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -692 MICCAI CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -693 MICCAI Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -694 MICCAI Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -695 MICCAI CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ycwu1997/CoactSeg Yes -696 MICCAI Co-assistant Networks for Label Correction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/shannak-chen/CNLC Yes -697 MICCAI Cochlear Implant Fold Detection in Intra-operative CT using Weakly Supervised Multi-Task Deep Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -698 MICCAI CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/SeeMeInCrown/CoLa_Diff_MultiModal_MRI_Synthesis Yes -699 MICCAI Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/brain-intelligence-lab/GIRNet Yes -700 MICCAI Collaborative modality generation and tissue segmentation for early-developing macaque brain MR images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/XueyangWWW/CSGF Yes -701 MICCAI COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/han-liu/COLosSAL Yes -702 MICCAI Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/jhonP-Li/MRC_VFC Yes -703 MICCAI Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Binz-Chen/MICCAI2023_SSCL Yes -704 MICCAI Community-Aware Transformer for Autism Prediction in fMRI Connectome | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ubc-tea/Com-BrainTF Yes -705 MICCAI Computationally Efficient 3D MRI Reconstruction with Adaptive MLP | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -706 MICCAI Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/xhu248/cond_ddpm_wsss Yes -707 MICCAI Conditional Physics-Informed Graph Neural Network For Fractional Flow Reserve Assessment | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -708 MICCAI Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/m-qiang/CoTAN Yes -709 MICCAI Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/aijinrjinr/MLB-Seg Yes -710 MICCAI Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -711 MICCAI Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/xmed-lab/CPR Yes -712 MICCAI Continual Learning for Abdominal Multi-Organ and Tumor Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -713 MICCAI ConTrack: Contextual Transformer for Device Tracking in X-ray | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -714 MICCAI Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Show-han/PET-Reconstruction Yes -715 MICCAI Contrastive Feature Decoupling for Weakly-supervised Disease Detection | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Jhih-Ciang/PANDA-MIL Yes -716 MICCAI Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/cchen-cc/CMITM Yes -717 MICCAI ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/xianlin7/ConvFormer Yes -718 MICCAI Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -719 MICCAI cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MIC-DKFZ/cOOpD Yes -720 MICCAI Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Herschel555/CAML Yes -721 MICCAI CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/YH-Qiu/CorSegRec Yes -722 MICCAI CortexMorph: fast cortical thickness estimation via diffeomorphic registration using VoxelMorph | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/SCAN-NRAD/CortexMorph Yes -723 MICCAI Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://surfer.nmr.mgh.harvard.edu/fswiki/recon-all-clinical Yes -724 MICCAI Coupling Bracket Segmentation and Tooth Surface Reconstruction on 3D Dental Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -725 MICCAI COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/edurbi/MICCAI2023 Yes -726 MICCAI Cross-adversarial local distribution regularization for semi-supervised medical image segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/PotatoThanh/Cross-adversarial-local-distribution-regularization Yes -727 MICCAI Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/JayParanjape/Barlow-Adaptor Yes -728 MICCAI Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/VIROBO-15/XM-GAN Yes -729 MICCAI Cross-view Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-ray Pair | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -730 MICCAI CT Kernel Conversion Using Multi-Domain Image-to-Image Translation with Generator-Guided Contrastive Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/cychoi97/GGCL Yes -731 MICCAI CTFlow: Mitigating Effects of Computed Tomography Acquisition and Reconstruction with Normalizing Flows | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/hsu-lab/ctflow Yes -732 MICCAI CT-guided, Unsupervised Super-resolution Reconstruction of Single 3D Magnetic Resonance Image | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -733 MICCAI CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/kakaobrain/cxr-clip Yes -734 MICCAI CycleSTTN: A Learning-Based Temporal Model for Specular Augmentation in Endoscopy | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/RemaDaher/CycleSTTN Yes -735 MICCAI DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/csccsccsccsc/DARC Yes -736 MICCAI DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/aimagelab/mil4wsi Yes -737 MICCAI DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://kits19.grand-challenge.org/ Yes -738 MICCAI Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/mpavlak25/data-audit Yes -739 MICCAI DBTrans: A Dual-Branch Vision Transformer for Multi-modal Brain Tumor Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Aru321/DBTrans Yes -740 MICCAI DCAug: Domain-aware & Content-consistent Cross-cycle Framework for Tumor Augmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -741 MICCAI Debiasing Medical Visual Question Answering via Counterfactual Training | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -742 MICCAI Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -743 MICCAI Decoupled Consistency for Semi-supervised Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/wxfaaaaa/DCNet Yes -744 MICCAI DeDA: Deep Directed Accumulator | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/tinymilky/DeDA Yes -745 MICCAI Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -746 MICCAI Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/RViMLab/homography_imitation_learning Yes -747 MICCAI Deep Learning for Tumor-associated Stroma Identification in Prostate Histopathology Slides | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/zcwang0702/DeepFieldEffect_StromaNet Yes -748 MICCAI Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -749 MICCAI Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/kaipackhaeuser/PriCheXy-Net Yes -750 MICCAI Deep Mutual Distillation for Semi-Supervised Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/SilenceMonk/Dual-Mutual-Distillation Yes -751 MICCAI Deep probability contour framework for tumour segmentation and dose painting in PET images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://www.aicrowd.com/challenges/miccai-2021-hecktor Yes -752 MICCAI Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -753 MICCAI Deep unsupervised clustering for conditional identification of subgroups within a digital pathology image set | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/DIDSR/DomId Yes -754 MICCAI DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/mturja-vf-ic-bd/DeepGraphDMD Yes -755 MICCAI DeepSOZ: A Robust Deep Model for Joint Temporal and Spatial Seizure Onset Localization from Multichannel EEG Data | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/deeksha-ms/DeepSOZ.git Yes -756 MICCAI Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/hrlblab/MolecularEL Yes -757 MICCAI Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://nihcc.app.box.com/v/DeepLesion Yes -758 MICCAI Deployment of Image Analysis Algorithms under Prevalence Shifts | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/IMSY-DKFZ/prevalence-shifts Yes -759 MICCAI Detecting domain shift in multiple instance learning for digital pathology using Fréchet Domain Distance | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -760 MICCAI Detecting the Sensing Area of A Laparoscopic Probe in Minimally Invasive Cancer Surgery | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/br0202/Sensing_area_detection.git Yes -761 MICCAI Detection of basal cell carcinoma in whole slide images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -762 MICCAI Detection-free Pipeline for Cervical Cancer Screening of Whole Slide Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/thebestannie/Detection-free-MICCAI2023 Yes -763 MICCAI Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/limy-ulab/US-SEG Yes -764 MICCAI Development and Fast Transferring of General Connectivity-based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-learner | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/dasklarleo/fMRI_meta/tree/main Yes -765 MICCAI Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ShishuaiHu/CCSDG Yes -766 MICCAI DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/xmed-lab/DHC Yes -767 MICCAI Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/zifuwanggg/JDTLosses Yes -768 MICCAI DiffDP: Radiotherapy Dose Prediction via a Diffusion Model | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/scufzh/DiffDP Yes -769 MICCAI Differentiable Beamforming for Ultrasound Autofocusing | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/waltsims/dbua Yes -770 MICCAI DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/scott-yjyang/DiffMIC Yes -771 MICCAI DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/hvcl/DiffMix Yes -772 MICCAI DiffULD: Diffusive Universal Lesion Detection | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/momopusheen/DiffULD Yes -773 MICCAI DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -774 MICCAI Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Medical-AI-Lab-of-JNU/DKM Yes -775 MICCAI Diffusion Transformer U-Net for Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -776 MICCAI Diffusion-based Data Augmentation for Nuclei Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -777 MICCAI Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ibrahimethemhamamci/HierarchicalDet Yes -778 MICCAI DiMix: Disentangle-and-Mix based domain generalizable medical image segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -779 MICCAI DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ImFusionGmbH/DISA-universal-multimodal-registration Yes -780 MICCAI DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/xinwangxinwang/DisAsymNet Yes -781 MICCAI DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Yebulabula/DisC-Diff Yes -782 MICCAI Discovering Brain Network Dysfunction in Alzheimer’s Disease Using Brain Hypergraph Neural Network | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -783 MICCAI Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -784 MICCAI Distilling BlackBox to Interpretable models for Efficient Transfer Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/batmanlab/MICCAI-2023-Route-interpret-repeat-CXRs Yes -785 MICCAI Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/noc-lab/drl_mri Yes -786 MICCAI Diversity-preserving Chest Radiographs Generation from Reports in One Stage | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -787 MICCAI DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/hexiaoxiao-cs/DMCVR Yes -788 MICCAI Do we really need that skip-connection? Understanding its interplay with task complexity | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/amithjkamath/to_skip_or_not Yes -789 MICCAI Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Negin-Ghamsarian/Transformation-Invariant-Self-Training-MICCAI23 Yes -790 MICCAI Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/htregidgo/joint_diffusion_structural_seg Yes -791 MICCAI DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -792 MICCAI Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ruefene/doselo Yes -793 MICCAI DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Yaziwel/Multi-Center-PET-Image-Synthesis Yes -794 MICCAI Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/jmzhang79/Dual-ArbNet Yes -795 MICCAI Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/FetalUltrasound/DCDM Yes -796 MICCAI Dual Domain Motion Artifacts Correction for MR Imaging Under Guidance of K-space Uncertainty | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Jiazhen-Wang/D2MC-Net-main Yes -797 MICCAI DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -798 MICCAI Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Joey2117/DCLU Yes -799 MICCAI Dynamic Functional Connectome Harmonics | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -800 MICCAI Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/fightingkitty/MHGSA Yes -801 MICCAI Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN using T1-MRI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Leng-10/DH-ProGCN Yes -802 MICCAI EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MasoudMo/echoglad Yes -803 MICCAI ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/zylbuaa/ECL.git Yes -804 MICCAI EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Mak-Ta-Reque/EdgeAL Yes -805 MICCAI Edge-aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -806 MICCAI EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Haolin-Yuan/EdgeMixup Yes -807 MICCAI Efficient Spatiotemporal Learning of Microscopic Video for Augmented Reality-Guided Phacoemulsification Cataract Surgery | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -808 MICCAI Efficient Subclass Segmentation in Medical Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/OvO1111/EfficientSubclassLearning Yes -809 MICCAI EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/JCruan519/EGE-UNet Yes -810 MICCAI Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -811 MICCAI Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/maxrohleder/FUME Yes -812 MICCAI Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/CAMMA-public/SurgLatentGraph Yes -813 MICCAI EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Ruyi-Zha/endosurf.git Yes -814 MICCAI Enhance Early Diagnosis Accuracy of Alzheimer’s Disease by Elucidating Interactions between Amyloid Cascade and Tau Propagation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -815 MICCAI Enhancing Automatic Placenta Analysis through Distributional Feature Recomposition in Vision-Language Contrastive Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -816 MICCAI Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -817 MICCAI EoFormer: Edge-oriented Transformer for Brain Tumor Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/sd0809/EoFormer Yes -818 MICCAI EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/SiyuanYan1/EPVT Yes -819 MICCAI Estimated time to surgical procedure completion: An exploration of video analysis methods | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/theator/etc Yes -820 MICCAI Estimation of 3T MR images from 1.5T images regularized with Physics based Constraint | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://drive.google.com/drive/folders/1WbzkBJS1BWAje8aF0ty2SWYTQ9i0B7Yr?usp=sharing Yes -821 MICCAI Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/KellaDoe/ERNN Yes -822 MICCAI Evolutionary normalization optimization boosts semantic segmentation network performance | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/neuluna/ga-unet Yes -823 MICCAI Explainable Image Classification with Improved Trustworthiness for Tissue Characterisation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/alfieroddan/Explainable-Image-Classification Yes -824 MICCAI Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task through Visualizing Functions within the Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -825 MICCAI Exploring Brain Function-Structure Connectome Skeleton via Self-Supervised Graph-Transformer Approach | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/kang105/TSGR Yes -826 MICCAI Exploring Unsupervised Cell Recognition with Prior Self-activation Maps | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/cpystan/PSM Yes -827 MICCAI Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/code-Porunacabeza/gaze_seg/ Yes -828 MICCAI Factor Space and Spectrum for Medical Hyperspectral Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/boxiangyun/Dual-Stream-MHSI Yes -829 MICCAI FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/XuZikang/FairAdaBN Yes -830 MICCAI Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/tpinetz/low-dose-gadolinium-mri-synthesis Yes -831 MICCAI Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://www.kaggle.com/datasets/awsaf49/brats2020-training-data Yes -832 MICCAI Fast Reconstruction for Deep Learning PET Head Motion Correction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/OnofreyLab/dl-hmc_fast_recon_miccai2023 Yes -833 MICCAI Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/HReynaud/EchoDiffusion Yes -834 MICCAI FedContrast-GPA: Heterogeneous Federated Optimization via Local Contrastive Learning and Global Process-aware Aggregation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -835 MICCAI FEDD - Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/hectorcarrion/fedd Yes -836 MICCAI Federated Condition Generalization on Low-dose CT Reconstruction via Cross-domain Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -837 MICCAI Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -838 MICCAI FedGrav: An Adaptive Federated Aggregation Algorithm for Multi-institutional Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -839 MICCAI FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/wnn2000/FedIIC Yes -840 MICCAI FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ubc-tea/FedSoup Yes -841 MICCAI FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/haijunkenan/FE-STGNN Yes -842 MICCAI FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/faresmalik/FeSViBS Yes -843 MICCAI Few Shot Medical Image Segmentation with Cross Attention Transformer | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 git@github.com:hust-linyi/CAT-Net.git Yes -844 MICCAI Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/YazhouZhu19/RPT Yes -845 MICCAI Fine-grained Hand Bone Segmentation via Adaptive Multi-dimensional Convolutional Network and Anatomy-constraint Loss | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/BL-Zeng/AMCNet Yes -846 MICCAI Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -847 MICCAI Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -848 MICCAI FLIm-based In Vivo Classification of Residual Cancer in the Surgical Cavity during Transoral Robotic Surgery | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -849 MICCAI Flow-based Geometric Interpolation of Fiber Orientation Distribution Functions | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -850 MICCAI FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -851 MICCAI FocalUNETR: A Focal Transformer for Boundary-aware Prostate Segmentation using CT Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -852 MICCAI Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ladderlab-xjtu/forensic_pathology Yes -853 MICCAI Forward-solution aided deep-learning framework for patient-specific noninvasive cardiac ectopic pacing localization | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -854 MICCAI Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 GitHub.com/JLiangLab/Ark Yes -855 MICCAI Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/med-air/Endo-FM Yes -856 MICCAI Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -857 MICCAI FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Masaaki-75/freeseed Yes -858 MICCAI Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/asif-hanif/vafa Yes -859 MICCAI Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/liamheng/Non-IID_Medical_Image_Segmentation Yes -860 MICCAI From Mesh Completion to AI Designed Crown | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Golriz-code/DMC.git Yes -861 MICCAI From Sparse to Precise: A Practical Editing Approach for Intracardiac Echocardiography Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -862 MICCAI From Tissue to Sound: Model-based Sonification of Medical Imaging | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -863 MICCAI FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/xmed-lab/FSDiffReg.git Yes -864 MICCAI Full Image-index Remainder based Single Low-dose DR/CT Self-supervised Denoising | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -865 MICCAI Fully Bayesian VIB-DeepSSM | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/jadie1/BVIB-DeepSSM Yes -866 MICCAI Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/xmed-lab/FDDM Yes -867 MICCAI Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/HMS-CardiacMR/Myocardial_Scar_Detection Yes -868 MICCAI Gall Bladder Cancer Detection from US Images with Only Image Level Labels | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://gbc-iitd.github.io/wsod-gbc Yes -869 MICCAI Gene-induced Multimodal Pre-training for Image-omic Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/huangwudiduan/GIMP Yes -870 MICCAI Generating High-Resolution 3D CT with 12-bit Depth using a Diffusion Model with Adjacent Slice and Intensity Calibration Network | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -871 MICCAI Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -872 MICCAI Geometric Ultrasound Localization Microscopy | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://zenodo.org/record/4343435 Yes -873 MICCAI Geometry-adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Meteorary/GALA Yes -874 MICCAI Geometry-invariant abnormality detection | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=93258287 Yes -875 MICCAI GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/xmed-lab/GL-Fusion Yes -876 MICCAI Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -877 MICCAI GLSFormer : Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/nisargshah1999/GLSFormer Yes -878 MICCAI GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MediaBrain-SJTU/GPFL-GRACE Yes -879 MICCAI Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -880 MICCAI Graph Convolutional Network with Morphometric Similarity Networks for Schizophrenia Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -881 MICCAI Graph-theoretic automatic lesion tracking and detection of patterns of lesion changes in longitudinal CT studies | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -882 MICCAI GSDG: Exploring A Global Semantic-guided Dual-stream Graph Model for Automated Volume Differential Diagnosis and Prognosis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 http://ncov-ai.big.ac.cn/download?lang=en Yes -883 MICCAI GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/wulalago/GSMorph Yes -884 MICCAI Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Zrrr1997/Guiding-The-Guidance Yes -885 MICCAI H2GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/CUHK-AIM-Group/HHGM Yes -886 MICCAI HACL-Net: Hierarchical Attention and Contrastive Learning Network for MRI-Based Placenta Accreta Spectrum Diagnosis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/LouieBHLu/HACL-Net Yes -887 MICCAI HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -888 MICCAI HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ShanghaiTech-IMPACT/Periodental_Disease Yes -889 MICCAI H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/shijun18/H-DenseFormer Yes -890 MICCAI HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/CODESofWenqi/HENet Yes -891 MICCAI Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/PLAN-Lab/CheXRelFormer Yes -892 MICCAI High-Quality Virtual Single-Viewpoint Surgical Video: Geometric Autocalibration of Multiple Cameras in Surgical Lights | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/isogawalab/SingleViewSurgicalVideo Yes -893 MICCAI High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MWod/DeepImplant_MICCAI_2023 Yes -894 MICCAI HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/HKU-MedAI/HIGT Yes -895 MICCAI Histopathology Image Classification using Deep Manifold Contrastive Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/hvcl/Deep-Manifold-Contrastive-Learning Yes -896 MICCAI How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers? | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/VITA-Group/PruneCXR Yes -897 MICCAI How Reliable are the Metrics Used for Assessing Reliability in Medical Imaging? | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MayankGupta73/Robust-Calibration Yes -898 MICCAI Identification of Disease-sensitive Brain Imaging Phenotypes and Genetic Factors using GWAS Summary Statistics | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -899 MICCAI IIB-MIL: Integrated instance-level and bag-level multiple instances learning with label disambiguation for pathological image analysis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/TencentAILabHealthcare/IIB-MIL Yes -900 MICCAI Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -901 MICCAI Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -902 MICCAI Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/charlesyou999648/MORSE Yes -903 MICCAI Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brain | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/BrainImageAnalysis/ImpRegDec Yes -904 MICCAI Importance Weighted Variational Cardiac MRI Registration Using Transformer and Implicit Prior | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -905 MICCAI Improved flexibility and interpretability of large vessel stroke prognostication using image synthesis and multi-task learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -906 MICCAI Improved Multi-Shot Diffusion-Weighted MRI with Zero-Shot Self-Supervised Learning Reconstruction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/jaejin-cho/miccai2023 Yes -907 MICCAI Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -908 MICCAI Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/DasuberVetLeonidas/SwooshActivationFunction Yes -909 MICCAI Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -910 MICCAI Improving Outcome Prediction of Pulmonary Embolism by De-Biased Multi-Modality Model | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -911 MICCAI Improving Pathology Localization: Multi-Series Joint Attention Takes the Lead | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -912 MICCAI Incomplete Multimodal Learning for Visual Acuity Prediction after Cataract Surgery Using Masked Self-Attention | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/liyiersan/MSA Yes -913 MICCAI Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -914 MICCAI Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -915 MICCAI Infusing physically inspired known operators in deep models of ultrasound elastography | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 http://code.sonography.ai/ Yes -916 MICCAI Instance-Aware Diffusion Model for Gland Segmentation in Colon Histology Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -917 MICCAI Instructive Feature Enhancement for Dichotomous Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/yezi-66/IFE Yes -918 MICCAI Intelligent Virtual B-scan Mirror (IVBM) | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -919 MICCAI Interpretable Deep Biomarker for Serial Monitoring of Carotid Atherosclerosis Based on Three-Dimensional Ultrasound Imaging | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -920 MICCAI Interpretable Medical Image Classification using Prototype Learning and Privileged Information | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/XRad-Ulm/Proto-Caps Yes -921 MICCAI Inter-slice Consistency for Unpaired Low-Dose CT Denoising using Boosted Contrastive Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://www.aapm.org/grandchallenge/lowdosect/ Yes -922 MICCAI Intraoperative CT augmentation for needle-based liver interventions | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Sidaty1/Intraoperative_CT_augmentation Yes -923 MICCAI Intra-operative Forecasting of Standing Spine Shape with Articulated Neural Kernel Fields | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -924 MICCAI Inverse Consistency by Construction for Multistep Deep Registration | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/uncbiag/ByConstructionICON Yes -925 MICCAI InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/BioMedAI-UCSC/InverseSR Yes -926 MICCAI Ischemic stroke segmentation from a cross-domain representation in multimodal diffusion studies | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://gitlab.com/bivl2ab/research/2023-cross-domain-stroke-segmentation Yes -927 MICCAI Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Dootmaan/ICMIL Yes -928 MICCAI JCCS-PFGM: A Novel Circle-Supervision based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -929 MICCAI Joint Dense-Point Representation for Contour-Aware Graph Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/kitbransby/Joint_Graph_Segmentation Yes -930 MICCAI Joint optimization of a β-VAE for ECG task-specific feature extraction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ViktorvdValk/Task-Specific-VAE Yes -931 MICCAI Joint prediction of response to therapy, molecular traits, and spatial organisation in colorectal cancer biopsies | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -932 MICCAI Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -933 MICCAI Joint Segmentation and Sub-Pixel Localization in Structured Light Laryngoscopy | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Henningson/SSSLsquared Yes -934 MICCAI Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ChenXiaoFei-CS/KoBo Yes -935 MICCAI L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -936 MICCAI Label-Free Nuclei Segmentation Using Intra-Image Self Similarity | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://monuseg.grand-challenge.org/Data/ Yes -937 MICCAI Label-preserving Data Augmentation in Latent Space for Diabetic Retinopathy Recognition | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/AIEyeSystem/LpDA Yes -938 MICCAI LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/egeozsoy/LABRAD-OR Yes -939 MICCAI Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/mindflow-institue/Laplacian-Former Yes -940 MICCAI Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -941 MICCAI Learnable Query Initialization for Surgical Instrument Instance Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/AINeurosurgery/Learnable-QPD-for-maskDINO Yes -942 MICCAI Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/haijunkenan/LSGNN Yes -943 MICCAI Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/chrisdcs/LAMA-Learned-Alternating-Minimization-Algorithm Yes -944 MICCAI Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/seuzjj/ACIFBN Yes -945 MICCAI Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/xmed-lab/DIF-Net Yes -946 MICCAI Learning Expected Appearances for Intraoperative Registration during Neurosurgery | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/rouge1616/ExApp/ Yes -947 MICCAI Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -948 MICCAI Learning normal asymmetry representations for homologous brain structures | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -949 MICCAI Learning Ontology-based Hierarchical Structural Relationship for Whole Brain Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/CRazorback/OHSR Yes -950 MICCAI Learning Reliability of Multi-Modality Medical Images for Tumor Segmentation via Evidence-Identified Denoising Diffusion Probabilistic Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -951 MICCAI Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://www.nature.com/articles/sdata2018161 Yes -952 MICCAI Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/nileshkumar0726/Learning_Transformations Yes -953 MICCAI Learning with Domain-Knowledge for Generalizable Prediction of Alzheimer’s Disease from Multi-Site Structural MRI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Yanjie-Z/DomainKnowledge4AD Yes -954 MICCAI Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/xyang258/livdetSDG Yes -955 MICCAI Lesion-aware Contrastive Learning for Diabetic Retinopathy Diagnosis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/IntelliDAL/Image Yes -956 MICCAI LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://doi.org/10.7303/syn26707219 Yes -957 MICCAI Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -958 MICCAI LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/longbai1006/LLCaps Yes -959 MICCAI Localized Questions in Medical Visual Question Answering | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/sergiotasconmorales/locvqa Yes -960 MICCAI Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -961 MICCAI Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MASILab/lmsignatures Yes -962 MICCAI LOTUS: Learning to Optimize Task-based US representations | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/danivelikova/lotus Yes -963 MICCAI Low-dose CT image super-resolution network with dual-guidance feature distillation and dual-path content communication | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/neu-szy/dual-guidance_LDCT_SR Yes -964 MICCAI LSOR: Longitudinally-Consistent Self-Organized Representation Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ouyangjiahong/longitudinal-som-single-modality Yes -965 MICCAI LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ctom2/lucyd-deconvolution/ Yes -966 MICCAI M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -967 MICCAI M3D-NCA: Robust 3D Segmentation with Built-in Quality Control | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 github.com/MECLabTUDA/M3D-NCA Yes -968 MICCAI Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Information-Fusion-Lab-Umass/CUSSP_UKB_MR Yes -969 MICCAI Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://rire.insight-journal.org/index.html Yes -970 MICCAI Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -971 MICCAI Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/matt-baugh/many-tasks-make-light-work Yes -972 MICCAI Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MoriLabNU/MFC Yes -973 MICCAI Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/pengfeiliHEU/MUMC Yes -974 MICCAI Maximum Entropy on Erroneous Predictions: Improving model calibration for medical image segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/agosl/Maximum-Entropy-on-Erroneous-Predictions/ Yes -975 MICCAI Maximum-entropy estimation of joint relaxation-diffusion distribution using multi-TE diffusion MRI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/LipengNing/ME-RDD Yes -976 MICCAI MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/SMU-MedicalVision/MDA-SR Yes -977 MICCAI MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/siyi-wind/MDViT Yes -978 MICCAI MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -979 MICCAI Medical Boundary Diffusion Model for Skin Lesion Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/jcwang123/MBDiff Yes -980 MICCAI Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -981 MICCAI MedIM: Boost Medical Image Representation via Radiology Report-guided Masking | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -982 MICCAI MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MIC-DKFZ/MedNeXt Yes -983 MICCAI Memory Replay for Continual Medical Image Segmentation through Atypical Sample Selection | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -984 MICCAI MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/hongwang01/MEPNet Yes -985 MICCAI Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MungoMeng/Survival-XSurv Yes -986 MICCAI Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/iyerkrithika21/mesh2SSM_2023/tree/main Yes -987 MICCAI MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Schuture/MetaLR Yes -988 MICCAI M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/cheliu-computation/m-flag-miccai2023 Yes -989 MICCAI M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MaloADBA/MGenSeg_2D Yes -990 MICCAI Microstructure Fingerprinting for Heterogeneously Oriented Tissue Microenvironments | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -991 MICCAI Minimal-supervised Medical Image Segmentation via Vector Quantization Memory | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -992 MICCAI Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/HaojunYu1998/UltraDet Yes -993 MICCAI MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/yuan-12138/MI-SegNet Yes -994 MICCAI Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -995 MICCAI Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/naivete5656/MDPAFOF Yes -996 MICCAI Mitral Regurgitation Quantification from Multi-channel Ultrasound Images via Deep Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -997 MICCAI Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -998 MICCAI MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://gitlab.com/mgadermayr/mixupmil Yes -999 MICCAI MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/vito1820/MoCoSR Yes -1000 MICCAI Modeling Alzheimers’ Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/IntelliDAL/Graph/tree/main/SMP-Net Yes -1001 MICCAI ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ZAX130/SmileCode Yes -1002 MICCAI Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1003 MICCAI ModusGraph: Automated 3D and 4D Mesh Model Reconstruction from cine CMR with Improved Accuracy and Efficiency | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MalikTeng/ModusGraph Yes -1004 MICCAI Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/xmed-lab/MSSG Yes -1005 MICCAI Motion Compensated Unsupervised Deep Learning for 5D MRI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/joseph-kettelkamp/5D_MRI Yes -1006 MICCAI MPBD-LSTM: A Predictive Model For Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/XueyangLiOSU/MPBD-LSTM Yes -1007 MICCAI MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/uncbiag/MRIS Yes -1008 MICCAI MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1009 MICCAI MulHiST: Multiple Histological Staining for Thick Biological Samples via Unsupervised Image-to-Image Translation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/TABLAB-HKUST/MulHiST Yes -1010 MICCAI Multi-Head Multi-Loss Model Calibration | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/agaldran/mhml_calibration Yes -1011 MICCAI Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1012 MICCAI Multimodal brain age estimation using interpretable adaptive population-graph learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/bintsi/adaptive-graph-learning Yes -1013 MICCAI Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://doi.org/10.5281/zenodo.7442914 Yes -1014 MICCAI Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/nasyxx/MDF-HS Yes -1015 MICCAI Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1016 MICCAI Multi-Modal Semi-supervised Evidential Recycle Framework for Alzheimer’s Disease Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1017 MICCAI Multi-modal Variational Autoencoders for normative modelling across multiple imaging modalities | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/alawryaguila/multimodal-normative-models Yes -1018 MICCAI Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/qgking/MM-CL.git Yes -1019 MICCAI Multi-objective point cloud autoencoders for explainable myocardial infarction prediction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1020 MICCAI Multi-perspective Adaptive Iteration Network for Metal Artifact Reduction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1021 MICCAI Multiple Prompt Fusion for Zero-Shot Lesion Detection Using Vision-Language Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1022 MICCAI Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MediaBrain-SJTU/ECGAD Yes -1023 MICCAI Multi-Scale Prototypical Transformer for Whole Slide Image Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 TCGA https://portal.gdc.cancer.gov Yes -1024 MICCAI Multi-Scale Self-Supervised Learning for Longitudinal Lesion Tracking with Optional Supervision | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1025 MICCAI Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image based Cancer Survival Prediction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Baeksweety/superpixel_transformer Yes -1026 MICCAI Multi-shot Prototype Contrastive Learning and Semantic Reasoning for Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/H51705/FSS_MPSNet Yes -1027 MICCAI MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MIC-DKFZ/MultiTalent Yes -1028 MICCAI Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MurasakiLin/prompt-DA Yes -1029 MICCAI Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1030 MICCAI Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://portal.gdc.cancer.gov/ Yes -1031 MICCAI Multi-view Guidance for Self-supervised Monocular Depth Estimation on Laparoscopic Images via Spatio-temporal Correspondence | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MoriLabNU/MGMDepthL Yes -1032 MICCAI Multi-View Vertebra Localization and Identification from CT Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ShanghaiTech-IMPACT/Multi-View-Vertebra-Localization-and-Identification-from-CT-Images Yes -1033 MICCAI MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1034 MICCAI NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/4m4n5/NASDM Yes -1035 MICCAI Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Loping151/LerPlane Yes -1036 MICCAI Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Novestars/Neural_Pre_Processing Yes -1037 MICCAI NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ladderlab-xjtu/NeuroExplainer Yes -1038 MICCAI NISF: Neural Implicit Segmentation Functions | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/NILOIDE/Implicit_segmentation Yes -1039 MICCAI Noise Conditioned Weight Modulation for Robust and Generalizable Low Dose CT Denoising | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1040 MICCAI Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1041 MICCAI Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MungoMeng/Registration-NICE-Trans Yes -1042 MICCAI Nonuniformly Spaced Control Points based on Variational Cardiac Image Registration | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1043 MICCAI On the Relevance of Temporal Features for Medical Ultrasound Video Recognition | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MedAI-Clemson/pda_detection Yes -1044 MICCAI One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/myeongkyunkang/FedISCA Yes -1045 MICCAI One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/hsiangyuzhao/TBIOneShot Yes -1046 MICCAI OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1047 MICCAI Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/tjvsonsbeek/open-ended-medical-vqa Yes -1048 MICCAI Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1049 MICCAI Optical Ultrasound Imaging for Endovascular Repair of Abdominal Aortic Aneurysms: A Pilot Study | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1050 MICCAI Optimizing the 3D Plate Shape for Proximal Humerus Fractures | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://humerusplate.is.tue.mpg.de/ Yes -1051 MICCAI Overall Survival Time Prediction of Glioblastoma on Preoperative MRI Using Lesion Network Mapping | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1052 MICCAI Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1053 MICCAI Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ZhangZ7112/PVA-CAS Yes -1054 MICCAI Partially Supervised Multi-Organ Segmentation via Affinity-aware Consistency Learning and Cross Site Feature Alignment | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1055 MICCAI PAS-Net: Rapid Prediction of Antibiotic Susceptibility from Fluorescence Images of Bacterial Cells Using Parallel Dual-branch Network | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1056 MICCAI Path-based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1057 MICCAI Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Cassie07/PathOmics Yes -1058 MICCAI Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image Analysis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1059 MICCAI PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/eyalhana/PCMC-T1 Yes -1060 MICCAI Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/benjamindkilleen/pelphix Yes -1061 MICCAI Pelvic Fracture Reduction Planning Based on Morphable Models and Structural Constraints | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1062 MICCAI Pelvic Fracture Segmentation Using a Multi-scale Distance-weighted Neural Network | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/YzzLiu/FracSegNet Yes -1063 MICCAI Performance Metrics for Probabilistic Ordinal Classifiers | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 github.com/agaldran/prob_ord_metrics Yes -1064 MICCAI Personalized Patch-based Normality Assessment of Brain Atrophy in Alzheimer’s Disease | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://adni.loni.usc.edu/ Yes -1065 MICCAI PET Image Denoising with Score-Based Diffusion Probabilistic Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1066 MICCAI PET-diffusion: Unsupervised PET Enhancement based on the Latent Diffusion Model | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1067 MICCAI Physics-based Decoding Improves Magnetic Resonance Fingerprinting | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/rmrisforbidden/CauMedical.git Yes -1068 MICCAI Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://git5.cs.fau.de/rajput/picae Yes -1069 MICCAI Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance Elastography | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/batmanlab/MRE-PINN Yes -1070 MICCAI Pick and Trace: Instance Segmentation for Filamentous Objects with a Recurrent Neural Network | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/VimsLab/DRIFT Yes -1071 MICCAI Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/EndoluminalSurgicalVision-IMR/CCFV Yes -1072 MICCAI PIViT: Large Deformation Image Registration with Pyramid-Iterative Vision Transformer | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Torbjorn1997/PIViT Yes -1073 MICCAI PLD-AL: Pseudo-Label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/CrystalWei626/PLD_AL Yes -1074 MICCAI PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/WeixiongLin/PMC-CLIP Yes -1075 MICCAI Point Cloud Diffusion Models for Automatic Implant Generation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/pfriedri/pcdiff-implant Yes -1076 MICCAI Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1077 MICCAI Polar-Net: A Clinical-Friendly Model for Alzheimer’s Disease Detection in OCTA Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/iMED-Lab/Polar-Net-Pytorch.git Yes -1078 MICCAI Position-aware masked autoencoder for histopathology WSI representation learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/WkEEn/PAMA Yes -1079 MICCAI Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1080 MICCAI POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://batfacewayne.github.io/POV_Surgery_io/ Yes -1081 MICCAI Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-Contexts Discriminator GAN | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1082 MICCAI Prediction of Cognitive Scores by Joint Use of Movie-watching fMRI Connectivity and Eye Tracking via Attention-CensNet | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1083 MICCAI Prediction of Infant Cognitive Development with Cortical Surface-based Multimodal Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1084 MICCAI Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1085 MICCAI Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/bowang-lab/DPM-MedImgEnhance Yes -1086 MICCAI Prior-driven Dynamic Brain Networks for Multi-Modal Emotion Recognition | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 http://www.eecs.qmul.ac.uk/mmv/datasets/deap/ Yes -1087 MICCAI Privacy-preserving Early Detection of Epileptic Seizures in Videos | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/DevD1092/seizure-detection Yes -1088 MICCAI Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Seasonsling/PETNet Yes -1089 MICCAI Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/caijd2000/MICCAI2023-VVC-Screening Yes -1090 MICCAI Progressively Coupling Network for Brain MRI Registration in Few-shot Situation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1091 MICCAI Prompt-based Grouping Transformer for Nucleus Detection and Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1092 MICCAI Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/cvlab-stonybrook/PromptMIL Yes -1093 MICCAI PROnet: Point Refinement using Shape-guided Offset Map for Nuclei Instance Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://monusac-2020.grand-challenge.org/ Yes -1094 MICCAI ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/hooman007/ProtoASNet Yes -1095 MICCAI Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ladderlab-xjtu/DeepPWML Yes -1096 MICCAI QCResUNet: Joint Subject-level and Voxel-level Prediction of Segmentation Quality | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/peijie-chiu/QC-ResUNet Yes -1097 MICCAI Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/xmed-lab/RIDL Yes -1098 MICCAI Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reporting | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ChantalMP/Rad-ReStruct Yes -1099 MICCAI RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/iMED-Lab/RBGnet-Pytorch.git Yes -1100 MICCAI RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/mkang315/RCS-YOLO Yes -1101 MICCAI Realistic endoscopic illumination modeling for NeRF-based data generation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/surgical-vision/REIM-NeRF Yes -1102 MICCAI Reconstructing the Hemodynamic Response Function via a Bimodal Transformer | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1103 MICCAI Recruiting the best teacher modality: A customized knowledge distillation method for IF based nephropathy diagnosis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1104 MICCAI Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/BeileiCui/MS-TFAL Yes -1105 MICCAI Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/IBM/DOT Yes -1106 MICCAI Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in Transoesophageal Echocardiography | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/wzjialang/SR-AQA Yes -1107 MICCAI Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ThijsKuipers1995/gconv Yes -1108 MICCAI Regularized Kelvinlet Functions to Model Linear Elasticity for Image-to-Physical Registration of the Breast | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1109 MICCAI Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/dryewu/RDSI Yes -1110 MICCAI Reliable Multimodality Eye Disease Screening via Mixture of Student’s t Distributions | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Cocofeat/EyeMoSt Yes -1111 MICCAI Representation, Alignment, Fusion: A Generic Transformer-based Framework for Multi-modal Glaucoma Recognition | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/YouZhouRUC/MM-RAF Yes -1112 MICCAI RESToring Clarity: Unpaired Retina Image Enhancement using Scattering Transform | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1113 MICCAI Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/PramitSaha/IsoFed-MICCAI-2023 Yes -1114 MICCAI Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1115 MICCAI Retinal Thickness Prediction from Multi-modal Fundus Photography | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1116 MICCAI Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/maxdreyer/Reveal2Revise Yes -1117 MICCAI Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/YongshengPan/ASEG-for-PET2CT Yes -1118 MICCAI Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ci-ber/PHANES Yes -1119 MICCAI Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/longbai1006/CS-VQLA Yes -1120 MICCAI Revisiting Feature Propagation and Aggregation in Polyp Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1121 MICCAI Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/FarihaHossain/SwinFSR Yes -1122 MICCAI Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ss-sun/right-for-the-wrong-reason Yes -1123 MICCAI Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MELDProject/meld_graph Yes -1124 MICCAI Robust Cervical Abnormal Cell Detection via Distillation from Local-scale Consistency Refinement | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/feimanman/Cervical-Abnormal-Cell-Detection Yes -1125 MICCAI Robust estimation of the microstructure of the early developing brain using deep learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Medical-Image-Analysis-Laboratory/Perinatal_fODF_DL_estimation Yes -1126 MICCAI Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1127 MICCAI Robust Hough and Spatial-To-Angular Transform Based Rotation Estimation for Orthopedic X-Ray Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1128 MICCAI Robust Segmentation via Topology Violation Detection and Feature Synthesis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/smilell/Topology-aware-Segmentation-using-Euler-Characteristic Yes -1129 MICCAI Robust T-Loss for Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://robust-tloss.github.io/ Yes -1130 MICCAI Robust vertebra identification using simultaneous node and edge predicting Graph Neural Networks | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ImFusionGmbH/VID-vertebra-identification-dataset Yes -1131 MICCAI S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/lofrienger/S2ME Yes -1132 MICCAI S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/alexanderbaumann99/S3M Yes -1133 MICCAI SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1134 MICCAI SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1135 MICCAI Scale Federated Learning for Label Set Mismatch in Medical Image Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/dzp2095/FedLSM Yes -1136 MICCAI Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/SplinterLi/SaTTCA Yes -1137 MICCAI Scaling Up 3D Kernels with Bayesian Frequency Re-Parameterization for Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MASILab/RepUX-Net Yes -1138 MICCAI SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/AfsahS/Supervised-Contrastive-Ordinal-Loss-for-Ordinal-Regression Yes -1139 MICCAI Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1140 MICCAI Second-course Esophageal Gross Tumor Volume Segmentation in CT with Prior Anatomical and Radiotherapy Information | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://competitions.codalab.org/competitions/21145 Yes -1141 MICCAI SEDSkill: Surgical Events Driven Method for Skill Assessment from Thoracoscopic Surgical Videos | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/xmed-lab/SEDSkill Yes -1142 MICCAI Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-level Supervision | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Lion-shine/Segment-Membranes-and-Nuclei-from-Histopathological-Images-via-Nuclei-Point-level-Supervision Yes -1143 MICCAI Segmentation Distortion: Quantifying Segmentation Uncertainty under Domain Shift via the Effects of Anomalous Activations | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MedVisBonn/Segmentation-Distortion/ Yes -1144 MICCAI Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/neheller/kits19/blob/master/LICENSE Yes -1145 MICCAI SegmentOR: Obtaining Efficient Operating Room Semantics Through Temporal Propagation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/bastianlb/segmentOR Yes -1146 MICCAI SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1147 MICCAI Self- and Semi-Supervised Learning for Gastroscopic Lesion Detection | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1148 MICCAI Self-adaptive Adversarial Training for Robust Medical Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/TrustAI/SEAT Yes -1149 MICCAI Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Medsemiseg/SCP-Net Yes -1150 MICCAI Self-distillation for surgical action recognition | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/CAMMA-public/cholect45 Yes -1151 MICCAI Self-feedback Transformer: A Multi-label Diagnostic Model for Real-world Pancreatic Neuroendocrine Neoplasms Data | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1152 MICCAI Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/chinmay5/ms_progression Yes -1153 MICCAI Self-supervised dense representation learning for live-cell microscopy with time arrow prediction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/weigertlab/tarrow Yes -1154 MICCAI Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1155 MICCAI Self-Supervised Learning for Endoscopic Video Analysis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/RoyHirsch/endossl Yes -1156 MICCAI Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/FrancescaDB/self_supervised_PBPK_modelling Yes -1157 MICCAI Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/j-morano/multimodal-ssl-fpn Yes -1158 MICCAI Self-Supervised MRI Reconstruction with Unrolled Diffusion Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/yilmazkorkmaz1/ssdiffrecon Yes -1159 MICCAI Self-Supervised Polyp Re-Identification in Colonoscopy | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1160 MICCAI Self-supervised Sim-to-Real Kinematics Reconstruction for Video-based Assessment of Intraoperative Suturing Skills | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1161 MICCAI Semantic difference guidance for the uncertain boundary segmentation of CT left atrial appendage | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/AlexYouXin/LA-LAA-segmentation Yes -1162 MICCAI Semantic segmentation of surgical hyperspectral images under geometric domain shifts | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/IMSY-DKFZ/htc Yes -1163 MICCAI Semantic Virtual Shadows (SVS) for Improved Perception in 4D OCT Guided Surgery | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1164 MICCAI Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/IsYuchenYuan/SSCI Yes -1165 MICCAI Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/hritam-98/GFDA-disentangled Yes -1166 MICCAI Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1167 MICCAI SENDD: Sparse Efficient Neural Depth and Deformation for Tissue Tracking | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1168 MICCAI SFusion: Self-attention based N-to-One Multimodal Fusion Block | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/scut-cszcl/SFusion Yes -1169 MICCAI Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/dengchihwei/LCNetVesselSeg Yes -1170 MICCAI Shape-based pose estimation for automatic standard views of the knee | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1171 MICCAI Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/jhl-Det/FLA-Net Yes -1172 MICCAI SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/xiely-123/SHISRCNet Yes -1173 MICCAI SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Abner228/SmileCode Yes -1174 MICCAI Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1175 MICCAI Simulation-based parameter optimization for fetal brain MRI super-resolution reconstruction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://zenodo.org/record/8123677 Yes -1176 MICCAI Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/jqmcginnis/multi_contrast_inr/ Yes -1177 MICCAI Skin Lesion Correspondence Localization in Total Body Photography | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/weilunhuang-jhu/LesionCorrespondenceTBP3D Yes -1178 MICCAI SLPD: Slide-level Prototypical Distillation for WSIs | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Carboxy/SLPD Yes -1179 MICCAI SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1180 MICCAI Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/YunanWu2168/SA-MIL Yes -1181 MICCAI SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 mridata.org Yes -1182 MICCAI Soft-tissue Driven Craniomaxillofacial Surgical Planning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1183 MICCAI Solving Low-Dose CT Reconstruction via GAN with Local Coherence | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/lwjie595/GANLC Yes -1184 MICCAI Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/CSCYQJ/MICCAI23-ProtoContra-SFDA Yes -1185 MICCAI Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/lloongx/SFDA-CBMT Yes -1186 MICCAI Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1187 MICCAI Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1188 MICCAI Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/RPIDIAL/SAMix Yes -1189 MICCAI Speech Audio Synthesis from Tagged MRI and Non-Negative Matrix Factorization via Plastic Transformer | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1190 MICCAI Spinal nerve segmentation method and dataset construction in endoscopic surgical scenarios | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/zzzzzzpc/FUnet Yes -1191 MICCAI SPR-Net: Structural Points based Registration for Coronary Arteries across Systolic and Diastolic Phases | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1192 MICCAI StainDiff: Transfer Stain Styles of Histology Images with Denoising Diffusion Probabilistic Models and Self-Ensemble | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1193 MICCAI STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients using Spatiotemporal Analysis and Transformer-Based Radiomics Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/rohand24/STAR_Echo Yes -1194 MICCAI Structured State Space Models for Multiple Instance Learning in Digital Pathology | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MICS-Lab/s4_digital_pathology Yes -1195 MICCAI Structure-decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1196 MICCAI StructuRegNet: Structure-guided Multimodal 2D-3D Registration | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1197 MICCAI Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1198 MICCAI Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/HieuPhan33/MaskGAN Yes -1199 MICCAI Style-based Manifold for Weakly-supervised Disease Characteristic Discovery | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/SiyuLiu0329/DiDiGAN-final Yes -1200 MICCAI SurfFlow: A Flow-Based Approach for Rapid and Accurate Cortical Surface Reconstruction from Infant Brain MRI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1201 MICCAI Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/CAMMA-public/mcit-ig Yes -1202 MICCAI Surgical Activity Triplet Recognition via Triplet Disentanglement | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1203 MICCAI Surgical Video Captioning with Mutual-Modal Concept Alignment | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/franciszchen/SCA-Net Yes -1204 MICCAI SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/lalithjets/SurgicalGPT Yes -1205 MICCAI SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/UCSC-VLAA/SwinMM/ Yes -1206 MICCAI SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Project-MONAI/MONAI/blob/dev/monai/networks/nets/swin_unetr.py Yes -1207 MICCAI SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/charzharr/miccai23-swipe-implicit-segmentation/blob/master/README.md Yes -1208 MICCAI Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Netherlands-Cancer-Institute/CE-MRI Yes -1209 MICCAI Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/MECLabTUDA/CataSynth Yes -1210 MICCAI Synthetic Augmentation with Large-scale Unconditional Pre-training | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/karenyyy/HistoDiffAug Yes -1211 MICCAI TabAttention: Learning Attention Conditionally on Tabular Data | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/SanoScience/Tab-Attention Yes -1212 MICCAI TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1213 MICCAI TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1214 MICCAI TCL: Triplet Consistent Learning for Odometry Estimation of Monocular Endoscope | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/EndoluminalSurgicalVision-IMR/TCL Yes -1215 MICCAI Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/dyalcink/dQC Yes -1216 MICCAI Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/prasunc/PAWP Yes -1217 MICCAI Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://www.kaggle.com/datasets/aysendegerli/qatacov19-dataset Yes -1218 MICCAI Text-guided Foundation Model Adaptation for Pathological Image Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Yunkun-Zhang/CITE Yes -1219 MICCAI The Role of Subgroup Separability in Group-Fair Medical Image Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/biomedia-mira/subgroup-separability Yes -1220 MICCAI Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1221 MICCAI Thyroid Nodule Diagnosis in Dynamic Contrast-enhanced Ultrasound via Microvessel Infiltration Awareness | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1222 MICCAI Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/M3DV/pulmonary-tree-repairing Yes -1223 MICCAI Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/zutsusemi/MICCAI2023-TopoLab-Labels/ Yes -1224 MICCAI Topology-Preserving Computed Tomography Super-resolution Based on Dual-stream Diffusion Model | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Arturia-Pendragon-Iris/UHRCT_SR Yes -1225 MICCAI Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/chiuhaohao/Fair-Multi-Exit-Framework/tree/master Yes -1226 MICCAI Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1227 MICCAI Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Kaz-K/medical-image-editing Yes -1228 MICCAI Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/lemoshu/PLIL Yes -1229 MICCAI Towards frugal unsupervised detection of subtle abnormalities in medical imaging | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/geoffroyO/onlineEM Yes -1230 MICCAI Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/chehx/DGDR Yes -1231 MICCAI Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1232 MICCAI Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1233 MICCAI TPRO: Text-prompting-based Weakly Supervised Histopathology Tissue Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/zhangst431/TPRO Yes -1234 MICCAI Trackerless Volume Reconstruction from Intraoperative Ultrasound Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Sidaty1/IVUS_Trakerless_Volume_Reconstruction Yes -1235 MICCAI Tracking adaptation to improve SuperPoint for 3D reconstruction in endoscopy | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/LeonBP/SuperPointTrackingAdaptation Yes -1236 MICCAI TractCloud: Registration-free Tractography Parcellation with a Novel Local-global Streamline Point Cloud Representation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://tractcloud.github.io/ Yes -1237 MICCAI Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1238 MICCAI Transferability-Guided Multi-Source Model Adaptation for Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/CityU-AIM-Group/TGMA Yes -1239 MICCAI Transformer-based Annotation Bias-aware Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Merrical/TAB Yes -1240 MICCAI Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1241 MICCAI Transformer-based end-to-end classification of variable-length volumetric data | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/marziehoghbaie/VLFAT Yes -1242 MICCAI Transformer-based tooth segmentation, identification and pulp calcification recognition in CBCT | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1243 MICCAI TransLiver: A Hybrid Transformer Model for Multi-phase Liver Lesion Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/sherrydoge/TransLiver Yes -1244 MICCAI TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/zhenqi-he/transnuseg Yes -1245 MICCAI Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Chen-Ziyang/TriD Yes -1246 MICCAI Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1247 MICCAI Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/sarayar/TriAnGIL Yes -1248 MICCAI TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/gluucose/TriDoFormer Yes -1249 MICCAI Trust your neighbours: Penalty-based constraints for model calibration | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Bala93/MarginLoss Yes -1250 MICCAI TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/huiminxiong/TSegFormer Yes -1251 MICCAI Twelve-Lead ECG Reconstruction from Single-Lead Signals Using Generative Adversarial Networks | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/knu-plml/ecg-recon Yes -1252 MICCAI Ultrasonic tracking of a rapid-exchange microcatheter with simultaneous pressure sensing for cardiovascular interventions | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1253 MICCAI UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1254 MICCAI Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ThisGame42/CTTA Yes -1255 MICCAI Uncertainty Inspired Autism Spectrum Disorder Screening | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://saliency4asd.ls2n.fr/datasets/ Yes -1256 MICCAI Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/KarryRen/UML Yes -1257 MICCAI Uncovering Heterogeneity in Alzheimer’s Disease from Graphical Modeling of the Tau Spatiotemporal Topography | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1258 MICCAI Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1259 MICCAI Understanding Silent Failures in Medical Image Classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/IML-DKFZ/sf-visuals Yes -1260 MICCAI Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ReubenDo/MHVAE Yes -1261 MICCAI Unified surface and volumetric inference on functional imaging data | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/tomfrankkirk/svb_evaluation Yes -1262 MICCAI UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/yeerwen/UniSeg Yes -1263 MICCAI Unpaired Cross-modal Interaction Learning for COVID-19 Segmentation on Limited CT images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/GQBBBB/UCI Yes -1264 MICCAI Unsupervised 3D out-of-distribution detection with latent diffusion models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/marksgraham/ddpm-ood Yes -1265 MICCAI Unsupervised 3D registration through optimization-guided cyclical self-training | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/multimodallearning/reg-cyclical-self-train Yes -1266 MICCAI Unsupervised classification of congenital inner ear malformations using DeepDiffusion for latent space representation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/paulalopez10/Deep-Diffusion-Unsupervised-Classification-3D-Mesh Yes -1267 MICCAI Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/uncbiag/diffusion-3D-discovery Yes -1268 MICCAI Unsupervised Domain Adaptation for Anatomical Landmark Detection | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/jhb86253817/UDA_Med_Landmark Yes -1269 MICCAI Unsupervised Domain Transfer with Conditional Invertible Neural Networks | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/IMSY-DKFZ/UDT-cINN Yes -1270 MICCAI Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://www.nature.com/articles/srep08601 Yes -1271 MICCAI UOD: Universal One-shot Detection of Anatomical Landmarks | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/heqin-zhu/UOD_universal_oneshot_detection Yes -1272 MICCAI UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/VivienLu/UPCoL Yes -1273 MICCAI Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/CelestialShine/Longitudinal-Chest-X-Ray Yes -1274 MICCAI UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GAN | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Tinysqua/UWAT-GAN Yes -1275 MICCAI UXDiff: Synthesis of X-ray Image from Ultrasound Coronal Image of Spine with Diffusion Probabilistic Network | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1276 MICCAI Vertex Correspondence in Cortical Surface Reconstruction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ai-med/V2CC Yes -1277 MICCAI VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/LIA-DiTella/VesselVAE Yes -1278 MICCAI VF-HM: Vision Loss Estimation using Fundus Photograph for High Myopia | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/yanzipei/VF-HM Yes -1279 MICCAI Virtual Heart models help elucidate the role of border zone in sustained monomorphic Ventricular Tachycardia | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1280 MICCAI VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/sharif-ml-lab/visa-fss Yes -1281 MICCAI Vision Transformer based Multi-Class Lesion Detection in IVOCT | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Shao1Fan/G-Swin-Transformer Yes -1282 MICCAI Visual Grounding of Whole Radiology Reports for 3D CT Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1283 MICCAI Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1284 MICCAI vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/mishgon/vox2vec Yes -1285 MICCAI Wall thickness estimation from short axis ultrasound images via temporal compatible deformation learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1286 MICCAI WarpEM: Dynamic Time Warping for Accurate Catheter Registration in EM-guided Procedures | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1287 MICCAI Wasserstein Distance-Preserving Vector Space of Persistent Homology | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/topolearn Yes -1288 MICCAI Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1289 MICCAI Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1290 MICCAI Weakly Supervised Medical Image Segmentation via Superpixel-guided Scribble Walking and Class-wise Contrastive Regularization | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Lemonzhoumeng/SC-Net Yes -1291 MICCAI Weakly-supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/rohban-lab/Drug-Efficiency-Estimation-with-Confidence-Score Yes -1292 MICCAI Weakly-supervised positional contrastive learning: application to cirrhosis classification | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Guerbet-AI/wsp-contrastive Yes -1293 MICCAI WeakPolyp: You Only Look Bounding Box for Polyp Segmentation | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/weijun88/WeakPolyp Yes -1294 MICCAI What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ci-ber/MorphAEus Yes -1295 MICCAI Whole-Heart Reconstruction with Explicit Topology Integrated Learning | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1296 MICCAI X2Vision : 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1297 MICCAI Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ChantalMP/Xplainer Yes -1298 MICCAI X-Ray to CT Rigid Registration Using Scene Coordinate Regression | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/Pragyanstha/SCR-Registration Yes -1299 MICCAI YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/GewelsJI/VPS/tree/main#3-vps-dataset Yes -1300 MICCAI You Don’t Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/ayanglab/MedSynAnalyzer Yes -1301 MICCAI You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 Yes -1302 MICCAI Zero-shot Nuclei Detection via Visual-Language Pre-trained Models | MICCAI 2023 - Accepted Papers, Reviews, Author Feedback 2023.0 https://github.com/wuyongjianCODE/VLPMNuD Yes -1303 MIDL Size-constraint loss for weakly supervised CNN segmentation 2018.0 https://openreview.net/pdf?id=BkIBHb2sG https://github.com/LIVIAETS/SizeLoss_WSS Yes Yes Yes Yes Yes No -1304 MIDL Deep Multi-Class Segmentation Without Ground-Truth Labels 2018.0 https://openreview.net/pdf?id=S11Xr-3iM Yes -1305 MIDL Evaluating Reinforcement Learning Agents for Anatomical Landmark Detection 2018.0 https://openreview.net/pdf?id=SyQK4-nsz https://github.com/amiralansary/rl-medical No Yes Yes Yes Yes Yes Apache 2.0 -1306 MIDL Stacked Bidirectional Convolutional LSTMs for 3D Non-contrast CT Reconstruction from Spatiotemporal 4D CT 2018.0 https://openreview.net/pdf?id=SkHVVZniz Yes -1307 MIDL Robust training of recurrent neural networks to handle missing data for disease progression modeling 2018.0 https://openreview.net/pdf?id=S1jqMb2oM Yes -1308 MIDL Capsules for Object Segmentation 2018.0 https://openreview.net/pdf?id=B1L4Gb3sf Yes -1309 MIDL Temporal Interpolation via Motion Field Prediction 2018.0 https://openreview.net/pdf?id=HkgCl-3if No -1310 MIDL Iterative fully convolutional neural networks for automatic vertebra segmentation 2018.0 https://openreview.net/pdf?id=S1NnlZnjG Yes -1311 MIDL Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative 2018.0 https://openreview.net/pdf?id=SJ_-Nx3jz Yes -1312 MIDL Recurrent Inference Machines for Accelerated MRI Reconstruction 2018.0 https://openreview.net/pdf?id=rJD6Xgnoz No -1313 MIDL Weakly Supervised Learning for Whole Slide Lung Cancer Image Classification 2018.0 https://openreview.net/pdf?id=SJwod1hjz No -1314 MIDL Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Deep Neural Networks 2018.0 https://openreview.net/pdf?id=rJZz-knjz https://github.com/berenslab/ttaug-midl2018 Yes No Yes Yes No GPL 3.0 -1315 MIDL Convolutional neural networks for mesh-based parcellation of the cerebral cortex 2018.0 https://openreview.net/pdf?id=rkKvBAiiz Yes -1316 MIDL Cancer Metastasis Detection With Neural Conditional Random Field 2018.0 https://openreview.net/pdf?id=S1aY66iiM https://github.com/baidu-research/NCRF Yes Yes Yes Yes Yes Yes Apache 2.0 -1317 MIDL Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: application to epilepsy lesion screening 2018.0 https://openreview.net/pdf?id=rk5UYassf No -1318 MIDL Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy 2018.0 https://openreview.net/pdf?id=BktMD6isM Yes -1319 MIDL MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images 2018.0 https://openreview.net/pdf?id=rJgE13soM Yes -1320 MIDL Attention U-Net: Learning Where to Look for the Pancreas 2018.0 https://openreview.net/pdf?id=Skft7cijM https://github.com/ozan-oktay/Attention-Gated-Networks Yes Yes Yes Yes No No MIT -1321 MIDL 3D G-CNNs for Pulmonary Nodule Detection 2018.0 https://openreview.net/pdf?id=H1sdHFiif https://github.com/tscohen/GrouPy Yes No No No No Yes Custom -1322 MIDL OBELISK - One Kernel to Solve Nearly Everything: Unified 3D Binary Convolutions for Image Analysis 2018.0 https://openreview.net/pdf?id=BkZu9wooz https://github.com/mattiaspaul/OBELISK Yes No Yes Yes Yes Yes MIT -1323 MIDL Uncertainty quantification using Bayesian neural networks in classification: Application to ischemic stroke lesion segmentation 2018.0 https://openreview.net/pdf?id=Sk_P2Q9sG https://github.com/ykwon0407/UQ_BNN/tree/master/ischemic Yes No Yes No No Yes No -1324 MIDL Predictive Image Regression for Longitudinal Studies with Missing Data 2018.0 https://openreview.net/pdf?id=BJPMK-3jM No -1325 MIDL Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders 2018.0 https://openreview.net/pdf?id=H1nGLZ2oG Yes -1326 MIDL Brain MRI super-resolution using 3D generative adversarial networks 2018.0 https://openreview.net/pdf?id=rJevSbniM Yes -1327 MIDL Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs 2018.0 https://openreview.net/pdf?id=B1AxE-njf Yes -1328 MIDL Attention-Gated Networks for Improving Ultrasound Scan Plane Detection 2018.0 https://openreview.net/pdf?id=BJtn7-3sM https://github.com/ozan-oktay/Attention-Gated-Networks Yes Yes Yes Yes No No MIT -1329 MIDL Cascaded Transforming Multi-task Networks For Abdominal Biometric Estimation from Ultrasound 2018.0 https://openreview.net/pdf?id=r1ZGQW2if No -1330 MIDL Unsupervised deformable image registration with fully connected generative neural network 2018.0 https://openreview.net/pdf?id=HkmkmW2jM Yes -1331 MIDL Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation 2018.0 https://openreview.net/pdf?id=HyqPGbhsG No -1332 MIDL Retrospective correction of motion artifact affected structural MRI images using deep learning of simulated motion 2018.0 https://openreview.net/pdf?id=H1hWfZnjM Yes -1333 MIDL CNN-based Landmark Detection in Cardiac CTA Scans 2018.0 https://openreview.net/pdf?id=r1malb3jz No -1334 MIDL Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI 2018.0 https://openreview.net/pdf?id=B1V7k-2sz Yes -1335 MIDL DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images 2018.0 https://openreview.net/pdf?id=BkuVie2iM No -1336 MIDL One-class Gaussian process regressor for quality assessment of transperineal ultrasound images 2018.0 https://openreview.net/pdf?id=r1s0gx3iG No -1337 MIDL Automatic Detection and Characterization of Coronary Artery Plaque and Stenosis using a Recurrent Convolutional Neural Network in Coronary CT Angiography 2018.0 https://openreview.net/pdf?id=BJenxxhof No -1338 MIDL Histopathology Stain-Color Normalization Using Deep Generative Models 2018.0 https://openreview.net/pdf?id=SkjdxkhoG Yes -1339 MIDL NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines 2018.0 https://openreview.net/pdf?id=Hks1TRisM https://github.com/DLTK/models Yes Yes Yes Yes Yes Yes Apache 2.0 -1340 MIDL MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs 2018.0 https://openreview.net/pdf?id=r1Q98pjiG https://stanfordmlgroup.github.io/competitions/mura/ Yes Yes Custom -1341 MIDL Automatic multi-organ segmentation in dual energy CT using 3D fully convolutional network 2018.0 https://openreview.net/pdf?id=SJhfv3ijz No -1342 MIDL Convolutional Neural Networks for Lymphocyte detection in Immunohistochemically Stained Whole-Slide Images 2018.0 https://openreview.net/pdf?id=rk0xLisiM No -1343 MIDL Blood Vessel Geometry Synthesis using Generative Adversarial Networks 2018.0 https://openreview.net/pdf?id=SJ4N7isiG http://qia.isi.uu.nl/blood-vessel-geometry-synthesis-using-generative-adversarial-networks/ No No No No No No No -1344 MIDL Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy 2018.0 https://openreview.net/pdf?id=r1t-DYooM https://github.com/deepmedic/deepmedic No Yes Yes Yes No Yes BSD 3 -1345 MIDL Predicting Lesion Growth and Patient Survival in Colorectal Cancer Patients using Deep Neural Networks 2018.0 https://openreview.net/pdf?id=B1e_uuoif No -1346 MIDL Motion Estimation in Coronary CT Angiography Images using Convolutional Neural Networks 2018.0 https://openreview.net/pdf?id=HkBtaBjoz No -1347 MIDL Towards Deep Cellular Phenotyping in Placental Histology 2018.0 https://openreview.net/pdf?id=HJq5OGKsz No -1348 MIDL Automatic catheter detection in pediatric X-ray images using a scale-recurrent network and synthetic data 2018.0 https://openreview.net/pdf?id=By47mM_oG https://github.com/xinario/catheter_detection Yes Yes Yes Yes Yes Yes No -1349 MIDL RadBot-CXR: Classification of Four Clinical Finding Categories in Chest X-Ray Using Deep Learning 2018.0 https://openreview.net/pdf?id=B1tMhcIDM No -1350 MIDL Exploring Local Rotation Invariance in 3D CNNs With Steerable Filters. 2019.0 https://openreview.net/pdf?id=H1gXZLzxeE Yes -1351 MIDL SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation. 2019.0 https://openreview.net/pdf?id=H1gLLOgxeE Yes -1352 MIDL Learning Interpretable Multi-modal Features for Alignment With Supervised Iterative Descent. 2019.0 https://openreview.net/pdf?id=SkeI0-QelE https://github.com/multimodallearning/midl19_suits Yes No No No No No No -1353 MIDL 3D Multirater RCNN for Multimodal Multiclass Detection and Characterisation of Extremely Small Objects. 2019.0 https://openreview.net/pdf?id=BJlXpDh1gV No -1354 MIDL Exclusive Independent Probability Estimation Using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation. 2019.0 https://openreview.net/pdf?id=Byg-krBi14 Yes -1355 MIDL Boundary Loss for Highly Unbalanced Segmentation. 2019.0 https://openreview.net/pdf?id=S1gTA5VggE https://github.com/LIVIAETS/boundary-loss Yes Yes Yes Yes Yes MIT -1356 MIDL Learning With Multitask Adversaries Using Weakly Labelled Data for Semantic Segmentation in Retinal Images. 2019.0 https://openreview.net/pdf?id=HJe6f0BexN https://github.com/oindrilasaha/multitask-retinal-segmentation Yes No No Yes Yes Yes No -1357 MIDL Image Synthesis With a Convolutional Capsule Generative Adversarial Network. 2019.0 https://openreview.net/pdf?id=rJen0zC1lE https://github.com/CherBass/CapsPix2Pix Yes No Yes Yes Yes Yes MIT -1358 MIDL Learning Joint Lesion and Tissue Segmentation From Task-specific Hetero-modal Datasets. 2019.0 https://openreview.net/pdf?id=HJeZW_QxxN Yes -1359 MIDL Segmenting Potentially Cancerous Areas in Prostate Biopsies Using Semi-Automatically Annotated Data. 2019.0 https://openreview.net/pdf?id=SJxVA7xleE No -1360 MIDL Unsupervised Lesion Detection Via Image Restoration With a Normative Prior. 2019.0 https://openreview.net/pdf?id=S1xg4W-leV https://github.com/yousuhang/Unsupervised-Lesion-Detection-via-Image-Restoration-with-a-Normative-Prior Yes Yes Yes Yes No Yes MIT -1361 MIDL Dynamic Pacemaker Artifact Removal (DyPAR) From CT Data Using CNNs. 2019.0 https://openreview.net/pdf?id=rkx5InjA1N No -1362 MIDL Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization. 2019.0 https://openreview.net/pdf?id=H1gMYCQxg4 Yes -1363 MIDL Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology. 2019.0 https://openreview.net/pdf?id=BkxJkgSlx4 No -1364 MIDL A Hybrid, Dual Domain, Cascade of Convolutional Neural Networks for Magnetic Resonance Image Reconstruction. 2019.0 https://openreview.net/pdf?id=HJeJx4XxlN Yes -1365 MIDL Dynamic MRI Reconstruction With Motion-Guided Network. 2019.0 https://openreview.net/pdf?id=Bke-CJtel4 https://github.com/rmsouza01/CD-Deep-Cascade-MR-Reconstruction Yes No Yes Yes No No No -1366 MIDL Deep Hierarchical Multi-label Classification of Chest X-ray Images. 2019.0 https://openreview.net/pdf?id=SJgNCUbke4 Yes -1367 MIDL Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography. 2019.0 https://openreview.net/pdf?id=Hkx5C9QeeN No -1368 MIDL A Novel Segmentation Framework for Uveal Melanoma in Magnetic Resonance Imaging Based on Class Activation Maps. 2019.0 https://openreview.net/pdf?id=ByldG19Ry4 No -1369 MIDL AnatomyGen: Deep Anatomy Generation From Dense Representation With Applications in Mandible Synthesis. 2019.0 https://openreview.net/pdf?id=BkltUK71xV https://github.com/amir-abdi/LandmarksToShape Yes Yes Yes Yes No Yes GPL 3.0 -1370 MIDL Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images. 2019.0 https://openreview.net/pdf?id=H1x-pmF0JE No -1371 MIDL XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation. 2019.0 https://openreview.net/pdf?id=B1lpb10Ry4 https://www.dropbox.com/s/wue67fg9bk5xdxt/evaluationScript.zip No No No Yes No No No -1372 MIDL High-quality Segmentation of Low Quality Cardiac MR Images Using K-space Artefact Correction. 2019.0 https://openreview.net/pdf?id=BkgjbQ30yN Yes -1373 MIDL Capturing Single-Cell Phenotypic Variation Via Unsupervised Representation Learning. 2019.0 https://openreview.net/pdf?id=HyxX96_xeN Yes -1374 MIDL MRI K-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty. 2019.0 https://openreview.net/pdf?id=ryxqlJzge4 Yes -1375 MIDL Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation. 2019.0 https://openreview.net/pdf?id=ryxNhZGlxV Yes -1376 MIDL VOCA: Cell Nuclei Detection In Histopathology Images By Vector Oriented Confidence Accumulation. 2019.0 https://openreview.net/pdf?id=Byg6tbleeE Yes -1377 MIDL Learning Beamforming in Ultrasound Imaging. 2019.0 https://openreview.net/pdf?id=Skxq9YqJg4 No -1378 MIDL Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data. 2019.0 https://openreview.net/pdf?id=BJxTPziyeE https://github.com/smkia/DNM Yes No Yes No No No No -1379 MIDL Assessing Knee OA Severity With CNN Attention-based End-to-end Architectures. 2019.0 https://openreview.net/pdf?id=B1epyN8rlV https://github.com/marc-gorriz/KneeOA-CNNAttention Yes Yes Yes Yes No No No -1380 MIDL Cluster Analysis in Latent Space: Identifying Personalized Aortic Valve Prosthesis Shapes Using Deep Representations. 2019.0 https://openreview.net/pdf?id=BJesxFsA1N No -1381 MIDL On the Spatial and Temporal Influence for the Reconstruction of Magnetic Resonance Fingerprinting. 2019.0 https://openreview.net/pdf?id=HyeuSq9ke4 https://github.com/fabianbalsiger/mrf-reconstruction-midl2019 No Yes Yes Yes No Yes MIT -1382 MIDL Weakly Supervised Deep Nuclei Segmentation Using Points Annotation in Histopathology Images. 2019.0 https://openreview.net/pdf?id=H1xkWv8gx4 https://github.com/huiqu18/WeaklySegPointAnno Yes Yes Yes Yes No Yes No -1383 MIDL Sparse Structured Prediction for Semantic Edge Detection in Medical Images. 2019.0 https://openreview.net/pdf?id=SkxccsWxxE Yes -1384 MIDL CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data. 2019.0 https://openreview.net/pdf?id=BJl2cMBHlN Yes -1385 MIDL Joint Learning of Brain Lesion and Anatomy Segmentation From Heterogeneous Datasets. 2019.0 https://openreview.net/pdf?id=Syest0rxlN Yes -1386 MIDL Training Deep Networks on Domain Randomized Synthetic X-ray Data for Cardiac Interventions. 2019.0 https://openreview.net/pdf?id=rkgHu5GglV No -1387 MIDL Learning From Sparsely Annotated Data for Semantic Segmentation in Histopathology Images. 2019.0 https://openreview.net/pdf?id=SkeBT7BxeV No -1388 MIDL Deep Learning Approach to Semantic Segmentation in 3D Point Cloud Intra-oral Scans of Teeth. 2019.0 https://openreview.net/pdf?id=ByxLSoblgV No -1389 MIDL Unsupervisedly Training GANs for Segmenting Digital Pathology With Automatically Generated Annotations. 2019.0 https://openreview.net/pdf?id=B1gT9_B81E No -1390 MIDL Iterative Learning to Make the Most of Unlabeled and Quickly Obtained Labeled Data in Histology. 2019.0 https://openreview.net/pdf?id=SklToCZ2J4 No -1391 MIDL Digitally Stained Confocal Microscopy Through Deep Learning. 2019.0 https://openreview.net/pdf?id=rJxj3vUel4 No -1392 MIDL DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation. 2019.0 https://openreview.net/pdf?id=rJxMvRFxeN No -1393 MIDL Deep Reinforcement Learning for Subpixel Neural Tracking. 2019.0 https://openreview.net/pdf?id=HJxrNvv0JN https://bitbucket.org/bicv/axon_tracking_with_rl/src/master/ Yes Yes Yes Yes No Yes No -1394 MIDL Prediction of Disease Progression in Multiple Sclerosis Patients Using Deep Learning Analysis of MRI Data. 2019.0 https://openreview.net/pdf?id=rkliARLel4 No -1395 MIDL Generative Image Translation for Data Augmentation of Bone Lesion Pathology. 2019.0 https://openreview.net/pdf?id=rkxOKaj0yV No -1396 MIDL Transfer Learning by Adaptive Merging of Multiple Models. 2019.0 https://openreview.net/pdf?id=rklPRjjlxV https://github.com/cyrusgeyer/TIMM Yes No Yes No Yes No MIT -1397 MIDL Adversarial Domain Adaptation for Cell Segmentation 2020.0 https://openreview.net/pdf?id=mgvieZlHlv Yes -1398 MIDL Domain adaptation model for retinopathy detection from cross-domain OCT images 2020.0 https://openreview.net/pdf?id=h5z-R09QRm Yes -1399 MIDL Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks 2020.0 https://openreview.net/pdf?id=qhZM390B4 Yes -1400 MIDL Fast Mitochondria Detection for Connectomics 2020.0 https://openreview.net/pdf?id=dGd1Z9CHAg https://github.com/mpsych/mitochondria Yes Yes Yes Yes Yes No MIT -1401 MIDL Laplacian pyramid-based complex neural network learning for fast MR imaging 2020.0 https://openreview.net/pdf?id=0IeI8QS8N6 Yes -1402 MIDL Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning 2020.0 https://openreview.net/pdf?id=aqOfnZx4-N Yes -1403 MIDL Understanding Alzheimer disease’s structural connectivity through explainable AI 2020.0 https://openreview.net/pdf?id=K75ya1BJMK Yes -1404 MIDL Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention 2020.0 https://openreview.net/pdf?id=6oG9zkHVLa https://github.com/logangilmour/FoveatedPyramid Yes No Yes Yes No No No -1405 MIDL Multitask radiological modality invariant landmark localization using deep reinforcement learning 2020.0 https://openreview.net/pdf?id=XvBdNAyPCk https://github.com/bocchs/MIDRL-2D No Yes Yes Yes No Yes Apache 2.0 -1406 MIDL Siamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation 2020.0 https://openreview.net/pdf?id=VINrwcDkvA Yes -1407 MIDL Feature Disentanglement to Aid Imaging Biomarker Characterization for Genetic Mutations 2020.0 https://openreview.net/pdf?id=QIK9UQ_omc Yes -1408 MIDL Deep learning-based retinal vessel segmentation with cross-modal evaluation 2020.0 https://openreview.net/pdf?id=-3UtpvQHNX Yes -1409 MIDL Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation 2020.0 https://openreview.net/pdf?id=sXONwA0ex Yes -1410 MIDL Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone 2020.0 https://openreview.net/pdf?id=Ih04Ji3rtN No -1411 MIDL Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain 2020.0 https://openreview.net/pdf?id=vXX5bovYvi https://github.com/afetit/lbp-encoding Yes No No Yes No No No -1412 MIDL Direct estimation of fetal head circumference from ultrasound images based on regression CNN 2020.0 https://openreview.net/pdf?id=RwYqA6AjS Yes -1413 MIDL Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning 2020.0 https://openreview.net/pdf?id=CecZ_0t79q https://github.com/mlaves/well-calibrated-regression-uncertainty Yes Yes Yes Yes No Yes MIT -1414 MIDL Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans 2020.0 https://openreview.net/pdf?id=1Ql71nEERx Yes -1415 MIDL 4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model 2020.0 https://openreview.net/pdf?id=tRdOL-DcPA https://bit.ly/2REVAzB Yes No No Yes No No No -1416 MIDL A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy 2020.0 https://openreview.net/pdf?id=oFXY64JJQ8 No -1417 MIDL Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification 2020.0 https://openreview.net/pdf?id=EKu4FU5s4 https://github.com/RichardOlij/Fusing-ss-GCN-for-Autism-Classification Yes No Yes Yes No No No -1418 MIDL Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting 2020.0 https://openreview.net/pdf?id=wthvY6Y9e No -1419 MIDL Comparing Objective Functions for Segmentation and Detection of Microaneurysms in Retinal Images 2020.0 https://openreview.net/pdf?id=TC_eOaPKBB Yes -1420 MIDL A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality 2020.0 https://openreview.net/pdf?id=NnKIdnPXCr Yes -1421 MIDL Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing 2020.0 https://openreview.net/pdf?id=O9QVJh8eMX https://github.com/conscienceli/SeqNet Yes Yes Yes Yes Yes Yes MIT -1422 MIDL Improving the Ability of Deep Neural Networks to Use Information From Multiple Views in Breast Cancer Screening 2020.0 https://openreview.net/pdf?id=aD86B9pZ6u No -1423 MIDL Accurate Detection of Out of Body Segments in Surgical Video using Semi-Supervised Learning 2020.0 https://openreview.net/pdf?id=k-ANsPQJxY No -1424 MIDL PathologyGAN: Learning deep representations of cancer tissue 2020.0 https://openreview.net/pdf?id=CwgSEEQkad https://github.com/AdalbertoCq/Pathology-GAN Yes Yes Yes Yes Yes Yes No -1425 MIDL Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement 2020.0 https://openreview.net/pdf?id=UUie86nf5B https://github.com/rodsom22/gcn_refinement Yes Yes Yes Yes Yes Yes MIT -1426 MIDL Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks 2020.0 https://openreview.net/pdf?id=hRwB2BTRNu https://github.com/JasperLinmans/m-heads Yes No Yes Yes No Yes MIT -1427 MIDL A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling 2020.0 https://openreview.net/pdf?id=VtVIlHSc0 https://github.com/afetit/fetal-mri-segmentation Yes Yes No Yes Yes Yes BSD 3 -1428 MIDL Deep Reinforcement Learning for Organ Localization in CT 2020.0 https://openreview.net/pdf?id=0vDeD2UD0S Yes -1429 MIDL Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet) 2020.0 https://openreview.net/pdf?id=B_NG9y_wqU Yes -1430 MIDL 3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks 2020.0 https://openreview.net/pdf?id=CCbuElJreP https://github.com/du1388/3d-radnet Yes Yes No Yes Yes Yes GPL 3.0 -1431 MIDL Siamese Tracking of Cell Behaviour Patterns 2020.0 https://openreview.net/pdf?id=V3ZrDLgNgu https://gitlab.com/Baggsy/cell_tracking_2019 Yes -1432 MIDL An Auto-Encoder Strategy for Adaptive Image Segmentation 2020.0 https://openreview.net/pdf?id=J1-4vNudWo https://github.com/evanmy/sae No Yes Yes Yes Yes Yes No -1433 MIDL Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation 2020.0 https://openreview.net/pdf?id=F1MIJCqX2J https://github.com/yding5/Uncertainty-aware-training Yes No Yes No No Yes No -1434 MIDL Mutual information deep regularization for semi-supervised segmentation 2020.0 https://openreview.net/pdf?id=iunvffXgPm Yes -1435 MIDL Extending Unsupervised Neural Image Compression With Supervised Multitask Learning 2020.0 https://openreview.net/pdf?id=oepOBj_A7E Yes -1436 MIDL Tensor Networks for Medical Image Classification 2020.0 https://openreview.net/pdf?id=jjk6bxk07G https://github.com/raghavian/loTeNet_pytorch/ Yes Yes Yes No No Yes MIT -1437 MIDL Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM) 2020.0 https://openreview.net/pdf?id=9exoP7PDD3 https://github.com/tomvars/sifter Yes No No Yes No No No -1438 MIDL A learning strategy for contrast-agnostic MRI segmentation 2020.0 https://openreview.net/pdf?id=Qz2DgRQGlP https://github.com/BBillot/SynthSeg Yes Yes Yes Yes Yes Yes Apache 2.0 -1439 MIDL Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective 2020.0 https://openreview.net/pdf?id=UHtZuvXHoA https://github.com/IvanEz/Red-GAN Yes Yes Yes Yes No Yes MIT -1440 MIDL DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration 2020.0 https://openreview.net/pdf?id=Q0Bm5e6dkW https://github.com/abnan/DRMIME Yes No Yes Yes No Yes No -1441 MIDL Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network 2020.0 https://openreview.net/pdf?id=2wAX1X5X6n Yes -1442 MIDL MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction 2020.0 https://openreview.net/pdf?id=pMHk_HIZf7 Yes -1443 MIDL SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice Attention 2020.0 https://openreview.net/pdf?id=wlszIiXbfS Yes -1444 MIDL Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives 2020.0 https://openreview.net/pdf?id=55VoQFvQM No -1445 MIDL On Direct Distribution Matching for Adapting Segmentation Networks 2020.0 https://openreview.net/pdf?id=-C9f-eGAuV https://github.com/g-pichler/DDMSegNet Yes No Yes No No No No -1446 MIDL DIVA: Domain Invariant Variational Autoencoder 2020.0 https://openreview.net/pdf?id=RmNckVums7 https://github.com/AMLab-Amsterdam/DIVA Yes Yes Yes Yes No No MIT -1447 MIDL Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study 2020.0 https://openreview.net/pdf?id=hsGCHJDRm2 No -1448 MIDL Continual Learning for Domain Adaptation in Chest X-ray Classification 2020.0 https://openreview.net/pdf?id=lgE-MUlU1g Yes -1449 MIDL On the limits of cross-domain generalization in automated X-ray prediction 2020.0 https://openreview.net/pdf?id=RZ-1WCgOQU https://github.com/mlmed/torchxrayvision Yes Yes Yes Yes Apache 2.0 -1450 MIDL Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays 2020.0 https://openreview.net/pdf?id=rY3bgRRHnD Yes -1451 MIDL Addressing The False Negative Problem of MRI Reconstruction Networks by Adversarial Attacks and Robust Training 2020.0 https://openreview.net/pdf?id=7NF2rZwE-z Yes -1452 MIDL Towards multi-sequence MR image recovery from undersampled k-space data 2020.0 https://openreview.net/pdf?id=Pk7In-gVEd Yes -1453 MIDL An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images 2020.0 https://openreview.net/pdf?id=iJVionbWNX https://github.com/Kainmueller-Lab/aux_cpv_loss/tree/arxiv Yes No Yes Yes No Yes MIT -1454 MIDL End-to-end learning of convolutional neural net and dynamic programming for left ventricle segmentation 2020.0 https://openreview.net/pdf?id=_4_RPMYWN Yes -1455 MIDL KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow 2020.0 https://openreview.net/pdf?id=OrBdiT86_O https://github.com/Bala93/KD-MRI Yes Yes Yes Yes No Yes No -1456 MIDL Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping 2020.0 https://openreview.net/pdf?id=DuWrLOZ27k No -1457 MIDL How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study 2020.0 https://openreview.net/pdf?id=hM4pNbXWst https://github.com/JunMa11/SegWithDistMap Yes Yes Yes Yes No Yes Apache 2.0 -1458 MIDL Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision 2020.0 https://openreview.net/pdf?id=m7HZ-yil_- https://github.com/LIVIAETS/boxes_tightness_prior Yes Yes Yes Yes No Yes No -1459 MIDL Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Spatial Prior 2020.0 https://openreview.net/pdf?id=dxVMXBzKKQ No -1460 MIDL Skull-RCNN: A CNN-based network for the skull fracture detection 2020.0 https://openreview.net/pdf?id=BUQyqaRhNH No -1461 MIDL Priority Unet: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography 2020.0 https://openreview.net/pdf?id=BpXY-yIs6f No -1462 MIDL Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping 2021.0 https://openreview.net/pdf?id=VO7asaS5GUk https://github.com/christianabbet/SRA Yes Yes Yes Yes Yes Yes Apache-2.0 -1463 MIDL Stroke Lesion Outcome Prediction Based on 4D CT Perfusion Data Using Temporal Convolutional Networks 2021.0 https://openreview.net/pdf?id=0YDEgvfwEW No -1464 MIDL Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets 2021.0 https://openreview.net/pdf?id=GDs7V3mS1h9 No -1465 MIDL An MRF-UNet Product of Experts for Image Segmentation 2021.0 https://openreview.net/pdf?id=PoIV8EXQDjn https://github.com/balbasty/nitorch/blob/3c66ccc5793ac76c51c48a9c063b8638df324e48/nitorch/nn/modules/segmentation.py#L394 Yes Yes Yes Yes No Yes MIT -1466 MIDL Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning 2021.0 https://openreview.net/pdf?id=-9bAYexxLtN https://github.com/esizikova/weaklesionmtl Yes Yes Yes Yes Yes Yes GNU -1467 MIDL Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays 2021.0 https://openreview.net/pdf?id=rnunjvgxAMt https://github.com/mlmed/gifsplanation Yes No No Yes No No No -1468 MIDL Semantic similarity metrics for learned image registration 2021.0 https://openreview.net/pdf?id=9M5cH--UdcC https://github.com/SteffenCzolbe/DeepSimRegistration Yes Yes Yes Yes No Yes No -1469 MIDL M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations 2021.0 https://openreview.net/pdf?id=ud-iBiED9zb https://github.com/Niharika-SD/M-GCN Yes No Yes Yes No No No -1470 MIDL Improving MRI-based Knee Disorder Diagnosis with Pyramidal Feature Details 2021.0 https://openreview.net/pdf?id=7psPmlNffvg https://github.com/matteo-dunnhofer/MRPyrNet Yes Yes Yes Yes No Yes GPL 3.0 -1471 MIDL Intensity Correction and Standardization for Electron Microscopy Data 2021.0 https://openreview.net/pdf?id=MAUkVcDzDPA Yes -1472 MIDL A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation 2021.0 https://openreview.net/pdf?id=NDEmtyb4cXu https://github.com/rosanajurdi/Prior-based-Losses-for-Medical-Image-Segmentation Yes No Yes Yes No Yes No -1473 MIDL Tailoring automated data augmentation to H&E-stained histopathology 2021.0 https://openreview.net/pdf?id=JrBfXaoxbA2 https://github.com/DIAGNijmegen/pathology-he-auto-augment Yes No Yes No No Yes Apache-2.0 -1474 MIDL Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss 2021.0 https://openreview.net/pdf?id=uLtYvtWw8PH https://github.com/chaosfengz/Nuc2Vec Yes No No No No No No -1475 MIDL CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation 2021.0 https://openreview.net/pdf?id=eA7PGMYmHFA https://github.com/stanfordmlgroup/CheXseg Yes Yes Yes Yes Yes Yes MIT -1476 MIDL Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation 2021.0 https://openreview.net/pdf?id=E5CpgfwHBoC Yes -1477 MIDL Direct Inference of Cell Positions using Lens-Free Microscopy and Deep Learning 2021.0 https://openreview.net/pdf?id=2fpsTsvCgc0 No -1478 MIDL Membership Inference Attacks on Deep Regression Models for Neuroimaging 2021.0 https://openreview.net/pdf?id=8lL_y9n-CV Yes -1479 MIDL Discrete Pseudohealthy Synthesis: Aortic Root Shape Typification and Type Classification with Pathological Prior 2021.0 https://openreview.net/pdf?id=Fqmbjvawgt Yes -1480 MIDL Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model 2021.0 https://openreview.net/pdf?id=Koyg3kvH-Mq https://github.com/Seolen/weak_seg_via_shape_model Yes Yes Yes Yes No Yes No -1481 MIDL The OOD Blind Spot of Unsupervised Anomaly Detection 2021.0 https://openreview.net/pdf?id=ZDD2TbZn7X1 https://github.com/matthaeusheer/uncertify Yes No Yes Yes MIT -1482 MIDL CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning 2021.0 https://openreview.net/pdf?id=BX0kKB1zB1Q No -1483 MIDL Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies 2021.0 https://openreview.net/pdf?id=hzbuHGhU02Z No -1484 MIDL Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features 2021.0 https://openreview.net/pdf?id=k1BSWQqHoMV Yes -1485 MIDL Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning 2021.0 https://openreview.net/pdf?id=TjwDWRdfZpg https://github.com/fk128/batchnorm-transferlearning/ Yes Yes Yes No No Yes No -1486 MIDL Beyond pixel-wise supervision: semantic segmentation with higher-order shape descriptors 2021.0 https://openreview.net/pdf?id=nqe6e0oJ_fL https://github.com/hkervadec/shape_descriptors Yes Yes Yes Yes Yes No -1487 MIDL Feature-based image registration in structured light endoscopy 2021.0 https://openreview.net/pdf?id=MzC8X6cMF2r https://github.com/julzil/endolas Yes Yes Yes Yes No Yes GPL 3.0 -1488 MIDL Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network 2021.0 https://openreview.net/pdf?id=96BhL_MERil Yes -1489 MIDL Embedding-based Instance Segmentation in Microscopy 2021.0 https://openreview.net/pdf?id=JM6GuFGayL5 https://github.com/juglab/EmbedSeg Yes Yes Yes Yes Yes Yes Attribution-NonCommercial 4.0 -1490 MIDL Benefits of Linear Conditioning for Segmentation using Metadata 2021.0 https://openreview.net/pdf?id=fa176bQAbr https://github.com/ivadomed/ivadomed Yes Yes Yes Yes Yes Yes MIT -1491 MIDL Improved model-based deep learning for quantitative susceptibility mapping 2021.0 https://openreview.net/pdf?id=Y7koM_09Cme https://github.com/juana313/uQSM-plus Yes No Yes Yes No No No -1492 MIDL Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis 2021.0 https://openreview.net/pdf?id=nBT8eNF7aXr https://github.com/nyukat/GLAM Yes Yes Yes Yes Yes Yes Custom -1493 MIDL Distill DSM: Computationally efficient method for segmentation of medical imaging volumes 2021.0 https://openreview.net/pdf?id=_n48l6YKc6d Yes -1494 MIDL An AI-based Framework for Diagnostic Quality Assessment of Ankle Radiographs 2021.0 https://openreview.net/pdf?id=bj04hJss_xZ No -1495 MIDL Unifying Brain Age Prediction and Age-Conditioned Template Generation with a Deterministic Autoencoder 2021.0 https://openreview.net/pdf?id=9ClUQ2ELJap https://github.com/pmouches/Brain-Age-Prediction-and-Age-Conditioned-Template-Generation Yes Yes Yes Yes No No No -1496 MIDL Learning Interclass Relations for Intravenous Contrast Phase Classification in CT 2021.0 https://openreview.net/pdf?id=B01pd5ot0w6 No -1497 MIDL EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, with Prognostic Stratification Boosting 2021.0 https://openreview.net/pdf?id=JSSwHS_GU63 No -1498 MIDL “Train one, Classify one, Teach one” - Cross-surgery transfer learning for surgical step recognition 2021.0 https://openreview.net/pdf?id=cTB4Qz3RzCl Yes -1499 MIDL GOAL: Gist-set Online Active Learning for Efficient Chest X-ray Image Annotation 2021.0 https://openreview.net/pdf?id=boTEEpM8mu Yes -1500 MIDL Balanced sampling for an object detection problem - application to fetal anatomies detection 2021.0 https://openreview.net/pdf?id=ZGvtypAfHiA No -1501 MIDL Explainable Image Quality Analysis of Chest X-Rays 2021.0 https://openreview.net/pdf?id=ln797A8lAb0 https://github.com/canerozer/explainable-iqa Yes Yes No Yes Yes No MIT -1502 MIDL Localizing neurosurgical instruments across domains and in the wild 2021.0 https://openreview.net/pdf?id=21m0dBCMdd No -1503 MIDL Unsupervised Brain Anomaly Detection and Segmentation with Transformers 2021.0 https://openreview.net/pdf?id=Z1tlNqbCpp_ Yes -1504 MIDL Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping 2021.0 https://openreview.net/pdf?id=hxgQM71AuRA https://github.com/CarolinMA/MRP_MoCo No No Yes Yes No No No -1505 MIDL Image Sequence Generation and Analysis via GRU and Attention for Trachomatous Trichiasis Classification 2021.0 https://openreview.net/pdf?id=umb5xsy1-zS No -1506 MIDL Learning Diffeomorphic and Modality-invariant Registration using B-splines 2021.0 https://openreview.net/pdf?id=eSI9Qh2DJhN https://github.com/qiuhuaqi/midir Yes Yes Yes Yes No Yes MIT -1507 MIDL Understanding and Visualizing Generalization in UNets 2021.0 https://openreview.net/pdf?id=V-a5DJCh4Hk https://gitlab.com/abhe/UNet-Generalization_MIDL2021 No No Yes No No No -1508 MIDL CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning 2021.0 https://openreview.net/pdf?id=BX0kKB1zB1Q Yes -1509 MIDL Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays 2021.0 https://openreview.net/pdf?id=i-zxSlqneRu Yes -1510 MIDL Changing the Contrast of Magnetic Resonance Imaging Signals using Deep Learning 2021.0 https://openreview.net/pdf?id=lWeQH4Kpsys https://zenodo.org/record/4530894#.YogC96hByUk No No No Yes Yes Yes Creative Commons Attribution 4.0 -1511 MIDL MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models 2021.0 https://openreview.net/pdf?id=LO7Su0-dPJl https://github.com/stanfordmlgroup/MoCo-CXR Yes Yes Yes Yes Yes Yes No -1512 MIDL A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging 2021.0 https://openreview.net/pdf?id=DvV_blKLiB4 https://github.com/maltetoelle/mfvi-dip Yes Yes Yes Yes No Yes MIT -1513 MIDL Learning the Latent Heat Diffusion Process through Structural Brain Network from Longitudinal -Amyloid Data 2021.0 https://openreview.net/pdf?id=S3QYCe74DPu https://github.com/mturja-vf-ic-bd/Diffusion_u_net/tree/master Yes No Yes No No Yes No -1514 MIDL Guided Filter Regularization for Improved Disentanglement of Shape and Appearance in Diffeomorphic Autoencoders 2021.0 https://openreview.net/pdf?id=ILEMHPV_Lc2 https://github.com/hristina-uzunova/GF_DAE Yes No Yes Yes No Yes AGPL 3.0 -1515 MIDL HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images 2021.0 https://openreview.net/pdf?id=48UgSFrNR2 https://github.com/SaverioVad/HAD_Net Yes Yes Yes Yes Yes Yes No -1516 MIDL Untangling the Small Intestine in 3D cine-MRI using Deep Stochastic Tracking 2021.0 https://openreview.net/pdf?id=cfYAFR6s6iJ No -1517 MIDL Automated triaging of head MRI examinations using convolutional neural networks 2021.0 https://openreview.net/pdf?id=gh8qD_lAADe https://github.com/MIDIconsortium/Prioritization_simulation No No No Yes No No No -1518 MIDL A regularization term for slide correlation reduction in whole slide image analysis with deep learning 2021.0 https://openreview.net/pdf?id=2vCFIoWDS6E https://github.com/hrzhang1123/SlideCorrelationReduction Yes No No No No No No -1519 MIDL SWNet: Surgical Workflow Recognition with Deep Convolutional Network 2021.0 https://openreview.net/pdf?id=g1sESqlP214 No -1520 MIDL Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping 2021.0 https://openreview.net/pdf?id=LFaxozc7Awm https://github.com/Jinwei1209/HOBIT No No Yes No Yes No No -1521 MIDL Detecting Out-of-Distribution via an Unsupervised Uncertainty Estimation for Prostate Cancer Diagnosis 2022.0 https://openreview.net/pdf?id=WDRcTpj5WfF No -1522 MIDL Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer 2022.0 https://openreview.net/pdf?id=KUmlnqHrAbE https://github.com/HiLab-git/SSL4MIS Yes Yes Yes Yes No Yes MIT -1523 MIDL Explainability Guided COVID-19 Detection in CT Scans 2022.0 https://openreview.net/pdf?id=KWucjFOxEb2 https://github.com/AmeenAli/Explainability_COVID19 Yes No Yes Yes No Yes No -1524 MIDL Self-Supervised Representation Learning for High-Content Screening 2022.0 https://openreview.net/pdf?id=XIofcluPNu Yes -1525 MIDL Towards IID representation learning and its application on biomedical data 2022.0 https://openreview.net/pdf?id=qKZH_U-tn9P https://github.com/CTPLab/IID_representation_learning Yes Yes Yes Yes Yes Yes MIT -1526 MIDL Regularizing Brain Age Prediction via Gated Knowledge Distillation 2022.0 https://openreview.net/pdf?id=nxA2bZff3iQ https://github.com/podismine/BrainAgeReg Yes No Yes Yes No Yes Apache 2.0 -1527 MIDL OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift 2022.0 https://openreview.net/pdf?id=B6HdQaY_iR https://github.com/devavratTomar/OptTTA Yes Yes Yes Yes No No Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 -1528 MIDL Breathing Freely: Self-supervised Liver T1rho Mapping from A Single T1rho-weighted Image 2022.0 https://openreview.net/pdf?id=x5GYGP2cPI9 https://github.com/mricuhk/demo_self-supervised_T1rho_mapping Yes No No No Yes No No -1529 MIDL Memory-efficient Segmentation of Volumetric High-resolution MicroCT Images 2022.0 https://openreview.net/pdf?id=ecOY_ywB3UB https://github.com/Virgil3706/Memory-efficient-U-net No No Yes Yes No No MIT -1530 MIDL KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection 2022.0 https://openreview.net/pdf?id=OrNzjERFybh https://github.com/evanmy/keymorph Yes Yes Yes Yes Yes Yes MIT -1531 MIDL Inference of captions from histopathological patches 2022.0 https://openreview.net/pdf?id=9gKn7SDb83v https://github.com/evanmy/keymorph Yes Yes Yes No Yes Yes MIT -1532 MIDL Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation 2022.0 https://openreview.net/pdf?id=OL6tAasXCmi https://github.com/moucheng2017/Morphological_Feature_Perturbation_SSL Yes Yes Yes Yes Yes Yes No -1533 MIDL Speckle and Shadows: Ultrasound-specific Physics-based Data Augmentation Applied to Kidney Segmentation 2022.0 https://openreview.net/pdf?id=E_KsfOoVf9D https://github.com/rsingla92/speckle_n_shadow No No Yes No No -1534 MIDL Self-Supervised Transformers for fMRI representation 2022.0 https://openreview.net/pdf?id=0ZNbiLvTPem https://github.com/GonyRosenman/TFF Yes Yes Yes Yes No Yes No -1535 MIDL CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling 2022.0 https://openreview.net/pdf?id=vVPMifME8b https://github.com/fdenz/HeuristicCLLabeling No No No No No No Creative Commons Attribution-NonCommercial 4.0 -1536 MIDL FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation 2022.0 https://openreview.net/pdf?id=oWFphg2IKon https://github.com/Wayfear/FBNETGEN Yes No Yes Yes No Yes No -1537 MIDL Bridging the Gap: Point Clouds for Merging Neurons in Connectomics 2022.0 https://openreview.net/pdf?id=lHDVYDy5S9l Yes -1538 MIDL Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data 2022.0 https://openreview.net/pdf?id=v-z4Zxkt9Ex https://github.com/ddrrnn123/Omni-Seg Yes No No Yes Yes No MIT -1539 MIDL Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection 2022.0 https://openreview.net/pdf?id=aZgiUNye2Cz https://github.com/lmkoch/subgroup-shift-detection Yes Yes Yes Yes Yes Yes MIT -1540 MIDL JOINED: Prior Guided Multitask Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection 2022.0 https://openreview.net/pdf?id=HU6-t9oKvRW https://github.com/HuaqingHe/JOINED Yes Yes No No No No No -1541 MIDL Label conditioned segmentation 2022.0 https://openreview.net/pdf?id=ML3EIKhFMaW https://github.com/tym002/Label-conditioned-segmentation Yes Yes Yes Yes No Yes No -1542 MIDL Practical uncertainty quantification for brain tumor segmentation 2022.0 https://openreview.net/pdf?id=Srl3-HnY14U https://github.com/MECLabTUDA/VIMH Yes Yes Yes No No No No -1543 MIDL Implicit Neural Representations for Deformable Image Registration 2022.0 https://openreview.net/pdf?id=BP29eKzQBu3 https://github.com/MIAGroupUT/IDIR Yes No Yes Yes No No MIT -1544 MIDL Domain adaptation through anatomical constraints for 3d human pose estimation under the cover 2022.0 https://openreview.net/pdf?id=iCTU7EQipC https://github.com/multimodallearning/da-3dhpe-anatomy Yes Yes Yes Yes Yes Yes MIT -1545 MIDL Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement Learning 2022.0 https://openreview.net/pdf?id=2CakDDr9e9L No -1546 MIDL Transformer-based out-of-distribution detection for clinically safe segmentation 2022.0 https://openreview.net/pdf?id=En7660i-CLJ No -1547 MIDL MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning 2022.0 https://openreview.net/pdf?id=GgLjvwvB8yF https://github.com/stanfordmlgroup/MedSelect Yes Yes Yes Yes No Yes Apache 2.0 -1548 MIDL Automatic planning of liver tumor thermal ablation using deep reinforcement learning 2022.0 https://openreview.net/pdf?id=ehsvFoQaz-W Yes -1549 MIDL VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction 2022.0 https://openreview.net/pdf?id=WjwUeGh0yMK https://github.com/ad12/meddlr Yes Yes Yes Yes Yes Yes Apache 2.0 -1550 MIDL Diffusion Models for Implicit Image Segmentation Ensembles 2022.0 https://openreview.net/pdf?id=QNLR05X6uW https://github.com/JuliaWolleb/Diffusion-based-Segmentation Yes Yes Yes Yes No Yes Apache 2.0 -1551 MIDL MAF-Net: Multi-branch Anchor-Free Detector for Polyp Localization and Classification in Colonoscopy 2022.0 https://openreview.net/pdf?id=smSjbVJvPfN No -1552 MIDL Learned Half-Quadratic Splitting Network for MR Image Reconstruction 2022.0 https://openreview.net/pdf?id=h7rXUbALijU https://github.com/hellopipu/HQS-Net Yes No Yes Yes Yes Yes No -1553 MIDL CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging 2022.0 https://openreview.net/pdf?id=PNAdmb_Ujf https://github.com/MR-HosseinzadehTaher/CAiD Yes Yes Yes Yes No Yes Custom -1554 MIDL AdwU-Net: Adaptive Depth and Width U-Net for Medical Image Segmentation by Differentiable Neural Architecture Search 2022.0 https://openreview.net/pdf?id=kF-d1SKWJpS https://github.com/Ziyan-Huang/AdwU-Net Yes Yes Yes No No Yes No -1555 MIDL SZLoc: A Multi-resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEG 2022.0 https://openreview.net/pdf?id=yGgZ3iPrkJT No -1556 MIDL Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation 2022.0 https://openreview.net/pdf?id=CwXCs6HObSw https://github.com/yyNoBug/VAE_segmentation Yes Yes Yes Yes No Yes No -1557 MIDL Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View Data 2022.0 https://openreview.net/pdf?id=9NOyrfUBtx1 https://github.com/klanita/sigoat/ No No Yes Yes No Yes MIT -1558 MIDL Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions 2022.0 https://openreview.net/pdf?id=UuHtdwRXkzw https://github.com/menzelab/implicit-shape-reconstruction Yes Yes Yes Yes No Yes MIT -1559 MIDL SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities 2022.0 https://openreview.net/pdf?id=X5H_eVaqtb https://github.com/rezazad68/smunet Yes No Yes Yes No Yes MIT -1560 MIDL Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans 2022.0 https://openreview.net/pdf?id=5JEnrPnpbI7 https://github.com/zju-ai4h/Unsupervised-Pretraining-for-tooth-segmentation No Yes Yes Yes Yes Yes No -1561 MIDL PILLET-GAN: Pixel-Level Lesion Traversal Generative Adversarial Network for Pneumonia Localization 2022.0 https://openreview.net/pdf?id=kFDD80TdDLs Yes -1562 MIDL Region Aware Transformer for Automatic Breast Ultrasound Tumor Segmentation 2022.0 https://openreview.net/pdf?id=2bVDHzy7xwV https://github.com/zhenxiner/RAT-Net No Yes Yes Yes No Yes No -1563 MIDL Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data 2022.0 https://openreview.net/pdf?id=ulJpSvIwFdU https://github.com/dmitrav/pheno-ml No No No No Yes No No -1564 MIDL Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies 2022.0 https://openreview.net/pdf?id=RPR7hjLYTyU https://github.com/dmitrav/morpho-learner No No Yes Yes No No -1565 MIDL YAMU: Yet Another Modified U-Net Architecture for Semantic Segmentation 2022.0 https://openreview.net/pdf?id=RPFCw3VU6R9 No -1566 MIDL Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI 2022.0 https://openreview.net/pdf?id=Bm8-t_ggzPD https://github.com/AntanasKascenas/DenoisingAE Yes Yes Yes Yes No Yes GPL 2.0 -1567 MIDL Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation 2022.0 https://openreview.net/pdf?id=whpBn0oadz https://gitlab.com/radiology/aim/carotid-artery-image-analysis/diameter-learning Yes Yes Yes Yes No Yes MIT -1568 MIDL Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays 2022.0 https://openreview.net/pdf?id=NpHKh4YlQ0D https://github.com/benbergner/emil No No No Yes No No MIT -1569 MIDL MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers 2022.0 https://openreview.net/pdf?id=_GUu3Rf8Gy No -1570 MIDL Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings 2022.0 https://openreview.net/pdf?id=3uQ2Z0MhnoE https://github.com/IML-DKFZ/m-pax_lib Yes Yes Yes Yes No Yes Apache 2.0 -1571 MIDL On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction 2022.0 https://openreview.net/pdf?id=eAkOp9Oet5y https://github.com/facebookresearch/fastMRI Yes Yes Yes Yes Yes Yes MIT -1572 MIDL Domain Generalization for Retinal Vessel Segmentation with Vector Field Transformer 2022.0 https://openreview.net/pdf?id=mB_V8ThxY8Z https://github.com/MedICL-VU/Vector-Field-Transformer Yes No No No Yes No No -1573 MIDL TorchXRayVision: A library of chest X-ray datasets and models 2022.0 https://openreview.net/pdf?id=_5iri84DJmE https://github.com/mlmed/torchxrayvision Yes Yes Yes Yes Apache 2.0 -1574 MIDL Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning 2022.0 https://openreview.net/pdf?id=QBg9YNm26FF https://github.com/NYUMedML/conditional_ssl_hist Yes No Yes Yes Yes Yes No -1575 MIDL Attention Guided Deep Supervision Model for Prostate Segmentation in MultiSite Heterogeneous MRI Data 2022.0 https://openreview.net/pdf?id=5RBBK1iTs2C No -1576 MIDL Hierarchical Optimal Transport for Comparing Histopathology Datasets 2022.0 https://openreview.net/pdf?id=gADV7sV4CMo https://github.com/ayeaton/HHOT Yes Yes No Yes Yes No No -1577 MIDL Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI 2022.0 https://openreview.net/pdf?id=Jc8lyRwRs90 Yes -1578 MIDL Anomaly-Aware 3D Segmentation of Knee Magnetic Resonance Images 2022.0 https://openreview.net/pdf?id=Blt5-qTxdKo Yes -1579 MIDL Learning Strategies for Contrast-agnostic Segmentation via SynthSeg for Infant MRI data 2022.0 https://openreview.net/pdf?id=MOYTPAvLluZ https://github.com/ZiyaoShang/infant_SynthSeg Yes Yes Yes Yes Yes Yes No -1580 MIDL TopoFit: Rapid Reconstruction of Topologically-Correct Cortical Surfaces 2022.0 https://openreview.net/pdf?id=-JiHeZNDY3a https://github.com/ahoopes/topofit Yes No Yes Yes Yes No No -1581 MIDL Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models? 2022.0 https://openreview.net/pdf?id=4V7YQVC7Kru Yes -1582 MIDL Hybrid Ladder Transformers with Efficient Parallel-Cross Attention for Medical Image Segmentation 2022.0 https://openreview.net/pdf?id=swvVpnzro9q https://github.com/Roypic/LTUNet Yes No Yes No No Yes No -1583 MIDL Position Regression for Unsupervised Anomaly Detection 2022.0 https://openreview.net/pdf?id=myJkK4u93g https://gitlab.com/cian.unibas.ch/position-regression Yes Yes Yes Yes No Yes Apache 2.0 -1584 MIDL i3Deep: Efficient 3D interactive segmentation with the nnU-Net 2022.0 https://openreview.net/pdf?id=R420Pr5vUj3 https://github.com/Karol-G/i3Deep Yes No No Yes Yes No Apache 2.0 -1585 MIDL LILE: Look In-Depth before Looking Elsewhere -- A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives 2022.0 https://openreview.net/pdf?id=ZmsElUaQ0Xm Yes -1586 MIDL Unsupervised Domain Adaptation for Medical Image Segmentation via Self-Training of Early Features 2022.0 https://openreview.net/pdf?id=wc9qnxw35tS https://github.com/ferasha/UDAS Yes No Yes Yes No Yes No -1587 MIDL Efficient tool segmentation for endoscopic videos in the wild 2022.0 https://openreview.net/pdf?id=DPkb7gxt6gZ https://github.com/endomapperUZ/toolSegmentation Yes No Yes Yes Yes Yes Custom -1588 MIDL On the Pitfalls of Using the Residual as Anomaly Score 2022.0 https://openreview.net/pdf?id=ZsoHLeupa1D https://github.com/FeliMe/residual-score-pitfalls Yes No Yes Yes Yes MIT -1589 MIDL An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell Segmentation 2022.0 https://openreview.net/pdf?id=C4B46ZS7MSB https://github.com/SerbanVadineanu/labeling_errors_on_cell_segmentation Yes Yes Yes Yes No -1590 MIDL Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis 2022.0 https://openreview.net/pdf?id=mpp843Bsf- https://github.com/metrics-lab/surface-vision-transformers Yes No Yes No No No No -1591 MIDL Vision Transformers Enable Fast and Robust Accelerated MRI 2022.0 https://openreview.net/pdf?id=cNX6LASbv6 https://github.com/MLI-lab/transformers_for_imaging Yes Yes Yes Yes No Yes Apache 2.0 -1592 MIDL Structural Networks for Brain Age Prediction 2022.0 https://openreview.net/pdf?id=Uf8Ow26cpU https://github.com/imatge-upc/structnet_aging Yes No Yes Yes No Yes No -1593 MIDL A Flexible Meta-Learning Model for Image Registration 2022.0 https://openreview.net/pdf?id=DVvXkperT3t https://github.com/FredKanter/ML-Model-ImageRegistration Yes Yes Yes Yes No No No -1594 MIDL Negative Evidence Matters in Interpretable Histology Image Classification 2022.0 https://openreview.net/pdf?id=FF6XuIyeF6V https://github.com/sbelharbi/negev Yes Yes Yes Yes No Yes GPL 3.0 -1595 MIDL Holistic Modeling in Medical Image Segmentation Using Spatial Recurrence 2022.0 https://openreview.net/pdf?id=avqFDNyt0Dj https://github.com/JoaoCarv/holistic-seg Yes Yes Yes Yes No Yes MIT -1596 MIDL Orientation Estimation of Abdominal Ultrasound Images with Multi-Hypotheses Networks 2022.0 https://openreview.net/pdf?id=1gsauv2B7Ar No -1597 MIDL Cell Anomaly Localisation using Structured Uncertainty Prediction Networks 2022.0 https://openreview.net/pdf?id=-RLCTAvUxuf https://github.com/boykovdn/unsupervised_cells_supn No Yes Yes Yes No Yes CC-BY_4.0 -1598 MIDL Deep Learning for Model Correction in Cardiac Electrophysiological Imaging 2022.0 https://openreview.net/pdf?id=7MW9oh7MDKp https://github.com/Inria-Asclepios/APHYN-EP Yes No Yes No No Yes No -1599 MIDL Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder 2022.0 https://openreview.net/pdf?id=U6HJMtAgW-N https://github.com/m-lyon/dMRI-RCNN Yes No Yes Yes Yes Yes MIT -1600 MIDL Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data 2022.0 https://openreview.net/pdf?id=YWDmiiJ4hYP https://github.com/ahmedhshahin/IPFSurv Yes No Yes Yes No No No -1601 MIDL Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups 2022.0 https://openreview.net/pdf?id=_ZUu2wpDDVv https://github.com/lucyOCg/Weakly-supervised-learning-for-histopathology-image-based-classification Yes No No No No No No -1602 MIDL Diffeomorphic Image Registration using Lipschitz Continuous Residual Networks. 2022.0 https://openreview.net/pdf?id=AREzZY5zASj Yes -1603 MIDL Are 2.5D approaches superior to 3D deep networks in whole brain segmentation? 2022.0 https://openreview.net/pdf?id=Ob62JPB_CDF https://github.com/Deep-MI/3d-neuro-seg Yes Yes Yes Yes Yes Yes Apache 2.0 -1604 MIDL Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net 2022.0 https://openreview.net/pdf?id=paGzvj2t_x https://github.com/voreille/2d_bispectrum_cnn Yes Yes Yes Yes No No MIT -1605 MIDL Segmentation-Consistent Probabilistic Lesion Counting 2022.0 https://openreview.net/pdf?id=kwcxym1kMtf https://github.com/SchroeterJulien/MIDL-2022-Segmentation-Consistent-Lesion-Counting No No Yes Yes No Yes No -1606 MIDL Confidence Histograms for Model Reliability Analysis and Temperature Calibration 2022.0 https://openreview.net/pdf?id=p2f6ROn1h02 https://github.com/hmeine/confidence_histograms Yes No Yes No Apache 2.0 -1607 MIDL A Modular Deep Learning Pipeline for Cell Culture Analysis: Investigating the Proliferation of Cardiomyocytes 2022.0 https://openreview.net/pdf?id=hTil-xs1xNq No -1608 MIDL Video-based Computer-aided Laparoscopic Bleeding Management: a Space-time Memory Neural Network with Positional Encoding and Adversarial Domain Adaptation 2022.0 https://openreview.net/pdf?id=kmV0i37vuCy Yes -1609 MIDL Warmstart Approach for Accelerating Deep Image Prior Reconstruction in Dynamic Tomography 2022.0 https://openreview.net/pdf?id=aWD0kzMmyD_ Yes -1610 MIDL Learning to Automatically Generate Accurate ECG Captions 2022.0 https://openreview.net/pdf?id=Y-kXbPYtzsg https://github.com/MathieuBartels/ECGCaption No Yes Yes Yes No Yes No -1611 MIDL Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning 2022.0 https://openreview.net/pdf?id=QDJhkKy5x4q No -1612 MIDL SynthMap: a generative model for synthesis of 3D datasets for quantitative MRI parameter mapping of myelin water fraction 2022.0 https://openreview.net/pdf?id=qWkGHtDCATs https://github.com/sergeicu/synthmap No No Yes Yes No No No -1613 MIDL ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation 2022.0 https://openreview.net/pdf?id=9xtE2AgD_Cc https://github.com/masadcv/ECONet-MONAILabel Yes Yes No Yes Yes Yes Apache 2.0 -1614 MIDL Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum Biomarkers 2022.0 https://openreview.net/pdf?id=NyxXpTbHUCJ No -1615 MIDL MRI bias field correction with an implicitly trained CNN. 2022.0 https://openreview.net/pdf?id=LbHd47ij5s https://zenodo.org/record/3749526#.Yn6Hlr9BxhE Yes Yes Yes Yes Yes Yes Creative Commons Attribution 4.0 International -1616 MIDL Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are? 2022.0 https://openreview.net/pdf?id=reIO5WfgbLd Yes -1617 MIDL Explainable Weakly-Supervised Cell Nuclei Segmentation by Canonical Shape Learning and Transformation 2022.0 https://openreview.net/pdf?id=k7JurYNOhQA Yes -1618 MIDL EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring 2022.0 https://openreview.net/pdf?id=KnJsGdhx1kH https://github.com/roydenwa/efficient-cell-seg Yes Yes No Yes Yes Yes No -1619 MIDL GeoLS: Geodesic Label Smoothing for Image Segmentation 2023.0 https://openreview.net/pdf?id=mTIP1bkmR0q https://github.com/adigasu/GeoLS Yes Yes Yes Yes MIT -1620 MIDL Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays 2023.0 https://openreview.net/pdf?id=xkmhsBITaCw https://github.com/StanfordMIMI/siaug Yes Yes Yes Yes No Yes MIT -1621 MIDL MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging 2023.0 https://openreview.net/pdf?id=6Wbj3QCo4U4 https://github.com/aywi/mprotonet Yes Yes Yes Yes No Yes MIT -1622 MIDL A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs 2023.0 https://openreview.net/pdf?id=Ao0D2HMB8P Yes -1623 MIDL An end-to-end framework for diagnosing COVID-19 pneumonia via Parallel Recursive MLP module and Bi-LTSM correlation 2023.0 https://openreview.net/pdf?id=2cgTLIy1Zx No -1624 MIDL Frozen Language Model Helps ECG Zero-Shot Learning 2023.0 https://openreview.net/pdf?id=UAr59yTUWR2 Yes -1625 MIDL Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging 2023.0 https://openreview.net/pdf?id=x4McMBwVyi https://github.com/magdalena-wysocki/ultra-nerf Yes Yes Yes Yes Yes Yes MIT -1626 MIDL Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation 2023.0 https://openreview.net/pdf?id=diXhe9kUnQ https://github.com/zhuye98/ICL.git Yes Yes Yes Yes No Yes No -1627 MIDL Data Consistent Deep Rigid MRI Motion Correction 2023.0 https://openreview.net/pdf?id=KolMbwNBNGv https://github.com/nalinimsingh/neuroMoCo No Yes Yes Yes No Yes No -1628 MIDL Learning to Compare Longitudinal Images 2023.0 https://openreview.net/pdf?id=l17YFzXLP53 https://github.com/heejong-kim/learning-to-compare-longitudinal-images Yes Yes Yes Yes No Yes No -1629 MIDL Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification 2023.0 https://openreview.net/pdf?id=LoJG-lUIlk Yes -1630 MIDL Vesselformer: Towards Complete 3D Vessel Graph Generation from Images 2023.0 https://openreview.net/pdf?id=X_AJqHfE1H https://github.com/chinmay5/vesselformer Yes Yes Yes Yes No Yes No -1631 MIDL DBGDGM: Dynamic Brain Graph Deep Generative Model 2023.0 https://openreview.net/pdf?id=WHS3Zv9pxz https://github.com/simeon-spasov/dynamic-brain-graph-deep-generative-model Yes Yes Yes Yes No Yes No -1632 MIDL E(3) x SO(3) - Equivariant Networks for Spherical Deconvolution in Diffusion MRI 2023.0 https://openreview.net/pdf?id=lri_iAbpn_r https://github.com/AxelElaldi/e3so3_conv Yes Yes Yes Yes No Yes MIT -1633 MIDL Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function 2023.0 https://openreview.net/pdf?id=8o83y0_YtE https://github.com/BrainImageAnalysis/ICI-loss Yes Yes Yes Yes Yes Apache 2.0 -1634 MIDL CP2Image: Generating high-quality single-cell images using CellProfiler representations 2023.0 https://openreview.net/pdf?id=4LqtcKZoKeB Yes -1635 MIDL MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation 2023.0 https://openreview.net/pdf?id=PD0ASSmvlE https://github.com/mindflow-institue/MMCFormer Yes No Yes Yes No Yes MIT -1636 MIDL Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations 2023.0 https://openreview.net/pdf?id=uPRFWdz03_ https://github.com/monikagrewal/OrganSegmentation No Yes Yes Yes No Yes MIT -1637 MIDL Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients 2023.0 https://openreview.net/pdf?id=ruaXPgZCk6i https://github.com/digitalpathologybern/pT1-HBTG-MIDL2023 Yes Yes Yes Yes No Yes Apache 2.0 -1638 MIDL Pre-Training Transformers for Fingerprinting to Improve Stress Prediction in fMRI 2023.0 https://openreview.net/pdf?id=W9qI8DwoUFF No -1639 MIDL Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors 2023.0 https://openreview.net/pdf?id=RU7fr0-M8N https://github.com/LLNL/OODmedic Yes Yes Yes Yes Yes Yes MIT -1640 MIDL Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface Analyses 2023.0 https://openreview.net/pdf?id=HR1GtDQnuw No -1641 MIDL Simple and Efficient Confidence Score for Grading Whole Slide Images 2023.0 https://openreview.net/pdf?id=DA1hOTvcMWa https://github.com/MedICL-VU/SSL-CSF-Inpainting Yes No No No No No No -1642 MIDL Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion 2023.0 https://openreview.net/pdf?id=3QnxUSzR7iu Yes -1643 MIDL Model Adaptive Tooth Segmentation 2023.0 https://openreview.net/pdf?id=O2DerS5oQ1 No -1644 MIDL DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue 2023.0 https://openreview.net/pdf?id=jkSC4UHHVzy https://github.com/jasonbian97/DRIMET-tagged-MRI No No Yes Yes No Yes No -1645 MIDL SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs 2023.0 https://openreview.net/pdf?id=oi5psB9R_l https://github.com/mazurowski-lab/Supermask Yes No Yes Yes No Yes Apache 2.0 -1646 MIDL Decoding natural image stimuli from fMRI data with a surface-based convolutional network 2023.0 https://openreview.net/pdf?id=V5vvti2Y9PA https://github.com/zijin-gu/meshconv-decoding Yes Yes Yes Yes Yes Yes No -1647 MIDL MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation 2023.0 https://openreview.net/pdf?id=pp2raGSU3Wx https://github.com/mindflow-institue/MS-Former Yes No Yes Yes No No MIT -1648 MIDL Reproducibility of the Methods in Medical Imaging with Deep Learning. 2023.0 https://openreview.net/pdf?id=_P59zCfXOt https://docs.google.com/spreadsheets/d/1ndMJ0RbcsByOfr6Cygo8-wxYmzWZFkzI2T34IH1EZW8 Yes No MIT -1649 MIDL Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images 2023.0 https://openreview.net/pdf?id=J0VD-I2IOOg https://github.com/ShahiraAbousamra/MIHC-InverseAE No No No No No No No -1650 MIDL Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime 2023.0 https://openreview.net/pdf?id=2XVITHcQCfj https://github.com/rwindsor1/Data-Efficient-CXR-VLM Yes No No No No No No -1651 MIDL Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening 2023.0 https://openreview.net/pdf?id=8ojx-Ld3yjR Yes -1652 MIDL Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels 2023.0 https://openreview.net/pdf?id=rXVtHHFLRIz Yes -1653 MIDL Sparse Activations for Interpretable Disease Grading 2023.0 https://openreview.net/pdf?id=us8BFTsWOq https://github.com/kdjoumessi/interpretable-sparse-activation Yes Yes Yes Yes Yes Yes No -1654 MIDL Effect of Intensity Standardization on Deep Learning for WML Segmentation in Multi-Centre FLAIR MRI 2023.0 https://openreview.net/pdf?id=sp-X1rXn8_ Yes -1655 MIDL Localization-aware Deep Learning Framework for Statistical Shape Modeling Directly from Images 2023.0 https://openreview.net/pdf?id=oRA8BPiduI No -1656 MIDL Domain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRI 2023.0 https://openreview.net/pdf?id=Ed-9HCu7l2r Yes -1657 MIDL Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling 2023.0 https://openreview.net/pdf?id=oqPQke7xz2 Yes -1658 MIDL nnUNet meets pathology: bridging the gap for application to whole-slide images and computational biomarkers 2023.0 https://openreview.net/pdf?id=aHuwlUu_QR https://github.com/DIAGNijmegen/nnUNet-for-pathology Yes Yes Yes Yes No Yes Apache 2.0 -1659 MIDL A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images 2023.0 https://openreview.net/pdf?id=HzpdwXFc_Q https://github.com/circ-ml/cxr-encoder Yes No No No No No No -1660 MIDL A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction 2023.0 https://openreview.net/pdf?id=xcMTcyk2v69 No -1661 MIDL One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities 2023.0 https://openreview.net/pdf?id=_c9r6-HCEaN -1662 MIDL Domain adaptation using optimal transport for invariant learning using histopathology datasets 2023.0 https://openreview.net/pdf?id=nmZRTaZZv5Z https://github.com/kiakh93/OT-regularized-UDA Yes Yes Yes Yes No Yes Custom -1663 MIDL Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging 2023.0 https://openreview.net/pdf?id=pP3p0rmeyRb Yes -1664 MIDL On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis 2023.0 https://openreview.net/pdf?id=iA0XwM0IU08 https://github.com/facebookresearch/fastMRI/tree/main/fastmri_examples/adaptive_varnet Yes Yes Yes Yes Yes Yes MIT -1665 MIDL Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space 2023.0 https://openreview.net/pdf?id=gaMVPWvzF1d No -1666 MIDL Intra- and Inter-Cellular Awareness for 3D Neuron Tracking and Segmentation in Large-Scale Connectomics 2023.0 https://openreview.net/pdf?id=3_qtVh7gTyy https://github.com/JackieZhai/II-CATS Yes No No No No No No -1667 MIDL SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification 2023.0 https://openreview.net/pdf?id=QXjGotk45lb No -1668 MIDL FUSQA: Fetal Ultrasound Segmentation Quality Assessment 2023.0 https://openreview.net/pdf?id=Umyz5JHIXpD https://github.com/BioMedIA-MBZUAI/FUSQA No No No No No No No -1669 MIDL TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification 2023.0 https://openreview.net/pdf?id=P3tSZhxBwJw https://github.com/LitaoYang-Jet/TPMIL Yes No No No No No No -1670 MIDL TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer 2023.0 https://openreview.net/pdf?id=eF_6td_piu- https://github.com/baoqiangmaUMCG/TransRP Yes Yes Yes Yes No Yes No -1671 MIDL MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model 2023.0 https://openreview.net/pdf?id=Jdw-cm2jG9 https://github.com/WuJunde/MedSegDiff Yes Yes Yes Yes No Yes MIT -1672 MIDL Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency 2023.0 https://openreview.net/pdf?id=e9qGhrfP1v Yes -1673 MIDL OFDVDnet: A Sensor Fusion Approach for Video Denoising in Fluorescence-Guided Surgery 2023.0 https://openreview.net/pdf?id=TcUtCXRcK8 No -1674 MIDL Evaluating Adversarial Robustness of Low dose CT Recovery 2023.0 https://openreview.net/pdf?id=L-N1uAxfQk1 Yes -1675 MIDL Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation 2023.0 https://openreview.net/pdf?id=u0MHV19E2n https://github.com/SLDGroup/MERIT Yes Yes Yes Yes Yes Yes No -1676 MIDL A comparative evaluation of image-to-image translation methods for stain transfer in histopathology 2023.0 https://openreview.net/pdf?id=leVAXRDthXI https://github.com/Boehringer-Ingelheim/stain-transfer No Yes No Yes Yes Yes BSD 2 -1677 MIDL FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays 2023.0 https://openreview.net/pdf?id=wiN5LQThnIV Yes -1678 MIDL Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis 2023.0 https://openreview.net/pdf?id=Pd4_U5ZzEY Yes -1679 MIDL Federated Cross Learning for Medical Image Segmentation 2023.0 https://openreview.net/pdf?id=DrZbwobH_zo https://github.com/DIAL-RPI/FedCross Yes No Yes Yes No Yes No -1680 MIDL SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction 2023.0 https://openreview.net/pdf?id=j6GZ2IEia_E https://github.com/GayathriMatcha/SFT-KD-Recon Yes Yes Yes Yes No Yes CC0 1.0 -1681 MIDL Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis 2023.0 https://openreview.net/pdf?id=uZl3yA2dBt https://github.com/MASILab/RandomWalkSlidingWindow No No No No No No No -1682 MIDL Radiology Reports Improve Visual Representations Learned from Radiographs 2023.0 https://openreview.net/pdf?id=S9EfOVFJIxQh https://github.com/denizlab/MIMICCXR-MultiModal-SelfSupervision Yes Yes Yes Yes No Yes GPL 3.0 -1683 MIDL TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing 2023.0 https://openreview.net/pdf?id=-8mexJCWH_- https://github.com/DebeshJha/TransNetR Yes No Yes Yes No No MIT -1684 MIDL DBGSL: Dynamic Brain Graph Structure Learning 2023.0 https://openreview.net/pdf?id=Us31horKNLG https://github.com/ajrcampbell/dynamic-brain-graph-structure-learning Yes No No No No No MIT -1685 MIDL Improved multi-site Parkinson's disease classification using neuroimaging data with counterfactual inference 2023.0 https://openreview.net/pdf?id=l4LDtGb8zL Yes -1686 MIDL Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints 2023.0 https://openreview.net/pdf?id=MIHF_buWGUQ https://github.com/RoelvH97/ContrastGAN No No Yes Yes No No MIT -1687 MIDL Reproducibility of Training Deep Learning Models for Medical Image Analysis 2023.0 https://openreview.net/pdf?id=MR01DcGST9 Yes -1688 MIDL ST(OR)$^2$: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room 2023.0 https://openreview.net/pdf?id=C6EJi0SS7j Yes -1689 MIDL Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction 2023.0 https://openreview.net/pdf?id=9mPSPWo5tzu Yes -1690 MIDL Automatic Patient-level Diagnosis of Prostate Disease with Fused 3D MRI and Tabular Clinical Data 2023.0 https://openreview.net/pdf?id=Oji7tGC4oI No -1691 MIDL Calibration techniques for node classification using graph neural networks on medical image data 2023.0 https://openreview.net/pdf?id=xY3agyj5Eq https://github.com/irisnadinevos/cora-calibration-techniques Yes Yes Yes Yes Yes No MIT -1692 MIDL Addressing Chest Radiograph Projection Bias in Deep Classification Models 2023.0 https://openreview.net/pdf?id=k8K2zEiv_m Yes -1693 MIDL Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training 2023.0 https://openreview.net/pdf?id=uZ1SVZgEJ02 https://github.com/Katalip/ca-stinv-cnn Yes Yes Yes Yes No Yes MIT -1694 MIDL Prior Guided 3D Medical Image Landmark Localization 2023.0 https://openreview.net/pdf?id=Ae1KAltzEd https://github.com/pang-yi-jie/MIDL2023_landmark Yes Yes No No No Yes No -1695 MIDL Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context 2023.0 https://openreview.net/pdf?id=TelM2TBYgoA https://github.com/MASILab/cornn_tractography Yes Yes No Yes Yes Yes No -1696 MIDL Automatic 3D/2D Deformable Registration in Minimally Invasive Liver Resection using a Mesh Recovery Network 2023.0 https://openreview.net/pdf?id=nG87JqzSMc Yes -1697 MIDL Few Shot Hematopoietic Cell Classification 2023.0 https://openreview.net/pdf?id=9yTSJIb5t_Z https://github.com/cvlab-stonybrook/hematopoiesis-relationvae No No No No No No No -1698 MIDL Spatial Correspondence between Graph Neural Network-Segmented Images 2023.0 https://openreview.net/pdf?id=d7J0IiMqcZd Yes -1699 MIDL Considerations for data acquisition and modeling strategies: Mitosis detection in computational pathology 2023.0 https://openreview.net/pdf?id=RyV4J_PjNv Yes -1700 MIDL Multi PILOT: Feasible Learned Multiple Acquisition Trajectories For Dynamic MRI 2023.0 https://openreview.net/pdf?id=NXPLq6w___ https://github.com/tamirshor7/MultiPILOT Yes Yes Yes Yes No Yes No -1701 MIDL Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI 2023.0 https://openreview.net/pdf?id=O-uZr5S1tJE https://github.com/FinnBehrendt/patched-Diffusion-Models-UAD Yes Yes Yes Yes No Yes No -1702 MIDL Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision 2023.0 https://openreview.net/pdf?id=WjrcYNTPunQ https://github.com/podismine/IncompleteModality Yes No No No No No No -1703 MIDL MultiTask Learning for accelerated-MRI Reconstruction and Segmentation of Brain Lesions in Multiple Sclerosis 2023.0 https://openreview.net/pdf?id=ci2Fg31H0T xxxxx No No No No No No No -1704 MIDL Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation 2023.0 https://openreview.net/pdf?id=aZ0OuYMSMMZ https://github.com/rajpurkarlab/X-REM Yes Yes Yes Yes Yes Yes No -1705 MIDL Whole brain radiomics for clustered federated personalization in brain tumor segmentation 2023.0 https://openreview.net/pdf?id=1CyXExO15K https://github.com/MatthisManthe/radiomics_CFFL Yes No No No No No No -1706 MIDL Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals 2023.0 https://openreview.net/pdf?id=OpmQOkfizzM https://github.com/ss-sun/Attri-Net Yes Yes Yes Yes No Yes No -1707 MIDL Metadata-guided Consistency Learning for High Content Images 2023.0 https://openreview.net/pdf?id=PzzhiSNnyF8 https://github.com/cfredinh/CDCL Yes Yes Yes Yes No Yes No -1708 MIDL Semantic Segmentation of 3D Medical Images Through a Kaleidoscope: Data from the Osteoarthritis Initiative 2023.0 https://openreview.net/pdf?id=80ZHtBKHKHo Yes -1709 MIDL Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes 2023.0 https://openreview.net/pdf?id=J4JWTCq14u Yes -1710 MIDL Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data 2023.0 https://openreview.net/pdf?id=BF4NpwMuei https://github.com/wollf2008/FW-RD Yes Yes Yes Yes No Yes MIT -1711 MIDL Joint cortical registration of geometry and function using semi-supervised learning 2023.0 https://openreview.net/pdf?id=n9v_BuIcY7G https://github.com/voxelmorph/voxelmorph Yes Yes Yes Yes Yes Yes Apache 2.0 -1712 MIDL MEDIMP: 3D Medical Images with clinical Prompts from limited tabular data for renal transplantation 2023.0 https://openreview.net/pdf?id=jt-ochRhqG https://github.com/leomlck/MEDIMP No Yes Yes Yes Yes Yes MIT -1713 MIDL Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images 2023.0 https://openreview.net/pdf?id=JZBNeVLAqp https://github.com/mazurowski-lab/MRI-IAP-prediction Yes No Yes Yes No Yes MIT -1714 MIDL 3D Medical Axial Transformer: A Lightweight Transformer Model for 3D Brain Tumor Segmentation 2023.0 https://openreview.net/pdf?id=PX-jt92kQUM https://github.com/AsukaDaisuki/MAT Yes Yes Yes Yes No Yes No -1715 MIDL Video pretraining advances 3D deep learning on chest CT tasks 2023.0 https://openreview.net/pdf?id=zhpP7zluLBk https://github.com/rajpurkarlab/chest-ct-pretraining Yes Yes Yes Yes No Yes Apache 2.0 -1716 MIDL MTSR-MRI: Combined Modality Translation and Super-Resolution of Magnetic Resonance Images 2023.0 https://openreview.net/pdf?id=mUPIsk20oGt https://github.com/AvirupJU/MTSR-MRI Yes No Yes Yes No No No -1717 MIDL Deformable Image Registration with Geometry-informed Implicit Neural Representations 2023.0 https://openreview.net/pdf?id=Pj9vtDIzSCE https://github.com/Louisvh/tangent_INR_registration_3D No No Yes Yes No Yes MIT -1718 MIDL DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification 2023.0 https://openreview.net/pdf?id=i5khDI1te1M No -1719 MIDL Rotation-Scale Equivariant Steerable Filters 2023.0 https://openreview.net/pdf?id=A0MyiAwE_E4 https://github.com/ynulonger/RSESF Yes Yes Yes Yes No No No -1720 MIDL ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations 2023.0 https://openreview.net/pdf?id=2Aoi0VKPOWT https://github.com/chinmay5/vit_ae_plus_plus Yes Yes Yes Yes Yes Yes CCO-1.0 -1721 MIDL Domain Adaptation using Silver Standard Labels for Ki-67 Scoring in Digital Pathology A Step Closer to Widescale Deployment 2023.0 https://openreview.net/pdf?id=-ahfrpMo9ui No -1722 MIDL A Robust Mean Teacher Framework for Semi-Supervised Cell Detection in Histopathology Images 2023.0 https://openreview.net/pdf?id=PEWigppmw3b Yes -1723 MIDL SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction 2023.0 https://openreview.net/pdf?id=ivC7VP2mof https://github.com/educating-dip/svd_dip Yes No Yes Yes No No No -1724 MIDL Reference-based MRI Reconstruction Using Texture Transformer 2023.0 https://openreview.net/pdf?id=EoEWcHFHJ1W Yes -1725 MIDL On-the-Fly Test-time Adaptation for Medical Image Segmentation 2023.0 https://openreview.net/pdf?id=UQDalTzrEg https://github.com/jeya-maria-jose/On-The-Fly-Adaptation Yes Yes Yes Yes Yes Yes MIT -1726 MIDL Robust Detection Outcome: A Metric for Pathology Detection in Medical Images 2023.0 https://openreview.net/pdf?id=zyiJi4sJ7dZ https://github.com/FeliMe/RoDeO Yes Yes Yes Yes MIT -1727 MIDL Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing 2023.0 https://openreview.net/pdf?id=neXqIGpO-tn https://github.com/FlorentinBieder/PatchDDM-3D Yes No Yes Yes No Yes Apache 2.0 -1728 MIDL Diffusion Models for Contrast Harmonization of Magnetic Resonance Images 2023.0 https://openreview.net/pdf?id=Xs_Hd23_PP https://github.com/AliciaDurrer/dm_moni_mr No Yes Yes Yes No Yes MIT -1729 MIDL Making Your First Choice: To Address Cold Start Problem in Medical Active Learning 2023.0 https://openreview.net/pdf?id=5iSBMWm3ln https://github.com/cliangyu/CSVAL Yes Yes Yes Yes No Yes MIT -1730 MIDL Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning 2023.0 https://openreview.net/pdf?id=m-f1SNDhde https://github.com/AstraZeneca/ibd-interpret Yes Yes Yes Yes No No No -1731 MIDL Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation 2024.0 https://openreview.net/pdf?id=CTJ5ERXOYE No -1732 MIDL Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification 2024.0 https://openreview.net/pdf?id=EWbMmmQnVy https://github.com/icrto/peft-nles Yes No No No No No No -1733 MIDL Beyond Structured Attributes: Image-Based Predictive Trends for Chest X-Ray Classification 2024.0 https://openreview.net/pdf?id=Y15taNvfFN https://github.com/lotterlab/xray_generalization Yes No No No No No No -1734 MIDL IHCScoreGAN: An unsupervised generative adversarial network for end-to-end ki67 scoring for clinical breast cancer diagnosis 2024.0 https://openreview.net/pdf?id=U3vfFn9WQ7 https://github.com/WenchaoHan0718/IHCScoreGAN Yes No No No No No No -1735 MIDL DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations 2024.0 https://openreview.net/pdf?id=M6CfJ5H7XH https://github.com/NimaFathi/DeCoDEx Yes Yes Yes Yes No Yes No -1736 MIDL Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation 2024.0 https://openreview.net/pdf?id=z0r388Sbv3 https://github.com/WenTXuL/MultiUnet Yes No No No No No No -1737 MIDL An unexpected confounder: how brain shape can be used to classify MRI scans ? 2024.0 https://openreview.net/pdf?id=Hb0U9lED4N Yes -1738 MIDL HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology 2024.0 https://openreview.net/pdf?id=3vmB43oqIO https://github.com/digitalpathologybern/hover_next_inference Yes Yes Yes Yes Yes Yes GPL-3.0 -1739 MIDL Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Cardiac Digital Twins 2024.0 https://openreview.net/pdf?id=hV2WtoJKGp https://github.com/pcmlab/AF_ablation_DT.git No Yes Yes Yes No Yes No -1740 MIDL Detecting Brain Anomalies in Clinical Routine with the $\beta$-VAE: Feasibility Study on Age-Related White Matter Hyperintensities 2024.0 https://openreview.net/pdf?id=YFfOvLf2T1 Yes -1741 MIDL Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs 2024.0 https://openreview.net/pdf?id=iWfUcg4FrD https://github.com/FinnBehrendt/Supervised-Anomaly-Detection-with-Diffusion-Models Yes No No No No Yes No -1742 MIDL FluidRegNet: Longitudinal registration of retinal OCT images with new pathological fluids 2024.0 https://openreview.net/pdf?id=RsP618PEFF No -1743 MIDL Predicting Age-related Macular Degeneration Progression from Retinal Optical Coherence Tomography with Intra-Subject Temporal Consistency 2024.0 https://openreview.net/pdf?id=x7EqWCyO5X https://github.com/arunava555/Multihead_GRU_ODE_based_Survival_Analysis No No Yes No No No No -1744 MIDL Re-DiffiNet: Modeling discrepancy in tumor segmentation using diffusion models 2024.0 https://openreview.net/pdf?id=vCEMidGVbv https://github.com/KurtLabUW/Re-DiffiNet.git Yes Yes Yes Yes No Yes No -1745 MIDL Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations 2024.0 https://openreview.net/pdf?id=LpUNSwHp0O https://github.com/UM2ii/HiddenInPlainSight Yes Yes Yes Yes No Yes MIT -1746 MIDL Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders 2024.0 https://openreview.net/pdf?id=9G7ZEYHLVJ https://github.com/metrics-lab/surface-masked-autoencoders Yes No No No No No No -1747 MIDL Evaluating Age-Related Anatomical Consistency in Synthetic Brain MRI against Real-World Alzheimer's Disease Data. 2024.0 https://openreview.net/pdf?id=h1YFt5erJ7 https://github.com/hsyassin/BioPlausibleSynthImgEval.git Yes Yes Yes Yes No Yes No -1748 MIDL Generating Cerebral Vessel Trees of Acute Ischemic Stroke Patients using Conditional Set-Diffusion 2024.0 https://openreview.net/pdf?id=2IwCwawQH4 https://github.com/ThijsKuipers1995/vessel_diffusion No No Yes Yes No GPL-3.0 -1749 MIDL Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models 2024.0 https://openreview.net/pdf?id=sN3sDKkGeN https://github.com/naamiinepal/medvlsm Yes Yes Yes Yes Yes Yes MIT -1750 MIDL Network conditioning for synergistic learning on partial annotations 2024.0 https://openreview.net/pdf?id=sfjgmuvLS7 https://github.com/BBillot/CoNeMOS No Yes Yes Yes No Yes Apache-2.0 -1751 MIDL The Multiscale Surface Vision Transformer 2024.0 https://openreview.net/pdf?id=jeLDTCFltu https://github.com/metrics-lab/surface-vision-transformers Yes Yes Yes Yes No Yes No -1752 MIDL [Citation needed] Data usage and citation practices in medical imaging conferences 2024.0 https://openreview.net/pdf?id=gFIepubv7E Yes -1753 MIDL Medical diffusion on a budget: Textual Inversion for medical image generation 2024.0 https://openreview.net/pdf?id=J0zEnfU3Ow https://github.com/brambozz/medical-diffusion-on-a-budget Yes Yes Yes Yes Yes Yes MIT -1754 MIDL Accelerating physics-informed neural fields for fast CT perfusion analysis in acute ischemic stroke 2024.0 https://openreview.net/pdf?id=lV1NJ8S55g Yes -1755 MIDL Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation 2024.0 https://openreview.net/pdf?id=rVx9DiR5Ha https://github.com/zhangye-zoe/BASS Yes Yes Yes Yes No Yes No -1756 MIDL Semi-Supervised Segmentation via Embedding Matching 2024.0 https://openreview.net/pdf?id=xkqLQoFQbl No -1757 MIDL Slide-SAM: Medical SAM Meets Sliding Window 2024.0 https://openreview.net/pdf?id=LNdU9RTv3L https://github.com/Curli-quan/Slide-SAM Yes Yes Yes Yes Yes Yes Apache-2.0 -1758 MIDL Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training 2024.0 https://openreview.net/pdf?id=8vtxQoxPCC https://github.com/Project-MONAI/research-contributions/tree/main/DAE Yes Yes Yes Yes Yes Yes Apache-2.0 -1759 MIDL ThickV-Stain: Unprocessed Thick Tissues Virtual Staining for Rapid Intraoperative Histology 2024.0 https://openreview.net/pdf?id=X8Rh7gLtDu https://github.com/TABLAB-HKUST/ThickV-Stain No Yes Yes Yes Yes Yes BSD -1760 MIDL Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor to Estimate Dosimetric Impact of Segmentation Variations for Radiotherapy 2024.0 https://openreview.net/pdf?id=SlMMyPqQTm https://github.com/ubern-mia/radonc-vs-dldp No Yes No Yes No No -1761 MIDL ICL-SAM: Synergizing In-context Learning Model and SAM in Medical Image Segmentation 2024.0 https://openreview.net/pdf?id=Y1BeK8dTno Yes -1762 MIDL From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data 2024.0 https://openreview.net/pdf?id=7iW2nuL2lS https://github.com/ai-med/TripletTraining Yes Yes Yes Yes No Yes GPL-3.0 -1763 MIDL Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity 2024.0 https://openreview.net/pdf?id=LVRhXa0q5r Yes -1764 MIDL IST-editing: Infinite spatial transcriptomic editing in a generated gigapixel mouse pup 2024.0 https://openreview.net/pdf?id=9pBGVsHdzL https://github.com/CTPLab/IST-editing Yes Yes Yes Yes No Yes MIT -1765 MIDL Efficiently correcting patch-based segmentation errors to control image-level performance in retinal images 2024.0 https://openreview.net/pdf?id=DDHRGHfwji https://github.com/berenslab/MIDL24-segmentation_quality_control Yes Yes Yes Yes Yes Yes No -1766 MIDL SINR: Spline-enhanced implicit neural representation for multi-modal registration 2024.0 https://openreview.net/pdf?id=V5XDYSRcQP https://github.com/vasl12/SINR.git Yes Yes Yes No No Yes No -1767 MIDL Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation 2024.0 https://openreview.net/pdf?id=xHNTAKhY2W https://github.com/lennart-maack/Efficient-Anatomy-Segmentation-w-Multi-Teacher-KD Yes No No No No No No -1768 MIDL Learned morphological features guide cell type assignment of deconvolved spatial transcriptomics 2024.0 https://openreview.net/pdf?id=QfYXJUmIit https://github.com/eduardchelebian/mhast Yes Yes Yes Yes Yes Apache-2.0 -1769 MIDL Ano-swinMAE: Unsupervised Anomaly Detection in Brain MRI using swin Transformer based Masked Auto Encoder 2024.0 https://openreview.net/pdf?id=4uqpqIoQVA https://github.com/rashmi05pathak/Ano-swinMAE Yes Yes Yes Yes Yes No No -1770 MIDL Train Once, Deploy Anywhere: Edge-Guided Single-source Domain Generalization for Medical Image Segmentation 2024.0 https://openreview.net/pdf?id=iefmK5E2N6 https://github.com/thinkdifferentor/EGSDG Yes No No No No No MIT -1771 MIDL Improving Identically Distributed and Out-of-Distribution Medical Image Classification with Segmentation-Guided Attention in Small Dataset Scenarios 2024.0 https://openreview.net/pdf?id=YUtcFW5xRt https://github.com/MeriDK/segmentation-guided-attention No Yes Yes Yes Yes No No -1772 MIDL Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation 2024.0 https://openreview.net/pdf?id=mx63yXRHzY https://github.com/AwesomeLemon/HyFree-S3 Yes Yes Yes Yes No Yes No -1773 MIDL Distance-Aware Non-IID Federated Learning for Generalization and Personalization in Medical Imaging Segmentation 2024.0 https://openreview.net/pdf?id=uJc5fugAwG Yes -1774 MIDL Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimation 2024.0 https://openreview.net/pdf?id=aVI08wOu03 No -1775 MIDL Automated ranking of chest x-ray radiological finding severity in a binary label setting 2024.0 https://openreview.net/pdf?id=CCvRaXpMH7 No -1776 MIDL There Are No Shortcuts to Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image Analysis 2024.0 https://openreview.net/pdf?id=3UMzxqDcpY Yes -1777 MIDL Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains 2024.0 https://openreview.net/pdf?id=0qf8B7KTKR No -1778 MIDL Real-time MR-based 3D motion monitoring using raw k-space data 2024.0 https://openreview.net/pdf?id=7QIF3J6Buv Yes -1779 MIDL ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities 2024.0 https://openreview.net/pdf?id=WDZg4P97gr https://github.com/jumdc/ADAPT.git Yes Yes Yes Yes No Yes MIT -1780 MIDL Structure Size as Confounder in Uncertainty Based Segmentation Quality Prediction 2024.0 https://openreview.net/pdf?id=cRfg2vho5K No -1781 MIDL FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising 2024.0 https://openreview.net/pdf?id=Zg0mfl10o2 https://github.com/xuhang2019/FedFDD Yes No Yes Yes No Yes No -1782 MIDL Implicit neural compression for privacy preserving medical image sharing 2024.0 https://openreview.net/pdf?id=Q5CTUZHp5U https://github.com/mattiaspaul/neuralObfuscation Yes Yes Yes Yes No Yes MIT -1783 MIDL Registration Quality Evaluation Metric with Self-Supervised Siamese Networks 2024.0 https://openreview.net/pdf?id=2wrQLJtygh Yes -1784 MIDL Unsupervised Deep Learning Method for Bias Correction 2024.0 https://openreview.net/pdf?id=q9OpRfSjSw Yes -1785 MIDL Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions 2024.0 https://openreview.net/pdf?id=W9AInb1Dju https://github.com/niazoys/RLS_PSDF Yes No No No No No No -1786 MIDL Reducing Uncertainty in 3D Medical Image Segmentation under Limited Annotations through Contrastive Learning 2024.0 https://openreview.net/pdf?id=2iQI8lVoe9 https://github.com/xmindflow/uncertainty3D Yes No No No No No No -1787 MIDL Analysis of Transformers for Medical Image Retrieval 2024.0 https://openreview.net/pdf?id=7w5IHAybj3 Yes -1788 MIDL Video-CT MAE: Self-supervised Video-CT Domain Adaptation for Vertebral Fracture Diagnosis 2024.0 https://openreview.net/pdf?id=shuwpLaOJP https://github.com/lbuess/Video-CT_MAE Yes Yes Yes Yes Yes Yes Creative Commons - 4.0 -1789 MIDL Zero-Shot Medical Image Segmentation Based on Sparse Prompt Using Finetuned SAM 2024.0 https://openreview.net/pdf?id=TEYGCx02p3 https://github.com/talshaharabany/ZeroShotSAM Yes No Yes No Yes Yes No -1790 MIDL A Patch-based Student-Teacher Pyramid Matching Approach to Anomaly Detection in 3D Magnetic Resonance Imaging 2024.0 https://openreview.net/pdf?id=vh01Nd5PCl https://github.com/johannesSX/3D-STFPM-3DSSPL-ACS Yes Yes Yes Yes No Yes No -1791 MIDL Evaluating ChatGPT's Performance in Generating and Assessing Dutch Radiology Report Impressions 2024.0 https://openreview.net/pdf?id=VDvv7NJG9b No -1792 MIDL Multi-scale Stochastic Generation of Labelled Microscopy Images for Neuron Segmentation 2024.0 https://openreview.net/pdf?id=orE18Wdgbj https://github.com/BrainImageAnalysis/Multi-scale-cGAN Yes No Yes Yes No Yes No -1793 MIDL Advancing Multiplex Immunofluorescence Imaging Cell Detection using Semi-Supervised Learning with Pseudo-Labeling 2024.0 https://openreview.net/pdf?id=RabL0WcGHo https://github.com/idso-fa1-pathology/semi-supervised-cell-detection Yes Yes Yes Yes Yes Yes MIT -1794 MIDL Multi-Objective Learning for Deformable Image Registration 2024.0 https://openreview.net/pdf?id=FVUeDnd2uS https://github.com/monikagrewal/DL-MODIR/tree/public No No Yes Yes No Yes Creative Commons - 4.0 -1795 MIDL Semi-supervised learning with Noisy Students improves domain generalization in optic disc and cup segmentation in uncropped fundus images 2024.0 https://openreview.net/pdf?id=Wcb6Wynz3e https://github.com/eugeniaMoris/Noisy_student_ODOC_MIDL_2024 Yes No No No No Yes No -1796 MIDL Skin Malignancy Classification Using Patients’ Skin Images and Meta-data: Multimodal Fusion for Improving Fairness 2024.0 https://openreview.net/pdf?id=5TWfxGVFWc https://github.com/DDI-Dataset/DDI-Code Yes No Yes Yes Yes Yes No -1797 MIDL Multimodal Image Registration Guided by Few Segmentations from One Modality 2024.0 https://openreview.net/pdf?id=cRmz96uGD6 https://github.com/uncbiag/SegGuidedMMReg Yes Yes Yes Yes No Yes BSD -1798 MIDL Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction 2024.0 https://openreview.net/pdf?id=FmCscsj7Ey https://github.com/YuyangXueEd/ReconUnlearning Yes Yes Yes Yes Yes Yes No -1799 MIDL VariViT: A Vision Transformer for Variable Image Sizes 2024.0 https://openreview.net/pdf?id=uoRbMNoZ7w https://github.com/Aswathi-Varma/varivit Yes Yes Yes No No Yes No -1800 MIDL Nuclei Segmentation in Histopathological Images with Enhanced U-Net3+ 2024.0 https://openreview.net/pdf?id=263qZjQ2xC Yes -1801 MIDL A Comprehensive Benchmark of Supervised and Self-supervised Pre-training on Multi-view Chest X-ray Classification 2024.0 https://openreview.net/pdf?id=YUMVjxdIqn Yes -1802 MIDL Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies 2024.0 https://openreview.net/pdf?id=eKKWGE5hgF https://github.com/noumannahmad/dr_3slice_ct Yes No No No No No No -1803 MIDL Imbalance-aware loss functions improve medical image classification 2024.0 https://openreview.net/pdf?id=5Oiqw76ube https://github.com/daniel-scholz/address-class-imbalance Yes Yes No No -1804 MIDL Active Learning with the nnUNet and Sample Selection with Uncertainty-Aware Submodular Mutual Information Measure 2024.0 https://openreview.net/pdf?id=2yrhjc2iZl https://github.com/Berni1557/ALUNET Yes Yes Yes Yes No Yes MIT -1805 MIDL A recurrent network for segmenting the thrombus on brain MRI in patients with hyper-acute ischemic stroke 2024.0 https://openreview.net/pdf?id=mXAzv35dnm Yes -1806 MIDL MFIF-Net: A Multi-Focal Image Fusion Network for Implantation Outcome Prediction of Blastocyst 2024.0 https://openreview.net/pdf?id=JExWRXgZIu No -1807 MIDL Improving CNN-Based Mitosis Detection through Rescanning Annotated Glass Slides and Atypical Mitosis Subtyping 2024.0 https://openreview.net/pdf?id=00gWBAAbMI Yes -1808 MIDL Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation 2024.0 https://openreview.net/pdf?id=Ywu8wb2wuH No -1809 MIDL Lupus Nephritis Subtype Classification with only Slide Level Labels 2024.0 https://openreview.net/pdf?id=c1AfNZoSyQ https://github.com/CancerDiag/LupusNet Yes Yes Yes Yes No No GPLv3 -1810 MIDL Cell-DETR: Efficient cell detection and classification in WSIs with transformers 2024.0 https://openreview.net/pdf?id=H4KbJlAHuq Yes -1811 MIDL SepVAE: a contrastive VAE to separate pathological patterns from healthy ones 2024.0 https://openreview.net/pdf?id=yLySzM5yxs https://github.com/neurospin-projects/2023_rlouiset_sepvae/ Yes No No No No No No -1812 MIDL Towards a Collective Medical Imaging AI: Enabling Continual Learning from Peers 2024.0 https://openreview.net/pdf?id=FbM7sDDAZ4 https://github.com/vishwaparekh/ADFLL Yes Yes Yes Yes No Yes No -1813 MIDL Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation 2024.0 https://openreview.net/pdf?id=gHCo43zcDm https://github.com/stanfordmlgroup/Auto-Generate-WLs/ Yes Yes Yes Yes Yes Yes MIT -1814 MIDL Conditional Generation of 3D Brain Tumor Regions via VQGAN and Temporal-Agnostic Masked Transformer 2024.0 https://openreview.net/pdf?id=LLoSHPorlM Yes -1815 MIDL ASMR: Angular Support for Malfunctioning Client Resilience in Federated Learning 2024.0 https://openreview.net/pdf?id=nqM0lZMevc https://github.com/MECLabTUDA/ASMR Yes Yes Yes No Yes Yes MIT -1816 MIDL Predicting DNA Content Abnormalities in Barrett’s Esophagus: A Weakly Supervised Learning Paradigm 2024.0 https://openreview.net/pdf?id=V9H32U1c87 Yes -1817 MIDL Self-supervised pretraining in the wild imparts image acquisition robustness to medical image transformers: an application to lung cancer segmentation 2024.0 https://openreview.net/pdf?id=G9Te2IevNm https://github.com/The-Veeraraghavan-Lab/CTRobust_Transformers.git Yes No No No No No No -1818 MIDL HARP: Unsupervised Histopathology Artifact Restoration 2024.0 https://openreview.net/pdf?id=bVunbe4hoV https://github.com/MECLabTUDA/HARP Yes Yes Yes Yes Yes Yes CC-BY-4.0 -1819 MIDL Annotation-Efficient Strategy for Segmentation of 3D Body Composition 2024.0 https://openreview.net/pdf?id=OzhonBbVAn Yes -1820 MIDL Deep blind arterial input function: signal correction in perfusion cardiac magnetic resonance 2024.0 https://openreview.net/pdf?id=Ko7BwrNuzG No -1821 MIDL NcIEMIL: Rethinking Decoupled Multiple Instance Learning Framework for Histopathological Slide Classification 2024.0 https://openreview.net/pdf?id=1GxyidfQzc https://github.com/polyethylene16/NcIEMIL Yes No No No No No No -1822 MIDL Laparoflow-SSL: Image Analysis From a Tiny Dataset Through Self-Supervised Transformers Leveraging Unlabeled Surgical Video 2024.0 https://openreview.net/pdf?id=YN4aoXelxg Yes -1823 MIDL Style Randomization Improves the Robustness of Breast Density Estimation in MR Images 2024.0 https://openreview.net/pdf?id=PhU50PjrtQ Yes -1824 MIDL Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays 2024.0 https://openreview.net/pdf?id=QTFVYcV92b https://github.com/yjch00/PLURAL Yes Yes Yes Yes Yes Yes Apache-2.0 -1825 MIDL OFELIA: Optical Flow-based Electrode LocalIzAtion 2024.0 https://openreview.net/pdf?id=8245ExLB4I No -1826 MIDL RADR: A Robust Domain-Adversarial-based Framework for Automated Diabetic Retinopathy Severity Classification 2024.0 https://openreview.net/pdf?id=2Q3mTp6a6T Yes -1827 MIDL GazeDiff: A radiologist visual attention guided diffusion model for zero-shot disease classification 2024.0 https://openreview.net/pdf?id=sUbcVVy8IU https://github.com/lordmoinak1/GazeDiff Yes No No No No No No -1828 MIDL Video Polyp Segmentation using Implicit Networks 2024.0 https://openreview.net/pdf?id=7gFODPjwOe https://github.com/AviadDahan/VPS-implicit Yes No No No No No No -1829 MIDL Dense Self-Supervised Learning for Medical Image Segmentation 2024.0 https://openreview.net/pdf?id=SHVeWY9fJ1 https://github.com/pix2rep/pix2rep Yes No No No No No Apache-2.0 -1830 MIDL Joint Motion Estimation with Geometric Deformation Correction for Fetal Echo Planar Images Via Deep Learning 2024.0 https://openreview.net/pdf?id=MjoaKfhrzU https://github.com/bchimagine/JointMotionTracking No No No No No No No -1831 MIDL Resolution and Field of View Invariant Generative Modelling with Latent Diffusion Models 2024.0 https://openreview.net/pdf?id=VHfh2J8MQ6 Yes -1832 MIDL Anomaly-focused Single Image Super-resolution with Artifact Removal for Chest X-rays using Distribution-aware Diffusion Model 2024.0 https://openreview.net/pdf?id=Lk5e05rXMI https://github.com/Datta-IITJ/MIDL_code.git Yes No Yes Yes No No No -1833 MIDL Training-free Prompt Placement by Propagation for SAM Predictions in Bone CT Scans 2024.0 https://openreview.net/pdf?id=F6rhgpGkAy https://github.com/CarolineMagg/SAM-Prompt-Placement-by-Propagation Yes Yes Yes Yes Yes Yes No -1834 MIDL MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models 2024.0 https://openreview.net/pdf?id=inACgoTK0O https://anonymous.4open.science/r/MultiMedEval-C780 Yes Yes Yes Yes No Yes MIT -1835 MIDL Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation 2024.0 https://openreview.net/pdf?id=5D71lHj9HZ https://github.com/jessie-chen99/Med-Tuning-Official Yes Yes Yes Yes Yes Yes Apache-2.0 -1836 MIDL Deformation-aware GAN for Medical Image Synthesis with Substantially Misaligned Pairs 2024.0 https://openreview.net/pdf?id=2iAsI3SZ8C Yes -1837 MIDL Heterogeneous Medical Data Integration with Multi-Source StyleGAN 2024.0 https://openreview.net/pdf?id=IB12ECdJ3a https://github.com/weslai/msstylegans Yes Yes Yes Yes No Yes MIT -1838 MIDL PAAN: Pyramid Attention Augmented Network for polyp segmentation 2024.0 https://openreview.net/pdf?id=sz9baxSuxF Yes -1839 MIDL Diffusion X-ray image denoising 2024.0 https://openreview.net/pdf?id=1eSuIPZ1cf No -1840 MIDL UnCLe SAM: Unleashing SAM’s Potential for Continual Prostate MRI Segmentation 2024.0 https://openreview.net/pdf?id=jRtUQ2VnNi https://github.com/MECLabTUDA/UnCLeSAM/ Yes Yes Yes Yes Yes Yes Apache-2.0 -1841 MIDL Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach 2024.0 https://openreview.net/pdf?id=kcbAZwxCFV https://github.com/annawundram/glaucoma-diagnosis-pipeline Yes Yes Yes Yes No Yes No -1842 MIDL Shape of my heart: Cardiac models through learned signed distance functions 2024.0 https://openreview.net/pdf?id=JtoixYZn74 Yes -1843 MIDL DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery 2024.0 https://openreview.net/pdf?id=1vUli5JSrr https://github.com/JoJoNing25/DDAug Yes No Yes Yes Yes Yes MIT -1844 MIDL Unsupervised Domain Adaptation of Brain MRI Skull Stripping Trained on Adult Data to Newborns: Combining Synthetic Data with Domain Invariant Features 2024.0 https://openreview.net/pdf?id=vu4LsiSpf7 https://github.com/abbasomidi77/GMM-Enhanced-DAUnet Yes No Yes Yes No Yes MIT -1845 MIDL REINDIR: Repeated Embedding Infusion for Neural Deformable Image Registration 2024.0 https://openreview.net/pdf?id=lemBHfGNZD Yes -1846 MIDL Target and task specific source-free domain adaptive image segmentation 2024.0 https://openreview.net/pdf?id=Ym30gCtKqN https://github.com/Vibashan/tt-sfuda Yes Yes Yes Yes Yes Yes No -1847 MIDL UltraMAE: Multi-modal Masked Autoencoder for Ultrasound Pre-training 2024.0 https://openreview.net/pdf?id=NrlGzhFgKj Yes -1848 Nature Artificial intelligence pinpoints nine different abnormalities in head scans 2018.0 No -1849 Nature New video tool peers deeply into growing embryos 2019.0 No -1850 Nature US biomedical and medical research under the Trump administration 2020.0 No -1851 Nature AI to expand the reach of oncology trials 2021.0 No -1852 Nature A safer way to share health 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Nature Medicine 2009.0 No -1891 Nature Major histocompatibility complex genotyping with massively parallel pyrosequencing | Nature Medicine 2009.0 No -1892 Nature Reducing endoplasmic reticulum stress through a macrophage lipid chaperone alleviates atherosclerosis | Nature Medicine 2009.0 No -1893 Nature Mosaic vaccines elicit CD8+ T lymphocyte responses that confer enhanced immune coverage of diverse HIV strains in monkeys | Nature Medicine 2010.0 No -1894 Nature Monoclonal antibody targeting of N-cadherin inhibits prostate cancer growth, metastasis and castration resistance | Nature Medicine 2010.0 No -1895 Nature Severe pandemic 2009 H1N1 influenza disease due to pathogenic immune complexes | Nature Medicine 2010.0 No -1896 Nature Histamine deficiency promotes inflammation-associated carcinogenesis through reduced myeloid maturation and accumulation of CD11b+Ly6G+ immature myeloid cells | Nature Medicine 2010.0 No -1897 Nature A multistage tuberculosis vaccine that confers efficient 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Medicine 1997.0 No -1997 Nature Mac-1 (CD11b/CD18) is an oligodeoxynucleotide-binding protein | Nature Medicine 1997.0 No -1998 Nature Xenotransplantation—caution, but no moratorium | Nature Medicine 1998.0 No -1999 Nature Reply 1 to “Xenotransplantation—caution, but no moratoriumâ€_x009d_ | Nature Medicine 1998.0 No -2000 Nature Reply 2 to “Xenotransplantation—caution, but no moratoriumâ€_x009d_ | Nature Medicine 1998.0 No -2001 Nature A variant of Alzheimer's disease with spastic paraparesis and unusual plaques due to deletion of exon 9 of presenilin 1 | Nature Medicine 1998.0 No -2002 Nature Whole recombinant yeast vaccine activates dendritic cells and elicits protective cell-mediated immunity | Nature Medicine 2001.0 No -2003 Nature Acute phase cytotoxic T lymphocyte escape is a hallmark of simian immunodeficiency virus infection | Nature Medicine 2002.0 No -2004 Nature A novel human immunoglobulin Fcγ–FcÉ› bifunctional fusion protein inhibits FcÉ›RI-mediated degranulation | Nature Medicine 2002.0 No -2005 Nature Genes for the Common Man | Nature Medicine 2004.0 No -2006 Nature Clinical center overhaul: Common cents? | Nature Medicine 1995.0 No -2007 Nature Italian medical association to curb assisted-reproduction practices | Nature Medicine 1995.0 No -2008 Nature Changes to European patent rules abandoned | Nature Medicine 1995.0 No -2009 Nature Human complement regulatory proteins protect swine-to-primate cardiac xenografts from humoral injury | Nature Medicine 1995.0 No -2010 Nature Immunoprophylaxis of allergen–induced immunoglobulin E synthesis and airway hyperresponsiveness in vivo by genetic immunization | Nature Medicine 1996.0 No -2011 Nature p53-dependent apoptosis suppresses radiation–induced teratogenesis | Nature Medicine 1996.0 No -2012 Nature Human leptin levels are pulsatile and inversely related to pituitary–ardenal function | Nature Medicine 1997.0 No -2013 Nature Gel microdrop technology for rapid isolation of rare and high producer cells | 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Medicine 1996.0 No -2038 Nature Who is really behind Clinton's AIDS Vaccine crusade? | Nature Medicine 1997.0 No -2039 Nature MRC shake up | Nature Medicine 1997.0 No -2040 Nature High plasma HDL concentrations associated with enhanced atherosclerosis in transgenic mice overexpressing lecithinchoesteryl acyltransferase | Nature Medicine 1997.0 No -2041 Nature A new human p53 homologue | Nature Medicine 1998.0 No -2042 Nature T lymphocytes with a normal ADA gene accumulate after transplantation of transduced autologous umbilical cord blood CD34+ cells in ADA-deficient SCID neonates | Nature Medicine 1998.0 No -2043 Nature Autoimmune disease: why and where it occurs | Nature Medicine 2001.0 No -2044 Nature Differential regulation of antiviral T-cell immunity results in stable CD8+ but declining CD4+ T-cell memory | Nature Medicine 2001.0 No -2045 Nature Inhibition of HIV-1 virion production by a transdominant mutant of integrase interactor 1 | Nature Medicine 2001.0 No -2046 Nature 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and inflammation as partners in crime | Nature Medicine 2002.0 No -2089 Nature Predictable response: Finding optimal drugs and doses using artificial intelligence | Nature Medicine 2017.0 No -2090 Nature Whether and when an AIDS vaccine? | Nature Medicine 1995.0 No -2091 Nature The role of a mutant CCR5 allele in HIV–1 transmission and disease progression | Nature Medicine 1996.0 No -2092 Nature A model of measles virus–induced immunosuppression: Enhanced susceptibility of neonatal human PBLs | Nature Medicine 1996.0 No -2093 Nature Antioxidants enhance the cytotoxicity of chemotherapeutic agents in colorectal cancer: A p53-independent induction of p21WAF1/CIP1 via C/EBPβ | Nature Medicine 1997.0 No -2094 Nature HIV-1 induction of CD40 on endothelial cells promotes the outgrowth of AIDS-associated B-cell lymphomas | Nature Medicine 1997.0 No -2095 Nature HIV-specific mucosal and cellular immunity in HIV-seronegative partners of HIV-seropositive individuals | Nature Medicine 1997.0 No 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viral load in gut reservoir and blood after mucosal infection of macaques | Nature Medicine 2001.0 No -2104 Nature HIV protease inhibitors protect apolipoprotein B from degradation by the proteasome: A potential mechanism for protease inhibitor-induced hyperlipidemia | Nature Medicine 2001.0 No -2105 Nature Epitope spreading initiates in the CNS in two mouse models of multiple sclerosis | Nature Medicine 2005.0 No -2106 Nature T cell vaccines for microbial infections | Nature Medicine 2005.0 No -2107 Nature Sex on the brain: Unraveling the differences between women and men in neurodegenerative disease | Nature Medicine 2016.0 No -2108 Nature A chimeric human-cat fusion protein blocks cat-induced allergy | Nature Medicine 2005.0 No -2109 Nature TLR activation triggers the rapid differentiation of monocytes into macrophages and dendritic cells | Nature Medicine 2005.0 No -2110 Nature Disabling poxvirus pathogenesis by inhibition of Abl-family tyrosine kinases | Nature Medicine 2005.0 No -2111 Nature In vivo fate of HIV-1-infected T cells: Quantitative analysis of the transition to stable latency | Nature Medicine 1995.0 No -2112 Nature Interleukin 1β and fever | Nature Medicine 1996.0 No -2113 Nature Vpx is required for dissemination and pathogenesis of SIVSM PBj: Evidence of macrophage-dependent viral amplification | Nature Medicine 1998.0 No -2114 Nature Restoration of immunity in lymphopenic individuals with cancer by vaccination and adoptive T-cell transfer | Nature Medicine 2005.0 No -2115 Nature A role for the scaffolding adapter GAB2 in breast cancer | Nature Medicine 2005.0 No -2116 Nature Disruption of PTEN coupling with 5-HT2C receptors suppresses behavioral responses induced by drugs of abuse | Nature Medicine 2006.0 No -2117 Nature Mutations in antiquitin in individuals with pyridoxine-dependent seizures | Nature Medicine 2006.0 No -2118 Nature Generation of C5a in the absence of C3: a new complement activation pathway | Nature Medicine 2006.0 No -2119 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Medicine 2008.0 No -2127 Nature Drug-induced cure drives conversion to a stable and protective CD8+ T central memory response in chronic Chagas disease | Nature Medicine 2008.0 No -2128 Nature Functional roles for C5a receptors in sepsis | Nature Medicine 2008.0 No -2129 Nature The Ashwell receptor mitigates the lethal coagulopathy of sepsis | Nature Medicine 2008.0 No -2130 Nature Activation of c-Kit in dendritic cells regulates T helper cell differentiation and allergic asthma | Nature Medicine 2008.0 No -2131 Nature siRNA-directed inhibition of HIV-1 infection | Nature Medicine 2002.0 No -2132 Nature Visualization of advanced human prostate cancer lesions in living mice by a targeted gene transfer vector and optical imaging | Nature Medicine 2002.0 No -2133 Nature Activation of Notch-1 signaling maintains the neoplastic phenotype in human Ras-transformed cells | Nature Medicine 2002.0 No -2134 Nature Lethal H5N1 influenza viruses escape host anti-viral cytokine responses | Nature Medicine 2002.0 No -2135 Nature The machinery and principles of vesicle transport in the cell | Nature Medicine 2002.0 No -2136 Nature Alternatively spliced human tissue factor: a circulating, soluble, thrombogenic protein | Nature Medicine 2003.0 No -2137 Nature Ex vivo induction and expansion of antigen-specific cytotoxic T cells by HLA-Ig–coated artificial antigen-presenting cells | Nature Medicine 2003.0 No -2138 Nature Advantage of rare HLA supertype in HIV disease progression | Nature Medicine 2003.0 No -2139 Nature A peptide inhibitor of c-Jun N-terminal kinase protects against excitotoxicity and cerebral ischemia | Nature Medicine 2003.0 No -2140 Nature A role for nonprotective complement-fixing antibodies with low avidity for measles virus in atypical measles | Nature Medicine 2003.0 No -2141 Nature Hepatocyte growth factor and its receptor are required for malaria infection | Nature Medicine 2003.0 No -2142 Nature Homeostatic proliferation is a barrier to transplantation tolerance | Nature Medicine 2003.0 No -2143 Nature HIV evolution: CTL escape mutation and reversion after transmission | Nature Medicine 2004.0 No -2144 Nature Reversion of CTL escape–variant immunodeficiency viruses in vivo | Nature Medicine 2004.0 No -2145 Nature A single injection of crystallizable fragment domain–modified antibodies elicits durable protection from SHIV infection | Nature Medicine 2018.0 Yes -2146 Nature Stimulation of entorhinal cortex–dentate gyrus circuitry is antidepressive | Nature Medicine 2018.0 No -2147 Nature PM20D1 is a quantitative trait locus associated with Alzheimer’s disease | Nature Medicine 2018.0 No -2148 Nature Mutant KRAS-driven cancers depend on PTPN11/SHP2 phosphatase | Nature Medicine 2018.0 No -2149 Nature AI for medical imaging goes deep | Nature Medicine 2018.0 No -2150 Nature Low-frequency cortical activity is a neuromodulatory target that tracks recovery after stroke | Nature Medicine 2018.0 No -2151 Nature Enhancer mapping uncovers phenotypic heterogeneity and evolution in patients with luminal breast cancer | Nature Medicine 2018.0 No -2152 Nature Phenotype molding of stromal cells in the lung tumor microenvironment | Nature Medicine 2018.0 No -2153 Nature Clinically applicable deep learning for diagnosis and referral in retinal disease | Nature Medicine 2018.0 No -2154 Nature Automated deep-neural-network surveillance of cranial images for acute neurologic events | Nature Medicine 2018.0 No -2155 Nature Meeting brain–computer interface user performance expectations using a deep neural network decoding framework | Nature Medicine 2018.0 Yes -2156 Nature Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning | Nature Medicine 2018.0 Yes -2157 Nature New machine-learning technologies for computer-aided diagnosis | Nature Medicine 2018.0 No -2158 Nature The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care | Nature Medicine 2018.0 Yes -2159 Nature A patient-level pooled analysis of treatment-shortening regimens for drug-susceptible pulmonary tuberculosis | Nature Medicine 2018.0 Yes -2160 Nature Predicting the early risk of chronic kidney disease in patients with diabetes using real-world data | Nature Medicine 2019.0 Yes -2161 Nature Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram | Nature Medicine 2019.0 Yes -2162 Nature Individualized sepsis treatment using reinforcement learning | Nature Medicine 2018.0 No -2163 Nature Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network | Nature Medicine 2019.0 Yes -2164 Nature Single cell dissection of plasma cell heterogeneity in symptomatic and asymptomatic myeloma | Nature Medicine 2018.0 Yes -2165 Nature Privacy in the age of medical big data | Nature Medicine 2019.0 No -2166 Nature Identifying facial phenotypes of genetic disorders using deep learning | Nature Medicine 2019.0 Yes -2167 Nature Timeline of events | Nature Medicine 2018.0 No -2168 Nature Effect of an intravitreal antisense oligonucleotide on vision in Leber congenital amaurosis due to a photoreceptor cilium defect | Nature Medicine 2018.0 Yes -2169 Nature Blood–brain barrier breakdown is an early biomarker of human cognitive dysfunction | Nature Medicine 2019.0 Yes -2170 Nature High-performance medicine: the convergence of human and artificial intelligence | Nature Medicine 2019.0 No -2171 Nature Artificial intelligence for the electrocardiogram | Nature Medicine 2019.0 No -2172 Nature The practical implementation of artificial intelligence technologies in medicine | Nature Medicine 2019.0 No -2173 Nature Microbial network disturbances in relapsing refractory Crohn’s disease | Nature Medicine 2019.0 Yes -2174 Nature Guidelines for reinforcement learning in healthcare | Nature Medicine 2019.0 No -2175 Nature A guide to deep learning in healthcare | Nature Medicine 2019.0 No -2176 Nature Braving the new world of artificial intelligence | Nature Medicine 2019.0 No -2177 Nature Toward a clearer picture of health | Nature Medicine 2019.0 No -2178 Nature A call for deep-learning healthcare | Nature Medicine 2019.0 No -2179 Nature Medicine in the digital age | Nature Medicine 2019.0 No -2180 Nature Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence | Nature Medicine 2019.0 Yes -2181 Nature A (delayed) history of the brain lymphatic system | Nature Medicine 2019.0 No -2182 Nature The pros, cons, and many unknowns of probiotics | Nature Medicine 2019.0 No -2183 Nature End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography | Nature Medicine 2019.0 https://www.tensorflow.org Yes -2184 Nature Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer | Nature Medicine 2019.0 https://github.com/jnkather/MSIfromHE Yes -2185 Nature Spinal cord repair: advances in biology and technology | Nature Medicine 2019.0 No -2186 Nature Allele-selective transcriptional repression of mutant HTT for the treatment of Huntington’s disease | Nature Medicine 2019.0 Yes -2187 Nature Designing stem-cell-based dopamine cell replacement trials for Parkinson’s disease | Nature Medicine 2019.0 No -2188 Nature Clinical-grade computational pathology using weakly supervised deep learning on whole slide images | Nature Medicine 2019.0 https://github.com/MSKCC-Computational-Pathology/MIL-nature-medicine-2019 Yes -2189 Nature Author Correction: End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography | Nature Medicine 2019.0 No -2190 Nature An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis | Nature Medicine 2019.0 https://github.com/google-research/google-research/tree/master/nopad_inception_v3_fcn Yes -2191 Nature Do no harm: a roadmap for responsible machine learning for health care | Nature Medicine 2019.0 No -2192 Nature Augmented reality microscopes for cancer histopathology | Nature Medicine 2019.0 No -2193 Nature Deep learning-based classification of mesothelioma improves prediction of patient outcome | Nature Medicine 2019.0 https://doi.org/10.1109/CVPR.2016.266 Yes -2194 Nature Putting decisions under the microscope | Nature Medicine 2019.0 No -2195 Nature Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed | Nature Medicine 2019.0 No -2196 Nature Raising the bar for clinical research | Nature Medicine 2019.0 No -2197 Nature Artificial intelligence aims to improve cancer screenings in Kenya | Nature Medicine 2019.0 No -2198 Nature Sex differences in cardiometabolic disorders | Nature Medicine 2019.0 No -2199 Nature AI added to the curriculum for doctors-to-be | Nature Medicine 2019.0 No -2200 Nature Treating health disparities with artificial intelligence | Nature Medicine 2020.0 No -2201 Nature Estimate the hidden deployment cost of predictive models to improve patient care | Nature Medicine 2020.0 No -2202 Nature High-intensity sequencing reveals the sources of plasma circulating cell-free DNA variants | Nature Medicine 2019.0 Yes -2203 Nature Author Correction: Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed | Nature Medicine 2019.0 No -2204 Nature Predicting health and life span with the deep plasma proteome | Nature Medicine 2019.0 No -2205 Nature Machines match humans in image-based diagnoses | Nature Medicine 2019.0 No -2206 Nature At the forefront of medical research: our cover authors share their hopes for their fields | Nature Medicine 2019.0 No -2207 Nature Looking forward 25 years: the future of medicine | Nature Medicine 2019.0 No -2208 Nature Sizing up big data | Nature Medicine 2020.0 No -2209 Nature 15 ways Silicon Valley is harnessing Big Data for health | Nature Medicine 2020.0 No -2210 Nature High-resolution mycobiota analysis reveals dynamic intestinal translocation preceding invasive candidiasis | Nature Medicine 2020.0 Yes -2211 Nature Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks | Nature Medicine 2020.0 Yes -2212 Nature WHO wants to bring order to health data | Nature Medicine 2020.0 No -2213 Nature Automated opportunistic osteoporotic fracture risk assessment using computed tomography scans to aid in FRAX underutilization | Nature Medicine 2020.0 https://www.nice.org.uk/guidance/ta160/resources/raloxifene-for-the-primary-prevention-of-osteoporotic-fragility-fractures-in-postmenopausal-women-pdf-82598368491205 Yes -2214 Nature Axes of a revolution: challenges and promises of big data in healthcare | Nature Medicine 2020.0 No -2215 Nature Cancer prognosis with shallow tumor RNA sequencing | Nature Medicine 2020.0 Yes -2216 Nature Combination anti-HIV-1 antibody therapy is associated with increased virus-specific T cell immunity | Nature Medicine 2020.0 Yes -2217 Nature Regenerative lineages and immune-mediated pruning in lung cancer metastasis | Nature Medicine 2020.0 https://github.com/dpeerlab/lung-development-cancer-progression Yes -2218 Nature Characterization of pre-existing and induced SARS-CoV-2-specific CD8+ T cells | Nature Medicine 2020.0 https://github.com/sagar161286/SARSCoV2_specific_CD8_Tcells Yes -2219 Nature 2021: research and medical trends in a post-pandemic world | Nature Medicine 2020.0 No -2220 Nature Transparency in medical AI | Nature Medicine 2020.0 No -2221 Nature Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach | Nature Medicine 2021.0 https://github.com/DeepHealthAI/nature_medicine_2020 Yes -2222 Nature Effective control of SARS-CoV-2 transmission in Wanzhou, China | Nature Medicine 2020.0 https://github.com/qiulingshi/COVID-analysis-code.git Yes -2223 Nature Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals | Nature Medicine 2021.0 https://github.com/biobakery/MetaPhlAn Yes -2224 Nature An algorithmic approach to reducing unexplained pain disparities in underserved populations | Nature Medicine 2021.0 https://github.com/epierson9/pain-disparities Yes -2225 Nature Artificial intelligence for disparities in knee pain assessment | Nature Medicine 2021.0 No -2226 Nature Eight ways machine learning is assisting medicine | Nature Medicine 2021.0 No -2227 Nature Impaired meningeal lymphatic drainage in patients with idiopathic Parkinson’s disease | Nature Medicine 2021.0 Yes -2228 Nature Identifying subgroups of people at risk for type 2 diabetes | Nature Medicine 2021.0 No -2229 Nature Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics | Nature Medicine 2021.0 https://app.terra.bio/#workspaces/kco-incubator/COVID-19_cross_tissue_analysis/ Yes -2230 Nature AI for breast-cancer screening | Nature Medicine 2020.0 No -2231 Nature Early prediction of circulatory failure in the intensive care unit using machine learning | Nature Medicine 2020.0 Yes -2232 Nature Deep learning models for electrocardiograms are susceptible to adversarial attack | Nature Medicine 2020.0 https://github.com/XintianHan/ADV_ECG Yes -2233 Nature Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017 | Nature Medicine 2020.0 http://ghdx.healthdata.org/record/ihme-data/lmic-double-burden-of-malnutrition-geospatial-estimates-2000-2017 Yes -2234 Nature Large-scale proteomic analysis of Alzheimer’s disease brain and cerebrospinal fluid reveals early changes in energy metabolism associated with microglia and astrocyte activation | Nature Medicine 2020.0 https://github.com/edammer/TAMPOR Yes -2235 Nature Digital technology and COVID-19 | Nature Medicine 2020.0 No -2236 Nature The physician-scientist, 75 years after Vannevar Bush–rethinking the ‘bench’ and ‘bedside’ dichotomy | Nature Medicine 2020.0 No -2237 Nature Development and validation of serological markers for detecting recent Plasmodium vivax infection | Nature Medicine 2020.0 No -2238 Nature A deep learning system for differential diagnosis of skin diseases | Nature Medicine 2020.0 https://www.tensorflow.org/ Yes -2239 Nature T cell-inducing vaccine durably prevents mucosal SHIV infection even with lower neutralizing antibody titers | Nature Medicine 2020.0 https://github.com/scottmk777/Rhesus_CITE-seq Yes -2240 Nature Predicting conversion to wet age-related macular degeneration using deep learning | Nature Medicine 2020.0 https://github.com/tensorflow/tensorflow Yes -2241 Nature Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network | Nature Medicine 2020.0 https://doi.org/10.5539/cis.v4n1p42 Yes -2242 Nature Chemotherapy-induced ileal crypt apoptosis and the ileal microbiome shape immunosurveillance and prognosis of proximal colon cancer | Nature Medicine 2020.0 Yes -2243 Nature Modeling shield immunity to reduce COVID-19 epidemic spread | Nature Medicine 2020.0 https://github.com/WeitzGroup/covid_shield_immunity Yes -2244 Nature Antibody responses to SARS-CoV-2 in patients with COVID-19 | Nature Medicine 2020.0 Yes -2245 Nature Geospatial immune variability illuminates differential evolution of lung adenocarcinoma | Nature Medicine 2020.0 https://github.com/qalid7/compath Yes -2246 Nature Genome-wide cell-free DNA mutational integration enables ultra-sensitive cancer monitoring | Nature Medicine 2020.0 https://ctl.cornell.edu/technology/mrdetect-licence-request Yes -2247 Nature China needs a national intelligent syndromic surveillance system | Nature Medicine 2020.0 No -2248 Nature Artificial intelligence–enabled rapid diagnosis of patients with COVID-19 | Nature Medicine 2020.0 https://github.com/howchihlee/COVID19_CT Yes -2249 Nature Human postprandial responses to food and potential for precision nutrition | Nature Medicine 2020.0 https://twinsuk.ac.uk/resources-for-researchers/access-our-data/ Yes -2250 Nature Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group | Nature Medicine 2020.0 No -2251 Nature Human–computer collaboration for skin cancer recognition | Nature Medicine 2020.0 https://doi.org/10.1016/j.jid.2020.01.019 Yes -2252 Nature A validated predictive algorithm of post-traumatic stress course following emergency department admission after a traumatic stressor | Nature Medicine 2020.0 https://scikit-learn.org/stable/ Yes -2253 Nature Clinical and immunological assessment of asymptomatic SARS-CoV-2 infections | Nature Medicine 2020.0 Yes -2254 Nature Extrapulmonary manifestations of COVID-19 | Nature Medicine 2020.0 No -2255 Nature Author Correction: Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017 | Nature Medicine 2020.0 No -2256 Nature Rapid isolation and profiling of a diverse panel of human monoclonal antibodies targeting the SARS-CoV-2 spike protein | Nature Medicine 2020.0 Yes -2257 Nature A digital biomarker of diabetes from smartphone-based vascular signals | Nature Medicine 2020.0 https://arxiv.org/abs/1908.03265 Yes -2258 Nature Recommendations for measuring HIV reservoir size in cure-directed clinical trials | Nature Medicine 2020.0 No -2259 Nature Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension | Nature Medicine 2020.0 Yes -2260 Nature Clinical research underlies ethical integration of healthcare artificial intelligence | Nature Medicine 2020.0 No -2261 Nature Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension | Nature Medicine 2020.0 Yes -2262 Nature Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist | Nature Medicine 2020.0 https://github.com/beaunorgeot/MI-CLAIM No -2263 Nature Welcoming new guidelines for AI clinical research | Nature Medicine 2020.0 No -2264 Nature Insulin dose optimization using an automated artificial intelligence-based decision support system in youths with type 1 diabetes | Nature Medicine 2020.0 https://doi.org/10.2337/db18-1689-P Yes -2265 Nature “My disability has become an abilityâ€_x009d_ | Nature Medicine 2020.0 No -2266 Nature Setting guidelines to report the use of AI in clinical trials | Nature Medicine 2020.0 No -2267 Nature Whole genome, transcriptome and methylome profiling enhances actionable target discovery in high-risk pediatric cancer | Nature Medicine 2020.0 https://github.com/CCICB/2020-hrPC-landscape Yes -2268 Nature Rare diseases band together toward change in research | Nature Medicine 2020.0 No -2269 Nature The immune roadmap for understanding multi-system inflammatory syndrome in children: opportunities and challenges | Nature Medicine 2020.0 No -2270 Nature DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence | Nature Medicine 2021.0 No -2271 Nature Identification of resistance pathways and therapeutic targets in relapsed multiple myeloma patients through single-cell sequencing | Nature Medicine 2021.0 https://github.com/tanaylab/metacell/ Yes -2272 Nature The future of personalized brain stimulation | Nature Medicine 2021.0 No -2273 Nature Assessment of medication self-administration using artificial intelligence | Nature Medicine 2021.0 https://www.nationalasthma.org.au/living-with-asthma/resources/health-professionals/information-paper/hp-inhaler-technique-for-people-with-asthma-or-copd Yes -2274 Nature Triage-driven diagnosis of Barrett’s esophagus for early detection of esophageal adenocarcinoma using deep learning | Nature Medicine 2021.0 https://github.com/markowetzlab/cytosponge-triage Yes -2275 Nature Attributes and predictors of long COVID | Nature Medicine 2021.0 https://github.com/KCL-BMEIS/ExeTera Yes -2276 Nature Resistance of SARS-CoV-2 variants to neutralization by monoclonal and serum-derived polyclonal antibodies | Nature Medicine 2021.0 Yes -2277 Nature Durable vision improvement after a single treatment with antisense oligonucleotide sepofarsen: a case report | Nature Medicine 2021.0 Yes -2278 Nature How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals | Nature Medicine 2021.0 No -2279 Nature Artificial intelligence–enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial | Nature Medicine 2021.0 /search?author=Xiaoxi%20Yao Yes -2280 Nature Wearable sensors enable personalized predictions of clinical laboratory measurements | Nature Medicine 2021.0 https://doi.org/10.5281/zenodo.4661493 Yes -2281 Nature An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease | Nature Medicine 2021.0 https://github.com/ArnaoutLabUCSF/cardioML Yes -2282 Nature Deep learning in histopathology: the path to the clinic | Nature Medicine 2021.0 No -2283 Nature Deep learning for detecting congenital heart disease in the fetus | Nature Medicine 2021.0 No -2284 Nature Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer | Nature Medicine 2021.0 /search?author=Chris%20McIntosh Yes -2285 Nature Author Correction: Attributes and predictors of long COVID | Nature Medicine 2021.0 No -2286 Nature Improving patient care through the development of a 5G-powered smart hospital | Nature Medicine 2021.0 No -2287 Nature Health systems resilience in managing the COVID-19 pandemic: lessons from 28 countries | Nature Medicine 2021.0 No -2288 Nature Deep learning of HIV field-based rapid tests | Nature Medicine 2021.0 https://xip.uclb.com/product/classify_ai Yes -2289 Nature Population-wide diversity and stability of serum antibody epitope repertoires against human microbiota | Nature Medicine 2021.0 https://github.com/erans99/PhIPSeq_external Yes -2290 Nature Toward personalized treatment approaches for non-small-cell lung cancer | Nature Medicine 2021.0 No -2291 Nature Safety and efficacy of anti-tau monoclonal antibody gosuranemab in progressive supranuclear palsy: a phase 2, randomized, placebo-controlled trial | Nature Medicine 2021.0 Yes -2292 Nature Accelerating the translational medicine cycle: the Academia Europaea pilot | Nature Medicine 2021.0 No -2293 Nature AI in medicine must be explainable | Nature Medicine 2021.0 No -2294 Nature A ‘mix and match’ approach to SARS-CoV-2 vaccination | Nature Medicine 2021.0 No -2295 Nature Personalized lab test models to quantify disease potentials in healthy individuals | Nature Medicine 2021.0 https://doi.org/10.1038/kisup.2012.1 Yes -2296 Nature Why aducanumab is important | Nature Medicine 2021.0 No -2297 Nature Closed-loop neuromodulation in an individual with treatment-resistant depression | Nature Medicine 2021.0 https://github.com/ScangosLab/closed_loop_mdd Yes -2298 Nature Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018 | Nature Medicine 2021.0 http://ghdx.healthdata.org/record/ihme-data/global-anemia-prevalence-geospatial-estimates-2000-2019 Yes -2299 Nature Distinct mechanisms of long-term virologic control in two HIV-infected individuals after treatment interruption of anti-retroviral therapy | Nature Medicine 2021.0 https://github.com/NCBR-FNLCR/NCBR_hiv_integration Yes -2300 Nature Federated learning for predicting clinical outcomes in patients with COVID-19 | Nature Medicine 2021.0 https://ngc.nvidia.com/catalog/models/nvidia:med:clara_train_covid19_exam_ehr_xray Yes -2301 Nature Cellular and humoral immune responses following SARS-CoV-2 mRNA vaccination in patients with multiple sclerosis on anti-CD20 therapy | Nature Medicine 2021.0 Yes -2302 Nature A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI | Nature Medicine 2021.0 No -2303 Nature AlphaFold heralds a data-driven revolution in biology and medicine | Nature Medicine 2021.0 No -2304 Nature Long-term ecological assessment of intracranial electrophysiology synchronized to behavioral markers in obsessive-compulsive disorder | Nature Medicine 2021.0 https://github.com/neuromotion/ecological-ephys-behav-ocd Yes -2305 Nature Digital twins for predictive oncology will be a paradigm shift for precision cancer care | Nature Medicine 2021.0 No -2306 Nature Health data: when children reach the age of consent | Nature Medicine 2022.0 No -2307 Nature Rising to the challenge of bias in health care AI | Nature Medicine 2021.0 No -2308 Nature Pseudonymization of healthcare data in South Korea | Nature Medicine 2022.0 No -2309 Nature Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations | Nature Medicine 2021.0 https://github.com/LalehSeyyed/CheXclusion Yes -2310 Nature Optimizing risk-based breast cancer screening policies with reinforcement learning | Nature Medicine 2022.0 http://learningtocure.csail.mit.edu Yes -2311 Nature AI in health and medicine | Nature Medicine 2022.0 No -2312 Nature Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning | Nature Medicine 2022.0 https://github.com/BorgwardtLab/maldi_amr Yes -2313 Nature Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge | Nature Medicine 2022.0 https://github.com/DIAGNijmegen/panda-challenge Yes -2314 Nature Clinical decisions using AI must consider patient values | Nature Medicine 2022.0 No -2315 Nature AI as a new paradigm for risk-based screening for breast cancer | Nature Medicine 2022.0 No -2316 Nature Non-Invasive Biomarkers of Nonalcoholic Steatohepatitis: the FNIH NIMBLE project | Nature Medicine 2022.0 No -2317 Nature The SGLT2 inhibitor empagliflozin in patients hospitalized for acute heart failure: a multinational randomized trial | Nature Medicine 2022.0 Yes -2318 Nature Activity-dependent spinal cord neuromodulation rapidly restores trunk and leg motor functions after complete paralysis | Nature Medicine 2022.0 https://doi.org/10.1101/2020.11.13.379750 Yes -2319 Nature Initial analysis of viral dynamics and circulating viral variants during the mRNA-1273 Phase 3 COVE trial | Nature Medicine 2022.0 Yes -2320 Nature Neoadjuvant clinical trials provide a window of opportunity for cancer drug discovery | Nature Medicine 2022.0 No -2321 Nature Safety and target engagement of an oral small-molecule sequestrant in adolescents with autism spectrum disorder: an open-label phase 1b/2a trial | Nature Medicine 2022.0 Yes -2322 Nature Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies | Nature Medicine 2022.0 https://github.com/mahmoodlab/CRANE Yes -2323 Nature Delivering precision oncology to patients with cancer | Nature Medicine 2022.0 No -2324 Nature Multiplexed CRISPR-based microfluidic platform for clinical testing of respiratory viruses and identification of SARS-CoV-2 variants | Nature Medicine 2022.0 https://github.com/broadinstitute/mcarmen Yes -2325 Nature The future of early cancer detection | Nature Medicine 2022.0 No -2326 Nature Intravitreal antisense oligonucleotide sepofarsen in Leber congenital amaurosis type 10: a phase 1b/2 trial | Nature Medicine 2022.0 Yes -2327 Nature A golden era of cancer clinical trials | Nature Medicine 2022.0 No -2328 Nature Swarm learning for decentralized artificial intelligence in cancer histopathology | Nature Medicine 2022.0 https://github.com/KatherLab/SWARM Yes -2329 Nature Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI | Nature Medicine 2022.0 https://doi.org/10.1038/s41591-022-01951-8 Yes -2330 Nature Five young investigators tackle big questions in oncology | Nature Medicine 2022.0 No -2331 Nature Indigenous Data Sovereignty and Governance: The Australian Traumatic Brain Injury National Data Project | Nature Medicine 2022.0 No -2332 Nature A national precision cancer medicine implementation initiative for Norway | Nature Medicine 2022.0 No -2333 Nature Patient reported outcome assessment must be inclusive and equitable | Nature Medicine 2022.0 No -2334 Nature Rituximab versus tocilizumab in rheumatoid arthritis: synovial biopsy-based biomarker analysis of the phase 4 R4RA randomized trial | Nature Medicine 2022.0 https://github.com/EMR-bioinformatics/R4RA Yes -2335 Nature Bridging the gap with the UK Genomics Pathology Imaging Collection | Nature Medicine 2022.0 No -2336 Nature Solving medicine’s data bottleneck: Nightingale Open Science | Nature Medicine 2022.0 No -2337 Nature Machine learning model to predict mental health crises from electronic health records | Nature Medicine 2022.0 https://www.nami.org/About-NAMI/Publications-Reports/Guides/Navigating-a-Mental-Health-Crisis/Navigating-A-Mental-Health-Crisis.pdf Yes -2338 Nature Sotigalimab and/or nivolumab with chemotherapy in first-line metastatic pancreatic cancer: clinical and immunologic analyses from the randomized phase 2 PRINCE trial | Nature Medicine 2022.0 https://doi.org/10.5281/zenodo.4009579 Yes -2339 Nature Evaluating and reducing cognitive load should be a priority for machine learning in healthcare | Nature Medicine 2022.0 No -2340 Nature Confounding factors need to be accounted for in assessing bias by machine learning algorithms | Nature Medicine 2022.0 No -2341 Nature Noninvasive proteomic biomarkers for alcohol-related liver disease | Nature Medicine 2022.0 https://github.com/llniu/ALD-study Yes -2342 Nature Omics and AI advance biomarker discovery for liver disease | Nature Medicine 2022.0 No -2343 Nature Harnessing AI in sepsis care | Nature Medicine 2022.0 No -2344 Nature The promise of precision medicine in rheumatology | Nature Medicine 2022.0 No -2345 Nature A new phase of the Cancer Moonshot to end cancer as we know it | Nature Medicine 2022.0 No -2346 Nature Make deep learning algorithms in computational pathology more reproducible and reusable | Nature Medicine 2022.0 No -2347 Nature CRISPR–Cas9-mediated gene editing of the BCL11A enhancer for pediatric β0/β0 transfusion-dependent β-thalassemia | Nature Medicine 2022.0 Yes -2348 Nature Drivers and determinants of strain dynamics following fecal microbiota transplantation | Nature Medicine 2022.0 https://github.com/grp-bork/fmt_metastudy Yes -2349 Nature Detection of early seeding of Richter transformation in chronic lymphocytic leukemia | Nature Medicine 2022.0 https://github.com/ferrannadeu/RichterTransformation Yes -2350 Nature Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals | Nature Medicine 2022.0 https://doi.org/10.1101/2020.05.08.084343 Yes -2351 Nature Open Letter to G7 and G20 leaders: resolve global crises to secure our future | Nature Medicine 2022.0 No -2352 Nature A lightspeed approach to pandemic drug development | Nature Medicine 2022.0 No -2353 Nature Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI | Nature Medicine 2022.0 No -2354 Nature Why paying individual people for their health data is a bad idea | Nature Medicine 2022.0 No -2355 Nature Steps to avoid overuse and misuse of machine learning in clinical research | Nature Medicine 2022.0 No -2356 Nature A digital mask to safeguard patient privacy | Nature Medicine 2022.0 https://github.com/StoryMY/Digital-Mask Yes -2357 Nature Anonymizing facial images to improve patient privacy | Nature Medicine 2022.0 No -2358 Nature Dapagliflozin across the range of ejection fraction in patients with heart failure: a patient-level, pooled meta-analysis of DAPA-HF and DELIVER | Nature Medicine 2022.0 https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure Yes -2359 Nature Metabolomic profiles predict individual multidisease outcomes | Nature Medicine 2022.0 http://github.com/thbuerg/MetabolomicsCommonDiseases Yes -2360 Nature Multimodal biomedical AI | Nature Medicine 2022.0 No -2361 Nature Advancing T cell–based cancer therapy with single-cell technologies | Nature Medicine 2022.0 No -2362 Nature Tackling bias in AI health datasets through the STANDING Together initiative | Nature Medicine 2022.0 No -2363 Nature Simultaneous prediction of risk for multiple common diseases using metabolomics | Nature Medicine 2022.0 No -2364 Nature The AI life cycle: a holistic approach to creating ethical AI for health decisions | Nature Medicine 2022.0 No -2365 Nature KIR-based inhibitory CARs overcome CAR-NK cell trogocytosis-mediated fratricide and tumor escape | Nature Medicine 2022.0 https://doi.org/10.1038/s41591-023-02770-1 Yes -2366 Nature Trogocytosis-mediated tumor relapse after CAR-NK cell therapy prevented by inhibitory CARs | Nature Medicine 2022.0 No -2367 Nature Screening for idiopathic pulmonary fibrosis using comorbidity signatures in electronic health records | Nature Medicine 2022.0 https://doi.org/10.5281/zenodo.6040418 Yes -2368 Nature Influence of the microbiome, diet and genetics on inter-individual variation in the human plasma metabolome | Nature Medicine 2022.0 https://github.com/GRONINGEN-MICROBIOME-CENTRE/Groningen-Microbiome/tree/master/Projects/LLDeep_plasma_GeneralMeta Yes -2369 Nature Clinical and molecular response to tebentafusp in previously treated patients with metastatic uveal melanoma: a phase 2 trial | Nature Medicine 2022.0 Yes -2370 Nature Patient safety needs innovation | Nature Medicine 2022.0 No -2371 Nature Our AI future is better than you think | Nature Medicine 2022.0 No -2372 Nature Artificial intelligence can improve patients’ experience in decentralized clinical trials | Nature Medicine 2022.0 No -2373 Nature Wearable full-body motion tracking of activities of daily living predicts disease trajectory in Duchenne muscular dystrophy | Nature Medicine 2023.0 https://doi.org/10.6084/m9.figshare.20102678 Yes -2374 Nature Overall survival with circulating tumor DNA-guided therapy in advanced non-small-cell lung cancer | Nature Medicine 2022.0 https://doi.org/10.1200/po.18.00307 Yes -2375 Nature Prospective evaluation of smartwatch-enabled detection of left ventricular dysfunction | Nature Medicine 2022.0 https://www.apple.com/ca/healthcare/docs/site/Apple_Watch_Arrhythmia_Detection.pdf Yes -2376 Nature Proteomic signatures for identification of impaired glucose tolerance | Nature Medicine 2022.0 https://github.com/MRC-Epid/iigt_prediction_proteomics Yes -2377 Nature Broad-capture proteomics and machine learning for early detection of type 2 diabetes risk | Nature Medicine 2022.0 No -2378 Nature The landscape of mRNA nanomedicine | Nature Medicine 2022.0 No -2379 Nature AI detection of cardiac dysfunction from consumer watch ECG recordings | Nature Medicine 2022.0 No -2380 Nature Reporting the early stage clinical evaluation of virtual-reality-based intervention trials: RATE-VR | Nature Medicine 2022.0 No -2381 Nature Neural stem cell transplantation in patients with progressive multiple sclerosis: an open-label, phase 1 study | Nature Medicine 2023.0 Yes -2382 Nature Dapagliflozin in heart failure with improved ejection fraction: a prespecified analysis of the DELIVER trial | Nature Medicine 2022.0 Yes -2383 Nature Non-fungible tokens for the management of health data | Nature Medicine 2023.0 No -2384 Nature The Yearbook: 11 early-career researchers to watch | Nature Medicine 2022.0 No -2385 Nature Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer | Nature Medicine 2023.0 https://github.com/AGFoersch/MultiStainDeepLearning Yes -2386 Nature A participatory initiative to include LGBT+ voices in AI for mental health | Nature Medicine 2023.0 No -2387 Nature PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare | Nature Medicine 2023.0 No -2388 Nature Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer | Nature Medicine 2023.0 https://github.com/Substra/substra Yes -2389 Nature A wearable motion capture suit and machine learning predict disease progression in Friedreich’s ataxia | Nature Medicine 2023.0 https://doi.org/10.6084/m9.figshare.20440449 Yes -2390 Nature The next generation of evidence-based medicine | Nature Medicine 2023.0 No -2391 Nature How to regulate evolving AI health algorithms | Nature Medicine 2023.0 No -2392 Nature Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma | Nature Medicine 2023.0 Yes -2393 Nature Early detection of visual impairment in young children using a smartphone-based deep learning system | Nature Medicine 2023.0 https://pytorch.org Yes -2394 Nature Rethinking evidence in medicine | Nature Medicine 2023.0 No -2395 Nature Neoadjuvant chemotherapy plus nivolumab with or without ipilimumab in operable non-small cell lung cancer: the phase 2 platform NEOSTAR trial | Nature Medicine 2023.0 https://github.com/MD-Anderson-Bioinformatics/Neoimmuno Yes -2396 Nature Wearables and AI better predict the progression of muscular dystrophy | Nature Medicine 2023.0 No -2397 Nature New and emerging approaches to treat psychiatric disorders | Nature Medicine 2023.0 No -2398 Nature Tropifexor for nonalcoholic steatohepatitis: an adaptive, randomized, placebo-controlled phase 2a/b trial | Nature Medicine 2023.0 Yes -2399 Nature Diagnostic classification of childhood cancer using multiscale transcriptomics | Nature Medicine 2023.0 https://github.com/shlienlab/raccoon Yes -2400 Nature Patient wisdom should be incorporated into health AI to avoid algorithmic paternalism | Nature Medicine 2023.0 No -2401 Nature A deep-learning algorithm to classify skin lesions from mpox virus infection | Nature Medicine 2023.0 https://www.fast.ai/ Yes -2402 Nature Body composition and lung cancer-associated cachexia in TRACERx | Nature Medicine 2023.0 https://doi.org/10.5281/zenodo.7617516 Yes -2403 Nature Challenges and opportunities in NASH drug development | Nature Medicine 2023.0 No -2404 Nature Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging | Nature Medicine 2023.0 https://github.com/MLNeurosurg/deepglioma Yes -2405 Nature Mitigating algorithmic bias in opioid risk-score modeling to ensure equitable access to pain relief | Nature Medicine 2023.0 No -2406 Nature Use of mobile diagnostics and digital clinical trials in cardiology | Nature Medicine 2023.0 No -2407 Nature Medical imaging data science competitions should report dataset demographics and evaluate for bias | Nature Medicine 2023.0 No -2408 Nature Genomics of perivascular space burden across the lifespan and across ancestries | Nature Medicine 2023.0 No -2409 Nature Interactions between the lipidome and genetic and environmental factors in autism | Nature Medicine 2023.0 https://github.com/cyap7/ASD_lipidomics_AAB_QTAB Yes -2410 Nature Incident type 2 diabetes attributable to suboptimal diet in 184 countries | Nature Medicine 2023.0 https://it.tufts.edu/high-performance-computing Yes -2411 Nature Will ChatGPT transform healthcare? | Nature Medicine 2023.0 No -2412 Nature Big tech companies invest billions in health research | Nature Medicine 2023.0 No -2413 Nature Lessons learned from translating AI from development to deployment in healthcare | Nature Medicine 2023.0 No -2414 Nature Heterogeneous aging across multiple organ systems and prediction of chronic disease and mortality | Nature Medicine 2023.0 https://github.com/yetianmed/BioAge Yes -2415 Nature Using AI to improve the molecular classification of brain tumors | Nature Medicine 2023.0 No -2416 Nature Multi-organ landscape of therapy-resistant melanoma | Nature Medicine 2023.0 Yes -2417 Nature Dupilumab in patients with prurigo nodularis: two randomized, double-blind, placebo-controlled phase 3 trials | Nature Medicine 2023.0 Yes -2418 Nature An integrated tumor, immune and microbiome atlas of colon cancer | Nature Medicine 2023.0 https://doi.org/10.5281/zenodo.7766220 Yes -2419 Nature Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations | Nature Medicine 2023.0 https://github.com/DimitriosDoudesis/CoDE-ACS-NatureMedicine Yes -2420 Nature An integrated cell atlas of the lung in health and disease | Nature Medicine 2023.0 https://github.com/LungCellAtlas/scRNAseq_pipelines Yes -2421 Nature A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories | Nature Medicine 2023.0 https://github.com/BrunakSanderLabs/CancerRiskNet Yes -2422 Nature Organ-specific aging and the risk of chronic diseases | Nature Medicine 2023.0 No -2423 Nature Inside the nascent industry of AI-designed drugs | Nature Medicine 2023.0 No -2424 Nature AI-generated text may have a role in evidence-based medicine | Nature Medicine 2023.0 No -2425 Nature Patients should be informed when AI systems are used in clinical trials | Nature Medicine 2023.0 No -2426 Nature The NCI-MATCH trial: lessons for precision oncology | Nature Medicine 2023.0 No -2427 Nature Digital health for aging populations | Nature Medicine 2023.0 No -2428 Nature Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction | Nature Medicine 2023.0 https://github.com/zeineb-bouzid/sharing-github-nature-medicine.git Yes -2429 Nature Camonsertib in DNA damage response-deficient advanced solid tumors: phase 1 trial results | Nature Medicine 2023.0 Yes -2430 Nature How publishers can fight misinformation in and about science and medicine | Nature Medicine 2023.0 No -2431 Nature Large language model AI chatbots require approval as medical devices | Nature Medicine 2023.0 No -2432 Nature SARS-CoV-2-specific immune responses and clinical outcomes after COVID-19 vaccination in patients with immune-suppressive disease | Nature Medicine 2023.0 https://www.birmingham.ac.uk/research/crctu/data-sharing-policy.aspx Yes -2433 Nature Reply to: Concerns about using a digital mask to safeguard patient privacy | Nature Medicine 2023.0 No -2434 Nature Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians | Nature Medicine 2023.0 https://github.com/deepmind/codoc Yes -2435 Nature Concerns about using a digital mask to safeguard patient privacy | Nature Medicine 2023.0 Yes -2436 Nature Balancing human and AI roles in clinical imaging | Nature Medicine 2023.0 No -2437 Nature The Aging Biomarker Consortium represents a new era for aging research in China | Nature Medicine 2023.0 No -2438 Nature Large language models in medicine | Nature Medicine 2023.0 No -2439 Nature Mesothelin-targeting T cell receptor fusion construct cell therapy in refractory solid tumors: phase 1/2 trial interim results | Nature Medicine 2023.0 Yes -2440 Nature A reinforcement learning model for AI-based decision support in skin cancer | Nature Medicine 2023.0 https://github.com/ptschandl/dermatoscopy_resnet34_nmed_2020 Yes -2441 Nature Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary | Nature Medicine 2023.0 https://github.com/itmoon7/onconpc Yes -2442 Nature Deep-learning-enabled protein–protein interaction analysis for prediction of SARS-CoV-2 infectivity and variant evolution | Nature Medicine 2023.0 https://github.com/UniBind/UniBind Yes -2443 Nature Implementation of digital health technology in clinical trials: the 6R framework | Nature Medicine 2023.0 No -2444 Nature RNA interference targeting ANGPTL3 for triglyceride and cholesterol lowering: phase 1 basket trial cohorts | Nature Medicine 2023.0 Yes -2445 Nature Factors associated with healthy aging in Latin American populations | Nature Medicine 2023.0 https://github.com/AI-BrainLat-team/Heterogeneous-risk-factors-LAC Yes -2446 Nature Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine | Nature Medicine 2023.0 No -2447 Nature A visual–language foundation model for pathology image analysis using medical Twitter | Nature Medicine 2023.0 https://tinyurl.com/webplip Yes -2448 Nature Cerebellar deep brain stimulation for chronic post-stroke motor rehabilitation: a phase I trial | Nature Medicine 2023.0 Yes -2449 Nature Sex differences in brain protein expression and disease | Nature Medicine 2023.0 https://github.com/wingolab-org/role_of_sex_in_brain_expression Yes -2450 Nature Semaglutide in HFpEF across obesity class and by body weight reduction: a prespecified analysis of the STEP-HFpEF trial | Nature Medicine 2023.0 Yes -2451 Nature Harnessing medical twitter data for pathology AI | Nature Medicine 2023.0 No -2452 Nature Medical AI chatbots: are they safe to talk to patients? | Nature Medicine 2023.0 No -2453 Nature How to modernize medical evidence for the misinformation era | Nature Medicine 2023.0 No -2454 Nature Diagnostic performance of circulating biomarkers for non-alcoholic steatohepatitis | Nature Medicine 2023.0 https://github.com/kcpyates2023/NIMBLE-collaboration-with-NASHCRN Yes -2455 Nature External validation of AI models in health should be replaced with recurring local validation | Nature Medicine 2023.0 No -2456 Nature Neoplasia risk in patients with Lynch syndrome treated with immune checkpoint blockade | Nature Medicine 2023.0 Yes -2457 Nature Optimized glycemic control of type 2 diabetes with reinforcement learning: a proof-of-concept trial | Nature Medicine 2023.0 https://github.com/rlditr23/RL-DITR Yes -2458 Nature Biomarkers of aging remain elusive as researchers try to slow the biological clock | Nature Medicine 2023.0 No -2459 Nature Clinical AI tools must convey predictive uncertainty for each individual patient | Nature Medicine 2023.0 No -2460 Nature Recent successes in heart failure treatment | Nature Medicine 2023.0 No -2461 Nature AI-supported insulin dosing for type 2 diabetes | Nature Medicine 2023.0 No -2462 Nature Telehealth for psychiatry and mental healthcare can improve access and patient outcomes | Nature Medicine 2023.0 No -2463 Nature Dynamics and durability of HIV-1 neutralization are determined by viral replication | Nature Medicine 2023.0 https://github.com/jbloomlab/HIV_Broad_Human_Sera_MAP Yes -2464 Nature A spinal cord neuroprosthesis for locomotor deficits due to Parkinson’s disease | Nature Medicine 2023.0 /search?author=Tomislav%20Milekovic Yes -2465 Nature Thymus alterations and susceptibility to immune checkpoint inhibitor myocarditis | Nature Medicine 2023.0 Yes -2466 Nature The PD-1- and LAG-3-targeting bispecific molecule tebotelimab in solid tumors and hematologic cancers: a phase 1 trial | Nature Medicine 2023.0 Yes -2467 Nature Large language models should be used as scientific reasoning engines, not knowledge databases | Nature Medicine 2023.0 No -2468 Nature Bacterial SNPs in the human gut microbiome associate with host BMI | Nature Medicine 2023.0 https://github.com/LironZa/MWAS Yes -2469 Nature An integrated gene-to-outcome multimodal database for metabolic dysfunction-associated steatotic liver disease | Nature Medicine 2023.0 https://doi.org/10.1097/HEP.0000000000000520 Yes -2470 Nature The value of standards for health datasets in artificial intelligence-based applications | Nature Medicine 2023.0 https://www.qualtrics.com/uk/ Yes -2471 Nature Robust airway microbiome signatures in acute respiratory failure and hospital-acquired pneumonia | Nature Medicine 2023.0 /search?author=Emmanuel%20Montassier Yes -2472 Nature Prospective implementation of AI-assisted screen reading to improve early detection of breast cancer | Nature Medicine 2023.0 https://github.com/Kheiron-Medical/mammo-net Yes -2473 Nature AI and imaging-based cancer screening: getting ready for prime time | Nature Medicine 2023.0 No -2474 Nature Large-scale pancreatic cancer detection via non-contrast CT and deep learning | Nature Medicine 2023.0 https://pytorch.org/ Yes -2475 Nature A population-level digital histologic biomarker for enhanced prognosis of invasive breast cancer | Nature Medicine 2023.0 https://github.com/PathologyDataScience/HiPS Yes -2476 Nature The landscape of cancer research and cancer care in China | Nature Medicine 2023.0 https://www.gov.cn/zhengce/2016-10/25/content_5124174.htm Yes -2477 Nature Reporting standards for the use of large language model-linked chatbots for health advice | Nature Medicine 2023.0 No -2478 Nature Machine learning improves prediction of clinical outcomes for invasive breast cancers | Nature Medicine 2023.0 No -2479 Nature 11 clinical trials that will shape medicine in 2024 | Nature Medicine 2023.0 No -2480 Nature Six ways large language models are changing healthcare | Nature Medicine 2023.0 No -2481 Nature Raising the bar for AI in cancer screening | Nature Medicine 2023.0 No -2482 Nature A deep learning system for predicting time to progression of diabetic retinopathy | Nature Medicine 2024.0 https://github.com/drpredict/DeepDR_Plus Yes -2483 Nature Deep learning-aided decision support for diagnosis of skin disease across skin tones | Nature Medicine 2024.0 https://researchbox.org/1802 Yes -2484 Nature The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring | Nature Medicine 2024.0 No -2485 Nature Physician–machine partnerships boost diagnostic accuracy, but bias persists | Nature Medicine 2024.0 No -2486 Nature The next generation of robotic surgery is emerging: but is it better than a human? | Nature Medicine 2024.0 No -2487 Nature A deep learning system for predicting time to progression of diabetic retinopathy | Nature Medicine 2024.0 No -2488 Nature Closing the accessibility gap to mental health treatment with a personalized self-referral chatbot | Nature Medicine 2024.0 https://www.who.int/publications/i/item/9789240049338 Yes -2489 Nature An AI chatbot for talking therapy referrals | Nature Medicine 2024.0 No -2490 Nature AI-based decision support to optimize complex care for preventing medication-related falls | Nature Medicine 2024.0 No -2491 Nature Integration of AI in healthcare requires an interoperable digital data ecosystem | Nature Medicine 2024.0 No -2492 Nature Validation of biomarkers of aging | Nature Medicine 2024.0 No -2493 Nature Anxiety-focused cognitive behavioral therapy delivered by non-specialists to prevent postnatal depression: a randomized, phase 3 trial | Nature Medicine 2024.0 https://nda.nih.gov/ Yes -2494 Nature Interventions to enhance digital health equity in cardiovascular care | Nature Medicine 2024.0 No -2495 Nature Using explainable artificial intelligence to predict and forestall flare in rheumatoid arthritis | Nature Medicine 2024.0 No -2496 Nature A gut microbial signature for combination immune checkpoint blockade across cancer types | Nature Medicine 2024.0 https://github.com/agunjur/cancer_microbiome_CICB/ Yes -2497 Nature Generative models improve fairness of medical classifiers under distribution shifts | Nature Medicine 2024.0 https://github.com/google-research/big_transfer Yes -2498 Nature Heterogeneity and predictors of the effects of AI assistance on radiologists | Nature Medicine 2024.0 https://doi.org/10.5281/zenodo.10467492 Yes -2499 Nature To do no harm — and the most good — with AI in health care | Nature Medicine 2024.0 No -2500 Nature A visual-language foundation model for computational pathology | Nature Medicine 2024.0 https://huggingface.co/MahmoodLab/conch Yes -2501 Nature Towards a general-purpose foundation model for computational pathology | Nature Medicine 2024.0 https://github.com/mahmoodlab/UNI Yes -2502 Nature Developing a conceptual framework for the early adoption of healthcare technologies in hospitals | Nature Medicine 2024.0 No -2503 Nature Off-label use of artificial intelligence models in healthcare | Nature Medicine 2024.0 No -2504 Nature Revealing clinical heterogeneity in a large brain bank cohort | Nature Medicine 2024.0 No -2505 Nature New AI regulation in the EU seeks to reduce risk without assessing public benefit | Nature Medicine 2024.0 No -2506 Nature Demographic bias in misdiagnosis by computational pathology models | Nature Medicine 2024.0 https://github.com/mahmoodlab/CPATH_demographics Yes -2507 Nature Prasinezumab slows motor progression in rapidly progressing early-stage Parkinson’s disease | Nature Medicine 2024.0 Yes -2508 Nature Transparent medical image AI via an image–text foundation model grounded in medical literature | Nature Medicine 2024.0 https://github.com/suinleelab/MONET Yes -2509 Nature Large language models for reducing clinicians’ documentation burden | Nature Medicine 2024.0 No -2510 Nature Using unlabeled data to enhance fairness of medical AI | Nature Medicine 2024.0 No -2511 Nature Personalized neoantigen vaccine and pembrolizumab in advanced hepatocellular carcinoma: a phase 1/2 trial | Nature Medicine 2024.0 https://github.com/FertigLab/GeneosCollaboration Yes -2512 Nature How to support the transition to AI-powered healthcare | Nature Medicine 2024.0 No -2513 Nature Causal machine learning for predicting treatment outcomes | Nature Medicine 2024.0 No -2514 Nature Continuous glucose monitoring and intrapersonal variability in fasting glucose | Nature Medicine 2024.0 https://doi.org/10.1038/s41591-024-02997-6 Yes -2515 Nature Prediction of tumor origin in cancers of unknown primary origin with cytology-based deep learning | Nature Medicine 2024.0 https://github.com/deeplearningplus/TORCH Yes -2516 Nature Large language models for preventing medication direction errors in online pharmacies | Nature Medicine 2024.0 https://www.ismp.org/resources/ismp-survey-helps-define-near-miss-and-close-call Yes -2517 Nature An autoantibody signature predictive for multiple sclerosis | Nature Medicine 2024.0 https://github.com/UCSF-Wilson-Lab/MS_DoD_and_ORIGINS_study_data Yes -2518 Nature A hierarchical kidney outcome using win statistics in patients with heart failure from the DAPA-HF and DELIVER trials | Nature Medicine 2024.0 https://cran.r-project.org/web/packages/WINS/index.html Yes -2519 Nature The health risks of generative AI-based wellness apps | Nature Medicine 2024.0 No -2520 Nature Adapting vision–language AI models to cardiology tasks | Nature Medicine 2024.0 No -2521 Nature Vision–language foundation model for echocardiogram interpretation | Nature Medicine 2024.0 https://github.com/echonet/echo_CLIP Yes -2522 Nature AI-enabled electrocardiography alert intervention and all-cause mortality: a pragmatic randomized clinical trial | Nature Medicine 2024.0 https://github.com/Imshepherd/ECGSurvNet Yes -2523 Nature A prognostic neural epigenetic signature in high-grade glioma | Nature Medicine 2024.0 https://github.com/imsb-uke/epigenetic-neural-glioblastoma Yes -2524 Nature Artificial intelligence in surgery | Nature Medicine 2024.0 No -2525 Nature Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging | Nature Medicine 2024.0 https://github.com/MedAI-Vision/CMR-AI Yes -2526 Nature p75 neurotrophin receptor modulation in mild to moderate Alzheimer disease: a randomized, placebo-controlled phase 2a trial | Nature Medicine 2024.0 https://github.com/hayleyshanks/Longitudinal-MRI-PET-preproc Yes -2527 Nature Using AI to improve medication safety | Nature Medicine 2024.0 No -2528 Nature How to bridge innovation and regulation for responsible AI in healthcare | Nature Medicine 2024.0 No -2529 Nature Lisocabtagene maraleucel in follicular lymphoma: the phase 2 TRANSCEND FL study | Nature Medicine 2024.0 Yes -2530 Nature Prediction of recurrence risk in endometrial cancer with multimodal deep learning | Nature Medicine 2024.0 https://github.com/AIRMEC/HECTOR Yes -2531 Nature Prediction of DNA methylation-based tumor types from histopathology in central nervous system tumors with deep learning | Nature Medicine 2024.0 https://doi.org/10.5281/zenodo.8381774 Yes -2532 Nature Author Correction: Continuous glucose monitoring and intrapersonal variability in fasting glucose | Nature Medicine 2024.0 No -2533 Nature Noninvasive assessment of organ-specific and shared pathways in multi-organ fibrosis using T1 mapping | Nature Medicine 2024.0 https://github.com/broadinstitute/ml4h Yes -2534 Nature Triple hormone receptor agonist retatrutide for metabolic dysfunction-associated steatotic liver disease: a randomized phase 2a trial | Nature Medicine 2024.0 Yes -2535 Nature Reporting guidelines for precision medicine research of clinical relevance: the BePRECISE checklist | Nature Medicine 2024.0 No -2536 Nature Ultrasensitive plasma-based monitoring of tumor burden using machine-learning-guided signal enrichment | Nature Medicine 2024.0 http://ctl.cornell.edu/industry/mrdedge-license-request/ Yes -2537 Nature Thromboembolic events and vascular dementia in patients with atrial fibrillation and low apparent stroke risk | Nature Medicine 2024.0 https://www.birmingham.ac.uk/research/cardiovascular-sciences/research/dare2think/connected-research/connected-research.aspx Yes -2538 Nature Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety | Nature Medicine 2024.0 https://github.com/leotozzi88/cluster_study_2023 Yes -2539 Nature Mapping fibrosis pathways with MRI and genetic association analyses | Nature Medicine 2024.0 No -2540 Nature Harnessing EHR data for health research | Nature Medicine 2024.0 No -2541 Nature Duvelisib plus romidepsin in relapsed/refractory T cell lymphomas: a phase 1b/2a trial | Nature Medicine 2024.0 Yes -2542 Nature Botensilimab plus balstilimab in relapsed/refractory microsatellite stable metastatic colorectal cancer: a phase 1 trial | Nature Medicine 2024.0 Yes -2543 Nature A unified metric of human immune health | Nature Medicine 2024.0 https://github.com/niaid/monogenic-immune-health Yes -2544 Nature AI-based selection of individuals for supplemental MRI in population-based breast cancer screening: the randomized ScreenTrustMRI trial | Nature Medicine 2024.0 https://github.com/radiology2023/RetrospectiveAISmartDensity Yes -2545 Nature Consumer wearable devices for evaluation of heart rate control using digoxin versus beta-blockers: the RATE-AF randomized trial | Nature Medicine 2024.0 https://github.com/gkoutos-group/wearable_data_embedding Yes -2546 Nature Evaluation and mitigation of the limitations of large language models in clinical decision-making | Nature Medicine 2024.0 https://github.com/paulhager/MIMIC-Clinical-Decision-Making-Framework Yes -2547 Nature Precision public health in the era of genomics and big data | Nature Medicine 2024.0 No -2548 Nature Healthcare system resilience and adaptability to pandemic disruptions in the United States | Nature Medicine 2024.0 https://github.com/lucinezhong/healthcare_resilience_quantification_framework Yes -2549 Nature Sustained aviremia despite anti-retroviral therapy non-adherence in male children after in utero HIV transmission | Nature Medicine 2024.0 http://www.who.int/hiv/pub/paediatric/infants2010/en/index.html Yes -2550 Nature The liver casts a wide NET for metastatic pancreatic cancer | Nature Medicine 2024.0 No -2551 Nature The limits of fair medical imaging AI in real-world generalization | Nature Medicine 2024.0 https://github.com/YyzHarry/shortcut-ood-fairness Yes -2552 Nature Safety of pulsed field ablation in more than 17,000 patients with atrial fibrillation in the MANIFEST-17K study | Nature Medicine 2024.0 Yes -2553 Nature AI-based differential diagnosis of dementia etiologies on multimodal data | Nature Medicine 2024.0 https://github.com/vkola-lab/nmed2024 Yes -2554 Nature A comprehensive cancer center in the cloud powered by AI can reduce health disparities | Nature Medicine 2024.0 No -2555 Nature Lipidome changes due to improved dietary fat quality inform cardiometabolic risk reduction and precision nutrition | Nature Medicine 2024.0 https://doi.org/10.5281/zenodo.11412029 Yes -2556 Nature Disruption of neural periodicity predicts clinical response after deep brain stimulation for obsessive-compulsive disorder | Nature Medicine 2024.0 https://github.com/shethlab/PerceptDataAnalysis.git Yes -2557 Nature Author Correction: Prediction of recurrence risk in endometrial cancer with multimodal deep learning | Nature Medicine 2024.0 No -2558 Nature Integrated image-based deep learning and language models for primary diabetes care | Nature Medicine 2024.0 https://github.com/DeepPros/DeepDR-LLM Yes -2559 Nature A foundation model for clinical-grade computational pathology and rare cancers detection | Nature Medicine 2024.0 https://huggingface.co/paige-ai/Virchow Yes -2560 Nature Proteomic signatures improve risk prediction for common and rare diseases | Nature Medicine 2024.0 https://github.com/comp-med/Sparse-proteomic-prediction-of-common-and-rare-diseases.git Yes -2561 Nature Brain aging patterns in a large and diverse cohort of 49,482 individuals | Nature Medicine 2024.0 https://pypi.org/project/SurrealGAN/0.1.1/ Yes -2562 Nature Artificial intelligence for differential diagnosis of dementia | Nature Medicine 2024.0 No -2563 Nature Outpatient reception via collaboration between nurses and a large language model: a randomized controlled trial | Nature Medicine 2024.0 https://github.com/ZigengHuang/SSPEC Yes -2564 Nature A brain cell atlas integrating single-cell transcriptomes across human brain regions | Nature Medicine 2024.0 https://github.com/rnacentre/BrainCellAtlas-reproducibility Yes -2565 Nature Cranioencephalic functional lymphoid units in glioblastoma | Nature Medicine 2024.0 https://doi.org/10.1038/s41587-024-02161-y Yes -2566 Nature Deep learning versus manual morphology-based embryo selection in IVF: a randomized, double-blind noninferiority trial | Nature Medicine 2024.0 http://www.vitrolife.com Yes -2567 Nature AI-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases | Nature Medicine 2024.0 https://github.com/Path-AI/AIM-NASH-DDT-manuscript Yes -2568 Nature Long COVID science, research and policy | Nature Medicine 2024.0 No -2569 Nature Influence of believed AI involvement on the perception of digital medical advice | Nature Medicine 2024.0 https://osf.io/cxb7s/ Yes -2570 Nature Evaluating the clinical benefits of LLMs | Nature Medicine 2024.0 No -2571 Nature A generalist vision–language foundation model for diverse biomedical tasks | Nature Medicine 2024.0 https://github.com/taokz/BiomedGPT Yes -2572 Nature Fragmentation in medicine harms patients and hinders research | Nature Medicine 2024.0 No -2573 Nature DNA liquid biopsy-based prediction of cancer-associated venous thromboembolism | Nature Medicine 2024.0 https://github.com/clinical-data-mining/ctDNA_CAT Yes -2574 Nature Chronic adaptive deep brain stimulation versus conventional stimulation in Parkinson’s disease: a blinded randomized feasibility trial | Nature Medicine 2024.0 https://openmind-consortium.github.io Yes -2575 Nature MIDAS: a new platform for quality-graded health data for AI-enabled healthcare in India | Nature Medicine 2024.0 No -2576 Nature Large language models could make natural language again the universal interface of healthcare | Nature Medicine 2024.0 No -2577 Nature Electronic nudges for sustained influenza vaccination uptake in older adults: the nationwide randomized NUDGE-FLU-2 trial | Nature Medicine 2024.0 https://www.who.int/news-room/fact-sheets/detail/influenza-(seasonal) Yes -2578 Nature Not all AI health tools with regulatory authorization are clinically validated | Nature Medicine 2024.0 No -2579 Nature Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations | Nature Medicine 2024.0 https://osf.io/8zjf4/ Yes -2580 Nature A global metric of immune health | Nature Medicine 2024.0 No -2581 Nature Data-driven risk stratification and precision management of pulmonary nodules detected on chest computed tomography | Nature Medicine 2024.0 https://github.com/simonsf/C-Lung-RADS Yes -2582 Nature An open-source framework for end-to-end analysis of electronic health record data | Nature Medicine 2024.0 https://github.com/theislab/ehrapy Yes -2583 Nature Integrating liver endpoints in clinical trials of cardiovascular and kidney disease | Nature Medicine 2024.0 Yes -2584 Nature High-throughput identification of repurposable neuroactive drugs with potent anti-glioblastoma activity | Nature Medicine 2024.0 https://github.com/RebekkaWegmann/drugseq_toolbox Yes -2585 Nature A foundation model for clinician-centered drug repurposing | Nature Medicine 2024.0 https://zitniklab.hms.harvard.edu/projects/TxGNN Yes -2586 Nature Opportunities and challenges for patient-reported outcome assessment in multimorbidity research and practice | Nature Medicine 2024.0 No -2587 Nature Artificial intelligence guided screening for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial | Nature Medicine 2024.0 https://www.who.int/publications/i/item/9789240068759 Yes -2588 Nature The European Health Data Space can be a boost for research beyond borders | Nature Medicine 2024.0 No -2589 Nature Neoadjuvant nivolumab or nivolumab plus ipilimumab in early-stage triple-negative breast cancer: a phase 2 adaptive trial | Nature Medicine 2024.0 https://doi.org/10.1158/1078-0432.CCR-23-1316 Yes -2590 Nature Improving primary healthcare with generative AI | Nature Medicine 2024.0 No -2591 Nature A toolbox for surfacing health equity harms and biases in large language models | Nature Medicine 2024.0 https://github.com/google-research/google-research/tree/master/health_equity_toolbox Yes -2592 Nature Patient attitudes toward the AI doctor | Nature Medicine 2024.0 No -2593 Nature Author Correction: Not all AI health tools with regulatory authorization are clinically validated | Nature Medicine 2024.0 No -2594 Nature An open-source framework for electronic health record and patient fate exploration | Nature Medicine 2024.0 No -2595 Nature How will artificial intelligence change medical training? | Communications Medicine 2021.0 No -2596 Nature Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading | Communications Medicine 2021.0 https://www.tensorflow.org Yes -2597 Nature A BERT model generates diagnostically relevant semantic embeddings from pathology synopses with active learning | Communications Medicine 2021.0 https://zenodo.org/record/4711413 Yes -2598 Nature Determining breast cancer biomarker status and associated morphological features using deep learning | Communications Medicine 2021.0 https://github.com/tensorflow/tensorflow/tree/r1.14 Yes -2599 Nature Development and multicenter validation of chest X-ray radiography interpretations based on natural language processing | Communications Medicine 2021.0 https://zenodo.org/record/5335914 Yes -2600 Nature Estimating heritability of glycaemic response to metformin using nationwide electronic health records and population-sized pedigree | Communications Medicine 2021.0 https://www.nature.com/scitable/topicpage/environment-controls-gene-expression-sex-determination-and-982/ Yes -2601 Nature Deep learning-based detection and segmentation of diffusion abnormalities in acute ischemic stroke | Communications Medicine 2021.0 https://www.nitrc.org/projects/ads Yes -2602 Nature Development and preliminary validation of a machine learning system for thyroid dysfunction diagnosis based on routine laboratory tests | Communications Medicine 2022.0 https://github.com/CosmicAITS/AITS1 Yes -2603 Nature An olfactory self-test effectively screens for COVID-19 | Communications Medicine 2022.0 https://gitlab.com/snitz/smelltracker_article Yes -2604 Nature Auditory deep sleep stimulation in older adults at home: a randomized crossover trial | Communications Medicine 2022.0 https://github.com/pquochuy/SeqSleepNet Yes -2605 Nature Development and preliminary validation of infrared spectroscopic device for transdermal assessment of elevated cardiac troponin | Communications Medicine 2022.0 Yes -2606 Nature Automated bone marrow cytology using deep learning to generate a histogram of cell types | Communications Medicine 2022.0 https://doi.org/10.5281/zenodo.6373429 Yes -2607 Nature Using a 5G network in hospitals to reduce nosocomial infection during the COVID-19 pandemic | Communications Medicine 2022.0 No -2608 Nature Ethnic disparities in publicly-available pulse oximetry databases | Communications Medicine 2022.0 Yes -2609 Nature Insights from teaching artificial intelligence to medical students in Canada | Communications Medicine 2022.0 Yes -2610 Nature Predicting biochemical recurrence of prostate cancer with artificial intelligence | Communications Medicine 2022.0 https://zenodo.org/record/6480481 Yes -2611 Nature Prediction of SARS-CoV-2-positivity from million-scale complete blood counts using machine learning | Communications Medicine 2022.0 https://doi.org/10.6084/m9.figshare.15046797 Yes -2612 Nature Intelligent wearable allows out-of-the-lab tracking of developing motor abilities in infants | Communications Medicine 2022.0 https://doi.org/10.5281/zenodo.6417486 Yes -2613 Nature A predictive model using the mesoscopic architecture of the living brain to detect Alzheimer’s disease | Communications Medicine 2022.0 https://doi.org/10.17632/rpztyz22df.1 Yes -2614 Nature A stakeholder group assessment of interactions between child health and the sustainable development goals in Cambodia | Communications Medicine 2022.0 Yes -2615 Nature A user-friendly tool for cloud-based whole slide image segmentation with examples from renal histopathology | Communications Medicine 2022.0 https://github.com/SarderLab/Histo-cloud Yes -2616 Nature Machine learning to support visual auditing of home-based lateral flow immunoassay self-test results for SARS-CoV-2 antibodies | Communications Medicine 2022.0 https://github.com/TianhongDai/react2-code Yes -2617 Nature Making cough count in tuberculosis care | Communications Medicine 2022.0 No -2618 Nature Using deep learning-based natural language processing to identify reasons for statin nonuse in patients with atherosclerotic cardiovascular disease | Communications Medicine 2022.0 https://doi.org/10.25740/gn923yy3398 Yes -2619 Nature Subpopulation-specific machine learning prognosis for underrepresented patients with double prioritized bias correction | Communications Medicine 2022.0 https://github.com/ShaAfr/underrepresentation_in_clinical_dataset Yes -2620 Nature Deep learning predicts all-cause mortality from longitudinal total-body DXA imaging | Communications Medicine 2022.0 https://doi.org/10.1093/gerona/glw163 Yes -2621 Nature Broad clinical manifestations of polygenic risk for coronary artery disease in the Women’s Health Initiative | Communications Medicine 2022.0 Yes -2622 Nature Interpretable machine learning prediction of all-cause mortality | Communications Medicine 2022.0 https://github.com/suinleelab/IMPACT Yes -2623 Nature Medication history-wide association studies for pharmacovigilance of pregnant patients | Communications Medicine 2022.0 https://doi.org/10.1038/s41591-020-0925-1 Yes -2624 Nature TIAToolbox as an end-to-end library for advanced tissue image analytics | Communications Medicine 2022.0 https://github.com/TissueImageAnalytics/tiatoolbox/tree/publication Yes -2625 Nature Spatio-temporal dynamics of three diseases caused by Aedes-borne arboviruses in Mexico | Communications Medicine 2022.0 https://github.com/BoDong111/COMMSMED Yes -2626 Nature A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment | Communications Medicine 2022.0 https://github.com/Google-Health/google-health/tree/master/fetal_ultrasound_blind_sweeps Yes -2627 Nature Mendelian randomization prioritizes abdominal adiposity as an independent causal factor for liver fat accumulation and cardiometabolic diseases | Communications Medicine 2022.0 https://github.com/MRCIEU/TwoSampleMR Yes -2628 Nature Artificial intelligence and machine learning in cancer imaging | Communications Medicine 2022.0 No -2629 Nature Comparison of artificial intelligence and human-based prediction and stratification of the risk of long-term kidney allograft failure | Communications Medicine 2022.0 https://doi.org/10.2307/2529310 Yes -2630 Nature Adiposity and NMR-measured lipid and metabolic biomarkers among 30,000 Mexican adults | Communications Medicine 2022.0 Yes -2631 Nature Performance assessment and economic analysis of a human Liver-Chip for predictive toxicology | Communications Medicine 2022.0 Yes -2632 Nature Mitigating the impact of biased artificial intelligence in emergency decision-making | Communications Medicine 2022.0 https://doi.org/10.5281/zenodo.7293263 Yes -2633 Nature Dark-field chest X-ray imaging for the assessment of COVID-19-pneumonia | Communications Medicine 2022.0 https://www.kaggle.com/code/nguyenbadung/siim-covid19-2021/notebook?scriptVersionId=69474844 Yes -2634 Nature Supporting COVID-19 policy-making with a predictive epidemiological multi-model warning system | Communications Medicine 2022.0 https://corona-ampel.gv.at/sites/corona-ampel.gv.at/files/Manual%20Ampelsystem_V.7_20220623.pdf Yes -2635 Nature Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosis | Communications Medicine 2022.0 https://github.com/pirocv/xray_age Yes -2636 Nature Network-based prediction of the disclosure of ideation about self-harm and suicide in online counseling sessions | Communications Medicine 2022.0 https://doi.org/10.5281/zenodo.7277707 Yes -2637 Nature Identifying and evaluating barriers for the implementation of machine learning in the intensive care unit | Communications Medicine 2022.0 https://github.com/apakbin94/ICU72hReadmissionMIMICIII Yes -2638 Nature Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction | Communications Medicine 2023.0 https://github.com/akhilvaid/LeftHeartValvularDisease Yes -2639 Nature Cardiothoracic ratio values and trajectories are associated with risk of requiring dialysis and mortality in chronic kidney disease | Communications Medicine 2023.0 https://zenodo.org/record/7403096#.Y47s0HZByUk Yes -2640 Nature Development and validation of an integrative pan-solid tumor predictor of PD-1/PD-L1 blockade benefit | Communications Medicine 2023.0 https://github.com/StrataOncology/immune-response-score Yes -2641 Nature Forecasting hospital-level COVID-19 admissions using real-time mobility data | Communications Medicine 2023.0 https://doi.org/10.1002/bjs.11646 Yes -2642 Nature MRI-based deep learning can discriminate between temporal lobe epilepsy, Alzheimer’s disease, and healthy controls | Communications Medicine 2023.0 https://doi.org/10.5281/zenodo.7621235 Yes -2643 Nature A multi-institutional study using artificial intelligence to provide reliable and fair feedback to surgeons | Communications Medicine 2023.0 https://github.com/danikiyasseh/SAIS Yes -2644 Nature Plasma metabolites with mechanistic and clinical links to the neurovascular disease cavernous angioma | Communications Medicine 2023.0 https://doi.org/10.5281/zenodo.7630546 Yes -2645 Nature Deep learning-based polygenic risk analysis for Alzheimer’s disease prediction | Communications Medicine 2023.0 https://github.com/xzhouai/NNP Yes -2646 Nature Joint COVID-19 and influenza-like illness forecasts in the United States using internet search information | Communications Medicine 2023.0 https://zenodo.org/badge/latestdoi/476787213 Yes -2647 Nature Multimodal deep learning to predict prognosis in adult and pediatric brain tumors | Communications Medicine 2023.0 https://github.com/gevaertlab/MultiModalBrainSurvival Yes -2648 Nature Deep learning-based electrocardiographic screening for chronic kidney disease | Communications Medicine 2023.0 https://github.com/ecg-net/CKDscreening Yes -2649 Nature Guiding principles for the responsible development of artificial intelligence tools for healthcare | Communications Medicine 2023.0 No -2650 Nature Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning | Communications Medicine 2023.0 https://tfhub.dev/google/bit/s-r50x1/1 Yes -2651 Nature An open-source deep learning network AVA-Net for arterial-venous area segmentation in optical coherence tomography angiography | Communications Medicine 2023.0 https://github.com/mansour2002/AVA-Net Yes -2652 Nature Unsupervised meta-clustering identifies risk clusters in acute myeloid leukemia based on clinical and genetic profiles | Communications Medicine 2023.0 https://zenodo.org/badge/latestdoi/629506656 Yes -2653 Nature A convolutional neural network-based model that predicts acute graft-versus-host disease after allogeneic hematopoietic stem cell transplantation | Communications Medicine 2023.0 https://doi.org/10.1038/s43856-023-00323-8 Yes -2654 Nature Rapid digital pathology of H&E-stained fresh human brain specimens as an alternative to frozen biopsy | Communications Medicine 2023.0 https://doi.org/10.1109/TMM.2022.3161839 Yes -2655 Nature Detecting chronic kidney disease by electrocardiography | Communications Medicine 2023.0 No -2656 Nature Construction and validation of a gene expression classifier to predict immunotherapy response in primary triple-negative breast cancer | Communications Medicine 2023.0 https://github.com/mensenyat/TNBC-ICI Yes -2657 Nature Rapidly adaptable automated interpretation of point-of-care COVID-19 diagnostics | Communications Medicine 2023.0 https://github.com/smartestapp/smart-ml/ Yes -2658 Nature Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank | Communications Medicine 2023.0 https://github.com/tjiagoM/adni_phenotypes Yes -2659 Nature Ensuring fair, safe, and interpretable artificial intelligence-based prediction tools in a real-world oncological setting | Communications Medicine 2023.0 https://zenodo.org/record/7888547 Yes -2660 Nature Microstructural changes precede depression in patients with relapsing-remitting Multiple Sclerosis | Communications Medicine 2023.0 https://doi.org/10.2463/mrms.rev.2021-0091 Yes -2661 Nature Automatic comprehensive radiological reports for clinical acute stroke MRIs | Communications Medicine 2023.0 https://www.nitrc.org/projects/ads10 Yes -2662 Nature Toxicology knowledge graph for structural birth defects | Communications Medicine 2023.0 https://github.com/nih-cfde/ReproToxTables Yes -2663 Nature Text-based predictions of COVID-19 diagnosis from self-reported chemosensory descriptions | Communications Medicine 2023.0 https://github.com/Hongyang449/covid19_perception/tree/main/data Yes -2664 Nature The development of blood protein profiles in extremely preterm infants follows a stereotypic evolution pattern | Communications Medicine 2023.0 Yes -2665 Nature Infant movement classification through pressure distribution analysis | Communications Medicine 2023.0 https://doi.org/10.5281/zenodo.8104097 Yes -2666 Nature Development of a decentralized cohort for studying post-acute sequelae of COVID-19 in India in the Data4life Study | Communications Medicine 2023.0 Yes -2667 Nature The impact of imputation quality on machine learning classifiers for datasets with missing values | Communications Medicine 2023.0 https://www.omicsonline.org/open-access/a-comparison-of-six-methods-for-missing-data-imputation-2155-6180-1000224.php?aid=54590 Yes -2668 Nature Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review | Communications Medicine 2023.0 Yes -2669 Nature Genetic and clinical variables act synergistically to impact neurodevelopmental outcomes in children with single ventricle heart disease | Communications Medicine 2023.0 Yes -2670 Nature The use of precision diagnostics for monogenic diabetes: a systematic review and expert opinion | Communications Medicine 2023.0 Yes -2671 Nature The future landscape of large language models in medicine | Communications Medicine 2023.0 Yes -2672 Nature Migrants’ mental health recovery in Italian reception facilities | Communications Medicine 2023.0 https://osf.io/9geqc/ Yes -2673 Nature Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans | Communications Medicine 2023.0 https://grand-challenge.org/algorithms/lung-nodule-detector-for-ct/ Yes -2674 Nature Influence of secondhand smoke exposure on the retinal vasculature of children in Hong Kong | Communications Medicine 2023.0 https://doi.org/10.1001/jamaophthalmol.2019.4178 Yes -2675 Nature Platelet aggregates detected using quantitative phase imaging associate with COVID-19 severity | Communications Medicine 2023.0 https://github.com/matterport/Mask_RCNN Yes -2676 Nature A deep network DeepOpacityNet for detection of cataracts from color fundus photographs | Communications Medicine 2023.0 https://github.com/ncbi/DeepOpacityNet Yes -2677 Nature Large-scale deep learning analysis to identify adult patients at risk for combined and common variable immunodeficiencies | Communications Medicine 2023.0 https://doi.org/10.48550/ARXIV.1512.03385 Yes -2678 Nature A mechanistic marker-based screening tool to predict clinical immunogenicity of biologics | Communications Medicine 2023.0 Yes -2679 Nature Deep learning and transfer learning identify breast cancer survival subtypes from single-cell imaging data | Communications Medicine 2023.0 https://github.com/lanagarmire/BC_imaging Yes -2680 Nature Multi-resolution deep learning characterizes tertiary lymphoid structures and their prognostic relevance in solid tumors | Communications Medicine 2024.0 https://github.com/DIAGNijmegen/pathology-hooknet-tls Yes -2681 Nature Harnessing artificial intelligence to improve clinical trial design | Communications Medicine 2023.0 No -2682 Nature Challenges in implementing cultural adaptations of digital health interventions | Communications Medicine 2024.0 No -2683 Nature Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecologic malignancies | Communications Medicine 2024.0 https://github.com/arp95/collatil_biomarker_gyn Yes -2684 Nature Generative deep learning furthers the understanding of local distributions of fat and muscle on body shape and health using 3D surface scans | Communications Medicine 2024.0 https://github.com/LambertLeong/Pseudo-DXA Yes -2685 Nature Machine learning models identify predictive features of patient mortality across dementia types | Communications Medicine 2024.0 https://github.com/Huang-lab/dementia-survival-prediction Yes -2686 Nature S100A8/A9 predicts response to PIM kinase and PD-1/PD-L1 inhibition in triple-negative breast cancer mouse models | Communications Medicine 2024.0 https://github.com/DHBCIOLAB/S100A8A9_TNBC.git Yes -2687 Nature Generalisable deep learning method for mammographic density prediction across imaging techniques and self-reported race | Communications Medicine 2024.0 https://www.federalregister.gov/documents/2019/03/28/2019-05803/mammography-quality-standards-act Yes -2688 Nature An ECG-based artificial intelligence model for assessment of sudden cardiac death risk | Communications Medicine 2024.0 https://github.com/ecg-net/scd-oregon Yes -2689 Nature Multi-scale V-net architecture with deep feature CRF layers for brain extraction | Communications Medicine 2024.0 https://github.com/pjsjongsung/EVAC Yes -2690 Nature IFNα induces CCR5 in CD4+ T cells of HIV patients causing pathogenic elevation | Communications Medicine 2024.0 Yes -2691 Nature Early elevated IFNα is a key mediator of HIV pathogenesis | Communications Medicine 2024.0 Yes -2692 Nature Socio-spatial equity analysis of relative wealth index and emergency obstetric care accessibility in urban Nigeria | Communications Medicine 2024.0 https://doi.org/10.5281/zenodo.10579736 Yes -2693 Nature Description of an activity-based enzyme biosensor for lung cancer detection | Communications Medicine 2024.0 https://progressreport.cancer.gov/detection/lung_cancer Yes -2694 Nature Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging | Communications Medicine 2024.0 https://github.com/tayebiarasteh/DP_CXR Yes -2695 Nature Detection of COVID-19 features in lung ultrasound images using deep neural networks | Communications Medicine 2024.0 https://gitlab.com/pulselab/covid19 Yes -2696 Nature Cardiologist-level interpretable knowledge-fused deep neural network for automatic arrhythmia diagnosis | Communications Medicine 2024.0 https://github.com/xin-gou/automatic-ecgdiagnosis Yes -2697 Nature Development and prospective validation of an artificial intelligence-based smartphone app for rapid intraoperative pituitary adenoma identification | Communications Medicine 2024.0 https://doi.org/10.5281/zenodo.10712822 Yes -2698 Nature Question-answering system extracts information on injection drug use from clinical notes | Communications Medicine 2024.0 https://github.com/huggingface/transformers/blob/master/examples/legacy/question-answering/run_squad.py Yes -2699 Nature A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images | Communications Medicine 2024.0 https://github.com/Panakeia-Technologies/Multiomics-PANCancer Yes -2700 Nature Artificial intelligence-enabled electrocardiography contributes to hyperthyroidism detection and outcome prediction | Communications Medicine 2024.0 https://github.com/xup6fup/ECG-for-HT Yes -2701 Nature Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers | Communications Medicine 2024.0 https://github.com/AIM-Harvard/DeepHeart Yes -2702 Nature Generative deep learning for the development of a type 1 diabetes simulator | Communications Medicine 2024.0 https://doi.org/10.3389/fphys.2020.575789 Yes -2703 Nature Proteome profiling of home-sampled dried blood spots reveals proteins of SARS-CoV-2 infections | Communications Medicine 2024.0 https://github.com/Schwenk-Lab/Olink-DBS Yes -2704 Nature Revealing speckle obscured living human retinal cells with artificial intelligence assisted adaptive optics optical coherence tomography | Communications Medicine 2024.0 https://doi.org/10.5281/zenodo.10455740 Yes -2705 Nature A CD25-biased interleukin-2 for autoimmune therapy engineered via a semi-synthetic organism | Communications Medicine 2024.0 Yes -2706 Nature Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning | Communications Medicine 2024.0 https://github.com/LARS-research/KnowDDI Yes -2707 Nature Super-resolution neural networks improve the spatiotemporal resolution of adaptive MRI-guided radiation therapy | Communications Medicine 2024.0 https://github.com/Image-X-Institute/MRI-Linac_SuperResolution Yes -2708 Nature Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis | Communications Medicine 2024.0 Yes -2709 Nature Predicting which patients with cancer will see a psychiatrist or counsellor from their initial oncology consultation document using natural language processing | Communications Medicine 2024.0 https://doi.org/10.1007/978-3-319-64310-6_1 Yes -2710 Nature Convolutional neural network-based classification of glaucoma using optic radiation tissue properties | Communications Medicine 2024.0 https://github.com/36000/glauc_paper_scripts Yes -2711 Nature A comprehensive AI model development framework for consistent Gleason grading | Communications Medicine 2024.0 /search?author=Xinmi%20Huo Yes -2712 Nature Machine learning-based health environmental-clinical risk scores in European children | Communications Medicine 2024.0 http://arxiv.org/abs/1802.03888 Yes -2713 Nature A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis | Communications Medicine 2024.0 https://github.com/Qian-IMMULab Yes -2714 Nature Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learning | Communications Medicine 2024.0 https://github.com/Project-MONAI/MONAI Yes -2715 Nature Transcriptomics analysis reveals molecular alterations underpinning spaceflight dermatology | Communications Medicine 2024.0 https://github.com/henrycope/spaceflight-skin-transcriptomics Yes -2716 Nature Efficient deep learning-based automated diagnosis from echocardiography with contrastive self-supervised learning | Communications Medicine 2024.0 https://github.com/CarDS-Yale/EchoCLR Yes -2717 Nature Distinct brain morphometry patterns revealed by deep learning improve prediction of post-stroke aphasia severity | Communications Medicine 2024.0 https://github.com/alexteghipco/volDNN Yes -2718 Nature Identification of risk factors of Long COVID and predictive modeling in the RECOVER EHR cohorts | Communications Medicine 2024.0 https://github.com/calvin-zcx/pasc_phenotype/tree/master/prediction Yes -2719 Nature Recommendations for evaluating photoplethysmography-based algorithms for blood pressure assessment | Communications Medicine 2024.0 Yes -2720 Nature Precision imaging of cardiac function and scar size in acute and chronic porcine myocardial infarction using ultrahigh-field MRI | Communications Medicine 2024.0 Yes -2721 Nature Using large language models to assess public perceptions around glucagon-like peptide-1 receptor agonists on social media | Communications Medicine 2024.0 https://doi.org/10.5281/zenodo.12209343 Yes -2722 Nature Explainable AI decision support improves accuracy during telehealth strep throat screening | Communications Medicine 2024.0 /search?author=Catalina%20Gomez Yes -2723 Nature A network-based trans-omics approach for predicting synergistic drug combinations | Communications Medicine 2024.0 https://github.com/kztakemoto/network_propagation Yes -2724 Nature Touchless short-wave infrared imaging for dynamic rapid pupillometry and gaze estimation in closed eyes | Communications Medicine 2024.0 https://doi.org/10.1101/2023.07.19.549720 Yes -2725 Nature Robotic scrub nurse to anticipate surgical instruments based on real-time laparoscopic video analysis | Communications Medicine 2024.0 https://github.com/ResearchgroupMITI/instrument-anticipation Yes -2726 Nature Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer | Communications Medicine 2024.0 Yes -2727 Nature Predicting 1, 2 and 3 year emergent referable diabetic retinopathy and maculopathy using deep learning | Communications Medicine 2024.0 https://www.python.org Yes -2728 Nature Prospective multicenter study using artificial intelligence to improve dermoscopic melanoma diagnosis in patient care | Communications Medicine 2024.0 https://github.com/ISIC-Research/ADAE Yes -2729 Nature Lipidomic biomarkers in plasma correlate with disease severity in adrenoleukodystrophy | Communications Medicine 2024.0 Yes -2730 Nature Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech | Communications Medicine 2024.0 https://doi.org/10.5281/zenodo.12806213 Yes -2731 arXiv High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks 2017.0 https://github.com/nyukat/BIRADS -2732 arXiv Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography 2017.0 https://github.com/lishen/end2end-all-conv -2733 arXiv Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification 2017.0 -2734 arXiv A multiobjective deep learning approach for predictive classification in Neuroblastoma 2017.0 -2735 arXiv Deep Learning Diffuse Optical Tomography 2017.0 -2736 arXiv Abstract: Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients 2018.0 -2737 arXiv Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches 2018.0 -2738 arXiv A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data 2018.0 https://github.com/yunchuankong/NetworkNeuralNetwork. -2739 arXiv An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray 2018.0 -2740 arXiv Dimensionality Reduction in Deep Learning for Chest X-Ray Analysis of Lung Cancer 2018.0 -2741 arXiv DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification 2018.0 https://github.com/uci-cbcl/DeepLung.git -2742 arXiv Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification 2018.0 -2743 arXiv Highly accurate model for prediction of lung nodule malignancy with CT scans 2018.0 -2744 arXiv A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin 2018.0 https://github.com/ahundt/Keras-FCN. -2745 arXiv Semi-supervised multi-task learning for lung cancer diagnosis 2018.0 -2746 arXiv A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning 2018.0 -2747 arXiv Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy 2018.0 -2748 arXiv Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network 2018.0 -2749 arXiv Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation 2018.0 -2750 arXiv Classification of Breast Cancer Histology using Deep Learning 2018.0 -2751 arXiv A Bayesian Mark Interaction Model for 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risk assessment in CT lung screening using deep learning 2018.0 -2762 arXiv A Deep Active Survival Analysis Approach for Precision Treatment Recommendations: Application of Prostate Cancer 2018.0 -2763 arXiv Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification 2018.0 -2764 arXiv Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning 2018.0 -2765 arXiv Active Learning for Breast Cancer Identification 2018.0 -2766 arXiv A Deep Convolutional Neural Network for Lung Cancer Diagnostic 2018.0 -2767 arXiv Convolutional capsule network for classification of breast cancer histology images 2018.0 -2768 arXiv Extracting Lungs from CT Images using Fully Convolutional Networks 2018.0 -2769 arXiv Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia 2018.0 -2770 arXiv Generalizing multistain immunohistochemistry tissue segmentation using one-shot color deconvolution deep neural networks 2018.0 -2771 arXiv Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology 2018.0 -2772 arXiv Predicting Lymph Node Metastasis in Head and Neck Cancer by Combining Many-objective Radiomics and 3-dimensioal Convolutional Neural Network through Evidential Reasoning 2018.0 -2773 arXiv GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization 2018.0 -2774 arXiv AffinityNet: semi-supervised few-shot learning for disease type prediction 2018.0 https://github.com/BeautyOfWeb/AffinityNet. -2775 arXiv Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture 2018.0 -2776 arXiv Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks 2018.0 -2777 arXiv Fully 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https://github.com/popitsch/varan-gie -2787 arXiv 3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation 2018.0 -2788 arXiv DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images 2018.0 -2789 arXiv Deep Semi Supervised Generative Learning for Automated PD-L1 Tumor Cell Scoring on NSCLC Tissue Needle Biopsies 2018.0 -2790 arXiv Mammography Dual View Mass Correspondence 2018.0 -2791 arXiv Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images 2018.0 https://github.com/MaciejMazurowski/breast-mri- -2792 arXiv Reversed Active Learning based Atrous DenseNet for Pathological Image Classification 2018.0 -2793 arXiv Data Augmentation for Detection of Architectural Distortion in Digital Mammography using Deep Learning Approach 2018.0 -2794 arXiv Towards Single-phase Single-stage Detection of Pulmonary Nodules in Chest CT Imaging 2018.0 -2795 arXiv Domain Adaptation for Deviating 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microenvironment 2022.0 -3530 arXiv Effective Class-Imbalance learning based on SMOTE and Convolutional Neural Networks 2022.0 -3531 arXiv Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods 2022.0 https://github.com/keras-team/keras/tree/master/keras/ -3532 arXiv Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation 2022.0 -3533 arXiv Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images 2022.0 https://github.com/mdsatria/MultiAttentionMIL -3534 arXiv Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization 2022.0 https://github.com/ehsannowroozi/RDFS -3535 arXiv TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction 2022.0 -3536 arXiv Medical Image Segmentation using LeViT-UNet++: A Case Study on GI Tract Data 2022.0 -3537 arXiv Automatic Tumor 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and the Identification of 'Ugly Duckling' and Suspicious Naevi: A Review 2023.0 -3786 arXiv Comparative Analysis of Deep Learning Architectures for Breast Cancer Diagnosis Using the BreaKHis Dataset 2023.0 -3787 arXiv FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation 2023.0 -3788 arXiv Delving into Ipsilateral Mammogram Assessment under Multi-View Network 2023.0 -3789 arXiv MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization 2023.0 https://github.com/yezanting/MLN-NET-VERSON1. -3790 arXiv Improving diagnosis and prognosis of lung cancer using vision transformers: A scoping review 2023.0 https://github.com/tampapath/lung_col -3791 arXiv Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications 2023.0 -3792 arXiv CenTime: Event-Conditional Modelling of Censoring in Survival Analysis 2023.0 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https://github.com/Amrita-Medical-AI/eusml-labeller. -3801 arXiv An Efficient Consolidation of Word Embedding and Deep Learning Techniques for Classifying Anticancer Peptides: FastText+BiLSTM 2023.0 -3802 arXiv Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT Images 2023.0 https://github.com/ahxmeds/autosegnet. -3803 arXiv Gastro-Intestinal Tract Segmentation Using an Explainable 3D Unet 2023.0 -3804 arXiv AiAReSeg: Catheter Detection and Segmentation in Interventional Ultrasound using Transformers 2023.0 https://github.com/kmammou/v-hacd,2014. -3805 arXiv Combining Survival Analysis and Machine Learning for Mass Cancer Risk Prediction using EHR data 2023.0 -3806 arXiv An Investigation Into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features 2023.0 -3807 arXiv Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma 2023.0 https://github.com/MIC-DKFZ/nnUNet -3808 arXiv Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet 2023.0 -3809 arXiv Exploring Counterfactual Alignment Loss towards Human-centered AI 2023.0 -3810 arXiv Deep learning-based image super-resolution of a novel end-expandable optical fiber probe for application in esophageal cancer diagnostics 2023.0 -3811 arXiv Comparative Evaluation of Transfer Learning for Classification of Brain Tumor Using MRI 2023.0 -3812 arXiv OCU-Net: A Novel U-Net Architecture for Enhanced Oral Cancer Segmentation 2023.0 https://github.com/yingkaisha/ -3813 arXiv Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis 2023.0 -3814 arXiv AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical Knowledge 2023.0 -3815 arXiv The Conditional Prediction Function: A Novel Technique to Control False Discovery Rate for Complex Models 2023.0 -3816 arXiv Enhancing Prostate Cancer Diagnosis with Deep Learning: A Study using mpMRI Segmentation and Classification 2023.0 -3817 arXiv M3FPolypSegNet: Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization in Colonoscopy Images 2023.0 -3818 arXiv Tertiary Lymphoid Structures Generation through Graph-based Diffusion 2023.0 -3819 arXiv Attention-Map Augmentation for Hypercomplex Breast Cancer Classification 2023.0 -3820 arXiv Class-Specific Data Augmentation: Bridging the Imbalance in Multiclass Breast Cancer Classification 2023.0 -3821 arXiv Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning 2023.0 https://github.com/scjjb/HIPT_ABMIL_ATEC23,alongsidefurtherdetailsofthehyperparametertuning. -3822 arXiv Domain-specific optimization and diverse evaluation of self-supervised models for histopathology 2023.0 -3823 arXiv One-dimensional convolutional neural network model for breast cancer subtypes classification and biochemical content evaluation using micro-FTIR hyperspectral images 2023.0 -3824 arXiv Dual-path convolutional neural network using micro-FTIR imaging to predict breast cancer subtypes and biomarkers levels: estrogen receptor, progesterone receptor, HER2 and Ki67 2023.0 -3825 arXiv Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles 2023.0 -3826 arXiv Deep Learning Techniques for Cervical Cancer Diagnosis based on Pathology and Colposcopy Images 2023.0 -3827 arXiv Improving Performance in Colorectal Cancer Histology Decomposition using Deep and Ensemble Machine Learning 2023.0 https://github.com/genekogan/ofxTSNE} -3828 arXiv Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests 2023.0 -3829 arXiv Intelligent Breast Cancer Diagnosis with Heuristic-assisted Trans-Res-U-Net and Multiscale DenseNet using Mammogram Images 2023.0 -3830 arXiv Domain Generalization in Computational Pathology: Survey and Guidelines 2023.0 https://github.com/thuml/ -3831 arXiv Can input reconstruction be used to directly estimate uncertainty of a regression U-Net model? -- Application to proton therapy dose prediction for head and neck cancer patients 2023.0 -3832 arXiv Feature-oriented Deep Learning Framework for Pulmonary Cone-beam CT (CBCT) Enhancement with Multi-task Customized Perceptual Loss 2023.0 https://github.com/zhujiarui42/CFP-Loss -3833 arXiv AeroPath: An airway segmentation benchmark dataset with challenging pathology 2023.0 https://github.com/raidionics/AeroPath. -3834 arXiv Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge 2023.0 -3835 arXiv Auto-ICell: An Accessible and Cost-Effective Integrative Droplet Microfluidic System for Real-Time Single-Cell Morphological and Apoptotic Analysis 2023.0 -3836 arXiv Diffusion-based Radiotherapy Dose Prediction Guided by Inter-slice Aware Structure Encoding 2023.0 -3837 arXiv Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data 2023.0 -3838 arXiv An attention-based deep learning network for predicting Platinum resistance in ovarian cancer 2023.0 -3839 arXiv An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in Breast Cancer 2023.0 https://github.com/adamshephard/TIAger. -3840 arXiv TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction 2023.0 -3841 arXiv Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation 2023.0 -3842 arXiv Robust Brain MRI Image Classification with SIBOW-SVM 2023.0 -3843 arXiv HEALNet -- Hybrid Multi-Modal Fusion for Heterogeneous Biomedical Data 2023.0 https://github.com/konst-int-i/healnet. -3844 arXiv Nondestructive, quantitative viability analysis of 3D tissue cultures using machine learning image segmentation 2023.0 https://github.com/armanilab/SAAVY67. -3845 arXiv LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype 2023.0 -3846 arXiv GroupMixer: Patch-based Group Convolutional Neural Network for Breast Cancer Detection from Histopathological Images 2023.0 -3847 arXiv Interpretable pap smear cell representation for cervical cancer screening 2023.0 -3848 arXiv WATUNet: A Deep Neural Network for Segmentation of Volumetric Sweep Imaging Ultrasound 2023.0 -3849 arXiv Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images 2023.0 https://github.com/jamesrenhoulee/CancerNet-SCa,2021. -3850 arXiv MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features 2023.0 https://github.com/lmxmercy/MGCT. -3851 arXiv Ovarian Cancer Data Analysis using Deep Learning: A Systematic Review from the Perspectives of Key Features of Data Analysis and AI Assurance 2023.0 -3852 arXiv Deep learning-based detection of morphological features associated with hypoxia in H&E breast cancer whole slide images 2023.0 -3853 arXiv Deep learning-based instance segmentation for the precise automated quantification of digital breast cancer immunohistochemistry images 2023.0 https://github.com/WXinlong/SOLO/blob/master/configs/solov2/solov2 -3854 arXiv View it like a radiologist: Shifted windows for deep learning augmentation of CT images 2023.0 https://github.com/agnalt/window-shifting. -3855 arXiv Gene-MOE: A sparsely gated prognosis and classification framework exploiting pan-cancer genomic information 2023.0 -3856 arXiv A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends 2023.0 https://github.com/taozh2017/Awesome-Polyp- -3857 arXiv Cancer-Net PCa-Gen: Synthesis of Realistic Prostate Diffusion Weighted Imaging Data via Anatomic-Conditional Controlled Latent Diffusion 2023.0 -3858 arXiv Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation 2023.0 -3859 arXiv Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method 2023.0 -3860 arXiv A Comparative Analysis Towards Melanoma Classification Using Transfer Learning by Analyzing Dermoscopic Images 2023.0 -3861 arXiv Survey on deep learning in multimodal medical imaging for cancer detection 2023.0 -3862 arXiv Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians 2023.0 -3863 arXiv Double Integral Enhanced Zeroing Neural Network Optimized with ALSOA fostered Lung Cancer Classification using CT Images 2023.0 -3864 arXiv Lung Cancer Detection from CT Scan Images based on Genetic-Independent Recurrent Deep Learning 2023.0 -3865 arXiv gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic Segmentation 2023.0 -3866 arXiv Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network 2023.0 http://github.com/deepmind/dm-haiku -3867 arXiv Breast Cancer Detection Using Deep Learning Technique Based On Ultrasound Image 2023.0 -3868 arXiv ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging 2023.0 -3869 arXiv A review of mechanistic learning in mathematical oncology 2023.0 -3870 arXiv An Interpretable Deep Learning Approach for Skin Cancer Categorization 2023.0 https://github.com/Faysal-MD/An-Interpretable-Deep-Learning- -3871 arXiv CLDR: Contrastive Learning Drug Response Models from Natural Language Supervision 2023.0 -3872 arXiv From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology 2023.0 https://github.com/KatherLab/STAMP). -3873 arXiv Hierarchical Classification System for Breast Cancer Specimen Report (HCSBC) -- an end-to-end model for characterizing severity and diagnosis 2023.0 https://github.com/thiagosantos1/HCSBC. -3874 arXiv SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology 2023.0 -3875 arXiv Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction 2023.0 -3876 arXiv Self-supervised learning for skin cancer diagnosis with limited training data 2024.0 https://github.com/hamish-haggerty/cancer-proj -3877 arXiv Automating Leukemia Diagnosis with Autoencoders: A Comparative Study 2023.0 -3878 arXiv Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms 2024.0 -3879 arXiv Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis 2024.0 -3880 arXiv Nodule detection and generation on chest X-rays: NODE21 Challenge 2024.0 https://github.com/DIAGNijmegen/opencxr. -3881 arXiv SAPNet: a deep learning model for identification of single-molecule peptide post-translational modifications with surface enhanced Raman spectroscopy 2024.0 -3882 arXiv Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-based Non-invasive Digital System 2024.0 -3883 arXiv Beyond Traditional Approaches: Multi-Task Network for Breast Ultrasound Diagnosis 2024.0 -3884 arXiv Siamese Content-based Search Engine for a More Transparent Skin and Breast Cancer Diagnosis through Histological Imaging 2024.0 -3885 arXiv Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors 2024.0 https://github.com/deepmedic/deepmedic) -3886 arXiv ADCNet: a unified framework for predicting the activity of antibody-drug conjugates 2024.0 https://github.com/idrugLab/ADCNet. -3887 arXiv Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation 2024.0 https://github.com/facebookresearch/ -3888 arXiv BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images 2024.0 https://github.com/pimed/BreastRegNet. -3889 arXiv RTA-Former: Reverse Transformer Attention for Polyp Segmentation 2024.0 -3890 arXiv Deep Learning for Improved Polyp Detection from Synthetic Narrow-Band Imaging 2024.0 -3891 arXiv DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scans 2024.0 -3892 arXiv A Study of Acquisition Functions for Medical Imaging Deep Active Learning 2024.0 https://github.com/bonaventuredossou/ -3893 arXiv CIMIL-CRC: a clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H\&E stained images 2024.0 https://github.com/jmg764/ -3894 arXiv Improving the Efficiency of Oncological Diagnosis of the Breast Based on the Combined Use of Simulation Modeling and Artificial Intelligence Algorithms 2024.0 -3895 arXiv Deep Learning-Based Auto-Segmentation of Planning Target Volume for Total Marrow and Lymph Node Irradiation 2024.0 -3896 arXiv Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer 2024.0 -3897 arXiv Adversarially Robust Feature Learning for Breast Cancer Diagnosis 2024.0 -3898 arXiv AI-Enabled Lung Cancer Prognosis 2024.0 -3899 arXiv NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction 2024.0 -3900 arXiv BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion 2024.0 https://github.com/raktim-mondol/ -3901 arXiv MM-SurvNet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion 2024.0 -3902 arXiv Tumor segmentation on whole slide images: training or prompting? 2024.0 https://github.com/baaivision/Painter/tree/main/SegGPT -3903 arXiv EXACT-Net:EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy 2024.0 -3904 arXiv MV-Swin-T: Mammogram Classification with Multi-view Swin Transformer 2024.0 https://github.com/prithuls/MV-Swin-T -3905 arXiv Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images 2024.0 -3906 arXiv Dose Prediction Driven Radiotherapy Paramters Regression via Intra- and Inter-Relation Modeling 2024.0 -3907 arXiv Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging 2024.0 -3908 arXiv Analysis of the Two-Step Heterogeneous Transfer Learning for Laryngeal Blood Vessel Classification: Issue and Improvement 2024.0 -3909 arXiv Advancing Gene Selection in Oncology: A Fusion of Deep Learning and Sparsity for Precision Gene Selection 2024.0 -3910 arXiv Speckle Noise Reduction in Ultrasound Images using Denoising Auto-encoder with Skip Connection 2024.0 -3911 arXiv Redefining cystoscopy with ai: bladder cancer diagnosis using an efficient hybrid cnn-transformer model 2024.0 -3912 arXiv Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology 2024.0 https://github.com/Avic3nna/joint-mtl-cpath. -3913 arXiv Hitchhiker's guide to cancer-associated lymphoid aggregates in histology images: manual and deep learning-based quantification approaches 2024.0 -3914 arXiv Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology 2024.0 https://github.com/facebookresearch/moco-v3 -3915 arXiv HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction 2024.0 https://github.com/dddavid4real/HistGen. -3916 arXiv In-context learning enables multimodal large language models to classify cancer pathology images 2024.0 https://github.com-/basveeling/pcam -3917 arXiv Accurate Spatial Gene Expression Prediction by integrating Multi-resolution features 2024.0 -3918 arXiv Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs 2024.0 -3919 arXiv Semi- and Weakly-Supervised Learning for Mammogram Mass Segmentation with Limited Annotations 2024.0 -3920 arXiv SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast 2024.0 https://github.com/numanai/SurvRNC. -3921 arXiv A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification 2024.0 -3922 arXiv Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure 2024.0 -3923 arXiv AI-Assisted Cervical Cancer Screening 2024.0 -3924 arXiv Longitudinal changes in deep learning-estimated breast density and their impact on the risk of screen-detected breast cancer: The DeepJoint Algorithm 2024.0 https://github.com/Lightning-AI/lightning -3925 arXiv Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models 2024.0 -3926 arXiv Adversary-Robust Graph-Based Learning of WSIs 2024.0 -3927 arXiv Web-based Melanoma Detection 2024.0 -3928 arXiv WEEP: A method for spatial interpretation of weakly supervised CNN models in computational pathology 2024.0 https://github.com/rantalainenGroup/WEEP. -3929 arXiv PCa-RadHop: A Transparent and Lightweight Feed-forward Method for Clinically Significant Prostate Cancer Segmentation 2024.0 -3930 arXiv PSHop: A Lightweight Feed-Forward Method for 3D Prostate Gland Segmentation 2024.0 -3931 arXiv Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer 2024.0 -3932 arXiv Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification 2024.0 -3933 arXiv Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields 2024.0 https://github.com/ruveydayilmaz0/BVDM. -3934 arXiv Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data 2024.0 -3935 arXiv Improving Cancer Imaging Diagnosis with Bayesian Networks and Deep Learning: A Bayesian Deep Learning Approach 2024.0 -3936 arXiv Transparent and Clinically Interpretable AI for Lung Cancer Detection in Chest X-Rays 2024.0 https://github.com/AmyRaff/concept-explanations -3937 arXiv Homomorphic WiSARDs: Efficient Weightless Neural Network training over encrypted data 2024.0 https://github.com/leonardohn/homomorphic- -3938 arXiv Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges 2024.0 https://github.com/ShreyasiPathak/multiinstance-learning-mammography -3939 arXiv Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling 2024.0 -3940 arXiv Diagnosis of Skin Cancer Using VGG16 and VGG19 Based Transfer Learning Models 2024.0 -3941 arXiv Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI 2024.0 -3942 arXiv Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy from DWI Data 2024.0 -3943 arXiv Evaluating the Effectiveness of Artificial Intelligence in Predicting Adverse Drug Reactions among Cancer Patients: A Systematic Review and Meta-Analysis 2024.0 -3944 arXiv Natural Learning 2024.0 -3945 arXiv Breast Cancer Image Classification Method Based on Deep Transfer Learning 2024.0 -3946 arXiv Deep Learning-Based Segmentation of Tumors in PET/CT Volumes: Benchmark of Different Architectures and Training Strategies 2024.0 https://github.com/MIC-DKFZ/ -3947 arXiv Automatic classification of prostate MR series type using image content and metadata 2024.0 https://github.com/deepakri201/DICOMScanClassification. -3948 arXiv Consisaug: A Consistency-based Augmentation for Polyp Detection in Endoscopy Image Analysis 2024.0 https://github.com/Zhouziyuya/Consisaug). -3949 arXiv BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark 2024.0 -3950 arXiv Towards Large-Scale Training of Pathology Foundation Models 2024.0 https://github.com/kaiko-ai/towards_large_ -3951 arXiv Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology 2024.0 https://github.com/AlexisGuichemerreCode/ -3952 arXiv Fast and label-free 3D virtual H&E histology via active modulation-assisted dynamic full-field OCT 2024.0 -3953 arXiv Deep Learning Descriptor Hybridization with Feature Reduction for Accurate Cervical Cancer Colposcopy Image Classification 2024.0 -3954 arXiv A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images 2024.0 -3955 arXiv Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis 2024.0 https://github.com/diogojpa99/Medical- -3956 arXiv Segmentation-Free Outcome Prediction in Head and Neck Cancer: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) of PET Images 2024.0 -3957 arXiv Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics 2024.0 -3958 arXiv Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method 2024.0 https://github.com/matinamehdizadeh/Breast-Cancer-Detection -3959 arXiv Swin transformers are robust to distribution and concept drift in endoscopy-based longitudinal rectal cancer assessment 2024.0 -3960 arXiv BetterNet: An Efficient CNN Architecture with Residual Learning and Attention for Precision Polyp Segmentation 2024.0 https://github.com/itsOwen/BetterNet -3961 arXiv Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification 2024.0 https://github.com/Mukaffi28/Explainable-AI-for-Lung-and-Colon-Cancer-Classification -3962 arXiv Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation 2024.0 -3963 arXiv Reimplementation of Learning to Reweight Examples for Robust Deep Learning 2024.0 https://github.com/jgardner21/ -3964 arXiv ResSurv: Cancer Survival Analysis Prediction Model Based on Residual Networks 2024.0 https://github.com/Madrigalpp/Torch- -3965 arXiv Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer 2024.0 -3966 arXiv Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring 2024.0 https://github.com/med-air/PICG2scoring -3967 arXiv drGAT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network 2024.0 https://github.com/inoue0426/drGAT -3968 arXiv Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images -- Nevus & Melanoma 2024.0 https://github.com/cyMichael/ROI_Detection -3969 arXiv Automatic segmentation of Organs at Risk in Head and Neck cancer patients from CT and MRI scans 2024.0 -3970 arXiv EPPS: Advanced Polyp Segmentation via Edge Information Injection and Selective Feature Decoupling 2024.0 https://github.com/Mengqi-Lei/ -3971 arXiv Adversarial Training of Two-Layer Polynomial and ReLU Activation Networks via Convex Optimization 2024.0 https://github.com/dklbs493/ -3972 arXiv Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images 2024.0 https://github.com/Biomedical-Data-Analysis-Laboratory/HistoPrognostics. -3973 arXiv NMGrad: Advancing 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early-stage breast cancer recurrence using H\&E-stained tissue images 2024.0 -3990 arXiv Triage of 3D pathology data via 2.5D multiple-instance learning to guide pathologist assessments 2024.0 https://github.com/alecgao066/CARP3D. -3991 arXiv Evaluating the Impact of Sequence Combinations on Breast Tumor Segmentation in Multiparametric MRI 2024.0 -3992 arXiv Heterogeneous Entity Representation for Medicinal Synergy Prediction 2024.0 https://github.com/Christina327/HERMES. -3993 arXiv Saliency-guided and Patch-based Mixup for Long-tailed Skin Cancer Image Classification 2024.0 https://github.com/Yancy10-1/SPMix. -3994 arXiv Development and Validation of Fully Automatic Deep Learning-Based Algorithms for Immunohistochemistry Reporting of Invasive Breast Ductal Carcinoma 2024.0 -3995 arXiv Location-based Radiology Report-Guided Semi-supervised Learning for Prostate Cancer Detection 2024.0 -3996 arXiv Radiomics-based artificial intelligence (AI) models in colorectal cancer (CRC) diagnosis, metastasis detection, prognosis, and treatment response 2024.0 -3997 arXiv Skin Cancer Images Classification using Transfer Learning Techniques 2024.0 -3998 arXiv Robust Melanoma Thickness Prediction via Deep Transfer Learning enhanced by XAI Techniques 2024.0 -3999 arXiv MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations 2024.0 https://github.com/LidiaGarrucho/MAMA-MIA.Theautomaticsegmen- -4000 arXiv Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning 2024.0 https://github.com/helenypzhang/Subspace-Multimodal-Learning. -4001 arXiv Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning 2024.0 https://github.com/ilmaro8/wsi_analysis). -4002 arXiv Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge 2024.0 https://github.com/dbouget/ct -4003 arXiv PathoWAve: A Deep Learning-based Weight Averaging Method for Improving Domain Generalization in Histopathology Images 2024.0 https://github.com/ParastooSotoudeh/PathoWAve -4004 arXiv Semi-supervised variational autoencoder for cell feature extraction in multiplexed immunofluorescence images 2024.0 -4005 arXiv Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification 2024.0 -4006 arXiv Lesion-Aware Cross-Phase Attention Network for Renal Tumor Subtype Classification on Multi-Phase CT Scans 2024.0 -4007 arXiv BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging 2024.0 https://github.com/Z-Sherkat/BayTTA. -4008 arXiv Foundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation 2024.0 -4009 arXiv Unsupervised Latent Stain Adaptation for Computational Pathology 2024.0 -4010 arXiv Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer 2024.0 -4011 arXiv Deep learning for automated detection of breast cancer in deep ultraviolet fluorescence images with diffusion probabilistic model 2024.0 -4012 arXiv Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection 2024.0 -4013 arXiv Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection 2024.0 https://github.com/MIDA-group/OralCancerMultimodal. -4014 arXiv Multi-Attention Integrated Deep Learning Frameworks for Enhanced Breast Cancer Segmentation and Identification 2024.0 -4015 arXiv Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural Network 2024.0 -4016 arXiv Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging 2024.0 -4017 arXiv Deep-Motion-Net: GNN-based volumetric organ shape reconstruction from single-view 2D projections 2024.0 -4018 arXiv Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy 2024.0 https://github.com/paulkogni/SG-RCPS -4019 arXiv Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks 2024.0 https://github.com/aiff22/DeepCMorph -4020 arXiv FastImpute: A Baseline for Open-source, Reference-Free Genotype Imputation Methods -- A Case Study in PRS313 2024.0 https://github.com/aaronge-2020/DeepImpute -4021 arXiv Deep Learning Algorithms for Early Diagnosis of Acute Lymphoblastic Leukemia 2024.0 -4022 arXiv Mammographic Breast Positioning Assessment via Deep Learning 2024.0 https://github.com/tanyelai/deep-breast-positioning. -4023 arXiv Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data 2024.0 https://github.com/RichardObi/mammo_dp. -4024 arXiv Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection 2024.0 -4025 arXiv CC-DCNet: Dynamic Convolutional Neural Network with Contrastive Constraints for Identifying Lung Cancer Subtypes on Multi-modality Images 2024.0 -4026 arXiv DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer 2024.0 -4027 arXiv Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model 2024.0 https://github.com/NVlabs/ODISE -4028 arXiv Ranking protein-protein models with large language models and graph neural networks 2024.0 https://github.com/haddocking/pdb- -4029 arXiv Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imaging 2024.0 https://github.com/janosh/tf-mnf/tree/main -4030 arXiv Predicting the Progression of Cancerous Tumors in Mice: A Machine and Deep Learning Intuition 2024.0 -4031 arXiv Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation 2024.0 https://github.com/lkpengcs/SynTumorAnalyzer. -4032 arXiv Polyp segmentation in colonoscopy images using DeepLabV3++ 2024.0 -4033 arXiv Predicting T-Cell Receptor Specificity 2024.0 https://github.com/antigenomics/vdjdb-db/blob/2023-06-01/README.md. -4034 arXiv Pathology Foundation Models 2024.0 https://github.com/mahmoodlab/UNI -4035 arXiv MicroMIL: Graph-based Contextual Multiple Instance Learning for Patient Diagnosis Using Microscopy Images 2024.0 https://github.com/utayao/Atten-Deep-MIL -4036 arXiv NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification 2024.0 https://github.com/CosmoIknosLab/NuLite. -4037 arXiv Advancing H&E-to-IHC Stain Translation in Breast Cancer: A Multi-Magnification and Attention-Based Approach 2024.0 -4038 arXiv Heterogeneous graph attention network improves cancer multiomics integration 2024.0 https://github.com/SinaTabakhi/HeteroGATomics/tree/main/raw_data). -4039 arXiv Deep Transfer Learning for Kidney Cancer Diagnosis 2024.0 -4040 arXiv Segmentation of Mental Foramen in Orthopantomographs: A Deep Learning Approach 2024.0 -4041 arXiv RT-Surv: Improving Mortality Prediction After Radiotherapy with Large Language Model Structuring of Large-Scale Unstructured Electronic Health Records 2024.0 -4042 arXiv Deep Multimodal Collaborative Learning for Polyp Re-Identification 2024.0 https://github.com/JeremyXSC/DMCL. -4043 arXiv Integration of Genetic Algorithms and Deep Learning for the Generation and Bioactivity Prediction of Novel Tyrosine Kinase Inhibitors 2024.0 https://github.com/ricardo-romero-ochoa/bio-deep- -4044 arXiv Pan-cancer gene set discovery via scRNA-seq for optimal deep learning based downstream tasks 2024.0 https://github.com/kimjh0107/2024 -4045 arXiv Deep Learning: a Heuristic Three-stage Mechanism for Grid Searches to Optimize the Future Risk Prediction of Breast Cancer Metastasis Using EHR-based Clinical Data 2024.0 -4046 arXiv Exploring learning environments for label\-efficient cancer diagnosis 2024.0 -4047 arXiv Oral squamous cell detection using deep learning 2024.0 -4048 arXiv Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detection 2024.0 https://github.com/aryahm1375/MetaGene. -4049 arXiv Cervical Cancer Detection Using Multi-Branch Deep Learning Model 2024.0 -4050 arXiv DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network 2024.0 -4051 arXiv Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge 2024.0 -4052 arXiv Wave-LSTM: Multi-scale analysis of somatic whole genome copy number profiles 2024.0 https://github.com/raphael-group/chisel-data -4053 arXiv Exploring Machine Learning Models for Lung Cancer Level Classification: A comparative ML Approach 2024.0 -4054 arXiv Interpretable breast cancer classification using CNNs on mammographic images 2024.0 -4055 arXiv Multi-modal Intermediate Feature Interaction AutoEncoder for Overall Survival Prediction of Esophageal Squamous Cell Cancer 2024.0 -4056 arXiv HER2 and FISH Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning 2024.0 -4057 arXiv Optimizing Lung Cancer Detection in CT Imaging: A Wavelet Multi-Layer Perceptron (WMLP) Approach Enhanced by Dragonfly Algorithm (DA) 2024.0 -4058 arXiv Novel Methods for Analyzing Cellular Interactions in Deep Learning-Based Image Cytometry: Spatial Interaction Potential and Co-Localization Index 2024.0 -4059 arXiv IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology 2024.0 https://github.com/a-fsh-r/IBO -4060 arXiv Comparative Analysis of Transfer Learning Models for Breast Cancer Classification 2024.0 -4061 arXiv BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis 2024.0 -4062 arXiv LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification 2024.0 -4063 arXiv PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy 2024.0 https://github.com/DebeshJha/PolypDB. -4064 arXiv Self-Supervised Learning for Building Robust Pediatric Chest X-ray Classification Models 2024.0 -4065 arXiv Modifying the U-Net's Encoder-Decoder Architecture for Segmentation of Tumors in Breast Ultrasound Images 2024.0 -4066 arXiv Explainable AI for computational pathology identifies model limitations and tissue biomarkers 2024.0 https://github.com/mahmoodlab/PORPOISE -4067 arXiv Evaluating Machine Learning-based Skin Cancer Diagnosis 2024.0 https://github.com/Trusted-AI/AIF360/blob/master/aif360/algorithms/postprocessing/eq_odds_postprocessing.py -4068 arXiv Enhancing Skin Lesion Diagnosis with Ensemble Learning 2024.0 -4069 arXiv Robust Real-time Segmentation of Bio-Morphological Features in Human Cherenkov Imaging during Radiotherapy via Deep Learning 2024.0 -4070 arXiv Segmentation by Factorization: Unsupervised Semantic Segmentation for Pathology by Factorizing Foundation Model Features 2024.0 -4071 arXiv CerviXpert: A Multi-Structural Convolutional Neural Network for Predicting Cervix Type and Cervical Cell Abnormalities 2024.0 -4072 arXiv Interactive 3D Segmentation for Primary Gross Tumor Volume in Oropharyngeal Cancer 2024.0 -4073 arXiv A comprehensive study on Blood Cancer detection and classification using Convolutional Neural Network 2024.0 -4074 arXiv DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images 2024.0 -4075 arXiv A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection 2024.0 -4076 arXiv Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms 2024.0 -4077 arXiv Crown-Like Structures in Breast Adipose Tissue: Finding a 'Needle-in-a-Haystack' using Artificial Intelligence and Collaborative Active Learning on the Web 2024.0 -4078 arXiv Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning 2024.0 -4079 arXiv Impact of Stain Variation and Color Normalization for Prognostic Predictions in Pathology 2024.0 -4080 arXiv PSTNet: Enhanced Polyp Segmentation with Multi-scale Alignment and Frequency Domain Integration 2024.0 -4081 arXiv Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks 2024.0 -4082 arXiv Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data 2024.0 -4083 arXiv Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images 2024.0 https://github.com/uit-hdl/BC_MolSubtyping. -4084 arXiv Consistent Spectral Clustering in Hyperbolic Spaces 2024.0 https://github.com/milaan9/Clustering-Datasets/tree/master/01.%20UCI -4085 arXiv Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM Empowerment 2024.0 -4086 arXiv Enhancing Lesion Segmentation in PET/CT Imaging with Deep Learning and Advanced Data Preprocessing Techniques 2024.0 https://github.com/ClinicalDataScience/datacentric-challenge.git. -4087 arXiv Artificial Intelligence-Based Opportunistic Coronary Calcium Screening in the Veterans Affairs National Healthcare System 2024.0 -4088 arXiv AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT Images 2024.0 https://github.com/ahxmeds/autosegnet2024.git.Thetrainingcodehasbeenshared -4089 arXiv Multi-Cohort Framework with Cohort-Aware Attention and Adversarial Mutual-Information Minimization for Whole Slide Image Classification 2024.0 -4090 arXiv Two Stage Segmentation of Cervical Tumors using PocketNet 2024.0 -4091 arXiv NCT-CRC-HE: Not All Histopathological Datasets Are Equally Useful 2024.0 https://github.com/gmalivenko/NCT-CRC-HE-experiments. -4092 arXiv Automating proton PBS treatment planning for head and neck cancers using policy gradient-based deep reinforcement learning 2024.0 -4093 arXiv Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer 2024.0 https://www.github.com/cerr/CERR -4094 arXiv Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data 2024.0 -4095 arXiv Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency 2024.0 -4096 arXiv TACE: Tumor-Aware Counterfactual Explanations 2024.0 https://github.com/ispamm/TACE. -4097 arXiv Efficient Classification of Histopathology Images 2024.0 -4098 arXiv AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble 2024.0 https://github.com/tanya-chutani-aira/autopetiii -4099 arXiv Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation 2024.0 -4100 arXiv MAR-DTN: Metal Artifact Reduction using Domain Transformation Network for Radiotherapy Planning 2024.0 -4101 arXiv Deep Transfer Learning for Breast Cancer Classification 2024.0 -4102 arXiv Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool 2024.0 https://github.com/cialab/Deep- -4103 arXiv ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features 2024.0 https://github.com/wxwxwwxxx/ViKLtosupportabroadspectrumoffutureresearch. -4104 arXiv An ensemble framework approach of hybrid Quantum convolutional neural networks for classification of breast cancer images 2024.0 -4105 arXiv Segmentation Strategies in Deep Learning for Prostate Cancer Diagnosis: A Comparative Study of Mamba, SAM, and YOLO 2024.0 http://github.com/alibdz/prostate-segmentation. -4106 arXiv Computer Aided Detection and Classification of mammograms using Convolutional Neural Network 2024.0 -4107 arXiv A Review of Artificial Intelligence in Brachytherapy 2024.0 -4108 arXiv Benchmarking Domain Generalization Algorithms in Computational Pathology 2024.0 https://github.com/mostafajahanifar/ -4109 arXiv Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba 2024.0 https://github.com/Swiman/mamba-medical-classification. +title venue year pdf_url paper_id pdf_path xml_path urls_auto urls_manual errors code_reproducibility_manual code_reproducibility_auto +2.5D Thermometry Maps for MRI-guided Tumor Ablation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 fc27c72f5cfd67af [] "[""https://github.com/jalpers/2.5DThermometryReconstruction""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c612840b6d4ec1e1 [] "[""https://jugit.fz-juelich.de/c.schiffer/miccai2021_2d_histology_meets_3d_topology""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D Brain Midline Delineation for Hematoma Patients | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 814a81200a5c2a3d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D Graph-S2Net: Shape-Aware Self-Ensembling Network for Semi-Supervised Segmentation with Bilateral Graph Convolution | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7d551db92ca25807 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 69ce43ff239bada7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D Transformer-GAN for High-quality PET Reconstruction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 099c87b8f62c4f4d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 523af92b4a12ff0c [] "[""https://github.com/VinAIResearch/3D-UCaps""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +4D-CBCT Registration with a FBCT-derived Plug-and-Play Feasibility Regularizer | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 29b537a4afa7f6b0 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +4D-Foot: A fully automated pipeline of four-dimensional analysis of the foot bones using bi-plane X-ray video and CT | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0a80257d180dedef [] "[""https://github.com/YoshitoOtake/4DFoot""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-domain Classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9aff6ba9857b2945 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A computational geometry approach for modeling neuronal fiber pathways | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 47a4817255a81d2d [] "[""https://github.com/UCSB-VRL/ReebGraph""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Data-driven Approach for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3ac4e78d50f3f93e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep Discontinuity-Preserving Image Registration Network | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 500e344de69d75c4 [] "[""https://github.com/cistib/DDIR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 69f6f035ad379f54 [] "[""https://github.com/DurrLab/CycleTrack""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep Network for Joint Registration and Parcellation of Cortical Surfaces | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b4bc55d9367750df [] "[""https://github.com/zhaofenqiang/JointRegAndParc""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep Reinforced Tree-traversal Agent for Coronary Artery Centerline Extraction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 4b755dc041e7e676 [] "[""https://github.com/LzVv123456/Deep-Reinforced-Tree-Traversal""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Hierarchical Feature Constraint to CamouflageMedical Adversarial Attacks | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 31b9fc268fd699b0 [] "[""https://github.com/qsyao/Hierarchical_Feature_Constraint""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A hybrid attention ensemble framework for zonal prostate segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 5928508c77681198 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Line to Align: Deep Dynamic Time Warping for Retinal OCT Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 aa00fae3eebd6267 [] "[""http://people.duke.edu/~sf59/Chiu_BOE_2014_dataset.htm""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Location Constrained Dual-branch Network for Reliable Diagnosis of Jaw Tumors and Cysts | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 cad086e755d459ac [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Matrix Auto-encoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f9dea1c6bd7eba4c [] "[""https://github.com/Niharika-SD/Matrix-Autoencoder""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f7771d986892f0a7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multi-Branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 8e283b05f0755166 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Neural Framework for Multi-Variable Lesion Quantification Through B-mode Style Transfer | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 577fa3907eb50cd0 [] "[""https://github.com/joseph9337/BQI-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A new Approach to Orthopedic Surgery Planning using Deep Reinforcement Learning and Simulation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 673d07dbdfe03e93 [] "[""https://caspa.visualstudio.com/CARD public/_git/MICCAI21_DRL_FHRO""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 2d1a35c599d63f46 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 02cb6f7492062c75 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 405ccb31ba9a192b [] "[""https://github.com/Rokken-lab6/Failure-Analysis-and-Model-Repairment""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Segmentation-Assisted Model for Universal Lesion Detection with Partial Labels | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 fa28fc2fcd6b3a3e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A self-supervised deep framework for reference bony shape estimation in orthognathic surgical planning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 76c8bff6825c26e0 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 cf0fd4695c37051c [] "[""https://github.com/osmond332/Spatial_Guided_Self_Supervised_Clustering""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A spherical convolutional neural network for white matter structure imaging via diffusion MRI | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 2bd272acf507e872 [] "[""https://gitlab.inria.fr/ssedlar/fourier_s2cnn""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Structural Causal Model MR Images of Multiple Sclerosis | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 260d36f6e1f6fc16 [] "[""https://github.com/jcreinhold/counterfactualms""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Topological-Attention ConvLSTM Network and Its Application to EM Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 edcf51b233a91ac0 [] "[""https://github.com/YangjiaqiDig/Topology-Attention-ConvLSTM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 018c606d82984e35 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Acceleration by deep-learnt sharing of superfluous information in multi-contrast MRI | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c551e76c0db91f05 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accounting for Dependencies in Deep Learning based Multiple Instance Learning for Whole Slide Imaging | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b371dc9282e882e0 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accurate parameter estimation in fetal diffusion-weighted MRI - learning from fetal and newborn data | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 36e6ad32d6539a77 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 72b9a82971eb94a2 [] "[""https://github.com/Wangyixinxin/ACN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Acoustic-based Spatio-temporal Learning for Press-fit Evaluation of Femoral Stem Implants | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 409264fa2e396fc1 [] "[""https://caspa.visualstudio.com/CARD public/_git/AudioFemoralStem""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Active Cortex Tractography | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 df612b6d822ba015 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 750192abe7df4b1e [] "[""https://www.med.upenn.edu/sbia/brats2018/data.html""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3ef3e01c3d648ee1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3c6455804fe41f9f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adversarial learning of cancer tissue representations | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 13ef84312af51ab1 [] "[""https://github.com/AdalbertoCq/Adversarial-learning-of-cancer-tissue-representations""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Airway Anomaly Detection by Graph Neural Network | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 2c12f2d216ddd051 [] "[""https://github.com/tznbz/Airway-Anomaly-Detection-by-Prototype-based-Graph-Neural-Network.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7b6a86e81022b983 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Alleviating Data Imbalance Issue with Perturbed Input during Inference | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b82ea9acc9729d19 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AMINN: Autoencoder-based Multiple Instance Neural Network Improves Outcome Prediction of Multifocal Liver Metastases | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b5171432a40844d7 [] "[""https://github.com/martellab-sri/AMINN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3c19de65f7dfbf88 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9e4bbdc423d51d04 [] "[""https://github.com/neuro-ml/domain_shift_anatomy""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0b9b645ecf05e70c [] "[""https://github.com/bbbbbbzhou/AccSeg-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 066254ccef767b84 [] "[""https://github.com/DIAL-RPI/AnaXNet-Anatomy-Aware-CXR-Classification""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Annotation-efficient Cell Counting | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 87e4deb9003808ea [] "[""https://github.com/cvbmi-research/AnnotationEfficient-CellCounting""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ASC-Net: Adversarial-based Selective Network for Unsupervised Anomaly Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7c9ad34bb5c0faa7 [] "[""https://github.com/raun1/ASC-NET""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Asymmetric 3D Context Fusion for Universal Lesion Detection | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 1b7bc159ca7d325d [] "[""https://github.com/M3DV/AlignShift""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Atlas-Based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 4c91c6979b8df07e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a7fcd199e1e2b888 [] "[""https://github.com/Marie0909/AtrialGeneral""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3cdf97ea252ffc1c [] "[""https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/data""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f6520b283d52e996 [] "[""https://github.com/AishikKonwer95/Prog_Cxr_corrGRU""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 beb83a0e97a83883 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Malaria Cells Detection from Blood Smears under Severe Class Imbalance via Importance-aware Balanced Group Softmax | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0d06d7e9e442e00e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 cafeaf42a32a4652 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Polyp Segmentation via Multi-scale Subtraction Network | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7688be7439693bd2 [] "[""https://github.com/Xiaoqi-Zhao-DLUT/MSNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Severity Rating for Improved Psoriasis Treatment | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 830db5025f6254b3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automating Embryo Development Stage Detection in Time-Lapse Imaging with Synergic Loss and Temporal Learning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f12b599cea41a958 [] "[""https://github.com/llockhar/Embryo-Stage-Onset-Detection""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b778f1ecf35bfa42 [] "[""https://github.com/donglaiw/AxonEM-challenge""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Balanced-MixUp for highly imbalanced medical image classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0fba18e63b4aa048 [] "[""https://github.com/agaldran/balanced_mixup""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bayesian Atlas Building with Hierarchical Priors for Subject-specific Regularization | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c774a1aaa4d60cb3 [] "[""https://github.com/jw4hv/HierarchicalBayesianAtlasBuild""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b56aebfd6cb456ff [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Beyond Non-Maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 01e43a1500ce555c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BI-RADS Classification of Calcification on Mammograms | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 adb3aba844800d0a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b662ae174be404b8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Boundary-aware Transformers for Skin Lesion Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 cbb949a13a33d3df [] "[""https://github.com/jcwang123/BA-Transformer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bounding Box Tightness Prior for Weakly Supervised Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3a15beee6ab21304 [] "[""https://github.com/wangjuan313/wsis-boundingbox""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 79b618e2b4b0be76 [] "[""https://github.com/llmir/MultitaskOCTA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 749d3f08eefc3382 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CA^{2.5}-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f0e829e8e9c750b5 [] "[""https://www.kaggle.com/hjh415/ca25net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CA-Net: Leveraging Contextual Features for Lung Cancer Prediction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 4daee3618650e304 [] "[""https://www.kaggle.com/c/data-science-bowl-2017""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cardiac Transmembrane Potential Imaging with GCN Based Iterative Soft Threshold Network | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d9613e0073361884 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +C-arm positioning for spinal standard projections in different intra-operative settings | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7472bb7e75fbc18e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b2dafda5590389d9 [] "[""https://github.com/ZhangxinruBIT/CarveMix.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CataNet: Predicting remaining cataract surgery duration | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f92a78213512b7f1 [] "[""https://github.com/aimi-lab/catanet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 ceec76c3fd1205b9 [] "[""https://github.com/hathawayxxh/CRCKD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 23ea428ee69d6b38 [] "[""https://github.com/ntcongvn/CCBANet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 47d4c5b5e868397b [] "[""https://github.com/FujiiKazuma/CDFIAPLSUP.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 452fe65c063a9ca9 [] "[""https://github.com/chohenu/Cell_Detection-MICCAI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 5721d9f69b642211 [] "[""https://github.com/mostafajahanifar/SNA_MICCAI21""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Chest Radiograph Disentanglement for COVID-19 Outcome Prediction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f850539274e4ef08 [] "[""https://github.com/cvlab-stonybrook/LSAE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 76605c8c6e77b915 [] "[""https://github.com/XuMengyaAmy/CIDACaptioning/settings""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Coarse-to-fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 739f95164475ab8b [] "[""https://github.com/DeepMedLab/Coarse-to-fine-segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e082231d8776e2c9 [] "[""https://github.com/tajwarabraraleef/coSegGAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e9d725738d2fe6d4 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 1aac0c3d15d9672e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Colorectal Polyp Classification from White-light Colonoscopy Images via Domain Alignment | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 4487e32ce7b09081 [] "[""https://github.com/qinwang-ai/PolypsAlign""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 72f7e644810ed97d [] "[""https://github.com/ai-med/DAFT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Combining Attention-based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b925372fd48f313b [] "[""https://github.com/YunanWu2168/Att-based-MIL-and-GPMIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comprehensive Importance-based Selective Regularization for Continual Segmentation Across Multiple Sites | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 395e9341196c1a35 [] "[""https://github.com/jingyzhang/CISR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional Deformable Image Registration with Convolutional Neural Network | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 1e44708f8abe2359 [] "[""https://github.com/cwmok/Conditional_LapIRN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional GAN with an Attention-based Generator and a 3D Discriminator for 3D Medical Image Generation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 ce341636a9e6fab6 [] "[""https://github.com/EuijinMisp/ADESyn""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional Training with Bounding Map for Universal Lesion Detection | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a8e0ade4c228435a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Confidence-aware Cascaded Network for Fetal Brain Segmentation on MR Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 657dae41f1e8f4b3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9813fdb1ff15eb96 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 2108a3179358ff7e [] "[""https://github.com/tianyu0207/CCD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases based on Deep Learning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 4549056afa89664c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 86075b2c0c02e5d2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Context-aware virtual adversarial training for anatomically-plausible segmenation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9858ec33addacd68 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 1069c78c2d8c03c6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Continuous-Time Deep Glioma Growth Models | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 148d58375434af95 [] "[""https://github.com/MIC-DKFZ/deep-glioma-growth""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrastive Learning Based Stain Normalization Across Multiple Tumor Histopathology | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d0dbb425a5a51544 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 bbd768c483082d6c [] "[""https://github.com/HiLab-git/RPR-Loc""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrastive Learning with Continuous Proxy Meta-Data For 3D MRI Classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 4bee6c24024266e1 [] "[""https://github.com/Duplums/yAwareContrastiveLearning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 5bb9a24d91b01884 [] "[""https://github.com/awenbocc/cprd""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Controllable cardiac synthesis via disentangled anatomy arithmetic | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 5dabeacbc8d95715 [] "[""https://github.com/vios-s/DAA-GAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Convolution-Free Medical Image Segmentation using Transformer Networks | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3fdb354dd410dfd1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 daebc65147c9be08 [] "[""https://github.com/cherise215/Cooperative_Training_and_Latent_Space_Data_Augmentation""]" "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cost-Sensitive Meta-Learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 ee60a21bb5f51f51 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 88e82f4a1512549e [] "[""https://github.com/YtongXie/CoTr""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Covariate Correcting Networks for Identifying Associations between Socioeconomic Factors and Brain Outcomes in Children | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0629f9a1124c81f2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Chamber Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0b12b0a6f6e16429 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f84b974848e8b73d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-modal Attention for MRI and Ultrasound Volume Registration | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 aa783bff499b6ea2 [] "[""https://github.com/DIAL-RPI/Attention-Reg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Culprit-Prune-Net: Efficient Continual Sequential Multi-Domain Learning with Application to Skin Lesion Classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 2356f563772e3145 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DAE-GCN: Identifying Disease-Related Features for Disease Prediction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 179274ffad5e1fd8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b2202ddafe694d30 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data-driven mapping between functional connectomes using optimal transport | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d77cabe74100074a [] "[""https://github.com/dadashkarimi/functional-optimal-transport""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9c7f9de03d3912eb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DC-Net: Dual Context Network for 2D Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 ce4ccb2fdee44236 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d694da56e8e08ea0 [] "[""https://db.humanconnectome.org/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Iterative 2D/3D Registration | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 5f957d1b41f196ef [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 226a490ff5ad4d51 [] "[""https://github.com/utcsilab/deep-jsense""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modeling | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7b991300017532e3 [] "[""https://github.com/carlosloza/DNDBN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Open Snake Tracker for Vessel Tracing | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 917113b71a02ac6e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology Pathology Genomic and Clinical Data | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 17b9863fb293926b [] "[""https://wiki.cancerimagingarchive.net/display/Public/TCGA-GBM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Reinforcement Exemplar Learning for Annotation Refinement | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e77ab3f1bab9b057 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 2fc8de0aca0a325e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep-Cleansing: Deep-learning based Electronic Cleansing in Dual-energy CT Colonography | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 6efbbabec9a6e7c8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepMitral: Fully Automatic 3D Echocardiography Segmentation for Patient Specific Mitral Valve Modelling | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 4b45e4be861b808c [] "[""https://github.com/pcarnah/DeepMitral""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepOPG: Improving Orthopantomogram Finding Summarization with Weak Supervision | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f2a7547ee5b6ebab [] "[""https://github.com/stmharry/deepopg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 664f045035833f58 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9bddef1eddf5709e [] "[""https://github.com/daviddmc/Deform2Self""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Demystifying T1-MRI to FDG18-PET Image Translation via Representational Similarity | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a9d503a588647ae8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Depth Estimation for Colonoscopy Images with Self-supervised Learning from Videos | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 54c12523f00ef9f4 [] "[""https://github.com/ckLibra/Self-Supervised-Depth-Estimation-for-Colonoscopy""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 80596f7457e64e6c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 2f673c15755c08c9 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detecting Outliers with Poisson Image Interpolation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c60e1f7c9555f001 [] "[""https://github.com/jemtan/PII""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3fcb3955afea73c5 [] "[""https://github.com/MECLabTUDA/Lifelong-nnUNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detection of critical structures in laparoscopic cholecystectomy using label relaxation and self-supervision | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 35d2bb333b10c55e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Determination of error in 3D CT to 2D fluoroscopy image registration for endobronchial guidance | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 16cf568cef456721 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c9b256f6554b8405 [] "[""https://github.com/stlukyanenko/lc-crf-embryo-classification""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Disentangled and Proportional Representation Learning for Multi-View Brain Connectomes | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a710853d4e3ed0d4 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Disentangled Sequential Graph Autoencoder for Preclinical Alzheimerâ_x0080__x0099_s Disease Characterizations from ADNI Study | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 58095ab3c84f71a5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distilling effective supervision for robust medical image segmentation with noisy labels | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 af39c9326f086f83 [] "[""https://github.com/shijial/PINT_code""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e2744b4a54f86d3c [] "[""https://github.com/YifYang993/FC-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distortion Energy for Deep Learning-based Volumetric Finite Element Mesh Generation for Aortic Valves | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 6d4f94218ecb07f3 [] "[""https://github.com/danpak94/Deep-Cardiac-Volumetric-Mesh""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DLLNet: An Attention-based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b4d539cfd5b02367 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Do we need complex image features to personalize treatment of patients with locally advanced rectal cancer? | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 ff1f4fbb9347f962 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 5c3ec17139e08730 [] "[""https://github.com/HiLab-git/DCA-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 80a8f817964d347f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 2a9c252e1a6c2cfa [] "[""https://github.com/yfzon/DT-MIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f49fa6c501c9d573 [] "[""https://github.com/poiuohke/UDC-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual-Domain Adaptive-Scaling Non-Local Network for CT Metal Artifact Reduction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 21f3c8307d7858a2 [] "[""https://github.com/zjk1988/DAN-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e2392239ba42b147 [] "[""https://github.com/himashi92/Duo-SegNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Early Detection of Liver Fibrosis Using Graph Convolutional Networks | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f41e4e5408095b3f [] "[""https://github.com/mkatw/gnn-fibrosis""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3f22b2374e942d3a [] "[""https://github.com/XiaoweiXu/EchoCP-An-Echocardiography-Dataset-in-Contrast-Transthoracic-Echocardiography-for-PFO-diagnosis""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 48f652f6149da189 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9d58ce9e6bf0cddd [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Effective semantic segmentation in Cataract surgery: What matters most? | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a3fd79fc5f0cb7c8 [] "[""https://github.com/RViMLab/MICCAI2021_Cataract_semantic_segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions during Clinical Evaluation of Medical Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 db13a33ac3ee6ac4 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 4886c6899a9d9aa9 [] "[""https://github.com/jcwang123/DMNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient neural network approximation of robust PCA for automated analysis of calcium imaging data | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 89f61e1e21b8a892 [] "[""https://github.com/NICALab/BEAR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b9c88798f23783e7 [] "[""https://github.com/HiLab-git/SSL4MIS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 486dc07777baa8ee [] "[""https://git.openi.org.cn/capepoint/EllipseNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EMA: Auditing Data Removal from Trained Models | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e9d45b7735a82829 [] "[""https://github.com/Hazelsuko07/EMA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EMDQ-SLAM: Real-time High-resolution Reconstruction of Soft Tissue Surface from Stereo Laparoscopy Videos | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 68dbaefd62fdcdcf [] "[""https://github.com/haoyinzhou/EMDQ_C""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EndoUDA: A modality independent segmentation approach for endoscopy imaging | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 6aa15d9e635bb6d9 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +End-to-end Ugly Duckling Sign Detection for Melanoma Identification with Transformers | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 aabdbde75343827e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +End-to-end Ultrasound Frame to Volume Registration | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 565557b96e8812d9 [] "[""https://github.com/DIAL-RPI/FVR-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Energy-Based Supervised Hashing for Multimorbidity Image Retrieval | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 6c4cc41d725b44f1 [] "[""https://academictorrents.com/details/557481faacd824c83fbf57dcf7b6da9383b3235a""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data Augmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 73d8a51776b97094 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Equivariant Filters for Efficient Tracking in 3D Imaging | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 89d186cfa5641ff5 [] "[""https://github.com/dcmoyer/rxfm-net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Estimation of High Frame Rate Digital Subtraction Angiography Sequences at Low Radiation Dose | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 232df61712396d3c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Estimation of spontaneous neuronal activity using homomorphic filtering | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d185b6a0113259ae [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable Classification of Weakly Annotated Wireless Capsule Endoscopy Images based on a Fuzzy Bag-of-Colour Features Model and Brain Storm Optimization | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 309ed947af4b720c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 dbf2bd9b3c99de9c [] "[""https://github.com/CAMP-eXplain-AI/CheXplain-IBA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b65bf7fc98c86956 [] "[""https://github.com/liniez/HIAE/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Facial and cochlear nerves characterization using deep reinforcement learning for landmark detection | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 2992ae450afad8bf [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 fa6d8c60f6f3243a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 fe8c30ad2bb9d859 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Federated Contrastive Learning for Decentralized Unlabeled Medical Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 41f1fafb0e5237e6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Federated Contrastive Learning for Volumetric Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 789d47d8a26c69b4 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a89969ef127babbf [] "[""https://github.com/liuquande/FedIRM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 57850caa72c7165a [] "[""https://monai.io/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FedPerl: Semi-Supervised Peer Learning for Skin Lesion Classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9876eeff1b5adc60 [] "[""https://github.com/tbdair/FedPerlV1.0""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Few Trust Data Guided Annotation Refinement for Upper Gastrointestinal Anatomy Recognition | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d8a7d7d69bc57da2 [] "[""https://github.com/Liian/Few-trust-data-guided-annotation-refinement""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Few-Shot Domain Adaptation with Polymorphic Transformers | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 09bb8a2a8eaf2685 [] "[""https://github.com/askerlee/segtran""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Few-shot Transfer Learning for Hereditary Retinal Diseases Recognition | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 61edc3f6b4218e95 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fighting Class Imbalance with Contrastive Learning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 fded68535956c0c3 [] "[""https://github.com/YMarrakchi/CICL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Flip Learning: Erase to Segment | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f7fc58153387909a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f65e55c5a5f0ce69 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0e03b14724679cdd [] "[""https://github.com/nadeemlab/CEP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 26f6dbd4ed06da1e [] "[""https://github.com/neurdylab/deep-physio-recon""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 bc2fa87bca144061 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fully Test-time Adaptation for Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 1c5af4434b407f1b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Functional Magnetic Resonance Imaging data augmentation through conditional ICA | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 390c9f6c21dcff38 [] "[""https://github.com/BTajini/augfmri""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generalised Super Resolution for Quantitative MRI Using Self-Supervised Mixture of Experts | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 40c4f1651f028ec5 [] "[""https://github.com/hongxiangharry/SS-MoE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-specific Pruning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 86a0054d04186a29 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 8534d001b4f45506 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generator Versus Segmentor: Pseudo-healthy Synthesis | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3951522a3260fec8 [] "[""https://github.com/Au3C2/Generator-Versus-Segmentor""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e589cb9c7fee0f70 [] "[""http://preprocessed-connectomes-project.org/abide/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GloFlow: Whole Slide Image Stitching from Video using Optical Flow and Global Image Alignment | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b6d96dafdd4a644b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GQ-GCN: Group Quadratic Graph Convolutional Network for Classification of Histopathological Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a1882b62ac4ea371 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Graph Transformers for Characterization and Interpretation of Surgical Margins | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 eafbbc7605b51cec [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a736e03471735d8b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Harmonization with Flow-based Causal Inference | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 63d9212fceaa6586 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos using Learnable Temporal Difference | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 75553f0e9f944333 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3b256c20ad92c24a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical graph pathomic network for progression free survival prediction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 8f5d1ddfa24f13a4 [] "[""https://github.com/zcwang0702/HGPN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 6c7137adc2898a80 [] "[""https://github.com/WuLabMDA/HierarchicalGraphModeling""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3ef7416fda360bcc [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Highly Reproducible Whole Brain Parcellation in Individuals via Voxel Annotation with Fiber Clusters | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3dd9790ec3d902db [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +High-particle simulation of Monte-Carlo dose distribution with 3D ConvLSTMs | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d195e95312ab1268 [] "[""https://git.io/JcbxD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 06d30a88b74f62e0 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +High-resolution segmentation of lumbar vertebrae from conventional thick slice MRI | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 30082ade1fe350ca [] "[""https://github.com/FedeTure/ReconNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HRENet: A Hard Region Enhancement Network for Polyp Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 4cf31b8c2d5776c6 [] "[""https://github.com/CathySH/HRENet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e5c4030d33d8eeb9 [] "[""https://hsdb-instrument.github.io/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 debbd671be005024 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid graph convolutional neural networks for anatomical segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d27a96cfe65816ca [] "[""https://github.com/ngaggion/HybridGNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid Supervision Learning for Whole Slide Image Classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 cbaa842ce51024de [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b192bcd0981f4846 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Image-based Incision Detection for Topological Intraoperative 3D Model Update in Augmented Reality Assisted Laparoscopic Surgery | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b15db9bb52728a95 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Image-derived phenotype extraction for genetic discovery via unsupervised deep learning in CMR images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 4c96776674d58ed6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Image-to-Graph Convolutional Network for Deformable Shape Reconstruction from a Single Projection Image | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7c324d958a495d59 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 50e509ee14c1c736 [] "[""https://github.com/hongweilibran/imbalanced-SSL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Implicit field learning for unsupervised anomaly detection in medical images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 793a2ecb5cb34d13 [] "[""https://github.com/snavalm/ifl_unsup_anom_det""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Implicit Neural Distance Representation for Unsupervised and Supervised Classification of Complex Anatomies | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 1c2d4447e789d6d9 [] "[""https://github.com/kristineaajuhl/Implicit-Neural-Distance-Representation-of-Complex-Anatomie""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 4e5f7afcc642f7bc [] "[""https://github.com/lchdl/NLL_anomaly_detection""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 2e3d3f2a579dc987 [] "[""https://github.com/mars11121/EPNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving hexahedral-FEM-based plasticity in surgery simulation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d7d185147b325905 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 58cd19e4654cd9a6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving the Explainability of Skin Cancer Diagnosis Using CBIR | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 882b6ec804751ea8 [] "[""https://github.com/catarina-barata/CBIR_Explainability_Skin_Cancer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 ef337150c7741487 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Increasing Consistency of Evoked Response in Thalamic Nuclei During Repetitive Burst Stimulation of Peripheral Nerve in Humans | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 2be97464302c3559 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7356311d5b7a4a73 [] "[""https://github.com/hongwang01/InDuDoNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Instance-aware Feature Alignment for Cross-domain Cell Nuclei Detection in Histopathology Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 391f581474584d0b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 8b72a5f16579f202 [] "[""https://github.com/ZeyuGaoAi/Instance_based_Vision_Transformer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integration of Patch Features through Self-Supervised Learning and Transformer for Survival Analysis on Whole Slide Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d10195b1980e65a5 [] "[""https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 1f1583c103b371b8 [] "[""https://github.com/ReubenDo/InExtremIS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interactive segmentation via deep learning and B-spline explicit active surfaces | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 646b46206fbd0b8e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interactive smoothing parameter optimization in DBT Reconstruction using Deep learning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 137ad00e3ce59bee [] "[""https://github.com/PranjalSahu/InteractiveSmoothingDBT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interhemispheric functional connectivity in the primary motor cortex distinguishes between training on a physical and a virtual surgical simulator | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3b4eb1bbed6ae342 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable deep learning for multimodal super-resolution of medical images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 ff125fb52b0ef140 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable gender classification from retinal fundus images using BagNets | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 6d03539483096d02 [] "[""https://github.com/berenslab/genderBagNets""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Inter-Regional High-level Relation Learning from Functional Connectivity via Self-Supervision | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b4addb109176c746 [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 17c4a9385914f706 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Intra-operative Update of Boundary Conditions for Patient-specific Surgical Simulation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 25d103936be90475 [] "[""https://gitlab.com/altairLab/banet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c22eb8a60179f551 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +I-SECRET: Importance-guided fundus image enhancement via semi-supervised contrastive constraining | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 5159836e19a339cf [] "[""https://github.com/QtacierP/ISECRET""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 1b5b5a5d33e60859 [] "[""https://github.com/shuowang26/SRHeart""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 1bf02343eaaaa114 [] "[""https://github.com/alanqrwang/csfm""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint PVL Detection and Manual Ability Classification using Semi-Supervised Multi-task Learning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c61612096946b077 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Segmentation and Quantification of Main Coronary Vessels Using Dual-branch Multi-scale Attention Network | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7263d13881ca9d6b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Spinal Centerline Extraction and Curvature Estimation with Row-wise Classification and Curve Graph Network | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9fbc03d1b700e695 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0251d4af0f912dc1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a19d76f38bee4ca2 [] "[""https://github.com/john-x-jiang/phy_geo""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Labels-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 588f94f98156efdd [] "[""https://github.com/LucasFidon/fetal-brain-segmentation-partial-supervision-miccai21""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3ddbb4a60157b79e [] "[""https://github.com/YanglanOu/LambdaUNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LDPolypVideo Benchmark: A Large-scale Colonoscopy Video Dataset of Diverse Polyps | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 34124049ea0ba175 [] "[""https://github.com/dashishi/LDPolypVideo-Benchmark""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0af49ec73c7e5c35 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learnable Oriented-Derivative Network for Polyp Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d28fbd5eb2a91003 [] "[""https://github.com/midsdsy/LOD-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learned super resolution ultrasound for improved breast lesion characterization | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a3246774c9f7553d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 5359885e7151c219 [] "[""https://github.com/zhaofenqiang/GroupwiseReg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 4d1aa2243a3e398a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Dual Transformer Network for Diffeomorphic Registration | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 5b80fe0c0143571c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0a8eff1e81bd705b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 09b0a5d4b78c60e2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Neuron Stitching for Connectomics | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7e5d9415ad5a9b6e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 5ff7f43444739ba8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning to Address Intra-segment Misclassification in Retinal Imaging | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d14fa1f162eb49e0 [] "[""https://github.com/rmaphoh/Learning-AVSegmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning to Predict Error for MRI Reconstruction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e291b34390ac7e4d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Unsupervised Parameter-specific Affine Transformation for Medical Images Registration | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 bc0c40be45eb6097 [] "[""https://github.com/xuuuuuuchen/PASTA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3d1daee9300861ab [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 85652ca367694c94 [] "[""https://github.com/histocartography/seg-gini""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning with Noise: Mask-guided Attention Model for Weakly Supervised Nuclei Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 75f7f3e9c1bc98bf [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning-based attenuation quantification in abdominal ultrasound | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 66f292e38eea9f55 [] "[""https://github.com/MyeonggeeKim/Learning-based-attenuation-quantification-in-abdominal-ultrasound""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 919e3be50cd241f4 [] "[""https://github.com/Negin-Ghamsarian/AdaptNet-MICCAI2021""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 178feb13ac1c6365 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d4ba5f5d446f0584 [] "[""https://github.com/YijinHuang/Lesion-based-Contrastive-Learning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 21d570f2c08bc523 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 8bdb166151d42740 [] "[""https://github.com/jackjacktang/LG-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3c525ca3ac227278 [] "[""https://github.com/DeweiHu/LIFE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Linear Prediction Residual for Efficient Diagnosis of Parkinsonâ_x0080__x0099_s Disease from Gait | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 93506b37a56563cd [] "[""https://github.com/devalab/parkinsonsfromgait""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Local Morphological Measures Confirm that Folding within Small Partitions of the Human Cortex Follows Universal Scaling Law | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 bfbab70b2f1c33b7 [] "[""https://github.com/KarolineLeiberg/folding_pointwise""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Local-global Dual Perception based Deep Multiple Instance Learning for Retinal Disease Classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0897f50acd6fa1b3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f3f6b7ae31bc8825 [] "[""https://github.com/QingyuZhao/LCA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 69c9f348405a2fc5 [] "[""https://github.com/lilygoli/longitudinalCOVID""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Longitudinal self-supervision to disentangle inter-patient variability from disease progression | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 ea3b532a1ed01ef0 [] "[""https://github.com/RaphaelCouronne/longitudinal_autoencoder""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 026a26fb591fd0b9 [] "[""https://github.com/amogh3892/LuMiRa-An-Integrated-Lung-Deformation-Atlas-and-3D-CNN-model-of-Infiltrates-for-COVID-19-Prognosis.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0a3b87725ff46350 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MASC-Units: Training Oriented Filters for Segmenting Curvilinear Structures | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 1cbf66c2a1e24327 [] "[""https://github.com/Zewen-Liu/MASC_algorithm""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MBFF-Net: Multi-Branch Feature Fusion Network for Carotid Plaque Segmentation in Ultrasound | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 be14ab16dd4cd4ec [] "[""https://github.com/mishiyu/MBFF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Medical Image Registration Based on Uncoupled Learning and Accumulative Enhancement | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9962eede0cbc6332 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Medical Matting: A New Perspective on Medical Segmentation with Uncertainty | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3ce0782b02df561d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Medical Transformer: Gated Axial-Attention for Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 66b14257e8fb9230 [] "[""https://github.com/jeya-maria-jose/Medical-Transformer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Memory-efficient Learning for High-dimensional MRI Reconstruction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 882a75b210946849 [] "[""https://github.com/mikgroup/MEL_MRI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MetaCon: Meta Contrastive Learning for Microsatellite Instability Detection | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 bc08498b9c4a478a [] "[""https://doi.org/10.5281/zenodo.2530835""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Meta-Modulation Network for Domain Generalization in Multi-site fMRI Classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b01ccb79589d8741 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 30a7125ea9dcf85c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b832d4267b559be1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3613906b01a49f96 [] "[""https://github.com/greentreeys/MIL-VT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 dc5039a0994f726e [] "[""https://github.com/hamghalam/MGP-VAE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 724ffc5c8b89f376 [] "[""https://github.com/YaoZhang93/MAML""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 fb6226e481babec5 [] "[""https://github.com/pcicales/MICCAI_2021_aglom""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f3d98048b4c3f9cc [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 784ac872ad82afc2 [] "[""https://github.com/yu56500/MouseGAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MRI Super-Resolution Through Generative Degradation Learning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 70ed3574b4146d70 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19 | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3ab317f1161c651f [] "[""https://github.com/TangWen920812/M-SEAM-NAM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MT-UDA: Towards Unsupervised Cross-Modality Medical Image Segmentation with Limited Source Labels | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d066a0c0762f743b [] "[""https://github.com/jacobzhaoziyuan/MT-UDA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Compound Transformer for Accurate Biomedical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d80550a45b451d00 [] "[""https://github.com/JiYuanFeng/MCTrans""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 42b8cbc2da8b5468 [] "[""https://github.com/chunmeifeng/MINet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a5a1a8297d02e956 [] "[""https://github.com/sa867/multiframe_attention_3d_echo""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 fa118473ed4f5f73 [] "[""https://github.com/lingyunwu14/STFT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d1e280b522ab4b3a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-level Relationship Capture Network for Automated Skin Lesion Recognition | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7385613de33492a5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal MRI Acceleration via Deep Cascading Networks with Peer-layer-wise Dense Connections | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 ce06466860902c4b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-modal Multi-instance Learning using Weakly Correlated Histopathological Images and Tabular Clinical Information | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 754f4341253112e7 [] "[""https://github.com/yfzon/Multi-modal-Multi-instance-Learning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal Multitask Deep Learning for X-Ray Image Retrieval | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 20bef3ba3b6b2ba6 [] "[""https://physionet.org/content/mimic-cxr/2.0.0/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal Representation Learning via Maximization of Local Mutual Information | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 66317664c9397002 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal Sensing Guidewire for C-arm Navigation with Random UV Enhanced Optical Sensors using Spatio-temporal Networks | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f16cbe2b959afc6b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 48ad95179aa35008 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7c6680fc1c90207d [] "[""https://github.com/biomedia-mira/atmil""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multiple Meta-model Quantifying for Medical Visual Question Answering | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 8cf87287e800a92f [] "[""https://github.com/aioz-ai/MICCAI21_MMQ""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-scale Neural ODEs for 3D Medical Image Registration | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 5dbb92482329b74c [] "[""https://www.med.upenn.edu/cbica/brats2020/data.html""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 ede7ce6633f13be3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 601133e9f3060e93 [] "[""https://git.rwth-aachen.de/bcs/projects/tp/multi-stylegan""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Task Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c3572d1376a493e6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-view analysis of unregistered medical images using cross-view transformers | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 87337d0e16048029 [] "[""https://vantulder.net/code/2021/miccai-transformers/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-View Surgical Video Action Detection via Mixed Global View Attention | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 12bae1a61d765cb6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neighbor Matching for Semi-supervised Learning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 14d2b745014b9661 [] "[""https://github.com/renzhenwang/neighbor-matching""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 77f20a0397182d16 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +nnDetection: A Self-configuring Method for Medical Object Detection | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 bbfa8ae73d750a5d [] "[""https://github.com/MIC-DKFZ/nnDetection""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 93b946f7c3041804 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7762f88aac66b4c8 [] "[""https://github.com/lemoshu/MTCL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 80666c942beaf48f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Non-parametric vignetting correction for sparse spatial transcriptomics images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b5e2a1534018871a [] "[""https://github.com/BoveyRao/Non-parametric-vc-for-sparse-st""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 60fd551cda72b865 [] "[""https://github.com/ZeyuGaoAi/Composite_High_Resolution_Network""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 74bc568f530a02a6 [] "[""https://github.com/zudi-lin/pytorch_connectomics""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Observational Supervision for Medical Image Classification using Gaze Data | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3840ece38d78120d [] "[""https://github.com/HazyResearch/observational""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +OLVA: Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 30b38a3045fbb334 [] "[""https://github.com/DawoodChanti/OLVA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +On the relationship between calibrated predictors and unbiased volume estimation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 cabe3224f4d3815e [] "[""https://github.com/tpopordanoska/calibration_and_bias""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +One-Shot Medical Landmark Detection | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3d87ec049abbf95d [] "[""https://github.com/ICT-MIRACLE-lab/Oneshot_landmark_detection""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +OperA: Attention-Regularized Transformers for Surgical Phase Recognition | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c8d8c0554134418f [] "[""https://github.com/tobiascz/OperA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 cbbc07d7e9ef917c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Orthogonal Ensemble Networks for Biomedical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e9f8e198666d47a8 [] "[""https://github.com/agosl/Orthogonal_Ensemble_Networks""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Over-and-Under Complete Convolutional RNN for MRI Reconstruction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3b6c025bca4af39b [] "[""https://github.com/guopengf/OUCR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +OXnet: Deep Omni-supervised Thoracic Disease Detection from Chest X-rays | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 8319dea62f3602b5 [] "[""https://github.com/LLYXC/OXnet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PAC Bayesian Performance Guarantees for (Stochastic) Deep Networks in Medical Imaging | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 5432f8e010ee2c61 [] "[""https://github.com/anthonysicilia/PAC-Bayes-In-Medical-Imaging""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pancreas CT Segmentation by Predictive Phenotyping | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 312f172f4073914b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Parallel Capsule Networks for Classification of White Blood Cells | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7a6ddc47cd92b079 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Partial-supervised Learning for Vessel Segmentation in Ocular Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f7210a015deae467 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c39334418110fbe2 [] "[""https://github.com/Dootmaan/PFSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3b03bd26d5b94db6 [] "[""https://github.com/christinab12/bone-cement-injection-planning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 51dbca66ec68be04 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Perceptual Quality Assessment of Chest Radiograph | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 4b0f08ad74e3cab5 [] "[""https://github.com/ICT-MIRACLE-lab/CXIQ""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Personalized CT Organ Dose Estimation from Scout Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b4dded96b7ea6ee2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Personalized Matching and Analysis of Cortical Folding Patterns via Patch-Based Intrinsic Brain Mapping | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 693055c574cf5d33 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Personalized Respiratory Motion Model Using Conditional Generative Networks for MR-Guided Radiotherapy | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 36dde1219cc0306c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 55a74660350cf95e [] "[""https://github.com/CityU-AIM-Group/PRR-FL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Phase-independent Latent Representation for Cardiac Shape Analysis | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a7c78954f1ebc45f [] "[""https://github.com/Inria-Asclepios/mcvc""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 51b307e7140f075a [] "[""https://github.com/VinAIResearch/Point-Unet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 13c9a6481cea45d1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Positional Contrastive Learning for Volumetric Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 cbbaa66229928558 [] "[""https://github.com/dewenzeng/positional_cl""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 72518524075818ed [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Esophageal Fistula Risks Using a Multimodal Self-Attention Network | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f34f7f3cd561e08e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Symptoms from Multiphasic MRI via Multi-Instance Attention Learning for Hepatocellular Carcinoma Grading | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 aa0f366d212380a2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e76f2d2094ff6fc1 [] "[""https://datahub.aida.scilifelab.se/10.23698/aida/lnco""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19 | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 1420f7155952febf [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Progressively Normalized Self-Attention Network for Video Polyp Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 06b550f0bc7bc8d2 [] "[""https://github.com/GewelsJI/PNS-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 cdea9bc0b9a127c9 [] "[""https://github.com/tsingmessage/projection_wise_disentangling_FRL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7610408d7873f2ef [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prototypical Interaction Graph for Unsupervised Domain Adaptation in Surgical Instrument Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c0b2f90619a7a254 [] "[""https://github.com/CityU-AIM-Group/SePIG""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prototypical models for classifying high-risk atypical breast lesions | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 bc5166e38f9796bd [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 5519425c2bc3ddf5 [] "[""https://github.com/mengweiren/q-space-conditioned-dwi-synthesis""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quality-Aware Memory Network for Interactive Volumetric Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 722aac9ad56d268a [] "[""https://github.com/0liliulei/Mem3D""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quantifying structural connectivity in brain tumor patients | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c774911d0107eab5 [] "[""https://github.com/vctorwei/TumorBrainConnectivity""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quantitative Assessments for Ultrasound Probe Calibration | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 89a2a26dc6cb401e [] "[""https://github.com/chene/ARQOPUS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Radiomics-informed Deep Curriculum Learning for Breast Cancer Diagnosis | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 5de1e8c4aa6f4664 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ranking loss: A ranking-based deep neural network for colorectal cancer grading in pathology images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d5435ca6bfb44c23 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rapid treatment planning for low-dose-rate prostate brachytherapy with TP-GAN | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 235ca18f9f8be722 [] "[""https://github.com/tajwarabraraleef/TP-GAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7af886f6465bc117 [] "[""https://github.com/farrell236/RATCHET""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 924687180e289549 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Real-Time Rotated Convolutional Descriptor for Surgical Environments | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0c1fc44e0e830e27 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reciprocal Learning for Semi-supervised Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f31f47044451f335 [] "[""https://github.com/XYZach/RLSSS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 bdadc672f1784216 [] "[""https://github.com/basiralab/ReMI-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d2844cf559b79c0a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Refined Local-imbalance-based Weight for Airway Segmentation in CT | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 1c26656a10847dd5 [] "[""https://github.com/haozheng-sjtu/Local-imbalance-based-Weight""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Region Ensemble Network for MCI Conversion Prediction With a Relation Regularized Loss | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 615321f407782823 [] "[""http://adni.loni.usc.edu/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 84cf7d0b350ac3f5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Renal Cell Carcinoma Classification from Vascular Morphology | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 acb8e1506801b72a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ReSGAN: Intracranial Hemorrhage Segmentation with Residuals of Synthetic Brain CT Scans | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 96bfeafc1f0c0899 [] "[""https://github.com/miikatoi/ReSGAN-CTICH""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Residual Feedback Network for Breast Lesion Segmentation in Ultrasound Image | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e542074175c19546 [] "[""https://github.com/mniwk/RF-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rethinking Ultrasound Augmentation: A Physics-Inspired Approach | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c12f14253ad87a94 [] "[""https://github.com/mariatirindelli/UltrasoundAugmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b0fd5d61ed756182 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Revisiting contour-driven and knowledge-based deformable models: application to 2D-3D proximal femur reconstruction from X-ray images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 eed900ee58543340 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Revisiting iterative highly efficient optimisation schemes in medical image registration | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9797fc1daff2d7f2 [] "[""https://github.com/lasseha/iter_lbp""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 f512ab7fcfee30b2 [] "[""https://github.com/M3DV/RibSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rician noise estimation for 3D Magnetic Resonance Images based on Benfordâ_x0080__x0099_s Law | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 058c4be78c49cf00 [] "[""https://github.com/icai-uma/RicianNoiseEst_3DMRI_BenfordsLaw.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RLP-Net: Recursive Light Propagation Network for 3-D Virtual Refocusing | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7eaa5b5fb8efa36c [] "[""https://github.com/NICALab/rlpnet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 53e1475c411ec297 [] "[""https://github.com/SharifAmit/RVGAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b5c6d061a519817b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 2ac249eecf48ab7f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a4c9ab7175b8d4f6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scalable joint detection and segmentation of surgical instruments with weak supervision | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 40b0d1c182f9db11 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scalable Axiomatic Explanations of Deep Alzheimerâ_x0080__x0099_s Diagnosis from Heterogeneous Data | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 15e0a166bb5b3936 [] "[""https://github.com/ai-med/SVEHNN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Seg4Reg+: A Local and Global ConsistencyLearning between Spine Segmentation and CobbAngle Regression | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 25a3413ae3d645db [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b19b0c410680a6af [] "[""https://www.ub.edu/mnms/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SegRecon: Learning Joint Brain Surface Reconstruction and Segmentation from Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 5141d0c8179fab60 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Selective Learning from External Data for CT Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b77bf0af3c8d0ad3 [] "[""https://github.com/YouyiSong/Codes-for-Selective-Learning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c146f425a011b8c3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 83df40ac99f10e2a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c766a5744d8a54b1 [] "[""https://github.com/ReaFly/SemiMedSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7820cb64552f54dc [] "[""http://hamlyn.doc.ic.ac.uk/vision/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 65fca333c9a57a98 [] "[""https://github.com/chenhu96/Self-Supervised-MRI-Reconstruction""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c7e6ca73a42a089b [] "[""https://github.com/toson87/MSChangeDetection""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Longitudinal Neighbourhood Embedding | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 62dd5d76aa2bd748 [] "[""https://github.com/ouyangjiahong/longitudinal-neighbourhood-embedding""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Multi-Modal Alignment For Whole Body Medical Imaging | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 90542a3afb2771a5 [] "[""https://github.com/rwindsor1/biobank-self-supervised-alignment""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Vessel Enhancement Using Flow-Based Consistencies | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7d59cfc19fa743c0 [] "[""https://github.com/batmanlab/vessel-flow-consistency-ssl""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-supervised visual representation learning for histopathological images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0152c1cb1c71c8ed [] "[""https://github.com/easonyang1996/CS-CO""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semantic Consistent Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 aeda1a93ef1ac398 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 bf774bcc3a825932 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9cbcef24c008751a [] "[""https://github.com/naivete5656/SCDTC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 fa7a375ce6ed712f [] "[""https://github.com/xhu248/semi_cotrast_seg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 8eee30dbfb696a7c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised Left Atrium Segmentation with Mutual Consistency Training | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 6484bc5436108743 [] "[""http://atriaseg2018.cardiacatlas.org/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 72a89273df44f567 [] "[""https://github.com/vios-s/DGNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 802ee0dae2e24f60 [] "[""https://github.com/nusdbsystem/SSUMML""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 cb028c7e7d4e3f6f [] "[""https://github.com/unibas-gravis/sequential-gpmm""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d58e752ec5e8e6a1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sequential Lung Nodule Synthesis using Attribute-guided Generative Adversarial Networks | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 4e7b769c174f1ada [] "[""https://github.com/SojeongCheon/LSTM_GAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SGNet: Structure-aware Graph-based Network for Airway Semantic Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 1289e850cceef073 [] "[""https://cloud.tsinghua.edu.cn/d/43bbc05fb9714f71a56f/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Shallow Attention Network for Polyp Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3d1fa2395cda27ef [] "[""https://github.com/weijun88/SANet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sharpening Local Interpretable Model-agnostic Explanations for Histopathology: Improved Understandability and Reliability | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 1044980a2492da21 [] "[""https://github.com/maragraziani/MICCAI2021_replicate""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SimTriplet: Simple Triplet Representation Learning with a Single GPU | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 35caa0f9f0eb017a [] "[""https://github.com/hrlblab/SimTriplet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 1b9fc04fd4151e31 [] "[""https://github.com/ccarliu/Retinal-OCT-LayerSeg.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3b831c15c681dad5 [] "[""https://github.com/pakheiyeung/Sli2Vol""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a2e21a7a3c7281cc [] "[""https://github.com/cchen-cc/SFDA-DPL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SPARTA: An Integrated Stability Discriminability and Sparsity based Radiomic Feature Selection Approach | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 46304fef29d37e5a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 084471f92af4cb8b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spectral Embedding Approximation and Descriptor Learning for Craniofacial Volumetric Image Correspondence | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a3cb7426f30dbe9b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 34c73ad5487fd88f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spine-Transformers: Vertebra Detection and Localization in Arbitrary Field-of-View Spine CT with Transformers | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 065755ffe49ed7e4 [] "[""https://github.com/gloriatao/Spine-Transformers""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SSLP: Spatial Guided Self-supervised Learning on Pathological Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0cdb51f15a669d57 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stain Mix-up: Unsupervised Domain Generalization for Histopathology Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 cfea11eeba32a7ca [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stochastic 4D Flow Vector-Field Signatures: A new approach for comprehensive 4D Flow MRI quantification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 41575921d5b5986c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0293bbe584a88034 [] "[""https://github.com/daviddmc/STRESS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 42c2f317b11ba8d5 [] "[""https://github.com/sophiajw/HistAuGAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d3fe54eeea7d8ec6 [] "[""https://github.com/SHI-Labs/SGL-Retinal-Vessel-Segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Style Curriculum Learning for Robust Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 485ab6eccf6a0faa [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 acfafca9abee83b9 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 92f60b79ed1520cd [] "[""https://github.com/gaozhitong/SP_guided_Noisy_Label_Seg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Supervised Contrastive Pre-Training for Mammographic Triage Screening Models | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 8cd2cfd94b3ca541 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Surface-Guided Image Fusion for Preserving Cortical Details in Human Brain Templates | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9f7b54c81e8028ef [] "[""https://www.humanconnectome.org/study/hcp-lifespan-aging/article/lifespan-20-release-hcp-aging-hcp-development-data""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 2577ea54666f4585 [] "[""https://github.com/doughtmw/surgeon-assist-net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Surgical Instruction Generation with Transformers | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 df7307d7d34cee07 [] "[""https://github.com/lulucelia/surgical-instruction""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Surgical Workflow Anticipation using Instrument Interaction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a1e41809abb058db [] "[""https://github.com/Flaick/Surgical-Workflow-Anticipation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Survival Prediction Based on Histopathology Imaging and Clinical Data: A Novel Whole Slide CNN Approach | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d3f077ebf41c6438 [] "[""https://github.com/saloniagarwal0403/SSCNN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Nonâ_x0080__x0093_Contrast CT Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d137349fd929e42f [] "[""https://github.com/GriffinLiang/AISD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SyNCCT: Synthetic Non-Contrast Images of the Brain from Single-Energy Computed Tomography Angiography | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 76269ab120e75766 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synthesis of Contrast-enhanced Spectral Mammograms from Low-energy Mammograms Using cGAN-Based Synthesis Network | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 69642f03cfeb88ab [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synthesizing Multi-Tracer PET Images for Alzheimerâ_x0080__x0099_s Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e5f7c56b51437ba6 [] "[""https://github.com/bbbbbbzhou/UCAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b3df9ec6a3dbdf22 [] "[""https://github.com/cs-xiao/TarGAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 ac71c303b620f586 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Task Fingerprinting for Meta Learning in Biomedical Image Analysis | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c7d6afdd4ecc606c [] "[""https://www.it.pt/AutomaticPage?id=3459""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Task Transformer Network for Joint MRI Reconstruction and Super-Resolution | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 73d25206e23f5523 [] "[""https://github.com/chunmeifeng/T2Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Task-Oriented Low-Dose CT Image Denoising | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7bd3657e9f4dee30 [] "[""https://github.com/DIAL-RPI/Task-Oriented-CT-Denoising_TOD-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 5956afc0169d5a0b [] "[""https://github.com/mwyburd/TEDS-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e12cb09dee242c73 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tensor-based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-state fMRI | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e683e7d183e22932 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e7cb0f2f9821c44f [] "[""https://github.com/sabunculab/text2brain""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization for Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3dfa402c880d78e6 [] "[""http://medicaldecathlon.com/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Topological Learning and Its Application to Multimodal Brain Network Integration | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b765c8e22a0ccd8f [] "[""https://topolearn.github.io/topo-loss""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Topological Receptive Field Model for Human Retinotopic Mapping | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 a92596da81967e44 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards a non-invasive diagnosis of portal hypertension based on an Eulerian CFD model with diffuse boundary conditions | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 b5293be184980fe2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 11548f0fda68664a [] "[""https://github.com/dewenzeng/effort_prediction_mce""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Robust Dual-view Transformation via Densifying Sparse Supervision for Mammography Lesion Matching | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0558db0b526e1c6d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Robust General Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9232855ff588e4eb [] "[""https://github.com/BCV-Uniandes/ROG""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 ef58439cad748f3e [] "[""https://github.com/CAMP-eXplain-AI/CheXplain-Dissection""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c3e70a9de911adb7 [] "[""https://fastmri.org/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Trainable summarization to improve breast tomosynthesis classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9785493ebe140bd0 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 67ad3c1a6b48615f [] "[""https://github.com/wd111624/CMR_plan""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3c040aa4559f016b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TransBTS: Multimodal Brain Tumor Segmentation Using Transformer | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 12e9ee0c153aa6f3 [] "[""https://github.com/Wenxuan-1119/TransBTS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TransCT: Dual-path Transformer for Low Dose Computed Tomography | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 6c6343d7a23f1b38 [] "[""https://github.com/zzc623/TransCT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0113689197d70f06 [] "[""https://github.com/fepegar/gestures-miccai-2021""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 2d492b71e475c7ff [] "[""https://github.com/XinghuaMa/TR-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 d4c35e51348bbdfb [] "[""https://github.com/Rayicer/TransFuse""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TransPath: Transformer-based Self-supervised Learning for Histopathological Image Classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 96794c7356b8a4bd [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 947e7e941ec14e16 [] "[""https://github.com/xjgaocs/Trans-SVNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tripled-uncertainty Guided Mean Teacher model for Semi-supervised Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 47f545a7c63f19ea [] "[""https://github.com/DeepMedLab/Tri-U-MT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 083127389ba5b54c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 49a64b354a1def41 [] "[""https://github.com/YaoZhang93/TumorCP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c7a5897473b52812 [] "[""https://github.com/Medo-ai/TUN-Det""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 29783bd6749a2191 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 2bc55ba63c1f3cca [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 ea141a0b1124d9a2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 1e71c3860bd9a82a [] "[""https://github.com/HReynaud/UVT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty Aware Deep Reinforcement Learning for Anatomical Landmark Detection in Medical Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 ed6f35bd2d030add [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty-Aware Label Rectification for Domain Adaptive Mitochondria Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 c32db82aeb6b1793 [] "[""https://github.com/ngchc/DA-MitoSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty-Guided Progressive GANs for Medical Image Translation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 677811033536ee3c [] "[""https://github.com/ExplainableML/UncerGuidedI2I""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Universal Undersampled MRI Reconstruction | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 7b460f127eb2eaa6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Contrastive Learning of Radiomics and Deep Features for Label-Efficient Tumor Classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9470537b0b2ff3bb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Diffeomorphic Surface Registration and Non-Linear Modelling | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 e6e3758504790fff [] "[""https://gitlab.kuleuven.be/u0132345/deepdiffeomorphicfaceregistration""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Domain Adaptation for Small Bowel Segmentation using Disentangled Representation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 97a0ad361d692488 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Network Learning for Cell Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 74bb7d259bd6cb85 [] "[""https://github.com/LiangHann/USAR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 729f94f10e5fa053 [] "[""https://github.com/SunjHan/Hybrid-Representation-Learning-Approach-for-Rare-Disease-Classification""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 97c2493f9e4446e8 [] "[""https://github.com/983632847/USCL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using Causal Analysis for Conceptual Deep Learning Explanation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 600ff912c35e6c84 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using Multiple Images and Contours for Deformable 3D-2D Registration of a Preoperative CT in Laparoscopic Liver Surgery | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 28f3d83e482a12fd [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 dffe64fe13eb1617 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Variational Topic Inference for Chest X-Ray Report Generation | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 9d039fadc45c3f9c [] "[""https://github.com/ivonajdenkoska/variational-xray-report-gen.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +VertNet: Accurate Vertebra Localization and Identification Network from CT Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 fe4413049775ce60 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vessel Width Estimation via Convolutional Regression | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 94b0160d030fd323 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0710afec8d76f479 [] "[""https://github.com/vinbigdata-medical/vindr-spinexr""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning using Landmark Retrieval | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 6b18aa7f4da6cf2e [] "[""https://github.com/dachengxiaocheng/Visual-Assisted-Probe-Movement.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly supervised pan-cancer segmentation tool | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 162ae299a65cc5c4 [] "[""https://portal.gdc.cancer.gov/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Registration of Prostate MRI and Histopathology Images | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3b43949f2494c09f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 4991afd6b08b7673 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 4f270580f3dff4f8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Whole Heart Mesh Generation For Image-Based Computational Simulations By Learning Free-From Deformations | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 0b6f326506168a35 [] "[""https://github.com/fkong7/HeartFFDNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 3c1c8a4bd5c5c214 [] "[""https://github.com/mahmoodlab/Patch-GCN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +You Only Learn Once: Universal Anatomical Landmark Detection | MICCAI 2021 - Accepted Papers and Reviews MICCAI 2021 bcb08f3e7d99f7b7 [] "[""https://github.com/ICT-MIRACLE-lab/YOLO_Universal_Anatomical_Landmark_Detection""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1bd0b81d2f987aa0 [] "[""https://github.com/Aru321/CVTGAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D Global Fourier Network for Alzheimerâ_x0080__x0099_s Disease Diagnosis using Structural MRI | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3dc4d92f7ddcb071 [] "[""https://github.com/qbmizsj/GFNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +4D-OR: Semantic Scene Graphs for OR Domain Modeling | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 47e290423f1a368f [] "[""https://github.com/egeozsoy/4D-OR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000 | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c49393eaf73ef499 [] "[""https://gitlab.uni-hannover.de/sontje.ihler/chexpert5000""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep-Discrete Learning Framework for Spherical Surface Registration | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 9241bc940fd06546 [] "[""https://github.com/mohamedasuliman/DDR/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Geometry-Constrainted Deformable Attention Network for Aortic Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c8febaa2bbfc6802 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Hybrid Propagation Network for Interactive Volumetric Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 7776000f9fddf5ba [] "[""https://github.com/luyueshi/Hybrid-Propagation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 6fca9bf2d13b8118 [] "[""https://www.med.upenn.edu/sbia/brats2018/data.html""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Medical Semantic-Assisted Transformer for Radiographic Report Generation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1317a6df47cc99d3 [] "[""https://github.com/zwan0839/MSAT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f9d93f44a2684dd5 [] "[""https://github.com/WentianZhang-ML/WDMT-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 007f8e42b229be7b [] "[""https://github.com/jhl-Det/CVA-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3dae5f84f1a4964f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Fusion Network for Morphological Analysis of Common Iliac Artery | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1c371116a45943fa [] "[""https://github.com/SongCASIA/FTU_Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Knowledge Keeper Network for 7T-Free But 7T-Guided Brain Tissue Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 859cdd276cc0e35c [] "[""https://github.com/2jieun2/knowledge_keeper""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 10dd4c9532faa759 [] "[""https://github.com/vento99""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d747db678192720c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 7fc5f0051c03a08f [] "[""https://github.com/himashi92/VT-UNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Self-Guided Framework for Radiology Report Generation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 0fc70b25ea1aa57b [] "[""https://github.com/LijunRio/A-Self-Guided-Framework""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Sense of Direction in Biomedical Neural Networks | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c7523ebd1cf5bef6 [] "[""https://github.com/Zewen-Liu/MASC-Unit""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4c53bb8dfda16776 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 0654558adba97a52 [] "[""https://github.com/Deep-Imaging-Group/RegFormer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 69ca30ac5a57c471 [] "[""https://github.com/guojiajeremy/AANet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accelerated pseudo 3D dynamic speech MR imaging at 3T using unsupervised deep variational manifold learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 6f2587dfbe942adc [] "[""https://github.com/rushdi-rusho/varMRI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accurate and Explainable Image-based Prediction Using a Lightweight Generative Model | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 299ce72530494bea [] "[""https://www.ukbiobank.ac.uk""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 578d8e98f618b53b [] "[""https://nihcc.app.box.com/v/DeepLesion""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 06688468c5ca34c4 [] "[""https://github.com/Garand0o0/FiberTractSegmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-Training | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b7bc286e3909d05b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptation of Surgical Activity Recognition Models Across Operating Rooms | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 6fe0e7be697049d7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3b7544781a552cd7 [] "[""https://github.com/multimodallearning/registration-da-mean-teacher""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 7ac6a50fddf8451f [] "[""https://github.com/pakheiyeung/AdLocUI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d8969ef2efd4e7a2 [] "[""https://github.com/Oulu-IMEDS/AdaTriplet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f7d6d56fefb40904 [] "[""https://www.creatis.insa-lyon.fr/Challenge/acdc/databases.html""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e9750d7ac7171361 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 76d5c0a77f968ff9 [] "[""https://github.com/prinshul/Prototype_NeuralODE_Adv_Attack""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 83e63f7a389d57ab [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Aggregative Self-Supervised Feature Learning from Limited Medical Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 49029802225d3365 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-Lesions | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5a73737ca395fec5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An adaptive network with extragradient for diffusion MRI-based microstructure estimation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 93b2ff5e9d8c5e41 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Advanced Deep Learning Framework for Video-based Diagnosis of ASD | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e6c974f92dad4972 [] "[""https://github.com/xiaotaiyangcmm/DASD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5fdf18bf0ad65d06 [] "[""https://github.com/xiabc612/R-band-chromosome-recognition""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Inclusive Task-Aware Framework for Radiology Report Generation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b4a319463845e403 [] "[""https://github.com/Reremee/ITA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Optimal Control Problem for Elastic Registration and Force Estimation in Augmented Surgery | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1e2641765e1e9148 [] "[""https://github.com/gmestdagh/adjoint-elastic-registration""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Analyzing and Improving Low Dose CT Denoising Network via HU Level Slicing | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 8bfa02fbdfe00c44 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Analyzing Brain Structural Connectivity as Continuous Random Functions | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 80599c049cdc3b95 [] "[""https://github.com/sbci-brain/SBCI_Modeling_FPCA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 015643eff88b5917 [] "[""https://github.com/batmanlab/AGXNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anomaly-aware multiple instance learning for rare anemia disorder classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d416367ccec25132 [] "[""https://github.com/marrlab/Anomaly-aware-MIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 0c7418b1e5bcaea1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 47b0ed328511c1c1 [] "[""https://github.com/nihaomiao/MICCAI22_ADN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Atlas-based Semantic Segmentation of Prostate Zones | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 10bd2b1b9eabebb7 [] "[""https://github.com/OnofreyLab/prostate_atlas_segm_miccai2022""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Atlas-powered deep learning (ADL) - application to diffusion weighted MRI | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f7edfca701770ae1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attention mechanisms for physiological signal deep learning: which attention should we take? | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4320c9e95571aa87 [] "[""https://vitaldb.net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5a5c459a2a360904 [] "[""https://doi.org/10.1016/j.dib.2021.106796""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attention-enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 fab453a58f0219db [] "[""https://github.com/Sunxy11/ADR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attentive Symmetric Autoencoder for Brain MRI Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b4c61689c554d305 [] "[""http://adni.loni.usc.edu/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 425e98ccd3886a3c [] "[""https://github.com/cviaai/AF-PLUS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AutoGAN-Synthesizer: Neural Architecture Search for Cross-Modality MRI Synthesis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 12bf613e57b904da [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 81592a92f520c3dc [] "[""https://autolaparo.github.io""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 dcee9e5ad5d86108 [] "[""https://github.com/uoNuM/two-stream-gma""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual Labeling | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 8edea4f595de68ba [] "[""https://github.com/IRCAD/cvl""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic identification of segmentation errors for radiotherapy using geometric learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d6a7279c27a48c69 [] "[""https://github.com/rrr-uom-projects/contour_auto_QATool""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Segmentation of Hip Osteophytes in DXA Scans using U-Nets | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 29a8936eb57f0ef5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automating Blastocyst Formation and Quality Prediction in Time-Lapse Imaging with Adaptive Key Frame Selection | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 589b1a696ff433db [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automation of clinical measurements on radiographs of childrenâ_x0080__x0099_s hips | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b5c62236ffd62763 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 55049030bfbad7b7 [] "[""https://github.com/SanoScience/BabyNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 870f1c1678e6cda0 [] "[""https://github.com/JingweiSong/BDIS.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 367c1ef9f42984e5 [] "[""https://github.com/moucheng2017/EMSSL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 35aeecd95e68ba28 [] "[""https://github.com/superjamessyx/robustness_benchmark""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b62212591c2bf33f [] "[""https://github.com/monajati/BERTHop""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 bd8a7b0f4f79898a [] "[""https://www.kaggle.com/competitions/ranzcr-clip-catheter-line-classification""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 bb80a768ee9263e9 [] "[""https://github.com/netanellavisdris/fetalbiometry""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 9192a361081215c8 [] "[""https://github.com/NAIST-ICB/BMD-GAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3f3bd08f71f0178f [] "[""https://github.com/changfeng3168/BE-SSL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BoxPolyp: Boost Generalized Polyp Segmentation using Extra Coarse Bounding Box Annotations | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 7dccf815fb39b373 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimerâ_x0080__x0099_s Disease | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b919c4d3514898f1 [] "[""https://github.com/aldraus/BrainAwareReplacementsForAD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c99d865e8d086932 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 368df6e8b0072639 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CACTUSS: Common Anatomical CT-US Space for US examinations | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3dce61684c3f98dd [] "[""https://github.com/danivelikova/cactuss""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 94f1d59f9bf2b5a8 [] "[""https://github.com/xmed-lab/CLD-Semi""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Calibration of Medical Imaging Classification Systems with Weight Scaling | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5ae9abdfbeeec7e6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Camera Adaptation for Fundus-Image-Based CVD Risk Estimation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 82d3507765d80852 [] "[""https://github.com/linzhlalala/CVD-risk-based-on-retinal-fundus-images""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 de627f0e52e45dd7 [] "[""https://github.com/marrlab/SHAPR_torch""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1fe75b4e99fa7d65 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 45a412dd558b1d83 [] "[""https://github.com/hding2455/CaRTS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 afde2240e59b7670 [] "[""https://github.com/ai-med""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1f2f91a0868cccef [] "[""https://github.com/renato145/CASurv""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CephalFormer: Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5d0e7c4ab1b167b3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 cde4f3d7cf7623b8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ee4181b2eb5d44e3 [] "[""https://github.com/Puzzled-Hui/CFDA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Characterization of brain activity patterns across states of consciousness based on variational auto-encoders | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c06bbea73d57b4a2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f2148c99d725206c [] "[""https://github.com/PLAN-Lab/ChexRelNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ChrSNet: Chromosome Straightening using Self-attention Guided Networks | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 06d75efba9df1c01 [] "[""https://github.com/lijx1996/ChrSNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f9800df710423f55 [] "[""https://github.com/nadeemlab/CIR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Class Impression for Data-free Incremental Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b61b5fe1cfe15c0c [] "[""https://github.com/sanaAyrml/Class-Impresion-for-Data-free-Incremental-Learning.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification-aided High-quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 164fe99c92a71afc [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d3129e78740e94af [] "[""https://camelyon16.grand-challenge.org/Data/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 54cdeaac27c7dda5 [] "[""https://github.com/nadeemlab/CEP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 073a27bf68533e0d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Combining mixed-format labels for AI-based pathology detection pipeline in a large-scale knee MRI study | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f61367c5c5d3cb68 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Combining multiple atlases to estimate data-driven mappings between functional connectomes using optimal transport | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e26c543b0f3a7b6d [] "[""https://github.com/dadashkarimi/carot""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 dddc8ea7f958d93d [] "[""https://github.com/GangmingZhao/tb-attribute-weak-localization.""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional Generative Data Augmentation for Clinical Audio Datasets | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 312b89677584b678 [] "[""https://rocs.balgrist.ch/en/open-access/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional VAEs for confound removal and normative modelling of neurodegenerative diseases | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 87a837e8fb0c5048 [] "[""https://github.com/alawryaguila/normativecVAE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d548e305919c2b40 [] "[""https://nihcc.app.box.com/v/ChestXray-NIHCC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Consistency-preserving Visual Question Answering in Medical Imaging | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d6bd59aee9c52435 [] "[""https://github.com/sergiotasconmorales/consistency_vqa""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 63aa9d0f8494c017 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Context-aware Voxel-wise Contrastive Learning for Label Efficient Multi-organ Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 94b1b6b72a595a1b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 9c060649589fc333 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 6fa4f24dbbec07cd [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrast-free Liver Tumor Detection using Ternary Knowledge Transferred Teacher-student Deep Reinforcement Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 612670b2c763ddc1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 550b05155c58c991 [] "[""https://github.com/xuesongwang/Contrastive-Functional-Connectivity-Graph-Learning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrastive learning for echocardiographic view integration | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b829bac49e983810 [] "[""https://github.com/LishinC/VCN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrastive Masked Transformers for Forecasting Renal Transplant Function | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3f1c6e1456575d91 [] "[""https://github.com/leomlck/renal_transplant_imaging""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrastive Re-localization and History Distillation in Federated CMR Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b95527ad783ba4c1 [] "[""https://github.com/JerryQseu/FedCRLD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b1b3a39f32c719b0 [] "[""https://github.com/tianyu0207/weakly-polyp""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Coronary R-CNN: Vessel-wise Method for Coronary Artery Lesion Detection and Analysis in Coronary CT Angiography | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3f4f2c7fec25635f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy Regularity and Interoperability | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f127b501ddef3230 [] "[""https://bitbucket.csiro.au/projects/CRCPMAX/repos/corticalflow/browse""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5bb2e66c22633655 [] "[""https://github.com/ThierryJudge/CRISP-uncertainty""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 6c69d2782b234421 [] "[""https://github.com/ayanglab/CS2""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 13f8e2443676c530 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DA-Net: Dual Branch Transformer and Adaptive Strip Upsampling for Retinal Vessels Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 2b5e0cc01a24d4fd [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dâ_x0080__x0099_ARTAGNAN: Counterfactual Video Generation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b48dc5cb0fc18069 [] "[""https://github.com/HReynaud/dartagnan""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data-Driven Deep Supervision for Skin Lesion Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 2bdcd55edc2c9802 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data-driven Multi-Modal Partial Medical Image Preregistration by Template Space Patch Mapping | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 465a9618b86ed48b [] "[""https://github.com/ApisXia/PartialMedPreregistration""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DDPNet: A novel dual-domain parallel network for low-dose CT reconstruction | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 18768e2c2757e029 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a7b6f9a22948a6f2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1bc6933147245cef [] "[""https://github.com/key1589745/decouple_predict""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep filter bank regression for super-resolution of anisotropic MR brain images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f14052e0d85bdfa8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 32053fd32e2f77e7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep is a Luxury We Donâ_x0080__x0099_t Have | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3b794f8690d6efd9 [] "[""https://github.com/whiterabbit-ai/hct""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Laparoscopic Stereo Matching with Transformers | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 80c0dd7fa1d89aed [] "[""https://github.com/XuelianCheng/HybridStereoNet-main""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning based Modality-Independent Intracranial Aneurysm Detection | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 59e83df16ae2b7c2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 699144e54f7343ff [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning-based Head and Neck Radiotherapy Planning Dose Prediction via Beam-wise Dose Decomposition | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e8b677bf2171c01e [] "[""https://github.com/ukaukaaaa/BeamDosePrediction""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Motion Network for Freehand 3D Ultrasound Reconstruction | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 dbc711406009a8fc [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Multimodal Guidance for Medical Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a44d8a6db689e232 [] "[""https://github.com/mayurmallya/DeepGuide""]" "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 490d09c21f857cca [] "[""https://github.com/CVRS-Hamlyn/Deep-Regression-with-SFFC-and-Image-Synthesis-for-Robot-Assisted-Endomicroscopy.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 53d283f7889d9aea [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 dd8cc5dde6d00638 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep treatment response assessment and prediction of colorectal cancer liver metastases | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 204357a3ca338330 [] "[""https://clinicaltrials.gov/ct2/show/NCT01900717""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3caea9403f788993 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 0992ae3178e521ff [] "[""https://github.com/guyn-idealab/Mouse-MRF-DL/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 557398c242815117 [] "[""https://github.com/YemanBrhane/DeepMIF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 43237ad37f327746 [] "[""https://github.com/Negin-Ghamsarian/DeepPyramid_MICCAI2022""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 be91552063e5f30a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 8edd13933b5f5f4e [] "[""https://github.com/CJSOrange/DMR-Deformer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1a90ffab966c8dd0 [] "[""https://github.com/HeverLaw/PCENet-Image-Enhancement""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c97d251b0dd07a9b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a9573ea94571784c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 0f80511e4d68d453 [] "[""https://github.com/laowangbobo/Residual_MLP_CNN_Mixer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 fabc20e223c6f6d9 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c832148c78beb53d [] "[""https://github.com/yeerwen/DeSD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 9d0651bc1a0ea603 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d5beeffc9bcfa5c9 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DEUE: Delta Ensemble Uncertainty Estimation for a More Robust Estimation of Ejection Fraction | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1d98d80389cf04b2 [] "[""https://echonet.github.io/dynamic/index.html#dataset""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 10822a58450b9fd4 [] "[""https://github.com/miccaiif/DGMIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4a8f9e0430ab8080 [] "[""https://github.com/tk-lunit/miccai2022-annotation-cost""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diffusion Deformable Model for 4D Temporal Medical Image Generation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f09265ee768fadf0 [] "[""https://github.com/torchDDM/DDM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diffusion Models for Medical Anomaly Detection | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3ae4868df739bb66 [] "[""https://gitlab.com/cian.unibas.ch/diffusion-anomaly""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 9cbf313f7eec7fc0 [] "[""https://github.com/MAILAB-Yonsei/CE-Organ-Recognition""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Discrepancy and Gradient-guided Multi-Modal Knowledge Distillation for Pathological Glioma Grading | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 02a53b63e872cb3b [] "[""https://github.com/CityU-AIM-Group/MultiModal-learning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 dc9ee03d6c6ac881 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Disentangle then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 37a9a75780d47da6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DisQ: Disentangling Quantitative MRI Mapping of the Heart | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e7062c084ec95a76 [] "[""https://github.com/Changchun-Yang/DisQ""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 333aa2d9ad6a5e8c [] "[""https://github.com/zoedsy/DK_Topology_PCR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e8a013ee21df08d7 [] "[""https://github.com/weih527/DA-ISC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4187819bf3d6804b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 0e1c15fcf573a818 [] "[""https://github.com/ShishuaiHu/DoCR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4933e88681e9e5c4 [] "[""https://github.com/WinstonHuTiger/2D_VAE_UDA_for_3D_sythesis""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 de10085ed02a4536 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DOMINO: Domain-aware Model Calibration in Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3a02bb2a03d597d1 [] "[""https://github.com/lab-smile/DOMINO""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 bf456e67f0f641dc [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DRGen: Domain Generalization in Diabetic Retinopathy Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 aa5b5e446b3f43c9 [] "[""https://github.com/BioMedIA-MBZUAI/DRGen""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 6dbd78044bbfc89b [] "[""https://github.com/Huangziqi777/DS-3_Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 71210f1f4e3f03f6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DSR: Direct Simultaneous Registration for Multiple 3D Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 fa6b3349ba9076bc [] "[""https://github.com/ZH-Mao/DSR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3e7a6fb89ce63aee [] "[""https://github.com/XiongchaoChen/DuSFE_CrossRegistration""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 16e63c35adc601d7 [] "[""https://github.com/caiyu6666/DDAD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual-graph Learning Convolutional Networks for Interpretable Alzheimerâ_x0080__x0099_s Disease Diagnosis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c2f1d8fb481d6f29 [] "[""https://github.com/xiaotingsong/dGLCN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4a9a0084c9a9b031 [] "[""https://github.com/basiralab/Dual-HINet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d065e569643672e2 [] "[""https://github.com/XAIMI-Lab/DuDoCAF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 105f4adc9582046f [] "[""https://github.com/med-air/imFedSemi""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ce4c8315e315865c [] "[""https://github.com/BioMedIA-MBZUAI/EchoCoTr""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f3d3b222252789bc [] "[""https://github.com/MasoudMo/echognn""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Edge-oriented Point-cloud Transformer for 3D Intracranial Aneurysm Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d65dc3e30a5b4b68 [] "[""https://github.com/CityU-AIM-Group/EPT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 36f7fd6cb20ed705 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient Bayesian Uncertainty Estimation for nnU-Net | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 360e76cb4ade1146 [] "[""https://www.creatis.insa-lyon.fr/Challenge/acdc/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient Biomedical Instance Segmentation via Knowledge Distillation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 824846154dfe45c7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient population based hyperparameter scheduling for medical image segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 8041c6b61ca93827 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Electron Microscope Image Registration using Laplacian Sharpening Transformer U-Net | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 23daae9b4df3218e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Embedding Gradient-based Optimization in Image Registration Networks | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 bb7246de1e78d418 [] "[""https://github.com/gradirn/gradirn""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Embedding Human Brain Function via Transformer | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 51bcde26a4b7b56d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +End-to-End cell recognition by point annotation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f7ab6157d859df9f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +End-to-End Evidential-Efficient Net for Radiomics Analysis of Brain MRI to Predict Oncogene Expression and Overall Survival | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4b0c1ab320cc3375 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 86122451400e5fdd [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 287ca0c22d93cea3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +End-to-End Segmentation of Medical Images via Patch-wise Polygons Prediction | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 82cf4cf8ae45095b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enforcing connectivity of 3D linear structures using their 2D projections | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 36d86bc965ae229c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 8c99880110513e4a [] "[""https://github.com/MoriLabNU/TTN_for_SN_segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c6938fbe9cd7f7d1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 639f52717a1228e1 [] "[""https://github.com/ZerojumpLine/ModelEvaluationUnderClassImbalance""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evidence fusion with contextual discounting for multi-modality medical image segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 bf8d1fa8bccf5c9d [] "[""https://github.com/iWeisskohl/Evidence-fusion-with-contextual-discounting""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a96d79784f0eb938 [] "[""https://github.com/marsggbo/MICCAI2022-EMARS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable Contrastive Multiview Graph Representation of Brain Mind and Behavior | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5c2848b46ee62b56 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explaining Chest X-ray Pathologies in Natural Language | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d4b4dcc8bfb92e93 [] "[""https://github.com/maximek3/MIMIC-NLE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d597a4b6ecf63a13 [] "[""https://github.com/ycwu1997/SS-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Extended Electrophysiological Source Imaging with Spatial Graph Filters | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 141951df9c411455 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f67dd603d2b02f11 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 420c766b9b1cc197 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3336ac9344f356af [] "[""https://github.com/hellodfan/fastFF2FFPE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fast Spherical Mapping of Cortical Surface Meshes using Deep Unsupervised Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 166c309418baaf70 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ce99a956ea3319b0 [] "[""https://www.ukbiobank.ac.uk/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 71a9bd38fd065443 [] "[""https://github.com/PhilipChicco/FRMIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimerâ_x0080__x0099_s disease detection | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 459df0be5cd3712f [] "[""https://github.com/e-pet/adni-bias""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Federated Medical Image Analysis with Virtual Sample Synthesis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c43b2c611c815ed6 [] "[""https://medmnist.com/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Federated Stain Normalization for Computational Pathology | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 219046850ed7c13e [] "[""https://github.com/MECLabTUDA/BottleGAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FedHarmony: Unlearning Scanner Bias with Distributed Data | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 911703da2be0f49b [] "[""https://github.com/nkdinsdale/FedHarmony""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 de99196c15101fec [] "[""https://github.com/john-x-jiang/epnn""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 958331a746c34fcb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4d674bae2e089bc2 [] "[""https://github.com/soleilssss/FFCNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fine-grained Correlation Loss for Regression | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 9a8f95127a0fe424 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Flat-aware Cross-stage Distilled Framework for Imbalanced Medical Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a5ac9c48a8e1ec5b [] "[""www.kaggle.com/c/diabetic-retinopathy-detection""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Flexible Sampling for Long-tailed Skin Lesion Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e4c16e1fd14cfa35 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4ceddb8ff8e83bff [] "[""https://github.com/MICCAI22/fmri_nf""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 15221ddfbecdf049 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b4a146d7d5df8bfc [] "[""https://github.com/KevynUtopia/Frequency-Aware-Inverse-Consistent-OCTA-Super-Resolution""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 adf3b1adb44e788d [] "[""https://github.com/jadie1/VIB-DeepSSM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FSE Compensated Motion Correction for MRI Using Data Driven Methods | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e47875a23333beb8 [] "[""https://github.com/utcsilab/GAN_motion_correction""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c74e412aeeb2ec1f [] "[""https://tbportals.niaid.nih.gov""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FUSSNet: Fusing Two Sources of Uncertainty for Semi-Supervised Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 640ba58989d2da27 [] "[""https://github.com/grant-jpg/FUSSNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 655dcc0109d90729 [] "[""https://github.com/markendo/GaitForeMer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GazeRadar: A Gaze and Radiomics-guided Disease Localization Framework | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 cd43dcb0f331b8b3 [] "[""https://github.com/bmi-imaginelab/gazeradar""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 2dc9a27c886baed3 [] "[""https://github.com/MoriLabNU/GCDepthL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gigapixel Whole-Slide Images Classification using Locally Supervised Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 dbcf3bd4e3dc6fdd [] "[""https://github.com/cvlab-stonybrook/local_learning_wsi""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Global Multi-modal 2D/3D Registration via Local Descriptors Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 876cf05a7bad1caf [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GradMix for nuclei segmentation and classification in imbalanced pathology image datasets | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 9cd6abb5db1bc927 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Graph convolutional network with probabilistic spatial regression: application to craniofacial landmark detection from 3D photogrammetry | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5b4ac9e5a5fa710d [] "[""https://github.com/cuMIP/3dphoto""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Graph Emotion Decoding from Visually Evoked Neural Responses | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 56348d2e1266282f [] "[""https://github.com/zhongyu1998/GED""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Graph-based Compression of Incomplete 3D Photoacoustic Data | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c3a3051617ffd480 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 60084fba71402f4e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hand Hygiene Quality Assessment using Image-to-Image Translation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 178c78ef9e98b5a0 [] "[""https://github.com/chaofanqw/HandTranslation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3d0f23fe6ec8cb3e [] "[""https://github.com/huangxiao1234/miccai2022-BTSLCK.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 97f66d892732b770 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Histogram-based unsupervised domain adaptation for medical image classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f20ec3b4b68590d7 [] "[""https://github.com/chronicom/histogram-based-gan-for-lung-disease-classification""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +How Much to Aggregate: Learning Adaptive Node-wise Scales on Graphs for Brain Networks | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 809de1988f041f13 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 71d64cd81dc539d7 [] "[""https://db.humanconnectome.org/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 8130f50f2aed04d3 [] "[""https://github.com/kimberly-amador/Spatiotemporal-CNN-Transformer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ideal Midsagittal Plane Detection using Deep Hough Plane Network for Brain Surgical Planning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 41fb656a02ee115d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Identification of vascular cognitive impairment in adult moyamoya disease via integrated graph convolutional network | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 de4e139a91b068c7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-associated Interactions between Tumor-infiltrating Lymphocytes and Tumors | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e09c5e8476fdf6fc [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b39a067e2436a5d9 [] "[""https://github.com/Deep-MI/FastSurfer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e47b2e1662534683 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Implicit Neural Representations for Generative Modeling of Living Cell Shapes | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 64cb47891a955b35 [] "[""https://cbia.fi.muni.cz/research/simulations/implicit_shapes.html""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Implicit Neural Representations for Medical Imaging Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 9a38fbb2f5173d1a [] "[""https://github.com/osamakhaan/iosnet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 403f106df2a2060b [] "[""https://tupac.grand-challenge.org/Dataset/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 0b63a99a7590c80e [] "[""https://github.com/clu5/lumbar-conformal""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f87ccf67a5992c5e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 715bbad7e0525fa4 [] "[""https://github.com/lindehesse/INSightR-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 2a7d661d84b28557 [] "[""https://github.com/hust-linyi/insmix""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Instrument-tissue Interaction Quintuple Detection in Surgery Videos | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a486977edb8b7579 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5bd8cfac275bf831 [] "[""https://github.com/mklz-sjy/IOFD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable differential diagnosis for Alzheimerâ_x0080__x0099_s disease and Frontotemporal dementia | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 94add6b1aaeb261f [] "[""https://ida.loni.usc.edu/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 52e78507a9501998 [] "[""https://github.com/HennyJie/IBGNN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 54dd85b671c6e8d9 [] "[""https://github.com/miccai2022IMRE/miccai_2022_IMRE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable signature of consciousness in resting-state functional network brain activity | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 0bbecd92f917965d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Intervention & Interaction Federated Abnormality Detection with Noisy Clients | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f619f28802ff0925 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ce82a17a0526233c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Invertible Sharpening Network for MRI Reconstruction Enhancement | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 77e6a313f2fca087 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Is a PET all you need? A multi-modal study for Alzheimerâ_x0080__x0099_s disease using 3D CNNs | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 cb16bf4d1305eb8f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 6b1ae915a49e0203 [] "[""https://github.com/uncbiag/iSegFormer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 552540ea42872bdc [] "[""https://github.com/CityU-AIM-Group/JCAS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 8ccba0b6e9d0a1a3 [] "[""https://github.com/YuetingLi666/brain_gcn.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 03f0f0a328e01b1a [] "[""https://zmiclab.github.io/projects.html""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c266cb22ecff0c4f [] "[""https://github.com/IsDling/predictTCL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Region-Attention and Multi-Scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 16f0a80e2e1bf4eb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a3a376555656bf26 [] "[""https://github.com/zhengyushan/kat""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 2f999640c02a3eea [] "[""https://github.com/NeuronXJTU/KFGNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Knowledge Distillation to Ensemble Global and Interpretable Prototype-based Mammogram Classification Models | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 51a714033d370fa8 [] "[""https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=70230508""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Landmark-free Statistical Shape Modeling via Neural Flow Deformations | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 eb54c64aa9b9db4e [] "[""https://github.com/davecasp/flowssm""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a6e8c4e4389e3087 [] "[""https://github.com/pianoza/LayerEnsembles""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5c529c12d75e5624 [] "[""https://gitlab.com/cian.unibas.ch/L2I""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Incrementally to Segment Multiple Organs in a CT Image | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f7935bf69a06fa5e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning iterative optimisation for deformable image registration of lung CT with recurrent convolutional networks | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 989430d3380f147e [] "[""https://github.com/multimodallearning/Learn2Optimise/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 24f43c6c9864ba2c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning self-calibrated optic disc and cup segmentation from multi-rater annotations | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5dac647727805039 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 54cd69734b3d27e8 [] "[""https://github.com/rebeca-vetil/HealthyShapeVAE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 60d1b7c1bcfdf007 [] "[""https://github.com/jingyzhang/SMG-Learning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Tumor-Induced Deformations to Improve Tumor-Bearing Brain MR Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 687074a99be191e7 [] "[""https://github.com/jiameng1010/Brain_MRI_Tumor""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 02b257ed4f6b775e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 7cbe32cd8352dfda [] "[""https://github.com/cuMIP/ctImage""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f6e87c8bbdf45774 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning-based US-MR Liver Image Registration with Spatial Priors | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 94f8789b301be9cc [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lesion Guided Explainable Few Weak-shot Medical Report Generation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 bc00a281035c17de [] "[""https://github.com/jinghanSunn/Few-weak-shot-RG""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 57d9fd6cf569101d [] "[""https://github.com/junl21/lacl""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lesion-aware Dynamic Kernel for Polyp Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d28541a29fb942c6 [] "[""https://github.com/ReaFly/LDNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 7b8c97e13b7dfd26 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f399a08228f10dd5 [] "[""https://github.com/adigasu/Labeling_Representations""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3d93d2662656589c [] "[""https://github.com/MHW-NKU/LIDP-model-evaluation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LifeLonger: A Benchmark for Continual Disease Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4fccc99ab64856fe [] "[""https://github.com/mmderakhshani/LifeLonger""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LiftReg: Limited Angle 2D/3D Deformable Registration | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c699c5e948176b37 [] "[""https://github.com/uncbiag/LiftReg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e68e2f7276694a7c [] "[""https://github.com/guybenyosef/EchoGraphs""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 26c6953a6def747f [] "[""https://github.com/agentdr1/LA_MIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Local Graph Fusion of Multi-View MR Images for Knee Osteoarthritis Diagnosis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4d6464c93ef436c9 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 2b60d4356cac80ba [] "[""https://github.com/wulalago/RLNLocalization""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 7185cacf00bb75ea [] "[""https://drive.grand-challenge.org/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 47e5ec113f1b698e [] "[""https://github.com/Shawey94/Longitudinal-Infant-Functional-Connectivity-Prediction-via-Conditional-Intensive-Triplet-Network""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Long-tailed Multi-label Retinal Diseases Recognition via Relational Learning and Knowledge Distillation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 0a9cf6bda5be344a [] "[""https://github.com/liyiersan/RLKD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 82655610b925bafe [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Low-Resource Adversarial Domain Adaptation for Cross-Modality Nucleus Detection | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 91c59e3011050c9e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c2f926e9f6137a5e [] "[""https://github.com/Ruixxxx/LSSANet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 61f8c63d91275bf6 [] "[""https://github.com/research-med/MAL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 8bf79f8dee5f8d14 [] "[""https://github.com/YashSharma/MaNi""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 cedf19f74d3c1651 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ce17e5fc20957ede [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ddcdadd1aafbddad [] "[""https://github.com/cherise215/MaxStyle""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 67040a6e7ceb9f4f [] "[""https://github.com/gxq1998/MCP-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 329eb702b1ab132a [] "[""https://github.com/Theodore-PKU/MC-DDPM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 caee06f6a25f76e5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 eda52fe72846e005 [] "[""https://github.com/jacobzhaoziyuan/Meta-Hallucinator""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f015d43be6b854de [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 2f9da4cb9cb41c66 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ff14051cf8e26e48 [] "[""https://github.com/YaoZhang93/mmFormer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modality-adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 230edfef17b1a26b [] "[""https://github.com/zzc1909/UNET-MFI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 fdbcfe4b1ad5caa1 [] "[""https://github.com/han-liu/ModDropPlusPlus""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modelling Cycles in Brain Networks with the Hodge Laplacian | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c5169c8471401a37 [] "[""https://github.com/laplcebeltrami/hodge""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 2244f3e0c2026c84 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Morphology-Aware Interactive Keypoint Estimation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 89f0b8c7ebd2b960 [] "[""https://github.com/seharanul17/interactive_keypoint_estimation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 83c5d9092deff569 [] "[""https://github.com/JoohyungLee0106/rectal_MR_volume_classification""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 43c7da9e2ee2bdb1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +mulEEG: A Multi-View Representation Learning on EEG Signals | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 39a2672952f6a3a8 [] "[""https://github.com/likith012/mulEEG""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task. | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b05ddea7ace7397f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-head Attention-based Masked Sequence Model for Mapping Functional Brain Networks | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 8fdb38a87aff3c85 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 26732b18eea3546b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 0cfed53fd408c282 [] "[""https://github.com/hbliu98/CLFC-Brain-Tumor-Segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1530fe7dcc345834 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 09b1e781ecffe34b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 344c7504260b788e [] "[""https://github.com/zhjohnchan/M3AE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 938eae6f3ba38358 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Modal Unsupervised Pre-Training for Surgical Operating Room Workflow Analysis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c840ffc781736bdf [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e567ed339c8e617b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multiple Instance Learning with Mixed Supervision in Gleason Grading | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ca7320fce58e0ae0 [] "[""https://github.com/bianhao123/mixed_supervision""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e9438bedf78e7296 [] "[""https://github.com/dsy199610/Multiscale-SR-MRSI-adjustable-sharpness""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f1f6d31614ab5212 [] "[""https://github.com/mangoyuan/MUIS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 093f5d17cc63b6d9 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Task Lung Nodule Detection in Chest Radiographs with a Dual Head Network | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ddf4a49ed07e5f2f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-task video enhancement for dental interventions | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e7d01e5253f8c1af [] "[""https://doi.org/10.34808/1jby-ay90""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-TransSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 85c350debd538948 [] "[""https://github.com/gluglurice/Multi-TransSP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 55bdb2942eca754c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d7159ec6019cb99b [] "[""https://nihcc.app.box.com/v/ChestXray-NIHCC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a5d004d6f4f0c49c [] "[""https://github.com/Ruyi-Zha/naf_cbct""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 7de679b0f542ee60 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 7bf70d62b17185ab [] "[""https://github.com/920232796/NestedFormer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 0711a186a6a16933 [] "[""https://github.com/M3DV/NeAR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3d6bd106b82a7e39 [] "[""https://github.com/med-air/EndoNeRF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 0f9fbc8a8f26bb06 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Noise transfer for unsupervised domain adaptation of retinal OCT images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 83c97467d53922e0 [] "[""https://github.com/ValentinKoch/SVDNA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 29e44ae0f28e605f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 7b6911f88cbdbd24 [] "[""https://github.com/MungoMeng/Registration-NICE-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Nonlinear Conditional Time-varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 379547415c9e74ae [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-based Deep Negative Correlation Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 75f1c24d2307a03b [] "[""https://github.com/jywu511/BD-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 bc9822d3af8bb87c [] "[""https://github.com/FBLADL/NVUM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1127326cc718c59e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +On the Dataset Quality Control for Image Registration Evaluation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b5a04380c0eb09c7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +On the Uncertain Single-View Depths in Colonoscopies | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4f01cf8312291534 [] "[""http://cmic.cs.ucl.ac.uk/ColonoscopyDepth/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 2b9dd9ce50ad4823 [] "[""https://github.com/liuwan0208/One-Shot-Extensive-Data-Augmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3ced4ffc41c9376e [] "[""https://github.com/xmed-lab/OEEM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Online Reflective Learning for Robust Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4c42bb34d77bde74 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +OnlyCaps-Net a capsule only based neural network for 2D and 3D semantic segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1f037b3b707208cf [] "[""https://github.com/savinienb/OnlyCaps-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Only-Train-Once MR Fingerprinting for Magnetization Transfer Contrast Quantification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f2261e860587e54c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Opinions Vary? Diagnosis First! | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f3fa12eb171be022 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1a6c6b0f9faca6bb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optimal MRI Undersampling Patterns for Pathology Localization | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 db4cbaa911d2b553 [] "[""https://github.com/cviaai/IGS/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optimal Transport based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a50338c2209f8b0d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e298420ccf3af3ad [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Orientation-guided Graph Convolutional Network for Bone Surface Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ad85f5d1ffc6db0d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Orientation-Shared Convolution Representation for CT Metal Artifact Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 2fee894a92a51388 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d955f7dbe49f075b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Overlooked Trustworthiness of Saliency Maps | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 fe594aef4ec6ae4a [] "[""https://github.com/DIAL-RPI/Trustworthiness-of-Medical-XAI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Parameter-free latent space transformer for zero-shot bidirectional cross-modality liver segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d40f3fcbdd8c06b4 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5523b46ecd616e66 [] "[""https://github.com/YanglanOu/patcher.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 67b53b141d555e69 [] "[""https://github.com/jcy132/DML_CT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c6d934b78e72a5fa [] "[""https://github.com/TechnionComputationalMRILab/PD-DWI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3addaf975528b3f2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Personalized dMRI Harmonization on Cortical Surface | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1ebc82b128a22834 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PET denoising and uncertainty estimation based on NVAE model using quantile regression loss | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 133946dd70bd104f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 386c4d2f7ae9eb57 [] "[""https://github.com/lseventeen/PHTrans""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e7449c2dcdedfca3 [] "[""https://users.encs.concordia.ca/~impact/2022/06/10/demo-code-and-networks-weights-for-physically-inspired-constraint-for-unsupervised-regularized-ultrasound-elastography/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Physiological Model based Deep Learning Framework for Cardiac TMP Recovery | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 9900b223b0a8296f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 830f136b4838b2d5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 31299dc4493d17c3 [] "[""https://github.com/HaozheLiu-ST/Point-Beyond-Class""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Poisson2Sparse: Self-Supervised Poisson Denoising From a Single Image | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 40ed07d9d619b512 [] "[""https://github.com/tacalvin/Poisson2Sparse""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pose-based Tremor Classification for Parkinsonâ_x0080__x0099_s Disease Diagnosis from Video | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 444a60b9d1b693c9 [] "[""https://github.com/mattz10966/SPAPNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ca921ee0c8c919f5 [] "[""https://github.com/LeongDong/PCAMNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting molecular traits from tissue morphology through self-interactive multi-instance learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 db217abcea46fdc2 [] "[""https://github.com/superhy/LCSB-MIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Spatio-Temporal Human Brain Response Using fMRI | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 8860bc52bd80e516 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Privacy Preserving Image Registration | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 fc50fe6b360676f8 [] "[""https://github.com/rtaiello/pp_image_registration""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ffe7eb4182e1e80d [] "[""https://github.com/skyz215/ProCo""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 31bdf17dad9c0381 [] "[""https://github.com/anzhao920/PrognosticBiomarkerDiscovery""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Progression models for imaging data with Longitudinal Variational Auto Encoders | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 873c6038046c2e35 [] "[""https://github.com/bsauty/longitudinal-VAEs""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 7047c1f78999d9c9 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Progressive Subsampling for Oversampled Data - Application to Quantitative MRI | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 52817a1621630f90 [] "[""https://github.com/sbb-gh/PROSUB""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1146dda54593a0d3 [] "[""https://github.com/NVlabs/stylegan2""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d9768a408ccfb086 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c8c72ccc71dd09fc [] "[""https://github.com/ku-milab/PL-FC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3a614f8533610455 [] "[""https://github.com/LLYXC/PBBL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Radiological Reports Improve Pre-Training for Localized Imaging Tasks on Chest X-Rays | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 18949b824b71ba4e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 94713cfcde01beec [] "[""https://github.com/yiqings/RandStainNA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 6509d4a20243d2d2 [] "[""https://github.com/Henningson/Vocal3D""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 fcfa1f0f588803f2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 9071ca210b794a77 [] "[""https://github.com/MASILab/C-SliceGen""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a2a72529e6391a4a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3a54ab449ff1dac6 [] "[""https://github.com/qzhangli/RPR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Region-guided CycleGANs for Stain Transfer in Whole Slide Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d1b04abbafca7f6e [] "[""https://github.com/jcboyd/miccai2022-roigan""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Regression Metric Loss: Learning a Semantic Representation Space for Medical Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4ded98d2b0b83ab1 [] "[""https://github.com/DIAL-RPI/Regression-Metric-Loss""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 faee508dc8b05763 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reinforcement learning for active modality selection during diagnosis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a871438730b263be [] "[""https://github.com/creatis-myriad/featureSelectionRL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 6ab4a5ef4ad4afff [] "[""https://github.com/bellarude/MRSdeeplearning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reliability-aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 086945dc14aee64c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 7605e4882065ba5b [] "[""https://github.com/TencentAILabHealthcare/ReMix""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 01a958c1e0950710 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Removal of Confounders via Invariant Risk Minimization for Medical Diagnosis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 047b7244c9c2cdc8 [] "[""https://github.com/samzare/ConfounderRemoval""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RepsNet: Combining Vision with Language for Automated Medical Reports | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 66b88ff9c38e2141 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e6d3839dd0599161 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 db95e7e27315267d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 7fa9c1e7eb2577d5 [] "[""https://github.com/XuMengyaAmy/SwinMLP_TranCAP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4274145b247a0286 [] "[""https://github.com/lofrienger/Single_SurgicalScene_For_Segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Retrieval of surgical phase transitions using reinforcement learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 95ff6ca991e9e71a [] "[""https://github.com/yitongzh/TRN_code""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 546fab08b203e16f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rib Suppression in Digital Chest Tomosynthesis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ba893cca9201eb8c [] "[""https://github.com/sunyh1/Rib-Suppression-in-Digital-Chest-Tomosynthesis""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 73575affbf66607c [] "[""https://github.com/BBillot/SynthSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 856f3fa244f2cdbe [] "[""https://github.com/smilenaxx/RPLHR-CT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 55cb7bf87976df07 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4928b3b26e30a78c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 455d79da39741f1d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +S5CL: Unifying Fully-Supervised Self-Supervised and Semi-Supervised Learning Through Hierarchical Contrastive Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 9853e5d349d09c21 [] "[""https://github.com/manuel-tran/s5cl""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sample hardness based gradient loss for long-tailed cervical cell detection | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 78e2cb56ad175913 [] "[""https://github.com/M-LLiu/Grad-Libra""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-Sequence MRI Diagnosis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 07061577d219f8d0 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SATr: Slice Attention with Transformer for Universal Lesion Detection | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3efee8a5e3f17564 [] "[""https://github.com/MIRACLE-Center/A3D_SATr""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 554f53fa2f753ec8 [] "[""https://github.com/ad12/meddlr""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 830e1cac17e800e7 [] "[""https://ieee-dataport.org/open-access/octa-500""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 730338a739d75352 [] "[""https://github.com/Qybc/Scribble2D5""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 35d56539da17686f [] "[""https://github.com/HiLab-git/WSL4MIS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 90663848f1457223 [] "[""https://github.com/ABotond/SD-LayerNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f8a4a3851d55f959 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmentation of Whole-brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 af521deadceaf2ac [] "[""https://github.com/NeuroImageComputingLab/3D_Curve_CNN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 589d8787fa2b5491 [] "[""https://github.com/faresmalik/SEViT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 9a80462d8a789cbb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 0644097bca11ca1b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 892955528c5668d5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT) | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e35abfba61e5af24 [] "[""https://github.com/harveerar/SMIT.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b3e029a8b4098a66 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 51a9985434d10f37 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Learning of Morphological Representation for 3D EM Segments with Cluster-Instance Correlations | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4db1832a9574e8c5 [] "[""https://github.com/zhangchih/MorphConNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Pre-Training for Nuclei Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 fa1a7fa42c74d613 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised histological image segmentation via hierarchical consistency enforcement | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d443f6c245886624 [] "[""https://github.com/qgking/HCE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 44b77e51040066d1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised learning with data harmonisation for biomarker discovery from resting state fMRI | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ad64efe46e95a280 [] "[""https://github.com/SCSE-Biomedical-Computing-Group/SHRED""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Supervised Medical Image Classification with Temporal Knowledge-Aware Regularization | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f32ef27f4ee90434 [] "[""https://github.com/CityU-AIM-Group/TEAR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context Constraints | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4b3f64ea9da96c14 [] "[""https://github.com/igip-liu/SLC-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Supervised PR Virtual Staining for Breast Histopathological Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a2592f5c06569030 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Supervised Spatial Temporal Attention Network for Video Polyp Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 fdcbb5e3cd476d08 [] "[""https://github.com/ShinkaiZ/SSTAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 fe53b57d78cf9d74 [] "[""https://github.com/joseph9337/DSG-net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SETMIL: Spatial Encoding Transformer-based Multiple Instance Learning for Pathological Image Analysis | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 59e95566e7f1f946 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SGT: Scene Graph-Guided Transformer for Surgical Report Generation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a782e969c4e7b3ba [] "[""https://github.com/ccccchenllll/SGT_master""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b1bab4a1e0bc8dcb [] "[""https://github.com/smallmax00/Shape_aware_Weakly-Semi_ODOC_seg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Shape-based features of white matter fiber-tracts associated with outcome in Major Depression Disorder | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e716f42946a12c40 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 762292fa7931512e [] "[""https://github.com/BWGZK/ShapePU""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Show Attend and Detect: Towards Fine-grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f0ac33cdfee6a8cb [] "[""https://github.com/NaehaSharif/Show-Attend-and-Detect""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ba7efb930dbdff80 [] "[""https://github.com/liaw05/STMixer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 fe00714208470fb7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3c5000d8b22facc7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e5a45d9d6eb1ce54 [] "[""https://github.com/zsustc/Calibration""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SMESwin Unet: Merging CNN and Transformer for Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e6daea6a70d77b1a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sparse Interpretation of Graph Convolutional Networks for Multi-Modal Diagnosis of Alzheimerâ_x0080__x0099_s Disease | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 078deea8a213e204 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatial-hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c3c0f79152b2b393 [] "[""https://github.com/HeLongHuang/SHGNN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma based on Longitudinal Ultrasound Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c4e437085049ece9 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 17f3ebc7b482e06a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stabilize Decompose and Denoise: Self-Supervised Fluoroscopy Denoising | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 83d50060c2a0e5cb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stay focused - Enhancing model interpretability through guided feature training | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 905e6883d73d58b5 [] "[""https://gitlab.com/nct_tso_public/gft""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stepwise Feature Fusion: Local Guides Global | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 8d13b4e27551c4fb [] "[""https://github.com/Qiming-Huang/ssformer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stereo Depth Estimation via Self-Supervised Contrastive Representation Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a1cead467f1fd890 [] "[""https://github.com/CVRS-Hamlyn/Stereo-Depth-Estimation-via-Self-Supervised-Contrastive-Representation-Learning/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stroke lesion segmentation from low-quality and few-shot MRIs via similarity-weighted self-ensembling framework | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 2a8786500efd1f93 [] "[""https://github.com/MINDLAB1/SIGN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Structure-consistent Restoration Network for Cataract Fundus Image Enhancement | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4df340d50607daca [] "[""https://github.com/liamheng/ArcNet-Medical-Image-Enhancement""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Super-Focus: Domain Adaptation for Embryo Imaging via Self-Supervised Focal Plane Regression | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 feb6ac99a7d060e0 [] "[""https://github.com/chlohe/Super-Focus""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 9917188dc7215d57 [] "[""https://github.com/TechnionComputationalMRILab/SUPER-IVIM-DC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 51f7bef9e8e1d9fd [] "[""https://github.com/dawnofthedebayan/SupConCE_MICCAI_22""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Supervised Deep Learning for Head Motion Correction in PET | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 de8abd384881877b [] "[""https://github.com/OnofreyLab/dl-hmc_miccai2022""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Suppressing Poisoning Attacks on Federated Learning for Medical Imaging | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 eda5c07cf321ab29 [] "[""https://github.com/Naiftt/SPAFD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d560c374419e0b58 [] "[""https://sisvse.github.io/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Surgical Skill Assessment via Video Semantic Aggregation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 dd9f71a2ec97f364 [] "[""bit.ly/MICCAI2022ViSA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 9922521b33d2699f [] "[""https://github.com/lalithjets/Surgical_VQA.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Survival Prediction of Brain Cancer with Incomplete Radiology Pathology Genomic and Demographic Data | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 6a87124b627a90a4 [] "[""https://github.com/cuicathy/MMD_SurvivalPrediction.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 45ed1f7c36f6d18a [] "[""https://github.com/daviddmc/SVoRT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1f511eac98df0b06 [] "[""https://github.com/ayanglab/SDAUT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Swin-VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d4582dd62bda8ea3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ca88260dffc0cb4d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 55e580627e6af112 [] "[""https://github.com/ironing/EEG-AD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Task-relevant Feature Replenishment for Cross-centre Polyp Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 3122c21aee904e08 [] "[""https://github.com/CathyS1996/TRFRNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TBraTS: Trusted Brain Tumor Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 68ced65d68e3204c [] "[""https://github.com/Cocofeat/TBraTS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Test Time Transform Prediction for Open Set Histopathological Image Recognition | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d1634edfad74410f [] "[""https://github.com/agaldran/t3po.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 470a5a4ff8fb48ef [] "[""https://github.com/med-air/TTADC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Test-Time Adaptation with Shape Moments for Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f4492d698265ad0b [] "[""https://github.com/mathilde-b/TTA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 573abd33186d7ce4 [] "[""https://gitlab.com/vitadx/articles/test-time-i2i-translation-ensembling""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TGANet: Text-guided attention for improved polyp segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 81a3de84f86a1e74 [] "[""https://github.com/nikhilroxtomar/TGANet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The (de)biasing effect of GAN-based augmentation methods on skin lesion images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b5c252e63481211b [] "[""https://github.com/AgaMiko/debiasing-effect-of-gans""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Dice loss in the context of missing or empty labels: introducing Φ and ϵ | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4ebbb2d8525a123a [] "[""https://github.com/JeroenBertels/dicegrad""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 7d3adbe391d0c590 [] "[""https://github.com/mazurowski-lab/radiologyintrinsicmanifolds/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Semi-constrained Network-Based Statistic (scNBS): integrating local and global information for brain network inference | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 99958b4ca5de366e [] "[""https://github.com/daiw3/scNBS.git.""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Thoracic Lymph Node Segmentation in CT imaging via Lymph Node Station Stratification and Size Encoding | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 16ff9aaba0a1209b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 38260748643a576e [] "[""https://github.com/EmreTaha/TINC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b6f75631630915d8 [] "[""https://github.com/ikboljon/tmss_miccai""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a26e95dfe74fa9ab [] "[""https://github.com/WeijieMax/CPC-Trans""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a6e3da002cdddb27 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Holistic Surgical Scene Understanding | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4956b5b722699dcd [] "[""https://github.com/BCV-Uniandes/TAPIR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards performant and reliable undersampled MR reconstruction via diffusion model sampling | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4e39e85004950dd1 [] "[""www.github.com/cpeng93/DiffuseRecon""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-Modality Data | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b2a051013f9b9f8d [] "[""https://github.com/IBMEOX/UltrasoundVQA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 25d8c3e14b4be3e9 [] "[""https://github.com/funkelab/linajea""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 627f1ac9dce013e3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TransEM: Residual Swin-Transformer based regularized PET image reconstruction | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 669050e134f90883 [] "[""https://github.com/RickHH/TransEM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transformer based feature fusion for left ventricle segmentation in 4D flow MRI | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a82f7171b49bc3b1 [] "[""https://github.com/xsunn/4DFlowLVSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transformer based multiple instance learning for weakly supervised histopathology image segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 1df4b175aee01952 [] "[""https://github.com/Nexuslkl/Swin_MIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ac1759e03cc1a5fe [] "[""https://github.com/Ksuriuri/TRMT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transformer Based Multi-View Network for Mammographic Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 fbd58de43de49181 [] "[""http://www.eng.usf.edu/cvprg/Mammography/Database.html""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transformer Lesion Tracker | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 896013899c0f155a [] "[""https://github.com/TangWen920812/TLT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transforming the Interactive Segmentation for Medical Imaging | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 29422c2548a30ebc [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 fb2a795f93fcd0e8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TranSQ: Transformer-based Semantic Query for Medical Report Generation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 643371838a4d1437 [] "[""https://github.com/zjukongming/TranSQ""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Trichomonas Vaginalis Segmentation in Microscope Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 75958028ff16674d [] "[""https://github.com/CellRecog/cellRecog""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UASSR:Unsupervised Arbitrary Scale Super-resolution Reconstruction of Single Anisotropic 3D images via Disentangled Representation Learning? | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 6b2bee7b1877a113 [] "[""https://github.com/jialewang1/UASSR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 9f4838ad3b3bbeeb [] "[""https://github.com/PerceptionComputingLab/ULTRA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty Aware Sampling Framework of Weak-Label Learning for Histology Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 39e3a52a725bd3ca [] "[""https://github.com/machiraju-lab/UA-CNN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 4d27858e10ac46ee [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5964b02a6ac3c3a1 [] "[""https://github.com/yanghan-yh/UGS-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Undersampled MRI Reconstruction with Side Information-Guided Normalisation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5b104d578a0b6da8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UNeXt: MLP-based Rapid Medical Image Segmentation Network | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c6493db0ed1d8419 [] "[""https://github.com/jeya-maria-jose/UNeXt-pytorch""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d8eaa31d02107a81 [] "[""https://github.com/Davidczy/Uni4Eye""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a5125ac8a98f6269 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5a8f4f9011e308de [] "[""https://gbc-iitd.github.io/usucl""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Cross-Disease Domain Adaptation by Lesion Scale Matching | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5a49bb31af18fd22 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 769ca06ee0d3523d [] "[""https://github.com/marrlab/AE-CFE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Deep Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 6ca9f42e257b6219 [] "[""https://github.com/asanomitakanori/Unsupervised-Deep-Non-Rigid-Alignment-by-Low-Rank-Loss-and-Multi-Input-Attention""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-Recurrence Brain Tumor MRI Scans | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 61dc30062653acc6 [] "[""https://github.com/cwmok/DIRAC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f1e9540d0fe49916 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 2dc4aab20c8288c1 [] "[""https://refuge.grand-challenge.org/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 9104a6be721fc1fb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Nuclei Segmentation using Spatial Organization Priors | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e73cc83c2a80f4eb [] "[""https://github.com/loic-lb/Unsupervised-Nuclei-Segmentation-using-Spatial-Organization-Priors""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Representation Learning of Cingulate Cortical Folding Patterns | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d6ba897c0a0ad464 [] "[""https://github.com/neurospin-projects/2021_jchavas_lguillon_deepcingulate""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 0a0def595bcf8502 [] "[""https://github.com/yizhezhang2000/ure""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 50ad61d5f0ffe041 [] "[""https://github.com/kyungsu-lee-ksl/USG-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using Guided Self-Attention with Local Information for Polyp Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 edde670f067e3126 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation during Fine-Adjustment Standard Fetal Plane Finding | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 66466506e8b875d2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vector Quantisation for Robust Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d7c1fcba217f8f9b [] "[""https://github.com/AinkaranSanthi/Vector-Quantisation-for-Robust-Segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Video-based Surgical Skills Assessment using Long term Tool Tracking | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 690a4e3a9d80c58e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ded3c3d45f09102b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimerâ_x0080__x0099_s Disease using weakly annotated whole slide histopathological images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 832794f6d681b38d [] "[""https://github.com/aramis-lab/miccai2022-stratifiad.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Visual explanations for the detection of diabetic retinopathy from retinal fundus images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 01febab7ab8affde [] "[""https://github.com/valentyn1boreiko/Fundus_VCEs""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +vMFNet: Compositionality Meets Domain-generalised Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 7af7cd6ff6706cce [] "[""https://github.com/vios-s/vMFNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vol2Flow: Segment 3D Volumes using a Sequence of Registration Flows | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b16e5bd0dcb1970f [] "[""https://github.com/AdelehBitarafan/Vol2Flow""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 514f196eb3f896e4 [] "[""http://medicaldecathlon.com/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-Contrast MRI Super-resolution | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 d76c160d4d3c491a [] "[""https://github.com/XAIMI-Lab/WavTrans""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 df40006880f90cc1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Online Action Detection for Infant General Movements | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a1200a8eface1ee2 [] "[""https://github.com/scofiedluo/WO-GMA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 a7e496f0d7f97532 [] "[""https://github.com/zqh369/WSNTG""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Volumetric Image Segmentation with Deformed Templates | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 e095208ba6f2c80f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ec0f12acd32d679d [] "[""https://github.com/BailiangJ/spine-ct-mr-registration""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 5fc1e5c74f715fb6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 ce6bd334a8b5c974 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +What can we learn about a generated image corrupting its latent representation? | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 f7e76a3ff1801a04 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +What Makes for Automatic Reconstruction of Pulmonary Segments | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 48f3121bfbb55131 [] "[""https://github.com/M3DV/ImPulSe""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 da82a508a337a41f [] "[""http://www.humanconnectomeproject.org/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b088f23b4e44f261 [] "[""https://github.com/ZhangXin1997/MICCAI-2022""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Why patient data cannot be easily forgotten? | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 c562582280ae8f5a [] "[""https://www.cs.toronto.edu/~kriz/cifar.html""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 b7816f53d86d63b8 [] "[""https://github.com/Solemoon/XMorpher""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation | MICCAI 2022 - Accepted Papers and Reviews MICCAI 2022 0ef1bbcf844bd597 [] "[""https://github.com/azadef/ynet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8ebacfe7c7187968 [] "[""https://github.com/alinafdima/3Dseg-mip-depth""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D Dental Mesh Segmentation Using Semantics-Based Feature Learning with Graph-Transformer | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 069c89e1dcfd82b5 [] "[""https://github.com/df-boy/SGTNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2d5ac09816a057b1 [] "[""https://github.com/HengCai-NJU/3D2DCT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2200cce973a374dd [] "[""https://github.com/OmkarThawakar/STT-UNET""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D Teeth Reconstruction from Panoramic Radiographs using Neural Implicit Functions | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 44534e7a1b66a016 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Closed-form Solution to Electromagnetic Sensor Based Intraoperative Limb Length Measurement in Total Hip Arthroplasty | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f3d2fd66c6d8dd4b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 755256571b7d4329 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A coupled-mechanisms modelling framework for neurodegeneration | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b3f3dfdcd49472bc [] "[""https://adni.loni.usc.edu/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A denoised Mean Teacher for domain adaptive point cloud registration | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d0e12135ddb18182 [] "[""https://github.com/multimodallearning/denoised_mt_pcd_reg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A flexible framework for simulating and evaluating biases in deep learning-based medical image analysis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c2380f6f70f0457c [] "[""https://github.com/estanley16/SimBA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 decdf5fb23da6703 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Model-Agnostic Framework for Universal Anomaly Detection of Multi-Organ and Multi-Modal Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a443b14c0532b546 [] "[""https://github.com/lianjizhe/MADDR_code""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Modulatory Elongated Model for Delineating Retinal Microvasculature in OCTA Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b96652ee0290e65d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Motion Transformer for Single Particle Tracking in Fluorescence Microscopy Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c54ffcb19a66763f [] "[""https://github.com/imzhangyd/MoTT.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multimodal Disease Progression Model for Genetic Associations with Disease Dynamics | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9247b37dcf3ef5ea [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multi-Task Method for Immunofixation Electrophoresis Image Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5271b78986cf5190 [] "[""https://github.com/shiy19/IFE-classification""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multi-Task Network for Anatomy Identification in Endoscopic Pituitary Surgery | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 bf3232bc6b039c12 [] "[""https://github.com/dreets/pitnet-anat-public""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a76b93c171d30468 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Video-CTU Registration Method with Structural Point Similarity for FURS Navigation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 cfdb479ee7bdd0ad [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A One-class Variational Autoencoder (OCVAE) cascade for classifying atypical bone marrow cell sub-types | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2898e9f1437fc52c [] "[""https://doi.org/10.7937/TCIA.AXH3-T579""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Patient-Specific Self-supervised Model for Automatic X-ray/CT Registration | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c014a206e5ff1150 [] "[""https://github.com/BaochangZhang/PSSS_registration""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6214a9e4975500b8 [] "[""https://github.com/perceivelab/PLAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c2973c42f4193b06 [] "[""https://github.com/key1589745/Multi-view_liver""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Semantic-guided and Knowledge-based Generative Framework for Orthodontic Visual Outcome Preview | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6239b67009d761bc [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Sheaf Theoretic Perspective for Robust Prostate Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3174eca37d00cbe7 [] "[""https://github.com/AinkaranSanthi/A-Sheaf-Theoretic-Perspective-for-Robust-Segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8f59b3cca68647d3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2e28f277b1119dba [] "[""https://github.com/AlfredQin/STNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ddb5c04be63909a1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Style Transfer-based Augmentation Framework for Improving Segmentation and Classification Performance across Different Sources in Ultrasound Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9be936c1fd0bb3ea [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 bd60e2cbb7e7daea [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Transfer Learning Approach to Localise a Deep Brain Stimulation Target | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9fe5d1b96debc30a [] "[""https://git.fmrib.ox.ac.uk/yqzheng1/hqaugmentation.jl""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Unified Deep-Learning-Based Framework for Cochlear Implant Electrode Array Localization | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b2ba1c7a6df303ce [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9132b8fdfc765253 [] "[""https://github.com/ostadabbas/NNS-Detection-and-Segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A2FSeg: Adaptive Multi-Modal Fusion Network for Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 32a231d9386714d0 [] "[""https://github.com/Zirui0623/A2FSeg.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ACC-UNet: A Completely Convolutional UNet model for the 2020s | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 42e307f6414f0599 [] "[""https://github.com/kiharalab/ACC-UNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accurate and Robust Patient Height and Weight Estimation in Clinical Imaging using a Depth Camera | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a167b8079cec06d5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accurate multi-contrast MRI super-resolution via a dual cross-attention transformer network | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2305390478670067 [] "[""https://github.com/Solor-pikachu/DCAMSR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ea6c6cd42c0f082b [] "[""https://github.com/charlesyou999648/ACTION""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ACT-Net: Anchor-context Action Detection in Surgery Videos | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8c94ce2510c323f3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4b427f8bed349e77 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 db0cc974e8457bcf [] "[""https://github.com/GiantJun/CL_Pytorch""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 da1d36d58fbf19bc [] "[""https://github.com/masadcv/MONet-MONAILabel""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9641f6a72f23fa73 [] "[""https://github.com/DeepMicroscopy/AdaptiveRegionSelection""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c74f734ffcd44b4c [] "[""https://github.com/lifangda01/AdaptiveSupervisedPatchNCE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Additional Positive Enables Better Representation Learning for Medical Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ddcc5d0faa9e3a99 [] "[""https://challenge.isic-archive.com/landing/2019/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 be7fa9c8b205f02d [] "[""https://github.com/maxiao0234/ARTran""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adult-like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 891f6aff68617a18 [] "[""https://github.com/SaberPRC/IsointenseBrainTissueSeg.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ecad438a7fcf0581 [] "[""https://github.com/EndoluminalSurgicalVision-IMR/AirwayFormer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Alias-Free Co-Modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d5cee6f39ed006a4 [] "[""https://github.com/zhiyuns/AFCM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ALL-IN: A Local GLobal Graph-based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 552064bc3761094b [] "[""https://github.com/pazadimo/ALL-IN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6c0538f19844c6ea [] "[""https://www.kaggle.com/c/rsna-pneumonia-detection-challenge""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b224fab4f12fcc42 [] "[""https://github.com/windstormer/AME-CAM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c9f6f4d43b4767fd [] "[""https://github.com/nadeemlab/DeepLIIF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Anti-Biased TBSRTC-Category Aware Nuclei Segmentation Framework with A Multi-Label Thyroid Cytology Benchmark | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0d67536d80105701 [] "[""https://github.com/Junchao-Zhu/TCSegNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space and its Application for Automatically Computing the Conformational Pathway | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 60d37b6f594e40f4 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9ac96fc5ea3b36d6 [] "[""https://github.com/SVRTK/Fetal-T2star-Recon""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 420dcfb920507ad5 [] "[""https://github.com/fiy2W/mri_seq2seq""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 702d09ebbcb3b7e7 [] "[""https://github.com/favour-nerrise/xGW-GAT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7708da552c065482 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Unsupervised Multispectral Image Registration Network for Skin Diseases | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ed5ccbf21495c5ef [] "[""https://github.com/SH-Diao123/MSIR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Analysis of Suture Force Simulations for Optimal Orientation of Rhomboid Skin Flaps | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4917becbcc6bc3cc [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anatomical Landmark Detection Using a Multiresolution Learning Approach with a Hybrid Transformer-CNN Model | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 51ec4fc9c36c6745 [] "[""https://github.com/seriee/Multiresolution-HTC.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anatomical-aware Point-Voxel Network for Couinaud Segmentation in Liver CT | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 474a7826e9562258 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anatomy-Driven Pathology Detection on Chest X-rays | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 797ba9b6dc9f41aa [] "[""https://github.com/philip-mueller/adpd""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0311d8daf6083a06 [] "[""https://github.com/MIC-DKFZ/anatomy_informed_DA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Aneurysm Pose Estimation with Deep Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 56776f963bd5bf1f [] "[""https://gitlab.inria.fr/yassis/DeepAnePose""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 64563026327d11fa [] "[""https://github.com/RuishengSu/AngioMoCo""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1388d472d2e54e7b [] "[""https://github.com/tomeramit/Annotator-Consensus-Prediction""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anti-Adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 cf456b956af3fc50 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AR2T: Advanced Realistic Rendering Technique for Biomedical Volumes | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 61c4d5af2a5b9b5d [] "[""https://www.kaggle.com/datasets/imaginar2t/cbctdata""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ariadneâ_x0080__x0099_s Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3cb46569dea886ff [] "[""https://github.com/Junelin2333/LanGuideMedSeg-MICCAI2023""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 21f366eabf434b76 [] "[""https://github.com/DuYooho/ArSDM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Artifact Restoration in Histology Images with Diffusion Probabilistic Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 13b5e9e1af5eb08a [] "[""https://github.com/zhenqi-he/ArtiFusion""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7d5a193962774f9f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 926950eb0b1a100e [] "[""https://github.com/hao1635/ASCON""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Assignment Theory-Augmented Neural Network for Dental Arch Labeling | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6384fce0afea254d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1548b1160fd93d5a [] "[""https://github.com/ThierryJudge/contouring-uncertainty""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimerâ_x0080__x0099_s Disease using Multimodal Imaging Genetics | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 bdb747fa53e5818c [] "[""https://github.com/rongzhou7/ADCCA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +atTRACTive: Semi-automatic white matter tract segmentation using active learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 cc67ac5fc7221eb4 [] "[""https://github.com/MIC-DKFZ/atTRACTive_simulations""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AUA-dE: An adaptive uncertainty guided attention for diffusion MRI models estimation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 845bdb3ca3f42092 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated CT Lung Cancer Screening Workflow using 3D Camera | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7f670d41274a9f15 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Bleeding Risk Rating System of Gastric Varices | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7acc8b2a7f1c8489 [] "[""https://github.com/LuyueShi/gastric-varices""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Retrieval of Corresponding US Views in Longitudinal Examinations | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8deb0308e4b22407 [] "[""https://github.com/hamidehkerdegari/Muscle-view-retrieval""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Segmentation of Internal Tooth Structure from CBCT Images using Hierarchical Deep Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1be2063f90b4d32a [] "[""https://github.com/Saeeeae/Internal-Tooth-Segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Surgical Reconstruction for Orbital Blow-out Fracture via Symmetric Prior Anatomical Knowledge-Guided Adversarial Generative Network | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d36d8bab3925d7b3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +B-Cos Aligned Transformers Learn Human-Interpretable Features | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 49317b465bdf4981 [] "[""https://zenodo.org/record/1214456""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 af9080921e8b1ffa [] "[""https://github.com/takimailto/BerDiff""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1567d3657e780502 [] "[""https://github.com/ZijianD/Brain-TokenGT.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d662e781664396b4 [] "[""https://github.com/FlynnYe/BMCL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 33967a97cb12f91f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 49158a02a5a31d2f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 721bcc7de81c131f [] "[""https://github.com/PlayerSAL/KGA-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Boundary Difference Over Union Loss For Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9fd36f5ad7e8bbff [] "[""https://github.com/sunfan-bvb/BoundaryDoULoss""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Boundary-weighted logit consistency improves calibration of segmentation networks | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 bcb6b2e973ddd5f3 [] "[""https://github.com/neerakara/BWCR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 63c5d7cac8f9b251 [] "[""https://github.com/goodaycoder/BAR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9fed8368203d412d [] "[""https://github.com/IntelliDAL/Graph/tree/main/BrainUSL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 08636f5ebdce94ac [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bridging ex-vivo training and intra-operative deployment for surgical margin assessment with Evidential Graph Transformer | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 418a38b148b01018 [] "[""https://github.com/med-i-lab/evidential_graph_transformers/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Building A Bridge: Close The Domain Gap in CT Metal Artifact Reduction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ecc6b859305ae6d4 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Can point cloud networks learn statistical shape models of anatomies? | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0ace08fb1350369c [] "[""https://github.com/jadie1/PointCompletionSSM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CARL: Cross-aligned Representation Learning for Multi-view Lung Cancer Histology Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 af0548963291b25c [] "[""https://github.com/candyknife/CARL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cascade Transformer Encoded Boundary-Aware Multibranch Fusion Networks for Real-Time and Accurate Colonoscopic Lesion Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c1b131d945bc04b5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CAS-Net: Cross-view Aligned Segmentation by Graph Representation of Knees | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6eb1701bedf290f7 [] "[""https://github.com/zixuzhuang/OAI_seg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Category-independent Visual Explanation for Medical Deep Network Understanding | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 fbb195e081bc5779 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Category-level Regularized Unlabeled-to-labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 90063903686b4077 [] "[""https://liuquande.github.io/SAML/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CAT-ViL: Co-Attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 47584225914e9b44 [] "[""https://github.com/longbai1006/CAT-ViL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 05b2813877117190 [] "[""https://github.com/ayanglab/CDiffMR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 98b51113d30272c2 [] "[""https://github.com/ZhenrongShen/CellGAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CenterlinePointNet++: A new point cloud based architecture for coronary artery pressure drop and vFFR estimation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e72282daa93e5968 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Centroid-aware feature recalibration for cancer grading in pathology images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ab81e0e478a6f6b0 [] "[""https://github.com/colin19950703/CaFeNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Certification of Deep Learning Models for Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0f0eabd36e81f016 [] "[""https://github.com/othmanela/medical_cert_seg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Chest X-ray Image Classification: A Causal Perspective | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9b83d647fc6c4628 [] "[""https://github.com/zc2024/Causal_CXR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 43f0f03c70fcfb39 [] "[""https://github.com/microsoft/MedImaging-ModelDriftMonitoring""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4f608309e7392bb6 [] "[""https://github.com/zhanghx-iim-ahu/CircleFormer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CL-ADDA: Contrastive Learning with Amplitude-Driven Data Augmentation for fMRI-Based Individualized Predictions | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 febdb283e8c424d6 [] "[""https://github.com/tianbjtu/CL-ADDA.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Class Specific Feature Disentanglement And Text Embeddings For Multi-Label Generalized Zero Shot CXR Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 803101212714abef [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Class-Aware Feature Alignment for Domain Adaptative Mitochondria Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ab4ee741222ab75f [] "[""https://github.com/Danyin813/CAFA.""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 70e844bd252ec28a [] "[""https://github.com/med-air/Client-DP-FL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Clinical Evaluation of AI-assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 81b160868c671dc2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c717f2343bd2987e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b42c02940a580248 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 bf08cb9654c70a66 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6313859e94750a87 [] "[""https://github.com/ycwu1997/CoactSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Co-assistant Networks for Label Correction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 90b2693c6ca9f5b0 [] "[""https://github.com/shannak-chen/CNLC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cochlear Implant Fold Detection in Intra-operative CT using Weakly Supervised Multi-Task Deep Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 76fb31837b97fd32 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 94681ed93fdefc4b [] "[""https://github.com/SeeMeInCrown/CoLa_Diff_MultiModal_MRI_Synthesis""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5215e274bc9d07ac [] "[""https://github.com/brain-intelligence-lab/GIRNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Collaborative modality generation and tissue segmentation for early-developing macaque brain MR images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a44debf51881c0d7 [] "[""https://github.com/XueyangWWW/CSGF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 66169d7f9dd53553 [] "[""https://github.com/han-liu/COLosSAL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4f22248159b5e1d5 [] "[""https://github.com/jhonP-Li/MRC_VFC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 dcc3ccb23f3a91cd [] "[""https://github.com/Binz-Chen/MICCAI2023_SSCL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Community-Aware Transformer for Autism Prediction in fMRI Connectome | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 69b4497f9813cfec [] "[""https://github.com/ubc-tea/Com-BrainTF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computationally Efficient 3D MRI Reconstruction with Adaptive MLP | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 567a893a0a4bb171 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 58fef159e607a354 [] "[""https://github.com/xhu248/cond_ddpm_wsss""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional Physics-Informed Graph Neural Network For Fractional Flow Reserve Assessment | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b3896b19ff4f6b7f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3b7b89218f73f006 [] "[""https://github.com/m-qiang/CoTAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8874042e332e33a7 [] "[""https://github.com/aijinrjinr/MLB-Seg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 306f227f54519337 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 aee30232fa9bda70 [] "[""https://github.com/xmed-lab/CPR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Continual Learning for Abdominal Multi-Organ and Tumor Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ec1c64f68a1ed4af [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ConTrack: Contextual Transformer for Device Tracking in X-ray | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b23c246d6f1c441d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4dd5cad005adb957 [] "[""https://github.com/Show-han/PET-Reconstruction""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrastive Feature Decoupling for Weakly-supervised Disease Detection | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 bee68c2aec4f7524 [] "[""https://github.com/Jhih-Ciang/PANDA-MIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f98ea8bdaddae791 [] "[""https://github.com/cchen-cc/CMITM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6ffc941d88c34700 [] "[""https://github.com/xianlin7/ConvFormer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7dcaaa25c533dc93 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 75b58858b00a2f53 [] "[""https://github.com/MIC-DKFZ/cOOpD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 70d2bbf1e80660dc [] "[""https://github.com/Herschel555/CAML""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 15411088f1bf7111 [] "[""https://github.com/YH-Qiu/CorSegRec""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CortexMorph: fast cortical thickness estimation via diffeomorphic registration using VoxelMorph | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e0d7daf49bf4f469 [] "[""https://github.com/SCAN-NRAD/CortexMorph""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 360033f83a18453e [] "[""https://surfer.nmr.mgh.harvard.edu/fswiki/recon-all-clinical""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Coupling Bracket Segmentation and Tooth Surface Reconstruction on 3D Dental Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0b1a6e21fdde7d0a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3b65c3c575cdc50d [] "[""https://github.com/edurbi/MICCAI2023""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-adversarial local distribution regularization for semi-supervised medical image segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a05c4ec8860c10f7 [] "[""https://github.com/PotatoThanh/Cross-adversarial-local-distribution-regularization""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e0bf0296224c47c5 [] "[""https://github.com/JayParanjape/Barlow-Adaptor""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c572ea60f7d0bf9d [] "[""https://github.com/VIROBO-15/XM-GAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-view Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-ray Pair | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1587514efaba5312 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CT Kernel Conversion Using Multi-Domain Image-to-Image Translation with Generator-Guided Contrastive Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 af7f8c17d309f466 [] "[""https://github.com/cychoi97/GGCL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CTFlow: Mitigating Effects of Computed Tomography Acquisition and Reconstruction with Normalizing Flows | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b2ff9738a046d5cc [] "[""https://github.com/hsu-lab/ctflow""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CT-guided Unsupervised Super-resolution Reconstruction of Single 3D Magnetic Resonance Image | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 88ff3e99d4104947 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 bfb10a44ff0c2464 [] "[""https://github.com/kakaobrain/cxr-clip""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CycleSTTN: A Learning-Based Temporal Model for Specular Augmentation in Endoscopy | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ed8f9621258af83a [] "[""https://github.com/RemaDaher/CycleSTTN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6b1e13b8a4f56e34 [] "[""https://github.com/csccsccsccsc/DARC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 03ee9d56d85b7dbb [] "[""https://github.com/aimagelab/mil4wsi""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d9bf7f6fa81d7a69 [] "[""https://kits19.grand-challenge.org/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 15695b9f0a23140c [] "[""https://github.com/mpavlak25/data-audit""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DBTrans: A Dual-Branch Vision Transformer for Multi-modal Brain Tumor Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 998ac0e107f27dbd [] "[""https://github.com/Aru321/DBTrans""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DCAug: Domain-aware & Content-consistent Cross-cycle Framework for Tumor Augmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d42bd2f9296d9345 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Debiasing Medical Visual Question Answering via Counterfactual Training | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f544c48c683b29c2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2c8f4d56fb228844 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Decoupled Consistency for Semi-supervised Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 973cbb4692d9719d [] "[""https://github.com/wxfaaaaa/DCNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeDA: Deep Directed Accumulator | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 71fe6aa083c9d451 [] "[""https://github.com/tinymilky/DeDA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 95a1575147c696ef [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0146506425231c07 [] "[""https://github.com/RViMLab/homography_imitation_learning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning for Tumor-associated Stroma Identification in Prostate Histopathology Slides | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 aaf4bf80606d0882 [] "[""https://github.com/zcwang0702/DeepFieldEffect_StromaNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-Based Air Trapping Quantification using Paired Inspiratory-Expiratory Ultra-Low Dose CT | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 939a041feadb8f59 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 35b221e1d5a33250 [] "[""https://github.com/kaipackhaeuser/PriCheXy-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Mutual Distillation for Semi-Supervised Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0fe7d76b86cf997d [] "[""https://github.com/SilenceMonk/Dual-Mutual-Distillation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep probability contour framework for tumour segmentation and dose painting in PET images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3e950928a933e04e [] "[""https://www.aicrowd.com/challenges/miccai-2021-hecktor""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 972333dba4b94800 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep unsupervised clustering for conditional identification of subgroups within a digital pathology image set | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a2ad83f91139bd62 [] "[""https://github.com/DIDSR/DomId""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b60604bfc7fbd2a9 [] "[""https://github.com/mturja-vf-ic-bd/DeepGraphDMD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepSOZ: A Robust Deep Model for Joint Temporal and Spatial Seizure Onset Localization from Multichannel EEG Data | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 011e2885718a9d1c [] "[""https://github.com/deeksha-ms/DeepSOZ.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 585560e51682cc44 [] "[""https://github.com/hrlblab/MolecularEL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ba4715fec2cf9fe2 [] "[""https://nihcc.app.box.com/v/DeepLesion""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deployment of Image Analysis Algorithms under Prevalence Shifts | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 77116c6b82e9e4b2 [] "[""https://github.com/IMSY-DKFZ/prevalence-shifts""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detecting domain shift in multiple instance learning for digital pathology using Fréchet Domain Distance | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 63e1571ecf58019c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detecting the Sensing Area of A Laparoscopic Probe in Minimally Invasive Cancer Surgery | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e86490601891014a [] "[""https://github.com/br0202/Sensing_area_detection.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detection of basal cell carcinoma in whole slide images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 79fbe67332452d46 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detection-free Pipeline for Cervical Cancer Screening of Whole Slide Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 71c0267e1ed73937 [] "[""https://github.com/thebestannie/Detection-free-MICCAI2023""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8f8ecf9d76a47a0e [] "[""https://github.com/limy-ulab/US-SEG""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Development and Fast Transferring of General Connectivity-based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-learner | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a09d802881b8ad06 [] "[""https://github.com/dasklarleo/fMRI_meta/tree/main""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 07d59635f7d2718c [] "[""https://github.com/ShishuaiHu/CCSDG""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 807fc059532199ff [] "[""https://github.com/xmed-lab/DHC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2f56459198d616f0 [] "[""https://github.com/zifuwanggg/JDTLosses""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DiffDP: Radiotherapy Dose Prediction via a Diffusion Model | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 90ff74fe36fcf9fe [] "[""https://github.com/scufzh/DiffDP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Differentiable Beamforming for Ultrasound Autofocusing | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 91e8506410aeb2b5 [] "[""https://github.com/waltsims/dbua""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 cb2b4e317cb1f9e5 [] "[""https://github.com/scott-yjyang/DiffMIC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e761943d6bc7cbfb [] "[""https://github.com/hvcl/DiffMix""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DiffULD: Diffusive Universal Lesion Detection | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e4394fc654dcf83d [] "[""https://github.com/momopusheen/DiffULD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b03b958def72cf30 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1b4fd459fd5eac27 [] "[""https://github.com/Medical-AI-Lab-of-JNU/DKM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diffusion Transformer U-Net for Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 020dd36e37bd1eac [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diffusion-based Data Augmentation for Nuclei Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 574d4fa96cbf7c6a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 03b84164aff82b58 [] "[""https://github.com/ibrahimethemhamamci/HierarchicalDet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DiMix: Disentangle-and-Mix based domain generalizable medical image segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 55f72b8279340b5f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3006632f1824516a [] "[""https://github.com/ImFusionGmbH/DISA-universal-multimodal-registration""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 01b7a5f128d6775f [] "[""https://github.com/xinwangxinwang/DisAsymNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5480adc28a25301f [] "[""https://github.com/Yebulabula/DisC-Diff""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Discovering Brain Network Dysfunction in Alzheimerâ_x0080__x0099_s Disease Using Brain Hypergraph Neural Network | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f915de0b1915a808 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ad0ed5d9a6fee8d6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distilling BlackBox to Interpretable models for Efficient Transfer Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c5a4dbfc09aa6230 [] "[""https://github.com/batmanlab/MICCAI-2023-Route-interpret-repeat-CXRs""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3c8025780d7d3c9c [] "[""https://github.com/noc-lab/drl_mri""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diversity-preserving Chest Radiographs Generation from Reports in One Stage | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a1066b5becf80392 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f3ac48a6b9c55539 [] "[""https://github.com/hexiaoxiao-cs/DMCVR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Do we really need that skip-connection? Understanding its interplay with task complexity | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 72bd5bfb216eb0ad [] "[""https://github.com/amithjkamath/to_skip_or_not""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 50cf3a7efd96797a [] "[""https://github.com/Negin-Ghamsarian/Transformation-Invariant-Self-Training-MICCAI23""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 848b404b1535f3b9 [] "[""https://github.com/htregidgo/joint_diffusion_structural_seg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7f60a6147a195e5e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 33b6a1d65354b345 [] "[""https://github.com/ruefene/doselo""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 88f7949f4fafc7ab [] "[""https://github.com/Yaziwel/Multi-Center-PET-Image-Synthesis""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 14cfb6964799142e [] "[""https://github.com/jmzhang79/Dual-ArbNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3f73de185af5ce50 [] "[""https://github.com/FetalUltrasound/DCDM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual Domain Motion Artifacts Correction for MR Imaging Under Guidance of K-space Uncertainty | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 77ee3be96b48fe01 [] "[""https://github.com/Jiazhen-Wang/D2MC-Net-main""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7db6d5668aa0b236 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6c815a1507e435ad [] "[""https://github.com/Joey2117/DCLU""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dynamic Functional Connectome Harmonics | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 937c71772fb5972c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4f3f866a3519247c [] "[""https://github.com/fightingkitty/MHGSA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN using T1-MRI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7487600a586e0df4 [] "[""https://github.com/Leng-10/DH-ProGCN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 be90a7c4a09f082f [] "[""https://github.com/MasoudMo/echoglad""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5f290cb866388fd6 [] "[""https://github.com/zylbuaa/ECL.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e7e96ea465d58e93 [] "[""https://github.com/Mak-Ta-Reque/EdgeAL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Edge-aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 dc1010ef43cc6cdb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6a11cc0234d481c7 [] "[""https://github.com/Haolin-Yuan/EdgeMixup""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient Spatiotemporal Learning of Microscopic Video for Augmented Reality-Guided Phacoemulsification Cataract Surgery | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9e2d689694257e02 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient Subclass Segmentation in Medical Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 58f60cc3560c17cf [] "[""https://github.com/OvO1111/EfficientSubclassLearning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1abb27c6de0d15fe [] "[""https://github.com/JCruan519/EGE-UNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1ff78426297f088e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 516335916f76966d [] "[""https://github.com/maxrohleder/FUME""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 37e9682d946cd864 [] "[""https://github.com/CAMMA-public/SurgLatentGraph""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 26b4246e3261786d [] "[""https://github.com/Ruyi-Zha/endosurf.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhance Early Diagnosis Accuracy of Alzheimerâ_x0080__x0099_s Disease by Elucidating Interactions between Amyloid Cascade and Tau Propagation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 01e14e86c07abf01 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Automatic Placenta Analysis through Distributional Feature Recomposition in Vision-Language Contrastive Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f85ca5eb6bd0cf0b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e2efaffcb50369ca [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EoFormer: Edge-oriented Transformer for Brain Tumor Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 07f71d69fb1b56cf [] "[""https://github.com/sd0809/EoFormer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5a702bf3db066d54 [] "[""https://github.com/SiyuanYan1/EPVT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Estimated time to surgical procedure completion: An exploration of video analysis methods | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1024513efc5b0ca7 [] "[""https://github.com/theator/etc""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Estimation of 3T MR images from 1.5T images regularized with Physics based Constraint | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 79fe5bc324f35c06 [] "[""https://drive.google.com/drive/folders/1WbzkBJS1BWAje8aF0ty2SWYTQ9i0B7Yr?usp=sharing""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0a67ebb01b5e2757 [] "[""https://github.com/KellaDoe/ERNN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evolutionary normalization optimization boosts semantic segmentation network performance | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 714c22809672e199 [] "[""https://github.com/neuluna/ga-unet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable Image Classification with Improved Trustworthiness for Tissue Characterisation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ba2b3004370e3c50 [] "[""https://github.com/alfieroddan/Explainable-Image-Classification""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task through Visualizing Functions within the Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ebd919554c5d75cb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploring Brain Function-Structure Connectome Skeleton via Self-Supervised Graph-Transformer Approach | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 fe0e98f35813d787 [] "[""https://github.com/kang105/TSGR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploring Unsupervised Cell Recognition with Prior Self-activation Maps | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 77fced14ee119e12 [] "[""https://github.com/cpystan/PSM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1d0fc820b1ee9040 [] "[""https://github.com/code-Porunacabeza/gaze_seg/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Factor Space and Spectrum for Medical Hyperspectral Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f0202b8ba4ca25c8 [] "[""https://github.com/boxiangyun/Dual-Stream-MHSI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2ab42ed3f6d7decc [] "[""https://github.com/XuZikang/FairAdaBN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a688974a20414e5c [] "[""https://github.com/tpinetz/low-dose-gadolinium-mri-synthesis""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 bfbc0e6181f7b0e5 [] "[""https://www.kaggle.com/datasets/awsaf49/brats2020-training-data""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fast Reconstruction for Deep Learning PET Head Motion Correction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a0f75d123d828281 [] "[""https://github.com/OnofreyLab/dl-hmc_fast_recon_miccai2023""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 dd9cb7ddac60baa5 [] "[""https://github.com/HReynaud/EchoDiffusion""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FedContrast-GPA: Heterogeneous Federated Optimization via Local Contrastive Learning and Global Process-aware Aggregation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6a0bc0cf6e8e5584 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FEDD - Fair Efficient and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 26eb6bfe992bb715 [] "[""https://github.com/hectorcarrion/fedd""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Federated Condition Generalization on Low-dose CT Reconstruction via Cross-domain Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 69664d1976720311 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0f6cc1a14c8f2880 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FedGrav: An Adaptive Federated Aggregation Algorithm for Multi-institutional Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5ad8dc840691b4ad [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 56403c900685cbb8 [] "[""https://github.com/wnn2000/FedIIC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ddc8d9ae6ec70d24 [] "[""https://github.com/ubc-tea/FedSoup""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 095edc63b97e13d9 [] "[""https://github.com/haijunkenan/FE-STGNN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 931fe2583142c9ef [] "[""https://github.com/faresmalik/FeSViBS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Few Shot Medical Image Segmentation with Cross Attention Transformer | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f2d5d5dcdd97eec3 [] "[""git@github.com:hust-linyi/CAT-Net.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f19c5261a91fe0df [] "[""https://github.com/YazhouZhu19/RPT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fine-grained Hand Bone Segmentation via Adaptive Multi-dimensional Convolutional Network and Anatomy-constraint Loss | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 bb1573a487560962 [] "[""https://github.com/BL-Zeng/AMCNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6ec3e2c9484c5119 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 734cd3603ac21fd1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FLIm-based In Vivo Classification of Residual Cancer in the Surgical Cavity during Transoral Robotic Surgery | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d18dbb7b771bfe76 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Flow-based Geometric Interpolation of Fiber Orientation Distribution Functions | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 84165016e7dbf3ed [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3f048fa7f97c96fe [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FocalUNETR: A Focal Transformer for Boundary-aware Prostate Segmentation using CT Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c29d185afb3b20f5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 94c3e2095f1c8b67 [] "[""https://github.com/ladderlab-xjtu/forensic_pathology""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Forward-solution aided deep-learning framework for patient-specific noninvasive cardiac ectopic pacing localization | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d219d28658878f55 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 92e0e1402d84ef47 [] "[""GitHub.com/JLiangLab/Ark""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 be35b223f782af31 [] "[""https://github.com/med-air/Endo-FM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5d03e6284573a0c3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 65eb4c839b75a401 [] "[""https://github.com/Masaaki-75/freeseed""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5d541f370c7d2d0f [] "[""https://github.com/asif-hanif/vafa""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7af0f81658443775 [] "[""https://github.com/liamheng/Non-IID_Medical_Image_Segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Mesh Completion to AI Designed Crown | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0ad0f95070a52fb4 [] "[""https://github.com/Golriz-code/DMC.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Sparse to Precise: A Practical Editing Approach for Intracardiac Echocardiography Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 06153d69063db09f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Tissue to Sound: Model-based Sonification of Medical Imaging | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 58a578cbe98e7e74 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 34b443e04dafd502 [] "[""https://github.com/xmed-lab/FSDiffReg.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Full Image-index Remainder based Single Low-dose DR/CT Self-supervised Denoising | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d3890be9833ebd56 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fully Bayesian VIB-DeepSSM | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5713bfdd7e1f80b8 [] "[""https://github.com/jadie1/BVIB-DeepSSM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1c4755ab26d0a56a [] "[""https://github.com/xmed-lab/FDDM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 abd74cdd0ed381a5 [] "[""https://github.com/HMS-CardiacMR/Myocardial_Scar_Detection""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gall Bladder Cancer Detection from US Images with Only Image Level Labels | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 09ce76d09694d3aa [] "[""https://gbc-iitd.github.io/wsod-gbc""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gene-induced Multimodal Pre-training for Image-omic Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d0227201892314c3 [] "[""https://github.com/huangwudiduan/GIMP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generating High-Resolution 3D CT with 12-bit Depth using a Diffusion Model with Adjacent Slice and Intensity Calibration Network | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 505b9e431941eee4 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1805d621757a2a53 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Geometric Ultrasound Localization Microscopy | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 cb3bfa607821a983 [] "[""https://zenodo.org/record/4343435""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Geometry-adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 db797438b6d90e9c [] "[""https://github.com/Meteorary/GALA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Geometry-invariant abnormality detection | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 fdb8d32b91bb923d [] "[""https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=93258287""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7a0719d3b3bc4b32 [] "[""https://github.com/xmed-lab/GL-Fusion""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6ae983e84d05c353 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GLSFormer : Gated - Long Short Sequence Transformer for Step Recognition in Surgical Videos | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f3fa6715501cbaf0 [] "[""https://github.com/nisargshah1999/GLSFormer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 84293ed2952831f2 [] "[""https://github.com/MediaBrain-SJTU/GPFL-GRACE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e87bd03cb0ecd506 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Graph Convolutional Network with Morphometric Similarity Networks for Schizophrenia Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 201b7b949efa90b8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Graph-theoretic automatic lesion tracking and detection of patterns of lesion changes in longitudinal CT studies | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c9b273c6b96306fa [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GSDG: Exploring A Global Semantic-guided Dual-stream Graph Model for Automated Volume Differential Diagnosis and Prognosis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f80bace625d71d0f [] "[""http://ncov-ai.big.ac.cn/download?lang=en""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3c1a4c59c3ed5e86 [] "[""https://github.com/wulalago/GSMorph""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ca51971e985e8fee [] "[""https://github.com/Zrrr1997/Guiding-The-Guidance""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +H2GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6eb1110f20408f53 [] "[""https://github.com/CUHK-AIM-Group/HHGM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HACL-Net: Hierarchical Attention and Contrastive Learning Network for MRI-Based Placenta Accreta Spectrum Diagnosis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 22ed9ddeb5d11756 [] "[""https://github.com/LouieBHLu/HACL-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 93f9565e74adb5ff [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e5fe26c10ff40230 [] "[""https://github.com/ShanghaiTech-IMPACT/Periodental_Disease""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 44270198e2fbcdbf [] "[""https://github.com/shijun18/H-DenseFormer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6912a617c058f2d5 [] "[""https://github.com/CODESofWenqi/HENet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 45a79ebe97dd9081 [] "[""https://github.com/PLAN-Lab/CheXRelFormer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +High-Quality Virtual Single-Viewpoint Surgical Video: Geometric Autocalibration of Multiple Cameras in Surgical Lights | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8a3c1e259ff35364 [] "[""https://github.com/isogawalab/SingleViewSurgicalVideo""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +High-Resolution Cranial Defect Reconstruction by Iterative Low-Resolution Point Cloud Completion Transformers | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 898e6022b768552a [] "[""https://github.com/MWod/DeepImplant_MICCAI_2023""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 edd3a764f238372a [] "[""https://github.com/HKU-MedAI/HIGT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Histopathology Image Classification using Deep Manifold Contrastive Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 fc7105d24975e096 [] "[""https://github.com/hvcl/Deep-Manifold-Contrastive-Learning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers? | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9063ecd383c74468 [] "[""https://github.com/VITA-Group/PruneCXR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +How Reliable are the Metrics Used for Assessing Reliability in Medical Imaging? | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d777aea6b63bdf02 [] "[""https://github.com/MayankGupta73/Robust-Calibration""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Identification of Disease-sensitive Brain Imaging Phenotypes and Genetic Factors using GWAS Summary Statistics | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4fad0ee627861846 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IIB-MIL: Integrated instance-level and bag-level multiple instances learning with label disambiguation for pathological image analysis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 90ee77b966d442b1 [] "[""https://github.com/TencentAILabHealthcare/IIB-MIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 42c2cd4c994762f1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 032b9a81be461a40 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 24e641b585b9acb9 [] "[""https://github.com/charlesyou999648/MORSE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brain | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b3c6af67142c5549 [] "[""https://github.com/BrainImageAnalysis/ImpRegDec""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Importance Weighted Variational Cardiac MRI Registration Using Transformer and Implicit Prior | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3e3d3a0b18a78dec [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improved flexibility and interpretability of large vessel stroke prognostication using image synthesis and multi-task learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 970fadfb3f5feba3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improved Multi-Shot Diffusion-Weighted MRI with Zero-Shot Self-Supervised Learning Reconstruction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a36b93e75a051645 [] "[""https://github.com/jaejin-cho/miccai2023""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2fe18a3cfe300179 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6f2166b4986040e5 [] "[""https://github.com/DasuberVetLeonidas/SwooshActivationFunction""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d0003abb10a55341 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Outcome Prediction of Pulmonary Embolism by De-Biased Multi-Modality Model | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7027162a30bac465 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Pathology Localization: Multi-Series Joint Attention Takes the Lead | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2ce1f62fd0cb9f2a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Incomplete Multimodal Learning for Visual Acuity Prediction after Cataract Surgery Using Masked Self-Attention | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0918766346c87a47 [] "[""https://github.com/liyiersan/MSA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 392dccfaaea1510e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3d9c9f6fbcbb9752 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Infusing physically inspired known operators in deep models of ultrasound elastography | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1b03c89be446d64b [] "[""http://code.sonography.ai/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Instance-Aware Diffusion Model for Gland Segmentation in Colon Histology Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d1ee37b59942ff70 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Instructive Feature Enhancement for Dichotomous Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 dc79dc096f781a0c [] "[""https://github.com/yezi-66/IFE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Intelligent Virtual B-scan Mirror (IVBM) | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8cf44e82015bce33 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable Deep Biomarker for Serial Monitoring of Carotid Atherosclerosis Based on Three-Dimensional Ultrasound Imaging | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 bed10a48586f6a20 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable Medical Image Classification using Prototype Learning and Privileged Information | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4980c12c29eac95d [] "[""https://github.com/XRad-Ulm/Proto-Caps""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Inter-slice Consistency for Unpaired Low-Dose CT Denoising using Boosted Contrastive Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6f3af81b5d63faf6 [] "[""https://www.aapm.org/grandchallenge/lowdosect/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Intraoperative CT augmentation for needle-based liver interventions | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7b5d5ad529369616 [] "[""https://github.com/Sidaty1/Intraoperative_CT_augmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Intra-operative Forecasting of Standing Spine Shape with Articulated Neural Kernel Fields | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0d4b2832c32ffece [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Inverse Consistency by Construction for Multistep Deep Registration | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2b94fd4eb4f53e59 [] "[""https://github.com/uncbiag/ByConstructionICON""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ddd9ba869727e80a [] "[""https://github.com/BioMedAI-UCSC/InverseSR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ischemic stroke segmentation from a cross-domain representation in multimodal diffusion studies | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1e6c89ea90b9a273 [] "[""https://gitlab.com/bivl2ab/research/2023-cross-domain-stroke-segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5115d898700e4071 [] "[""https://github.com/Dootmaan/ICMIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +JCCS-PFGM: A Novel Circle-Supervision based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 444243e128064d54 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Dense-Point Representation for Contour-Aware Graph Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 96da2b923594008f [] "[""https://github.com/kitbransby/Joint_Graph_Segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint optimization of a β-VAE for ECG task-specific feature extraction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 227dd48107c9a2f0 [] "[""https://github.com/ViktorvdValk/Task-Specific-VAE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint prediction of response to therapy molecular traits and spatial organisation in colorectal cancer biopsies | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 cb763ecc91e2db84 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 44a6747d352ad96f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Segmentation and Sub-Pixel Localization in Structured Light Laryngoscopy | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6532a19af544820a [] "[""https://github.com/Henningson/SSSLsquared""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d88b0142fa753d52 [] "[""https://github.com/ChenXiaoFei-CS/KoBo""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e69623ffde536542 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Label-Free Nuclei Segmentation Using Intra-Image Self Similarity | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f55170e7987b4676 [] "[""https://monuseg.grand-challenge.org/Data/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Label-preserving Data Augmentation in Latent Space for Diabetic Retinopathy Recognition | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1ffdbcc08bb37dea [] "[""https://github.com/AIEyeSystem/LpDA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c1fb666bc3cfea6a [] "[""https://github.com/egeozsoy/LABRAD-OR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 64e937dd5b3c6613 [] "[""https://github.com/mindflow-institue/Laplacian-Former""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 169e4765f4d20a03 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learnable Query Initialization for Surgical Instrument Instance Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 159d31c1869f0b53 [] "[""https://github.com/AINeurosurgery/Learnable-QPD-for-maskDINO""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 60d9f6d690692cce [] "[""https://github.com/haijunkenan/LSGNN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5d21a41d2578d4a8 [] "[""https://github.com/chrisdcs/LAMA-Learned-Alternating-Minimization-Algorithm""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c2aeaad5045a832f [] "[""https://github.com/seuzjj/ACIFBN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2c781431133e8d00 [] "[""https://github.com/xmed-lab/DIF-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Expected Appearances for Intraoperative Registration during Neurosurgery | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4c7cbefb2a1478fb [] "[""https://github.com/rouge1616/ExApp/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 eb72aa372ce069fd [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning normal asymmetry representations for homologous brain structures | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9f91a04c7684c70b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Ontology-based Hierarchical Structural Relationship for Whole Brain Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1328c5127ca93036 [] "[""https://github.com/CRazorback/OHSR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Reliability of Multi-Modality Medical Images for Tumor Segmentation via Evidence-Identified Denoising Diffusion Probabilistic Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 346efff3b4ff5ae6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1e44e562d650de12 [] "[""https://www.nature.com/articles/sdata2018161""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1361e082c61ad3cc [] "[""https://github.com/nileshkumar0726/Learning_Transformations""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning with Domain-Knowledge for Generalizable Prediction of Alzheimerâ_x0080__x0099_s Disease from Multi-Site Structural MRI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 fcb1650abebd2829 [] "[""https://github.com/Yanjie-Z/DomainKnowledge4AD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 98963355bd79200f [] "[""https://github.com/xyang258/livdetSDG""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lesion-aware Contrastive Learning for Diabetic Retinopathy Diagnosis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 080a377e5696c259 [] "[""https://github.com/IntelliDAL/Image""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2c3021270b281dfe [] "[""https://doi.org/10.7303/syn26707219""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f224672f6beeec7d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 47455b6f962f02ed [] "[""https://github.com/longbai1006/LLCaps""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Localized Questions in Medical Visual Question Answering | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 37de8eea0d36b548 [] "[""https://github.com/sergiotasconmorales/locvqa""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0808bbc42556c083 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 cbcff176dcd88bcb [] "[""https://github.com/MASILab/lmsignatures""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LOTUS: Learning to Optimize Task-based US representations | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d8502c037fd3e730 [] "[""https://github.com/danivelikova/lotus""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Low-dose CT image super-resolution network with dual-guidance feature distillation and dual-path content communication | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 aa9e0e5279309852 [] "[""https://github.com/neu-szy/dual-guidance_LDCT_SR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LSOR: Longitudinally-Consistent Self-Organized Representation Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0a2acecbda749756 [] "[""https://github.com/ouyangjiahong/longitudinal-som-single-modality""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 aaad681d40234873 [] "[""https://github.com/ctom2/lucyd-deconvolution/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0b559b6694c55b88 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +M3D-NCA: Robust 3D Segmentation with Built-in Quality Control | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e5c3655ac66167d9 [] "[""github.com/MECLabTUDA/M3D-NCA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7947db13b321a269 [] "[""https://github.com/Information-Fusion-Lab-Umass/CUSSP_UKB_MR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ed838ea742b22df0 [] "[""https://rire.insight-journal.org/index.html""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f4e9619a03d2e38e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 81bf2feadd80a4b1 [] "[""https://github.com/matt-baugh/many-tasks-make-light-work""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5b80d453ea9b53e0 [] "[""https://github.com/MoriLabNU/MFC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2c149f927aaa5cb1 [] "[""https://github.com/pengfeiliHEU/MUMC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Maximum Entropy on Erroneous Predictions: Improving model calibration for medical image segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3b49acb3b29ae11a [] "[""https://github.com/agosl/Maximum-Entropy-on-Erroneous-Predictions/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Maximum-entropy estimation of joint relaxation-diffusion distribution using multi-TE diffusion MRI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5f2c110606db5f5d [] "[""https://github.com/LipengNing/ME-RDD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e3c90f18937ed51b [] "[""https://github.com/SMU-MedicalVision/MDA-SR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 123a9226e54920c6 [] "[""https://github.com/siyi-wind/MDViT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 02f8bcf58eebe5d0 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Medical Boundary Diffusion Model for Skin Lesion Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d1736b70ca8ef526 [] "[""https://github.com/jcwang123/MBDiff""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 427044fa12130f86 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MedIM: Boost Medical Image Representation via Radiology Report-guided Masking | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b809c495f4b8f061 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 649176f73e8dd426 [] "[""https://github.com/MIC-DKFZ/MedNeXt""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Memory Replay for Continual Medical Image Segmentation through Atypical Sample Selection | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6f9d1e5bec05def1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 78186e0c73610cb5 [] "[""https://github.com/hongwang01/MEPNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b0ac008fad32a87f [] "[""https://github.com/MungoMeng/Survival-XSurv""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e75a8fc11be40992 [] "[""https://github.com/iyerkrithika21/mesh2SSM_2023/tree/main""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ea4796b8bc048798 [] "[""https://github.com/Schuture/MetaLR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6b8229a299636be1 [] "[""https://github.com/cheliu-computation/m-flag-miccai2023""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2459567e207cd64d [] "[""https://github.com/MaloADBA/MGenSeg_2D""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Microstructure Fingerprinting for Heterogeneously Oriented Tissue Microenvironments | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f943b88c968f44e5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Minimal-supervised Medical Image Segmentation via Vector Quantization Memory | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7d5471cab823e7da [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 81d798dbcfa75380 [] "[""https://github.com/HaojunYu1998/UltraDet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2bca9769fe29f4b5 [] "[""https://github.com/yuan-12138/MI-SegNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ee9a687b743340e6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 02ff10e75ed2137c [] "[""https://github.com/naivete5656/MDPAFOF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mitral Regurgitation Quantification from Multi-channel Ultrasound Images via Deep Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 792fcfb4798eddb8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 91401f83b164e2e6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5ae9436f0dfc0ea5 [] "[""https://gitlab.com/mgadermayr/mixupmil""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f589340ecbf3bad9 [] "[""https://github.com/vito1820/MoCoSR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modeling Alzheimersâ_x0080__x0099_ Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6054ee8b68048936 [] "[""https://github.com/IntelliDAL/Graph/tree/main/SMP-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ab8a937bbb82a6f1 [] "[""https://github.com/ZAX130/SmileCode""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 db6fcc4ac87c412e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ModusGraph: Automated 3D and 4D Mesh Model Reconstruction from cine CMR with Improved Accuracy and Efficiency | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0d175d00e8e54042 [] "[""https://github.com/MalikTeng/ModusGraph""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4e4b26f64e8be177 [] "[""https://github.com/xmed-lab/MSSG""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Motion Compensated Unsupervised Deep Learning for 5D MRI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2e20b20248a0d66b [] "[""https://github.com/joseph-kettelkamp/5D_MRI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MPBD-LSTM: A Predictive Model For Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 fef48e519ae6d514 [] "[""https://github.com/XueyangLiOSU/MPBD-LSTM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 044e057b45f194d7 [] "[""https://github.com/uncbiag/MRIS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2d8f0eb2e4a24690 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MulHiST: Multiple Histological Staining for Thick Biological Samples via Unsupervised Image-to-Image Translation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 82b51c06b4b4be3c [] "[""https://github.com/TABLAB-HKUST/MulHiST""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Head Multi-Loss Model Calibration | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1d273db9dca4ec80 [] "[""https://github.com/agaldran/mhml_calibration""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2ae8171433857fd2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal brain age estimation using interpretable adaptive population-graph learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1aac44b34b1e17c2 [] "[""https://github.com/bintsi/adaptive-graph-learning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4ba7fa2c2e34fe94 [] "[""https://doi.org/10.5281/zenodo.7442914""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 493e45b2435f1934 [] "[""https://github.com/nasyxx/MDF-HS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0d379d2bc2bb1e0e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Modal Semi-supervised Evidential Recycle Framework for Alzheimerâ_x0080__x0099_s Disease Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4b2f70026a11f409 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-modal Variational Autoencoders for normative modelling across multiple imaging modalities | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 93b5e0b29eeb7428 [] "[""https://github.com/alawryaguila/multimodal-normative-models""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0e848bb5233007e5 [] "[""https://github.com/qgking/MM-CL.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-objective point cloud autoencoders for explainable myocardial infarction prediction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8bcf52e98aa6840c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-perspective Adaptive Iteration Network for Metal Artifact Reduction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 245e5dc389d84378 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multiple Prompt Fusion for Zero-Shot Lesion Detection Using Vision-Language Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5136cf09a6eef25a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3879fdae9d6e9d0b [] "[""https://github.com/MediaBrain-SJTU/ECGAD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Scale Prototypical Transformer for Whole Slide Image Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 53d294b2133b352a [] "[""TCGA https://portal.gdc.cancer.gov""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Scale Self-Supervised Learning for Longitudinal Lesion Tracking with Optional Supervision | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1e74c71fd2c7a8db [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image based Cancer Survival Prediction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e18dbd5daef75a8a [] "[""https://github.com/Baeksweety/superpixel_transformer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-shot Prototype Contrastive Learning and Semantic Reasoning for Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e07a981cc83ab9da [] "[""https://github.com/H51705/FSS_MPSNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a86e29c271f83bde [] "[""https://github.com/MIC-DKFZ/MultiTalent""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 64a5cf5e8bb38468 [] "[""https://github.com/MurasakiLin/prompt-DA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e953bc861f6dbaa9 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4d3dc0b72fa57595 [] "[""https://portal.gdc.cancer.gov/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-view Guidance for Self-supervised Monocular Depth Estimation on Laparoscopic Images via Spatio-temporal Correspondence | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 448345ecb3c55a33 [] "[""https://github.com/MoriLabNU/MGMDepthL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-View Vertebra Localization and Identification from CT Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ebfcb34f92913c15 [] "[""https://github.com/ShanghaiTech-IMPACT/Multi-View-Vertebra-Localization-and-Identification-from-CT-Images""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 27812aac732df85b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 012c1a445af8f487 [] "[""https://github.com/4m4n5/NASDM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b544f99e78356825 [] "[""https://github.com/Loping151/LerPlane""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 650d1e32f0df99cc [] "[""https://github.com/Novestars/Neural_Pre_Processing""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b01608837ae0d27a [] "[""https://github.com/ladderlab-xjtu/NeuroExplainer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NISF: Neural Implicit Segmentation Functions | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 188209e385a23904 [] "[""https://github.com/NILOIDE/Implicit_segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Noise Conditioned Weight Modulation for Robust and Generalizable Low Dose CT Denoising | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f81ca5905e5d7566 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6dd33a7bf2558877 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 da984f9fb446013c [] "[""https://github.com/MungoMeng/Registration-NICE-Trans""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Nonuniformly Spaced Control Points based on Variational Cardiac Image Registration | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4d3dee7d735348f1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +On the Relevance of Temporal Features for Medical Ultrasound Video Recognition | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2c330a63e6f45319 [] "[""https://github.com/MedAI-Clemson/pda_detection""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3e15ff762db7f051 [] "[""https://github.com/myeongkyunkang/FedISCA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 aaad52e38b2942d7 [] "[""https://github.com/hsiangyuzhao/TBIOneShot""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 53b70323dee78189 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5df6bfd60bf391a8 [] "[""https://github.com/tjvsonsbeek/open-ended-medical-vqa""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8298a82827f64182 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optical Ultrasound Imaging for Endovascular Repair of Abdominal Aortic Aneurysms: A Pilot Study | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1a3369ab7e5494a3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optimizing the 3D Plate Shape for Proximal Humerus Fractures | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d5843d7f49b8d598 [] "[""https://humerusplate.is.tue.mpg.de/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Overall Survival Time Prediction of Glioblastoma on Preoperative MRI Using Lesion Network Mapping | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c664066727451c4a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6321096bd9ef0278 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e02e638ddc93b8ab [] "[""https://github.com/ZhangZ7112/PVA-CAS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Partially Supervised Multi-Organ Segmentation via Affinity-aware Consistency Learning and Cross Site Feature Alignment | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6dd1e751f2e96216 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PAS-Net: Rapid Prediction of Antibiotic Susceptibility from Fluorescence Images of Bacterial Cells Using Parallel Dual-branch Network | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 33171400419f9bf1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Path-based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 034de262628872df [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0006ca51e734c7ad [] "[""https://github.com/Cassie07/PathOmics""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image Analysis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5aa609113c4f7f49 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 54fe99ab24a02a06 [] "[""https://github.com/eyalhana/PCMC-T1""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5da4a9c866b1934d [] "[""https://github.com/benjamindkilleen/pelphix""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pelvic Fracture Reduction Planning Based on Morphable Models and Structural Constraints | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 66e9363b6608dba1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pelvic Fracture Segmentation Using a Multi-scale Distance-weighted Neural Network | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 43dbe6160d22878d [] "[""https://github.com/YzzLiu/FracSegNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Performance Metrics for Probabilistic Ordinal Classifiers | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 181e98fd9d9aeffa [] "[""github.com/agaldran/prob_ord_metrics""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Personalized Patch-based Normality Assessment of Brain Atrophy in Alzheimerâ_x0080__x0099_s Disease | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 50b1b453f95134a5 [] "[""https://adni.loni.usc.edu/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PET Image Denoising with Score-Based Diffusion Probabilistic Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 df1cbcbdb41b3e63 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PET-diffusion: Unsupervised PET Enhancement based on the Latent Diffusion Model | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 aadc077064a276a3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Physics-based Decoding Improves Magnetic Resonance Fingerprinting | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 591af3a49e6d19d3 [] "[""https://github.com/rmrisforbidden/CauMedical.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c0d1f34e38d9ea49 [] "[""https://git5.cs.fau.de/rajput/picae""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance Elastography | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 abbe16420616701e [] "[""https://github.com/batmanlab/MRE-PINN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pick and Trace: Instance Segmentation for Filamentous Objects with a Recurrent Neural Network | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 bdc3c37810f6b332 [] "[""https://github.com/VimsLab/DRIFT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8f4ac0ded78417ab [] "[""https://github.com/EndoluminalSurgicalVision-IMR/CCFV""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PIViT: Large Deformation Image Registration with Pyramid-Iterative Vision Transformer | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 245fe81a3611a9b2 [] "[""https://github.com/Torbjorn1997/PIViT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PLD-AL: Pseudo-Label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 31ca89b74e164a0f [] "[""https://github.com/CrystalWei626/PLD_AL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1e0feee13e17f76c [] "[""https://github.com/WeixiongLin/PMC-CLIP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Point Cloud Diffusion Models for Automatic Implant Generation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e68e2ba982895c76 [] "[""https://github.com/pfriedri/pcdiff-implant""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ff44382493c5183d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Polar-Net: A Clinical-Friendly Model for Alzheimerâ_x0080__x0099_s Disease Detection in OCTA Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 605d96c988f4c5c6 [] "[""https://github.com/iMED-Lab/Polar-Net-Pytorch.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Position-aware masked autoencoder for histopathology WSI representation learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 68c3c9ff93fbe3cf [] "[""https://github.com/WkEEn/PAMA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 833f9f22c1d6d2b9 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0da29d55a5fbccbb [] "[""https://batfacewayne.github.io/POV_Surgery_io/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-Contexts Discriminator GAN | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 270fdc6f6f9a3cfa [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of Cognitive Scores by Joint Use of Movie-watching fMRI Connectivity and Eye Tracking via Attention-CensNet | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c7cee6d07db72a6b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of Infant Cognitive Development with Cortical Surface-based Multimodal Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ffca9a04699f1e1e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5e0ef1a1582803ca [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5aa64df88bb3ee28 [] "[""https://github.com/bowang-lab/DPM-MedImgEnhance""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prior-driven Dynamic Brain Networks for Multi-Modal Emotion Recognition | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 559b35374da97eee [] "[""http://www.eecs.qmul.ac.uk/mmv/datasets/deap/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Privacy-preserving Early Detection of Epileptic Seizures in Videos | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c3b634b7ff5a3123 [] "[""https://github.com/DevD1092/seizure-detection""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2e4adf57a8db2999 [] "[""https://github.com/Seasonsling/PETNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ee77ca7585f7208c [] "[""https://github.com/caijd2000/MICCAI2023-VVC-Screening""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Progressively Coupling Network for Brain MRI Registration in Few-shot Situation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c3af42b23113d326 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prompt-based Grouping Transformer for Nucleus Detection and Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e33e5f5d3bd8e9c1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ee6a86ca56aa277d [] "[""https://github.com/cvlab-stonybrook/PromptMIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PROnet: Point Refinement using Shape-guided Offset Map for Nuclei Instance Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9433292da59ba554 [] "[""https://monusac-2020.grand-challenge.org/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 06cf2a947db2151c [] "[""https://github.com/hooman007/ProtoASNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 15cf394d85d5b750 [] "[""https://github.com/ladderlab-xjtu/DeepPWML""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +QCResUNet: Joint Subject-level and Voxel-level Prediction of Segmentation Quality | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 46f0a5898989e9c4 [] "[""https://github.com/peijie-chiu/QC-ResUNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ec62c2aaa808ff12 [] "[""https://github.com/xmed-lab/RIDL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reporting | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 592302ed5870fdcf [] "[""https://github.com/ChantalMP/Rad-ReStruct""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6a35bd9fe543cb18 [] "[""https://github.com/iMED-Lab/RBGnet-Pytorch.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 bfa9fb3f4dd810a5 [] "[""https://github.com/mkang315/RCS-YOLO""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Realistic endoscopic illumination modeling for NeRF-based data generation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3e923fcd0e8256a0 [] "[""https://github.com/surgical-vision/REIM-NeRF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reconstructing the Hemodynamic Response Function via a Bimodal Transformer | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2222da9dbeda4262 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Recruiting the best teacher modality: A customized knowledge distillation method for IF based nephropathy diagnosis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1da63bc641b6c7f7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 fb4a8e32c0dfe7eb [] "[""https://github.com/BeileiCui/MS-TFAL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 57a36cc1149b09cb [] "[""https://github.com/IBM/DOT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in Transoesophageal Echocardiography | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 eb8ea41143628ed8 [] "[""https://github.com/wzjialang/SR-AQA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 70d0535c5a8a7328 [] "[""https://github.com/ThijsKuipers1995/gconv""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Regularized Kelvinlet Functions to Model Linear Elasticity for Image-to-Physical Registration of the Breast | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f0e0a4510a234923 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 603412373878144f [] "[""https://github.com/dryewu/RDSI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reliable Multimodality Eye Disease Screening via Mixture of Studentâ_x0080__x0099_s t Distributions | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 418688456361a13d [] "[""https://github.com/Cocofeat/EyeMoSt""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Representation Alignment Fusion: A Generic Transformer-based Framework for Multi-modal Glaucoma Recognition | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e40a0c552c20f493 [] "[""https://github.com/YouZhouRUC/MM-RAF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RESToring Clarity: Unpaired Retina Image Enhancement using Scattering Transform | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5a3dfa425602a3eb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4ad6f5d404a2689c [] "[""https://github.com/PramitSaha/IsoFed-MICCAI-2023""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6cf138edd1b4943c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Retinal Thickness Prediction from Multi-modal Fundus Photography | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e6d3ad56cdc7da24 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4efbe67869038763 [] "[""https://github.com/maxdreyer/Reveal2Revise""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3a9e73e638714d1d [] "[""https://github.com/YongshengPan/ASEG-for-PET2CT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 491e1b1b45ad200b [] "[""https://github.com/ci-ber/PHANES""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7d77486208b8496f [] "[""https://github.com/longbai1006/CS-VQLA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Revisiting Feature Propagation and Aggregation in Polyp Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3d3f649ac7ad97be [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 29f02c3038f80b59 [] "[""https://github.com/FarihaHossain/SwinFSR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d45e62ee79b2d1b8 [] "[""https://github.com/ss-sun/right-for-the-wrong-reason""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 65a363a679402b7d [] "[""https://github.com/MELDProject/meld_graph""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Cervical Abnormal Cell Detection via Distillation from Local-scale Consistency Refinement | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a2d5e2d249d81c82 [] "[""https://github.com/feimanman/Cervical-Abnormal-Cell-Detection""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust estimation of the microstructure of the early developing brain using deep learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9dfca178e13844e7 [] "[""https://github.com/Medical-Image-Analysis-Laboratory/Perinatal_fODF_DL_estimation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ffa8894d9b66a93b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Hough and Spatial-To-Angular Transform Based Rotation Estimation for Orthopedic X-Ray Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f403aa9c9f33fd4d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Segmentation via Topology Violation Detection and Feature Synthesis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b8c27fc4e4a8d449 [] "[""https://github.com/smilell/Topology-aware-Segmentation-using-Euler-Characteristic""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust T-Loss for Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 77553b45728fe7dd [] "[""https://robust-tloss.github.io/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust vertebra identification using simultaneous node and edge predicting Graph Neural Networks | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 32f614a27f1ec215 [] "[""https://github.com/ImFusionGmbH/VID-vertebra-identification-dataset""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 11dd3bbc1ae4ff6a [] "[""https://github.com/lofrienger/S2ME""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5fe4d1108c0dc8f2 [] "[""https://github.com/alexanderbaumann99/S3M""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 352a3c594acb71dc [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 63e7109b682aeff1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scale Federated Learning for Label Set Mismatch in Medical Image Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 472636af7e3c7f57 [] "[""https://github.com/dzp2095/FedLSM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d053fd1df0219879 [] "[""https://github.com/SplinterLi/SaTTCA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scaling Up 3D Kernels with Bayesian Frequency Re-Parameterization for Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4f5f928f489187f7 [] "[""https://github.com/MASILab/RepUX-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 503e19e809fcb6bf [] "[""https://github.com/AfsahS/Supervised-Contrastive-Ordinal-Loss-for-Ordinal-Regression""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 bf48d7163b3412e2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Second-course Esophageal Gross Tumor Volume Segmentation in CT with Prior Anatomical and Radiotherapy Information | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7c8e7df7906ab14b [] "[""https://competitions.codalab.org/competitions/21145""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SEDSkill: Surgical Events Driven Method for Skill Assessment from Thoracoscopic Surgical Videos | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b091ad00e167ee95 [] "[""https://github.com/xmed-lab/SEDSkill""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-level Supervision | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 64fb6c57c667e512 [] "[""https://github.com/Lion-shine/Segment-Membranes-and-Nuclei-from-Histopathological-Images-via-Nuclei-Point-level-Supervision""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmentation Distortion: Quantifying Segmentation Uncertainty under Domain Shift via the Effects of Anomalous Activations | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 70915188558229d3 [] "[""https://github.com/MedVisBonn/Segmentation-Distortion/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 12faa21d20e72fad [] "[""https://github.com/neheller/kits19/blob/master/LICENSE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SegmentOR: Obtaining Efficient Operating Room Semantics Through Temporal Propagation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 dd4838d4ada6b5b5 [] "[""https://github.com/bastianlb/segmentOR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 dc3dd99b86d2c508 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self- and Semi-Supervised Learning for Gastroscopic Lesion Detection | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ceaeabdaf4dfa459 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-adaptive Adversarial Training for Robust Medical Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 30c33b2901b033e2 [] "[""https://github.com/TrustAI/SEAT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 cacbb32a56fa0f50 [] "[""https://github.com/Medsemiseg/SCP-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-distillation for surgical action recognition | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 53cc05d576a9d00c [] "[""https://github.com/CAMMA-public/cholect45""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-feedback Transformer: A Multi-label Diagnostic Model for Real-world Pancreatic Neuroendocrine Neoplasms Data | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 29a77ae36e7ac146 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5d3b24a9af87f01e [] "[""https://github.com/chinmay5/ms_progression""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-supervised dense representation learning for live-cell microscopy with time arrow prediction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 78ae3e169f28ed8f [] "[""https://github.com/weigertlab/tarrow""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8c61187b5580312a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Learning for Endoscopic Video Analysis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c8eaf8c87eed0e2e [] "[""https://github.com/RoyHirsch/endossl""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2cee219c8017eb66 [] "[""https://github.com/FrancescaDB/self_supervised_PBPK_modelling""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 22a4a572b33c4bb3 [] "[""https://github.com/j-morano/multimodal-ssl-fpn""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised MRI Reconstruction with Unrolled Diffusion Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d54a894669dbf839 [] "[""https://github.com/yilmazkorkmaz1/ssdiffrecon""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Polyp Re-Identification in Colonoscopy | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 bbf2f7638e15c477 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-supervised Sim-to-Real Kinematics Reconstruction for Video-based Assessment of Intraoperative Suturing Skills | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 686f8fdd12169f25 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semantic difference guidance for the uncertain boundary segmentation of CT left atrial appendage | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 01fbf2764b97be08 [] "[""https://github.com/AlexYouXin/LA-LAA-segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semantic segmentation of surgical hyperspectral images under geometric domain shifts | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a3267fe96fc61d7f [] "[""https://github.com/IMSY-DKFZ/htc""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semantic Virtual Shadows (SVS) for Improved Perception in 4D OCT Guided Surgery | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6fffc22c01a6917a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c48d728fcc4ae3f7 [] "[""https://github.com/IsYuchenYuan/SSCI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 59f24de0561b799e [] "[""https://github.com/hritam-98/GFDA-disentangled""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ff7f3ff8aec32281 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SENDD: Sparse Efficient Neural Depth and Deformation for Tissue Tracking | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 46d8407790bf3ec2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SFusion: Self-attention based N-to-One Multimodal Fusion Block | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f3f0611a661b0fb0 [] "[""https://github.com/scut-cszcl/SFusion""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 87d90d30f2347e73 [] "[""https://github.com/dengchihwei/LCNetVesselSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Shape-based pose estimation for automatic standard views of the knee | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e88668e4fd532353 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 74d809a6d2993c80 [] "[""https://github.com/jhl-Det/FLA-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e55ad54c46efeef9 [] "[""https://github.com/xiely-123/SHISRCNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8f96d595814b34db [] "[""https://github.com/Abner228/SmileCode""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f163ea53e1e6b076 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Simulation-based parameter optimization for fetal brain MRI super-resolution reconstruction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9158ecc9329296bc [] "[""https://zenodo.org/record/8123677""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ca68991cc776f0f5 [] "[""https://github.com/jqmcginnis/multi_contrast_inr/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Skin Lesion Correspondence Localization in Total Body Photography | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2753fa56ce52af5b [] "[""https://github.com/weilunhuang-jhu/LesionCorrespondenceTBP3D""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SLPD: Slide-level Prototypical Distillation for WSIs | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a96491dfa8dfaa3c [] "[""https://github.com/Carboxy/SLPD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a5c07d7df0b95c93 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 38dc631be2ad3968 [] "[""https://github.com/YunanWu2168/SA-MIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4b4106e673f6294a [] "[""mridata.org""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Soft-tissue Driven Craniomaxillofacial Surgical Planning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f30be0128b385865 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Solving Low-Dose CT Reconstruction via GAN with Local Coherence | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0fef3b17b63f77e9 [] "[""https://github.com/lwjie595/GANLC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8992a118b5b062ab [] "[""https://github.com/CSCYQJ/MICCAI23-ProtoContra-SFDA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 68a5ca395afb2380 [] "[""https://github.com/lloongx/SFDA-CBMT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 853b57c64c7d6677 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8778995b8d0563b6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a5730c4823abff3c [] "[""https://github.com/RPIDIAL/SAMix""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Speech Audio Synthesis from Tagged MRI and Non-Negative Matrix Factorization via Plastic Transformer | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 00f1f8ccca65d0a3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spinal nerve segmentation method and dataset construction in endoscopic surgical scenarios | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 55a42b082d84b7d1 [] "[""https://github.com/zzzzzzpc/FUnet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SPR-Net: Structural Points based Registration for Coronary Arteries across Systolic and Diastolic Phases | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1088ee1c89d1d970 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +StainDiff: Transfer Stain Styles of Histology Images with Denoising Diffusion Probabilistic Models and Self-Ensemble | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e05737bb7b47f328 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients using Spatiotemporal Analysis and Transformer-Based Radiomics Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c80efa7d74d6f54c [] "[""https://github.com/rohand24/STAR_Echo""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Structured State Space Models for Multiple Instance Learning in Digital Pathology | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 05d1e379ef2a67f1 [] "[""https://github.com/MICS-Lab/s4_digital_pathology""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Structure-decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 461b3cf7ff4e49df [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +StructuRegNet: Structure-guided Multimodal 2D-3D Registration | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 639dee82130c4e96 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a8570f7c94755f67 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0080d9841d51cba1 [] "[""https://github.com/HieuPhan33/MaskGAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Style-based Manifold for Weakly-supervised Disease Characteristic Discovery | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 233f468209f7b989 [] "[""https://github.com/SiyuLiu0329/DiDiGAN-final""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SurfFlow: A Flow-Based Approach for Rapid and Accurate Cortical Surface Reconstruction from Infant Brain MRI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c4a04d633f102bf1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b01566122a23c6c8 [] "[""https://github.com/CAMMA-public/mcit-ig""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Surgical Activity Triplet Recognition via Triplet Disentanglement | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3e510675d9b65030 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Surgical Video Captioning with Mutual-Modal Concept Alignment | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7734e93ed7e9bcf6 [] "[""https://github.com/franciszchen/SCA-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0a13f21473e2dc5e [] "[""https://github.com/lalithjets/SurgicalGPT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7a89865cfb62d11e [] "[""https://github.com/UCSC-VLAA/SwinMM/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0a8529e8e8a25cfc [] "[""https://github.com/Project-MONAI/MONAI/blob/dev/monai/networks/nets/swin_unetr.py""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a925e11fee90806a [] "[""https://github.com/charzharr/miccai23-swipe-implicit-segmentation/blob/master/README.md""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 14890e919895ba01 [] "[""https://github.com/Netherlands-Cancer-Institute/CE-MRI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f83523bf93e39330 [] "[""https://github.com/MECLabTUDA/CataSynth""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synthetic Augmentation with Large-scale Unconditional Pre-training | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 dae7323c705a04f0 [] "[""https://github.com/karenyyy/HistoDiffAug""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TabAttention: Learning Attention Conditionally on Tabular Data | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0b30b689da84736d [] "[""https://github.com/SanoScience/Tab-Attention""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 fc3343aa6d57446d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7c30d4d93796eb15 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TCL: Triplet Consistent Learning for Odometry Estimation of Monocular Endoscope | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b451ca2943519bdd [] "[""https://github.com/EndoluminalSurgicalVision-IMR/TCL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 fef7477a6bcf93fc [] "[""https://github.com/dyalcink/dQC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 859170d0d049d6b3 [] "[""https://github.com/prasunc/PAWP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ea0f654ce6858963 [] "[""https://www.kaggle.com/datasets/aysendegerli/qatacov19-dataset""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Text-guided Foundation Model Adaptation for Pathological Image Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7383af5a5e584c96 [] "[""https://github.com/Yunkun-Zhang/CITE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Role of Subgroup Separability in Group-Fair Medical Image Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5212bc33d40dd0c2 [] "[""https://github.com/biomedia-mira/subgroup-separability""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4793bf5c9b0209ad [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Thyroid Nodule Diagnosis in Dynamic Contrast-enhanced Ultrasound via Microvessel Infiltration Awareness | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3c16a60c1af1439d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 464b25aa48c80fcd [] "[""https://github.com/M3DV/pulmonary-tree-repairing""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9a317afe20736d85 [] "[""https://github.com/zutsusemi/MICCAI2023-TopoLab-Labels/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Topology-Preserving Computed Tomography Super-resolution Based on Dual-stream Diffusion Model | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 db43406600290889 [] "[""https://github.com/Arturia-Pendragon-Iris/UHRCT_SR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a04bebafa92e6d1c [] "[""https://github.com/chiuhaohao/Fair-Multi-Exit-Framework/tree/master""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e76464fef4003e6a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 10de4480e509be48 [] "[""https://github.com/Kaz-K/medical-image-editing""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 65575cae0d1f3d86 [] "[""https://github.com/lemoshu/PLIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards frugal unsupervised detection of subtle abnormalities in medical imaging | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c57deb00a19be1bf [] "[""https://github.com/geoffroyO/onlineEM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1939bbd8a31dd750 [] "[""https://github.com/chehx/DGDR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a8732c4241a3ff45 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 5575528163e7e61c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TPRO: Text-prompting-based Weakly Supervised Histopathology Tissue Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 21d1dbd6c3319b7f [] "[""https://github.com/zhangst431/TPRO""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Trackerless Volume Reconstruction from Intraoperative Ultrasound Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9eb5d80ab45023e5 [] "[""https://github.com/Sidaty1/IVUS_Trakerless_Volume_Reconstruction""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tracking adaptation to improve SuperPoint for 3D reconstruction in endoscopy | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7e9cfe26768b9f7a [] "[""https://github.com/LeonBP/SuperPointTrackingAdaptation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TractCloud: Registration-free Tractography Parcellation with a Novel Local-global Streamline Point Cloud Representation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 a97209ad01f0c4e9 [] "[""https://tractcloud.github.io/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2406ac672c689f3a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transferability-Guided Multi-Source Model Adaptation for Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 54d2f3285527a00a [] "[""https://github.com/CityU-AIM-Group/TGMA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transformer-based Annotation Bias-aware Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2bc8f1b8588dacda [] "[""https://github.com/Merrical/TAB""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 25543e3c9388572d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transformer-based end-to-end classification of variable-length volumetric data | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9a8d8631b89242f0 [] "[""https://github.com/marziehoghbaie/VLFAT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transformer-based tooth segmentation identification and pulp calcification recognition in CBCT | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f9f6f3f3611e065b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TransLiver: A Hybrid Transformer Model for Multi-phase Liver Lesion Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 68ec36dc2a26da87 [] "[""https://github.com/sherrydoge/TransLiver""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 68f797a6f1f1e17c [] "[""https://github.com/zhenqi-he/transnuseg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 857ccd30927308c5 [] "[""https://github.com/Chen-Ziyang/TriD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9131c300d5cffb72 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0c103ea00f1ecca4 [] "[""https://github.com/sarayar/TriAnGIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e2d649ae1979ec15 [] "[""https://github.com/gluucose/TriDoFormer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Trust your neighbours: Penalty-based constraints for model calibration | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 995fc4e020669d99 [] "[""https://github.com/Bala93/MarginLoss""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 ca5ee9e2ad75bbde [] "[""https://github.com/huiminxiong/TSegFormer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Twelve-Lead ECG Reconstruction from Single-Lead Signals Using Generative Adversarial Networks | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3136142d804764fb [] "[""https://github.com/knu-plml/ecg-recon""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ultrasonic tracking of a rapid-exchange microcatheter with simultaneous pressure sensing for cardiovascular interventions | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 12d8028b09b0efb7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3b074ad317e23b0a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 9eec01cf83cbcca2 [] "[""https://github.com/ThisGame42/CTTA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty Inspired Autism Spectrum Disorder Screening | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 aa3e0769a06c4517 [] "[""https://saliency4asd.ls2n.fr/datasets/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2fe1ab23d2b1b354 [] "[""https://github.com/KarryRen/UML""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncovering Heterogeneity in Alzheimerâ_x0080__x0099_s Disease from Graphical Modeling of the Tau Spatiotemporal Topography | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 43ae32afa06dd1ea [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c38b058092850c45 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Understanding Silent Failures in Medical Image Classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 dd9243bbfe467f63 [] "[""https://github.com/IML-DKFZ/sf-visuals""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8ecd7e52ba3876fa [] "[""https://github.com/ReubenDo/MHVAE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unified surface and volumetric inference on functional imaging data | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 1eeecb83f990953a [] "[""https://github.com/tomfrankkirk/svb_evaluation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 28e0d0209e3c8912 [] "[""https://github.com/yeerwen/UniSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unpaired Cross-modal Interaction Learning for COVID-19 Segmentation on Limited CT images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 09b6de9c21dc6d72 [] "[""https://github.com/GQBBBB/UCI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised 3D out-of-distribution detection with latent diffusion models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e9e9b5d5d99ef842 [] "[""https://github.com/marksgraham/ddpm-ood""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised 3D registration through optimization-guided cyclical self-training | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 cecc25d14ed7727d [] "[""https://github.com/multimodallearning/reg-cyclical-self-train""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised classification of congenital inner ear malformations using DeepDiffusion for latent space representation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4081b2869f4e299c [] "[""https://github.com/paulalopez10/Deep-Diffusion-Unsupervised-Classification-3D-Mesh""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 b8d3cfe48ca314dd [] "[""https://github.com/uncbiag/diffusion-3D-discovery""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Domain Adaptation for Anatomical Landmark Detection | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 223e1df68df8af09 [] "[""https://github.com/jhb86253817/UDA_Med_Landmark""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Domain Transfer with Conditional Invertible Neural Networks | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 356dbaaa1d22965c [] "[""https://github.com/IMSY-DKFZ/UDT-cINN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 7e2e4f40994a11fc [] "[""https://www.nature.com/articles/srep08601""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UOD: Universal One-shot Detection of Anatomical Landmarks | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8a47083294914a2f [] "[""https://github.com/heqin-zhu/UOD_universal_oneshot_detection""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e3eb0a495648741a [] "[""https://github.com/VivienLu/UPCoL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4fb5a68d04d0a22a [] "[""https://github.com/CelestialShine/Longitudinal-Chest-X-Ray""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GAN | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 76cbf43fe804da31 [] "[""https://github.com/Tinysqua/UWAT-GAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UXDiff: Synthesis of X-ray Image from Ultrasound Coronal Image of Spine with Diffusion Probabilistic Network | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0ddfe111a134eda4 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vertex Correspondence in Cortical Surface Reconstruction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 458a420253f349ed [] "[""https://github.com/ai-med/V2CC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6831770a76e7158f [] "[""https://github.com/LIA-DiTella/VesselVAE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +VF-HM: Vision Loss Estimation using Fundus Photograph for High Myopia | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 27e21bfb4ff55a10 [] "[""https://github.com/yanzipei/VF-HM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Virtual Heart models help elucidate the role of border zone in sustained monomorphic Ventricular Tachycardia | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 46f52b648e457073 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 105fe1c6e6ae6a24 [] "[""https://github.com/sharif-ml-lab/visa-fss""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vision Transformer based Multi-Class Lesion Detection in IVOCT | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0ec5baf187f33985 [] "[""https://github.com/Shao1Fan/G-Swin-Transformer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Visual Grounding of Whole Radiology Reports for 3D CT Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 83c4be8fc7cc9cf6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 036c0734864fb2c1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 fb38b0e301ad9ada [] "[""https://github.com/mishgon/vox2vec""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Wall thickness estimation from short axis ultrasound images via temporal compatible deformation learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 e5fbacd9f06b02a1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +WarpEM: Dynamic Time Warping for Accurate Catheter Registration in EM-guided Procedures | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 aa8ee2a73a3afbd9 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Wasserstein Distance-Preserving Vector Space of Persistent Homology | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 c46c8103e9d3cf97 [] "[""https://github.com/topolearn""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 dff647cd1879c27c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 f220df1db9b2c480 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Medical Image Segmentation via Superpixel-guided Scribble Walking and Class-wise Contrastive Regularization | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 217e20044480f98c [] "[""https://github.com/Lemonzhoumeng/SC-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly-supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 62b6f74fa2af9757 [] "[""https://github.com/rohban-lab/Drug-Efficiency-Estimation-with-Confidence-Score""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly-supervised positional contrastive learning: application to cirrhosis classification | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 edf87518ccd6c23a [] "[""https://github.com/Guerbet-AI/wsp-contrastive""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +WeakPolyp: You Only Look Bounding Box for Polyp Segmentation | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 0af64adc8c8cc9af [] "[""https://github.com/weijun88/WeakPolyp""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 d184316baa2307da [] "[""https://github.com/ci-ber/MorphAEus""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Whole-Heart Reconstruction with Explicit Topology Integrated Learning | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 420ce32c02ae6cd3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +X2Vision : 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 64194accdffb28ca [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 8949b276b9eb7774 [] "[""https://github.com/ChantalMP/Xplainer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +X-Ray to CT Rigid Registration Using Scene Coordinate Regression | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 6e70378d09979d4f [] "[""https://github.com/Pragyanstha/SCR-Registration""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 3ba807605c3bfe9e [] "[""https://github.com/GewelsJI/VPS/tree/main#3-vps-dataset""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +You Donâ_x0080__x0099_t Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 2712c08146fc87a1 [] "[""https://github.com/ayanglab/MedSynAnalyzer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Youâ_x0080__x0099_ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 4b6271c07f2e7958 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Zero-shot Nuclei Detection via Visual-Language Pre-trained Models | MICCAI 2023 - Accepted Papers Reviews Author Feedback MICCAI 2023 acff0a8f824f76a2 [] "[""https://github.com/wuyongjianCODE/VLPMNuD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D Spine Shape Estimation from Single 2D DXA | MICCAI 2024 - Open Access MICCAI 2024 59d8647b9aa6f59e [] "[""https://github.com/EmmanuelleB985/DXA-to-3D""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D Vessel Graph Generation Using Denoising Diffusion | MICCAI 2024 - Open Access MICCAI 2024 312643dcb0df6a98 [] "[""https://github.com/chinmay5/vessel_diffuse""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation | MICCAI 2024 - Open Access MICCAI 2024 6e43562caba317c2 [] "[""https://github.com/Kayaba-Akihiko/3DDX""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3DGPS: A 3D Differentiable-Gaussian-based Planning Strategy for Liver Tumor Cryoablation | MICCAI 2024 - Open Access MICCAI 2024 74aeb11b3d0029dd [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation | MICCAI 2024 - Open Access MICCAI 2024 6f224280a42fa01b [] "[""https://github.com/windrise/3DGR-CAR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks | MICCAI 2024 - Open Access MICCAI 2024 409a353883e09659 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective | MICCAI 2024 - Open Access MICCAI 2024 5ec831335c25657f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +7T MRI Synthesization from 3T Acquisitions | MICCAI 2024 - Open Access MICCAI 2024 6134eb3ffe8f213b [] "[""https://github.com/abbasilab/Synthetic_7T_MRI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Bayesian Approach to Weakly-supervised Laparoscopic Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 be09e48e27a0e4a5 [] "[""https://github.com/MoriLabNU/Bayesian_WSS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Clinical-oriented Lightweight Network for High-resolution Medical Image Enhancement | MICCAI 2024 - Open Access MICCAI 2024 6ae5b1d6a2b73404 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images | MICCAI 2024 - Open Access MICCAI 2024 c8cd91b82f4e5747 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation | MICCAI 2024 - Open Access MICCAI 2024 0a4b0801f585487c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors | MICCAI 2024 - Open Access MICCAI 2024 88ee20b899c3109b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Domain Adaption Approach for EEG-based Automated Seizure Classification with Temporal-Spatial-Spectral Attention | MICCAI 2024 - Open Access MICCAI 2024 570f21cdd74506d9 [] "[""https://github.com/Dondlut/EEG_DOMAIN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts | MICCAI 2024 - Open Access MICCAI 2024 d6de2fe063d39793 [] "[""https://github.com/ZhangxinruBIT/MoME""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A framework for assessing joint human-AI systems based on uncertainty estimation | MICCAI 2024 - Open Access MICCAI 2024 7a907f2d07d2bb0b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimerâ_x0080__x0099_s Disease Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 fbc749abafd5478d [] "[""https://github.com/Ouzaixin/Graph-SLC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images | MICCAI 2024 - Open Access MICCAI 2024 55875cb6b48a4caa [] "[""https://github.com/zaidilyas89/Hybrid-FPN-AACNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement | MICCAI 2024 - Open Access MICCAI 2024 256811e7a6f8fa5c [] "[""https://github.com/iMED-Lab/MUSEnet-Pytorch""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability | MICCAI 2024 - Open Access MICCAI 2024 b988ce803c60ad2c [] "[""https://github.com/intelligentMachines-ITU/Blood-Cancer-Dataset""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis | MICCAI 2024 - Open Access MICCAI 2024 d1790b84e4456539 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A New Benchmark In Vivo Paired Dataset for Laparoscopic Image De-smoking | MICCAI 2024 - Open Access MICCAI 2024 32570bad9ec792f5 [] "[""https://github.com/wxia43/DesmokeData""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis | MICCAI 2024 - Open Access MICCAI 2024 bb3629989bbcc855 [] "[""https://github.com/MinghaoSam/SwallowingFunctionAnalysis""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos | MICCAI 2024 - Open Access MICCAI 2024 d5c4a907b8df0d89 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A New Non-Invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney | MICCAI 2024 - Open Access MICCAI 2024 ab4eaf57563ad98b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A New Perspective to Boost Performance Fairness For Medical Federated Learning | MICCAI 2024 - Open Access MICCAI 2024 10178d9e0a7faf8e [] "[""https://github.com/IAMJackYan/Fed-LWR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 712875904eb49acf [] "[""https://github.com/11yxk/AHGNN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features | MICCAI 2024 - Open Access MICCAI 2024 d04d5616411ecbe0 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot | MICCAI 2024 - Open Access MICCAI 2024 d758dfd94cee415e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Refer-and-Ground Multimodal Large Language Model for Biomedicine | MICCAI 2024 - Open Access MICCAI 2024 fcd576d82372a1a7 [] "[""https://github.com/ShawnHuang497/BiRD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Region-Based Approach to Diabetic Retinopathy Classification with Superpixel Tokenization | MICCAI 2024 - Open Access MICCAI 2024 be886eaefce7e155 [] "[""https://github.com/ClementPla/RetinalViT/tree/prototype_superpixels""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method | MICCAI 2024 - Open Access MICCAI 2024 da70ac77ef541d19 [] "[""https://drive.google.com/drive/folders/1wzoCppWgUhM_9pN1kVrhmHycc8MYEj06""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A task-conditional mixture-of-experts model for missing modality segmentation | MICCAI 2024 - Open Access MICCAI 2024 d7f4d7073d20549b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness | MICCAI 2024 - Open Access MICCAI 2024 8f6b3a8e84139af2 [] "[""https://github.com/uncbiag/UniLMMV""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Universal and Flexible Framework for Unsupervised Statistical Shape Model Learning | MICCAI 2024 - Open Access MICCAI 2024 678c385a8db011f6 [] "[""https://github.com/NafieAmrani/FUSS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages | MICCAI 2024 - Open Access MICCAI 2024 287fab3279113674 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Weakly-supervised Multi-lesion Segmentation Framework Based on Target-level Incomplete Annotations | MICCAI 2024 - Open Access MICCAI 2024 eb13be258b9a88f0 [] "[""https://github.com/HeyJGJu/CD_TIA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ABP: Asymmetric Bilateral Prompting for Text-guided Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 3546c024e97e8315 [] "[""https://www.kaggle.com/datasets/aysendegerli/qatacov19-dataset""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning | MICCAI 2024 - Open Access MICCAI 2024 1da8bfe5d7ab1d7f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 b93398e200317e18 [] "[""https://github.com/Kqp1227/Sensitive-Channel-Pruning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ACLNet: A Deep Learning Model for ACL Rupture Classification Combined with Bone Morphology | MICCAI 2024 - Open Access MICCAI 2024 0300f97defba31d6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AcneAI: A new acne severity assessment method using digital images and deep learning | MICCAI 2024 - Open Access MICCAI 2024 6f33aae950b908a4 [] "[""https://github.com/AIpourlapeau/acne04v2""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding | MICCAI 2024 - Open Access MICCAI 2024 53f7b838edd76332 [] "[""https://github.com/man-shu/ensemble-fmri""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise | MICCAI 2024 - Open Access MICCAI 2024 dab6065e58afb891 [] "[""https://github.com/Bidur-Khanal/imbalanced-medical-active-label-cleaning.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 9d2a900487d47e9c [] "[""https://github.com/AIML-MED/AdaCBM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adapting Pre-trained Generative Model to Medical Image for Data Augmentation | MICCAI 2024 - Open Access MICCAI 2024 f32ef2528737a488 [] "[""https://github.com/YuanZhouhang/VQ-MAGE-Med""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification | MICCAI 2024 - Open Access MICCAI 2024 9f24b5198688da82 [] "[""https://github.com/HelenMa9998/Easy_hard_AL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 138017772a7daa06 [] "[""https://github.com/koushik313/ASAU""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Subtype and Stage Inference for Alzheimerâ_x0080__x0099_s Disease | MICCAI 2024 - Open Access MICCAI 2024 df6ca86cb9679f12 [] "[""https://github.com/x5wang/Adaptive-Subtype-and-Stage-Inference""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning | MICCAI 2024 - Open Access MICCAI 2024 cde796150aba8474 [] "[""https://github.com/Hrychen7/PSPD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring | MICCAI 2024 - Open Access MICCAI 2024 b516a6129c20b39f [] "[""https://github.com/balball/TDKstain""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advancing Sensorless Freehand 3D Ultrasound Reconstruction with a Novel Coupling Pad | MICCAI 2024 - Open Access MICCAI 2024 d1bf301666cf3407 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning | MICCAI 2024 - Open Access MICCAI 2024 9a302ee54cad6683 [] "[""https://github.com/MICV-yonsei/CXRL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset | MICCAI 2024 - Open Access MICCAI 2024 70da5336420fea2b [] "[""https://github.com/whq-xxh/SFADA-UWF-SLO""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adversarial Diffusion Model for Domain-Adaptive Depth Estimation in Bronchoscopic Navigation | MICCAI 2024 - Open Access MICCAI 2024 452250644ef83ec0 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Affinity Learning Based Brain Function Representation for Disease Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 eaef63033e88e4f6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Airway segmentation based on topological structure enhancement using multi-task learning | MICCAI 2024 - Open Access MICCAI 2024 a636fe2ecea75b3b [] "[""https://github.com/xyang-11/airway_seg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Algebraic Sphere Surface Fitting for Accurate and Efficient Mesh Reconstruction from Cine CMR Images | MICCAI 2024 - Open Access MICCAI 2024 31eb7df097789856 [] "[""https://github.com/hejin9/algebraic-sphere-surface-fitting""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias | MICCAI 2024 - Open Access MICCAI 2024 5ade368e86bceb2d [] "[""https://github.com/fa-submit/Submission_M""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Aligning and Restoring Imperfect ssEM images for Continuity Reconstruction | MICCAI 2024 - Open Access MICCAI 2024 3623fa75d4ceed7e [] "[""https://github.com/lvyanan525/Aligning-and-Restoring-Imperfect-ssEM-images""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification | MICCAI 2024 - Open Access MICCAI 2024 6ca7fd634f5e50c1 [] "[""https://github.com/yhygao/Explicd""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Aligning Medical Images with General Knowledge from Large Language Models | MICCAI 2024 - Open Access MICCAI 2024 ae5f31b88271fe4b [] "[""https://github.com/xiaofang007/ViP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +All-In-One Medical Image Restoration via Task-Adaptive Routing | MICCAI 2024 - Open Access MICCAI 2024 890a2b54ef752651 [] "[""https://github.com/Yaziwel/All-In-One-Medical-Image-Restoration-via-Task-Adaptive-Routing.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AMONuSeg: A Histological Dataset for African Multi-Organ Nuclei Semantic Segmentation | MICCAI 2024 - Open Access MICCAI 2024 f550fcbca2052543 [] "[""https://github.com/zerouaoui/AMONUSEG""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An approach to building foundation models for brain image analysis | MICCAI 2024 - Open Access MICCAI 2024 68d39a780aa83f9b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 4bf7dde8c11d83c6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Evaluation of State-of-the-Art Projectors in the Presence of Noise and Nonlinearity in the Beer-Lambert Law | MICCAI 2024 - Open Access MICCAI 2024 cda04d78267fd0ca [] "[""https://github.com/ShiyuXie0116/Evaluation-of-Projectors-Noise-Nonlinearity""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons | MICCAI 2024 - Open Access MICCAI 2024 add7492b68787551 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis | MICCAI 2024 - Open Access MICCAI 2024 8f91b9b77a403a8f [] "[""https://github.com/xmed-lab/GeCA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation | MICCAI 2024 - Open Access MICCAI 2024 9679bd86b26d9af4 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Analyzing Adjacent B-Scans to Localize Sickle Cell Retinopathy In OCTs | MICCAI 2024 - Open Access MICCAI 2024 5152091bbf2a572f [] "[""https://github.com/VimsLab/CSAT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation | MICCAI 2024 - Open Access MICCAI 2024 174ddd5328d51de7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anatomical Positional Embeddings | MICCAI 2024 - Open Access MICCAI 2024 5f45ea3b9dd89910 [] "[""https://github.com/mishgon/ape""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anatomical Structure-Guided Medical Vision-Language Pre-training | MICCAI 2024 - Open Access MICCAI 2024 42939154b9fd2b55 [] "[""https://github.com/ASGMVLP/ASGMVLP_CODE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models | MICCAI 2024 - Open Access MICCAI 2024 2050c55212fc04ca [] "[""https://github.com/mazurowski-lab/segmentation-guided-diffusion""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-weighted and T2*-weighted MRI | MICCAI 2024 - Open Access MICCAI 2024 197fbcd803819c59 [] "[""https://github.com/junmokwon/AnatGuidedCMBSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anatomic-constrained Medical Image Synthesis via Physiological Density Sampling | MICCAI 2024 - Open Access MICCAI 2024 343db6201e6f1515 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anatomy-Aware Gating Network for Explainable Alzheimerâ_x0080__x0099_s Disease Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 a8b5ee127bb78caa [] "[""https://github.com/hongcha0/aagn""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anatomy-guided Pathology Segmentation | MICCAI 2024 - Open Access MICCAI 2024 1a4f64670d171fcd [] "[""https://github.com/alexanderjaus/APEx""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy | MICCAI 2024 - 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Open Access MICCAI 2024 2e5f5d502553c820 [] "[""https://github.com/rajankita/QueryWise""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment | MICCAI 2024 - Open Access MICCAI 2024 9d1112d19c6b09c5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Robust Muscle Segmentation in Multi-level Contexts using a Probabilistic Inference Framework | MICCAI 2024 - Open Access MICCAI 2024 e41730e315a37d68 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Spinal MRI Labelling from Reports Using a Large Language Model | MICCAI 2024 - Open Access MICCAI 2024 afdd8087b7d2b021 [] "[""https://github.com/robinyjpark/AutoLabelClassifier""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Mandibular Semantic Segmentation of Teeth Pulp Cavity and Root Canals and Inferior Alveolar Nerve on Pulpy3D Dataset | MICCAI 2024 - Open Access MICCAI 2024 022be486aba1a70b [] "[""https://github.com/mahmoudgamal0/Pulpy3D""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AutoSkull: Learning-based Skull Estimation for Automated Pipelines | MICCAI 2024 - Open Access MICCAI 2024 d5badae0e9a43eaf [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping | MICCAI 2024 - Open Access MICCAI 2024 da385ac51dad7784 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 3cefe3569c5b5fee [] "[""https://github.com/cai4cai/ACE-DLIRIS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision | MICCAI 2024 - Open Access MICCAI 2024 c02a2fd729c8498d [] "[""https://github.com/kitbransby/BackMix""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models | MICCAI 2024 - Open Access MICCAI 2024 f0adb29de3f1eb5b [] "[""https://github.com/scelesticsiva/denoising""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning | MICCAI 2024 - Open Access MICCAI 2024 82fd6a65f6f5aeab [] "[""https://github.com/asif-hanif/baple""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image | MICCAI 2024 - Open Access MICCAI 2024 4c69b27d2a2e5eb7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting | MICCAI 2024 - Open Access MICCAI 2024 9b1530112f186713 [] "[""https://github.com/xianlin7/SAMUS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BGDiffSeg: a Fast Diffusion Model for Skin Lesion Segmentation via Boundary Enhancement and Global Recognition Guidance | MICCAI 2024 - Open Access MICCAI 2024 c2d1e6ac9459efe7 [] "[""https://github.com/erlingzz/BGDiffSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection | MICCAI 2024 - Open Access MICCAI 2024 80b5d3fa48a3f1a9 [] "[""https://github.com/mkang315/BGF-YOLO""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BiasPruner: Debiased Continual Learning for Medical Image Classification | MICCAI 2024 - Open Access MICCAI 2024 5bae3e12d3f6c5fa [] "[""https://github.com/nourhanb/BiasPruner""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval | MICCAI 2024 - Open Access MICCAI 2024 f3ac591ef565e5fe [] "[""https://huggingface.co/datasets/cyd0806/BIMCV-R""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection | MICCAI 2024 - Open Access MICCAI 2024 cdfad35fc9359d3d [] "[""https://github.com/JuliaWolleb/Anomaly_berdiff""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity | MICCAI 2024 - Open Access MICCAI 2024 20bc7a59981e96b0 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation | MICCAI 2024 - Open Access MICCAI 2024 1a9dedbba46a54e5 [] "[""https://github.com/uceclz0/biophy_brats""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Biophysics-based data assimilation of longitudinal tau and amyloid-β PET scans | MICCAI 2024 - Open Access MICCAI 2024 ae5bb0722753cfd1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Black-Box Adaptation for Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 09b806ec422401b3 [] "[""https://github.com/JayParanjape/Blackbox""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI | MICCAI 2024 - Open Access MICCAI 2024 795117b9574de7ab [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model | MICCAI 2024 - Open Access MICCAI 2024 6a68b19c81b983e4 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BPaCo: Balanced Parametric Contrastive Learning for Long-tailed Medical Image Classification | MICCAI 2024 - Open Access MICCAI 2024 507ddf4662beca36 [] "[""https://github.com/Davidczy/BPaCo""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution | MICCAI 2024 - Open Access MICCAI 2024 1edd9745cd2dcbbf [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders | MICCAI 2024 - Open Access MICCAI 2024 db5874636f7ffec0 [] "[""https://github.com/openmedlab/BrainSCK""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma | MICCAI 2024 - Open Access MICCAI 2024 4ddc65ad79892e22 [] "[""https://github.com/MIAGroupUT/Brain-Shift""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BrainWaveNet: Wavelet-based Transformer for Autism Spectrum Disorder Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 c57db5d5dfead10c [] "[""https://github.com/ku-milab/BrainWaveNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 42503a770c17aa00 [] "[""https://github.com/lixiang007666/STTA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound? | MICCAI 2024 - Open Access MICCAI 2024 e0f2b4db2668c13d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Can LLMsâ_x0080__x0099_ Tuning Methods Work in Medical Multimodal Domain? | MICCAI 2024 - Open Access MICCAI 2024 c203ca00ae7371ca [] "[""https://github.com/TIMMY-CHAN/MILE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging | MICCAI 2024 - Open Access MICCAI 2024 d9064f33b719e8b4 [] "[""https://github.com/pnu-amilab/CAPTURE-GAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation through Disconnected Components Repair and Open Curve Snake | MICCAI 2024 - Open Access MICCAI 2024 fd7266fb197e446b [] "[""https://github.com/YuliWanghust/CTA_repairment""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model | MICCAI 2024 - Open Access MICCAI 2024 50b94f123ecba8d5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cardiac Physiology Knowledge-driven Diffusion Model for Contrast-free Synthesis Myocardial Infarction Enhancement | MICCAI 2024 - Open Access MICCAI 2024 c8a9aed1b5125b96 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights | MICCAI 2024 - Open Access MICCAI 2024 4a854a099c3fe1fa [] "[""https://github.com/shaharzuler/CardioSpectrum""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba | MICCAI 2024 - Open Access MICCAI 2024 54cefe997ff36b6d [] "[""https://github.com/RPIDIAL/BI-Mamba""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities | MICCAI 2024 - Open Access MICCAI 2024 492e9d9851815a3f [] "[""https://github.com/bhattarailab/CAR-MFL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Causal Intervention for Brain tumor Segmentation | MICCAI 2024 - Open Access MICCAI 2024 25940a1b75a6887c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CausalCLIPSeg: Unlocking CLIPâ_x0080__x0099_s Potential in Referring Medical Image Segmentation with Causal Intervention | MICCAI 2024 - Open Access MICCAI 2024 6a57952aee05d975 [] "[""https://github.com/WUTCM-Lab/CausalCLIPSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Causality-Informed Fusion Network for Automated Assessment of Parkinsonian Body Bradykinesia | MICCAI 2024 - Open Access MICCAI 2024 88f8f6adab711a32 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment | MICCAI 2024 - Open Access MICCAI 2024 9fc74a84504824c5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis | MICCAI 2024 - Open Access MICCAI 2024 fe60be44c1dfc007 [] "[""https://github.com/Luc4Gui/CAVM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs | MICCAI 2024 - Open Access MICCAI 2024 55e7e746623d8402 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Centerline Boundary Dice Loss for Vascular Segmentation | MICCAI 2024 - Open Access MICCAI 2024 6868e7d4b0121708 [] "[""https://github.com/PengchengShi1220/cbDice""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Centerline-Diameters Data Structure for Interactive Segmentation of Tube-shaped Objects | MICCAI 2024 - Open Access MICCAI 2024 2b775609a70c0178 [] "[""https://www.kaggle.com/c/ranzcr-clip-catheter-line-classification""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Center-to-Edge Denoising Diffusion Probabilistic Models with Cross-domain Attention for Undersampled MRI Reconstruction | MICCAI 2024 - Open Access MICCAI 2024 83d35dfb7053c806 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cephalometric Landmark Detection across Ages with Prototypical Network | MICCAI 2024 - Open Access MICCAI 2024 511e09665e27578e [] "[""https://github.com/ShanghaiTech-IMPACT/CeLDA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function | MICCAI 2024 - Open Access MICCAI 2024 3635955b0f038b58 [] "[""https://gitlab.com/acarrera4/cardiac_functoin_analysis/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs | MICCAI 2024 - Open Access MICCAI 2024 a7b9c6461ec31c6a [] "[""https://github.com/cvit-mip/chextriev""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains | MICCAI 2024 - Open Access MICCAI 2024 3d149443dd9aa671 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Class and Region-Adaptive Constraints for Network Calibration | MICCAI 2024 - Open Access MICCAI 2024 26abac08a2486b7e [] "[""https://github.com/Bala93/CRac/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Class-aware Mutual Mixup with Triple Alignments for Semi-Supervised Cross-domain Segmentation | MICCAI 2024 - Open Access MICCAI 2024 dad89d24e906208c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling | MICCAI 2024 - Open Access MICCAI 2024 94bb1609d932613a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning | MICCAI 2024 - Open Access MICCAI 2024 be3b2bd23c3b7437 [] "[""https://github.com/XYPB/CLEFT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model | MICCAI 2024 - Open Access MICCAI 2024 317f3b354823dcb5 [] "[""https://github.com/hvcl/Clinical-grade-Pathology-Report-Generation/tree/main""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting | MICCAI 2024 - Open Access MICCAI 2024 117f59bb35351c6a [] "[""https://github.com/Qinkaiyu/CLIP-DR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from non-contrast Cardiac Magnetic Resonance | MICCAI 2024 - Open Access MICCAI 2024 5848f3e94762197c [] "[""https://github.com/code-koukai/MVO-identification""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images | MICCAI 2024 - Open Access MICCAI 2024 a02cb6ca9f32aa8f [] "[""https://github.com/ZhangYH0502/C2F-LDM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CoBooM: Codebook Guided Bootstrapping for Medical Image Representation Learning | MICCAI 2024 - Open Access MICCAI 2024 c8fd33c189d2ad8f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia | MICCAI 2024 - Open Access MICCAI 2024 2dcfd1d349dcdaaf [] "[""https://github.com/G-peppa/TGCAM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting | MICCAI 2024 - Open Access MICCAI 2024 fcba36f050dea061 [] "[""https://github.com/jingyzhang/CGR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 3f677f9e887b60b5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional 4D Motion Diffusion Models with Masked Observations to Forecast Deformations | MICCAI 2024 - Open Access MICCAI 2024 1b7453aaff368038 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional Diffusion Model for Versatile Temporal Inpainting in 4D Cerebral CT Perfusion Imaging | MICCAI 2024 - Open Access MICCAI 2024 94832874a824651a [] "[""https://github.com/baejustin/CTP_Inpainting_Diffusion""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional diffusion model with spatial attention and latent embedding for medical image segmentation | MICCAI 2024 - Open Access MICCAI 2024 3f77306d3728953b [] "[""https://github.com/Hejrati/cDAL/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction | MICCAI 2024 - Open Access MICCAI 2024 2d857125a5eb00fe [] "[""https://github.com/siyeopyoon/Diffusion-Cortical-Thickness-Trajectory""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Confidence intervals uncovered: Are we ready for real-world medical imaging AI? | MICCAI 2024 - Open Access MICCAI 2024 a3c080e276216084 [] "[""https://github.com/IMSY-DKFZ/CI_uncovered""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation | MICCAI 2024 - Open Access MICCAI 2024 8eb043cda5135eaf [] "[""https://github.com/philsaurabh/UDCD_MICCAI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Confidence-guided Semi-supervised Learning for Generalized Lesion Localization in X-ray Images | MICCAI 2024 - Open Access MICCAI 2024 80290631258ca411 [] "[""https://github.com/aj-das-research/AnoMed""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Consecutive-Contrastive Spherical U-net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-duration fMRI Scans | MICCAI 2024 - Open Access MICCAI 2024 999d54223d5c5091 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Context-guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data | MICCAI 2024 - Open Access MICCAI 2024 7aae7ed88eb02414 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Continual Domain Incremental Learning for Privacy-aware Digital Pathology | MICCAI 2024 - Open Access MICCAI 2024 6e9252995344de22 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation | MICCAI 2024 - Open Access MICCAI 2024 255f5368da588c3b [] "[""https://physionet.org/content/mimic-cxr/2.0.0/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis | MICCAI 2024 - Open Access MICCAI 2024 8f618cd17580aeaf [] "[""https://github.com/xionghonglin/CRL_MICCAI_2024""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models | MICCAI 2024 - Open Access MICCAI 2024 48133721a4510955 [] "[""https://github.com/hvcl/ConNucDA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Controllable Counterfactual Generation for Interpretable Medical Image Classification | MICCAI 2024 - Open Access MICCAI 2024 08e9c52a4fbe5c2e [] "[""https://github.com/ladderlab-xjtu/ControlCG""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Convex Segments for Convex Objects using DNN Boundary Tracing and Graduated Optimization | MICCAI 2024 - Open Access MICCAI 2024 91013cd060f6e21b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Convolutional Implicit Neural Representation of pathology whole-slide images | MICCAI 2024 - Open Access MICCAI 2024 8df8aa03c03c1d28 [] "[""https://github.com/pnu-amilab/CINR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis | MICCAI 2024 - Open Access MICCAI 2024 4c3c41018f5f0c87 [] "[""https://github.com/BioMedIA-MBZUAI/CoReEcho""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 0ddce57b8c8767cb [] "[""https://github.com/shukangzh/CAMVF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning | MICCAI 2024 - Open Access MICCAI 2024 d128324a92ec436c [] "[""https://github.com/SCUT-Xinlab/CSR-from-2D-MRI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +COVID19 to Pneumonia: Multi Region Lung Severity Classification using CNN Transformer Position-Aware Feature Encoding Network | MICCAI 2024 - Open Access MICCAI 2024 21d5e712aa7d4085 [] "[""https://github.com/blind4635/Multi-Region-Lung-Severity-PAFE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis | MICCAI 2024 - Open Access MICCAI 2024 a9ed75c503320d6f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation | MICCAI 2024 - Open Access MICCAI 2024 8d73fde53ab633a5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 e52afeef59b90462 [] "[""https://github.com/JuzhengMiao/CPC-SAM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-conditioned Diffusion Model for Medical Image to Image Translation | MICCAI 2024 - Open Access MICCAI 2024 0eba55ba7b9f4da1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation | MICCAI 2024 - Open Access MICCAI 2024 4296d9fd6eabf6b1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-graph Interaction and Diffusion Probability Models for Lung Nodule Segmentation | MICCAI 2024 - Open Access MICCAI 2024 8b7a31c3f339fc99 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics | MICCAI 2024 - Open Access MICCAI 2024 d3c801fba5ab5671 [] "[""https://github.com/XiaofeiWang2018/Diffusion-ST""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features | MICCAI 2024 - Open Access MICCAI 2024 8c224811ee352017 [] "[""https://github.com/Yukui-1999/ECCL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans | MICCAI 2024 - Open Access MICCAI 2024 687b88ae692c27c6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection | MICCAI 2024 - Open Access MICCAI 2024 b873105497d2e287 [] "[""https://github.com/aL3x-O-o-Hung/GLCSA_ECLoss""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CryoSAM: Training-free CryoET Tomogram Segmentation with Foundation Models | MICCAI 2024 - Open Access MICCAI 2024 2ecd9ffbe53d4e9d [] "[""https://github.com/xulabs/aitom""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cryotrack: Planning and Navigation for Computer Assisted Cryoablation | MICCAI 2024 - Open Access MICCAI 2024 672e5f0d16721a27 [] "[""https://github.com/Cryotrack""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CS3: Cascade SAM for Sperm Segmentation | MICCAI 2024 - Open Access MICCAI 2024 f538f624f0387a21 [] "[""https://github.com/shiy19/CS3""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging | MICCAI 2024 - Open Access MICCAI 2024 5890129e2b6d00ac [] "[""https://github.com/ibrahimethemhamamci/CT2Rep""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CT-based brain ventricle segmentation via diffusion SchroÌ_x0088_dinger Bridge without target domain ground truths | MICCAI 2024 - Open Access MICCAI 2024 398e5f62be50bbe6 [] "[""https://github.com/HealthX-Lab/DiffusionSynCTSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Curriculum Prompting Foundation Models for Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 2a46009fdb1ed4be [] "[""https://github.com/AnnaZzz-zxq/Curriculum-Prompting""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Customized Relationship Graph Neural Network for Brain Disorder Identification | MICCAI 2024 - Open Access MICCAI 2024 1ae22a8197e3b8fc [] "[""https://github.com/NJUSTxiazw/CRGNN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets | MICCAI 2024 - Open Access MICCAI 2024 16d18f340685ae9b [] "[""https://github.com/Rebooorn/mosDAtoolkit""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 ae13cfd27c144feb [] "[""https://github.com/KrishnaswamyLab/CUTS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cycle-consistent Learning for Fetal Cortical Surface Reconstruction | MICCAI 2024 - Open Access MICCAI 2024 c75b0fb94dcf7680 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition | MICCAI 2024 - Open Access MICCAI 2024 eef981f98f575352 [] "[""https://github.com/ainieli/EEA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset | MICCAI 2024 - Open Access MICCAI 2024 efe878cfaea9ed3f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration | MICCAI 2024 - Open Access MICCAI 2024 74007c1845d000df [] "[""https://github.com/compai-lab/2024-miccai-reithmeir""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DB-SAM: Delving into High Quality Universal Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 c3c4fcd203119fb2 [] "[""https://github.com/AlfredQin/DB-SAM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction | MICCAI 2024 - Open Access MICCAI 2024 dac03c5db2b49825 [] "[""https://nihcc.app.box.com/v/DeepLesion/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks | MICCAI 2024 - Open Access MICCAI 2024 5ac9c0a8067a0f72 [] "[""https://github.com/Fighting-HHY/D-CoRP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DCrownFormer: Morphology-aware Point-to-Mesh Generation Transformer for Dental Crown Prosthesis from 3D Scan Data of Antagonist and Preparation Teeth | MICCAI 2024 - Open Access MICCAI 2024 179506ea46db40f6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions | MICCAI 2024 - Open Access MICCAI 2024 4a88cec321888dea [] "[""https://git5.cs.fau.de/rajput/death-by-retrospective-undersampling""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Debiased Noise Editing on Foundation Models for Fair Medical Image Classification | MICCAI 2024 - Open Access MICCAI 2024 959e7bb3ab96f0e7 [] "[""https://github.com/ubc-tea/DNE-foundation-model-fairness""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Decoding the visual attention of pathologists to reveal their level of expertise | MICCAI 2024 - Open Access MICCAI 2024 2d3ef0df2a40d4c5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning | MICCAI 2024 - Open Access MICCAI 2024 c2bc0c9f0eef1740 [] "[""https://github.com/thesupermanreturns/decoupled""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep intra-operative illumination calibration of hyperspectral cameras | MICCAI 2024 - Open Access MICCAI 2024 11618a4b73c1b8f8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding | MICCAI 2024 - Open Access MICCAI 2024 97964e58e0880089 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Model Reference: Simple yet Effective Confidence Estimation for Image Classification | MICCAI 2024 - Open Access MICCAI 2024 889658da11f19ffb [] "[""https://openi.pcl.ac.cn/OpenMedIA/MICCAI2024_DMR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation | MICCAI 2024 - Open Access MICCAI 2024 515e750ba5a21095 [] "[""https://github.com/alexaatm/UnsupervisedSegmentor4Ultrasound""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Volume Reconstruction from Multi-focus Microscopic Images | MICCAI 2024 - Open Access MICCAI 2024 e73f409bfc191687 [] "[""https://github.com/caiocj1/multifocus-3d-reconstruction""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep-learning-based groupwise registration for motion correction of cardiac T1 mapping | MICCAI 2024 - Open Access MICCAI 2024 9b1080371d299afb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepRepViz: Identifying potential confounders in deep learning model predictions | MICCAI 2024 - Open Access MICCAI 2024 18b39e104e549b73 [] "[""https://github.com/ritterlab/DeepRepViz""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting | MICCAI 2024 - Open Access MICCAI 2024 59ddd4b4d255600e [] "[""https://github.com/jinlab-imvr/Deform3DGS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning | MICCAI 2024 - Open Access MICCAI 2024 07ed9171c0f2a285 [] "[""https://github.com/SunYJ-hxppy/Multi-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deform-Mamba Network for MRI Super-Resolution | MICCAI 2024 - Open Access MICCAI 2024 0a972f8224929a1b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Depth-Aware Endoscopic Video Inpainting | MICCAI 2024 - Open Access MICCAI 2024 fb731276f8452224 [] "[""https://github.com/FrancisXZhang/DAEVI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection | MICCAI 2024 - Open Access MICCAI 2024 f1dad70c137b6a7b [] "[""https://github.com/PJLallen/D2GPLand""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology | MICCAI 2024 - Open Access MICCAI 2024 777e4b731d132370 [] "[""https://github.com/velvinnn/DermaVQA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 8226bb57125876b6 [] "[""https://github.com/yifangao112/DeSAM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training | MICCAI 2024 - Open Access MICCAI 2024 3d63be933b1fbde1 [] "[""https://github.com/MoramiSu/QFT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DES-SAM: Distillation-Enhanced Semantic SAM for Cervical Nuclear Segmentation with Box Annotation | MICCAI 2024 - Open Access MICCAI 2024 8868b96c7c2c2f7a [] "[""https://github.com/CVIU-CSU/DES-SAM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detecting noisy labels with repeated cross-validations | MICCAI 2024 - Open Access MICCAI 2024 3b3b14f831ae4b99 [] "[""https://github.com/GJiananChen/ReCoV""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Development of Effective Connectome from Infancy to Adolescence | MICCAI 2024 - Open Access MICCAI 2024 7ba86ac97c0910aa [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks | MICCAI 2024 - Open Access MICCAI 2024 8d3859380f2b6096 [] "[""https://github.com/ayanglab/Diff3Dformer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models | MICCAI 2024 - Open Access MICCAI 2024 1b4e70a97c958c53 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images | MICCAI 2024 - Open Access MICCAI 2024 308aa3d173e6b1f4 [] "[""https://github.com/mareikethies/moco_diff_likelihood""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Differentiable Soft Morphological Filters for Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 de9e070dd6cfcddc [] "[""https://github.com/lisaGUZZI/Soft-morph""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation | MICCAI 2024 - Open Access MICCAI 2024 a90d24ad4cf6fb6b [] "[""https://github.com/ayanglab/DiffExplainer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 e52122314f605303 [] "[""https://github.com/CUHK-AIM-Group/DiffRect""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image Registration | MICCAI 2024 - Open Access MICCAI 2024 1f5af1b9ab2294c3 [] "[""https://github.com/KUJOYUTA/DiffuseReg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diffusion as Sound Propagation: Physics-inspired Model for Ultrasound Image Generation | MICCAI 2024 - Open Access MICCAI 2024 0ef72795ef619e51 [] "[""https://github.com/marinadominguez/diffusion-for-us-images""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diffusion Models with Implicit Guidance for Medical Anomaly Detection | MICCAI 2024 - Open Access MICCAI 2024 11ce9cbcea6479ce [] "[""https://github.com/compai-lab/2024-miccai-bercea-thor.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diffusion-based Domain Adaptation for Medical Image Segmentation using Stochastic Step Alignment | MICCAI 2024 - Open Access MICCAI 2024 72995436361f2b07 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images | MICCAI 2024 - Open Access MICCAI 2024 9cc549b77178fa03 [] "[""https://github.com/michelleespranita/ct_palette""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diffusion-Enhanced Transformation Consistency Learning for Retinal Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 024e3ef2e150dbbc [] "[""https://github.com/lixiang007666/DiffTCL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning | MICCAI 2024 - Open Access MICCAI 2024 82d14a287b3b48b1 [] "[""https://github.com/lydia-yllu/Diff-VPS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology | MICCAI 2024 - Open Access MICCAI 2024 26d446c96f7985e1 [] "[""github.com/marrlab/DinoBloom""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DINO-Reg: General Purpose Image Encoder for Training-free Multi-modal Deformable Medical Image Registration | MICCAI 2024 - Open Access MICCAI 2024 3f2b6c9505cd6950 [] "[""https://learn2reg.grand-challenge.org/Datasets/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment | MICCAI 2024 - Open Access MICCAI 2024 9e2d07a2426dbde4 [] "[""https://github.com/RPIDIAL/DiRecT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study | MICCAI 2024 - Open Access MICCAI 2024 a19ba3e3280e916b [] "[""https://adni.loni.usc.edu/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Disease-informed Adaptation of Vision-Language Models | MICCAI 2024 - Open Access MICCAI 2024 2c20b8e921436944 [] "[""https://github.com/RPIDIAL/Disease-informed-VLM-Adaptation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Disentangled Attention Graph Neural Network for Alzheimerâ_x0080__x0099_s Disease Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 842dce9c6852d010 [] "[""https://github.com/gururgg/DAGNN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure | MICCAI 2024 - Open Access MICCAI 2024 47a050ef6248062e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification | MICCAI 2024 - Open Access MICCAI 2024 30206861cb73922d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diversified and Structure-realistic Fundus Image Synthesis for Diabetic Retinopathy Lesion Segmentation | MICCAI 2024 - Open Access MICCAI 2024 924a089cdfabe037 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms | MICCAI 2024 - Open Access MICCAI 2024 12d266d9698036a2 [] "[""https://github.com/Tajamul21/D-MASTER""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DnFPlane For Efficient and High-Quality 4D Reconstruction of Deformable Tissues | MICCAI 2024 - Open Access MICCAI 2024 eecc6c470e48fe61 [] "[""https://github.com/CUMT-IRSI/DnFPlane.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain Adaptation for Unsupervised Cancer Detection: An application for skin Whole Slides Images from an interhospital dataset | MICCAI 2024 - Open Access MICCAI 2024 1778ed59166a5d23 [] "[""https://github.com/cvblab/DAUD-MICCAI2024""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning | MICCAI 2024 - Open Access MICCAI 2024 dc508dc6f5f49e5b [] "[""https://github.com/arnaudjudge/RL4Seg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DomainAdapt: Leveraging Multitask Learning and Domain Insights for Childrenâ_x0080__x0099_s Nutritional Status Assessment | MICCAI 2024 - Open Access MICCAI 2024 b78076ffecc84e89 [] "[""https://www.iab-rubric.org/resources/healthcare-datasets/anthrovision-dataset""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Double-tier Attention based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer | MICCAI 2024 - Open Access MICCAI 2024 5da6da2ab5c8f67e [] "[""https://github.com/PerrySkywalker/DAMLN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DPMNet: Dual-Path MLP-based Network for Aneurysm Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 7854a986dd4e8404 [] "[""https://github.com/zx123868/DPMNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data | MICCAI 2024 - Open Access MICCAI 2024 e046e26290547180 [] "[""https://github.com/Lucas-rbnt/DRIM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification | MICCAI 2024 - Open Access MICCAI 2024 d2db3692b7384b2d [] "[""https://github.com/yuanzhang7/DSCENet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences | MICCAI 2024 - Open Access MICCAI 2024 a9805bb24ffb57c8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion | MICCAI 2024 - Open Access MICCAI 2024 2ea00463b3d0d49c [] "[""https://bcmi.sjtu.edu.cn/~seed/index.html""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual-Modality Watershed Fusion Network for Thyroid Nodule Classification of Dual-View CEUS Video | MICCAI 2024 - Open Access MICCAI 2024 26183494807c180a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dynamic Hybrid Unrolled Multi-Scale Network for Accelerated MRI Reconstruction | MICCAI 2024 - Open Access MICCAI 2024 84b168b9f2672ec0 [] "[""https://fastmri.med.nyu.edu/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation | MICCAI 2024 - Open Access MICCAI 2024 6824bb164c5dceeb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation | MICCAI 2024 - Open Access MICCAI 2024 75ae9e0adb44d6d1 [] "[""https://github.com/shinning0821/MICCAI24-DoNuSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dynamic Single-Pixel Imaging on an Extended Field of View without Warping the Patterns | MICCAI 2024 - Open Access MICCAI 2024 4266d72563cf3a8c [] "[""https://github.com/openspyrit/spyrit""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension | MICCAI 2024 - Open Access MICCAI 2024 8a15329c65991277 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network | MICCAI 2024 - Open Access MICCAI 2024 07847dc384160a53 [] "[""https://github.com/laisong-22004009/EchoMEN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EchoNarrator: Generating natural text explanations for ejection fraction predictions | MICCAI 2024 - Open Access MICCAI 2024 72559368d2064b94 [] "[""https://github.com/guybenyosef/EchoNarrator""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing | MICCAI 2024 - Open Access MICCAI 2024 9a0e59dc07df7fce [] "[""https://github.com/HReynaud/EchoNet-Synthetic""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EchoTracker: Advancing Myocardial Point Tracking in Echocardiography | MICCAI 2024 - Open Access MICCAI 2024 36745b083b6ad99c [] "[""https://github.com/riponazad/echotracker/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning | MICCAI 2024 - Open Access MICCAI 2024 94205de3551d5d71 [] "[""github.com/CIG-UCL/eddeep""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient and Gender-adaptive Graph Vision Mamba for Pediatric Bone Age Assessment | MICCAI 2024 - Open Access MICCAI 2024 775982b9cdde4fc2 [] "[""https://github.com/SCU-zly/GGVMamba""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space | MICCAI 2024 - Open Access MICCAI 2024 5e48d7c5b991def4 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection | MICCAI 2024 - Open Access MICCAI 2024 d0a417370de8e2d3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videos | MICCAI 2024 - Open Access MICCAI 2024 8de4944c757f410b [] "[""https://github.com/Fujiry0/EgoSurgery""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Embracing Massive Medical Data | MICCAI 2024 - Open Access MICCAI 2024 fb8a16632294519d [] "[""https://github.com/MrGiovanni/OnlineLearning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology | MICCAI 2024 - Open Access MICCAI 2024 f983f080573ef3fa [] "[""https://github.com/chlohe/embryo-graphs""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EMF-former: An Efficient and Memory-Friendly Transformer for Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 dffb63f719937ab1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 4c38ac385351298b [] "[""https://github.com/zang0902/EM-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging | MICCAI 2024 - Open Access MICCAI 2024 48cfa25dd3d2a9c4 [] "[""https://github.com/dzp2095/FCU""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance | MICCAI 2024 - Open Access MICCAI 2024 0e27360a848e85cf [] "[""https://github.com/ShuchangYe-bib/SGSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting | MICCAI 2024 - Open Access MICCAI 2024 7d335db6d810c446 [] "[""https://github.com/lastbasket/Endo-4DGS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera | MICCAI 2024 - Open Access MICCAI 2024 1e14413593acd9ff [] "[""https://github.com/BeileiCui/EndoDAC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 41d43906b2aec547 [] "[""https://github.com/ku262/EndoFinder""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting | MICCAI 2024 - Open Access MICCAI 2024 50d08f786eb7b9d4 [] "[""https://github.com/Loping151/EndoGSLAM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Endora: Video Generation Models as Endoscopy Simulators | MICCAI 2024 - Open Access MICCAI 2024 5b90025a7cd3b0f6 [] "[""https://endora-medvidgen.github.io/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EndoSelf: Self-Supervised Monocular 3D Scene Reconstruction of Deformable Tissues with Neural Radiance Fields on Endoscopic Videos | MICCAI 2024 - Open Access MICCAI 2024 48e58d76fcb36198 [] "[""https://github.com/MoriLabNU/EndoSelf""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting | MICCAI 2024 - Open Access MICCAI 2024 fdfffdcd781779ad [] "[""https://endo-sparse.github.io/""]" "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +"https://github.com/CUHK-AIM-Group/EndoSparse""" MICCAI Yes 008c872b557a6ce1 [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy | MICCAI 2024 - Open Access MICCAI 2024 a573e41190f82efc [] "[""https://github.com/longbai1006/EndoUIC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Energy-Based Controllable Radiology Report Generation with Medical Knowledge | MICCAI 2024 - Open Access MICCAI 2024 ddb7c7eaf1cfe6a5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling | MICCAI 2024 - Open Access MICCAI 2024 72ba322f4524a5a3 [] "[""https://github.com/med-air/MonoEndoDepth""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhanced-quickDWI: Achieving equivalent clinical quality by denoising heavily sub-sampled diffusion-weighted imaging data | MICCAI 2024 - Open Access MICCAI 2024 de5e5ba749b54ed6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Federated Learning Performance Fairness via Collaboration Graph-based Reinforcement Learning | MICCAI 2024 - Open Access MICCAI 2024 36997364f1606bb5 [] "[""https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DBW86T""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model | MICCAI 2024 - Open Access MICCAI 2024 86b5969ace755fd8 [] "[""https://lisqzqng.github.io/GaitAnalysisVLM/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion | MICCAI 2024 - Open Access MICCAI 2024 9a155a1758d3803b [] "[""https://github.com/BCV-Uniandes/SpaRED""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns | MICCAI 2024 - Open Access MICCAI 2024 9f061f0b88776feb [] "[""https://github.com/knowlab/CXR_VLM_EyeGaze""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models | MICCAI 2024 - Open Access MICCAI 2024 5b954fe67368bf08 [] "[""https://github.com/chunmeifeng/TextDiff""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Model Generalisability through Sampling Diverse and Balanced Retinal Images | MICCAI 2024 - Open Access MICCAI 2024 941f8f653af5f471 [] "[""https://zenodo.org/records/12674694""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing New Multiple Sclerosis Lesion Segmentation via Self-supervised Pre-training and Synthetic Lesion Integration | MICCAI 2024 - Open Access MICCAI 2024 528a4d4e6c85e842 [] "[""https://github.com/PeymanTahghighi/SSLMRI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge | MICCAI 2024 - Open Access MICCAI 2024 ca1ac538826d8b17 [] "[""https://github.com/LemuelPuglisi/BrLP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning | MICCAI 2024 - Open Access MICCAI 2024 ba8f2b15e37c916f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology | MICCAI 2024 - Open Access MICCAI 2024 48c21cc04cfef51d [] "[""https://github.com/Vishwesh4/DGNN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection | MICCAI 2024 - Open Access MICCAI 2024 eb74200bad600704 [] "[""https://github.com/snavalm/disyre""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration | MICCAI 2024 - Open Access MICCAI 2024 9eaa3d128993d1c2 [] "[""https://github.com/LLEIHIT/CU-Reg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Epileptic Seizure Detection in SEEG Signals using a Unified Multi-scale Temporal-Spatial-Spectral Transformer Model | MICCAI 2024 - Open Access MICCAI 2024 374450abbd79ec6c [] "[""https://github.com/lizhuoyi-eve/CE-TSS-Transformer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation | MICCAI 2024 - Open Access MICCAI 2024 016e77749405253a [] "[""https://github.com/Mahbaneh/ESPA.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans | MICCAI 2024 - Open Access MICCAI 2024 c77b4f02f3131f77 [] "[""https://github.com/MunzerDw/NODF-HashEnc""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation | MICCAI 2024 - Open Access MICCAI 2024 60e596c50dd01c43 [] "[""https://github.com/RachaellNihalaani/SlicePropUQ""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluating the Fairness of Neural Collapse in Medical Image Classification | MICCAI 2024 - Open Access MICCAI 2024 d543ec7d3d13e615 [] "[""https://gitlab.com/radiology/neuro/neural-collapse-fairness""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluating the Quality of Brain MRI Generators | MICCAI 2024 - Open Access MICCAI 2024 78c4e3adb13a8ddf [] "[""https://github.com/jiaqiw01/MRIAnatEval.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 748237bb39aef3e1 [] "[""https://github.com/obiyoag/evi-CEM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification | MICCAI 2024 - Open Access MICCAI 2024 10c8c0af43d10122 [] "[""https://github.com/waahlstrand/xvfa""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explanation-driven Cyclic Learning for High-Quality Brain MRI Reconstruction from Unknown Degradation | MICCAI 2024 - Open Access MICCAI 2024 540631c1cc04e75d [] "[""https://camcan-archive.mrc-cbu.cam.ac.uk/dataaccess""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets | MICCAI 2024 - 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Open Access MICCAI 2024 4ca6e34cb7b899ad [] "[""https://github.com/AIPMLab/FACMIC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels | MICCAI 2024 - Open Access MICCAI 2024 3f9e5792576f1a59 [] "[""https://github.com/aayushmanace/PatchAlign24""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FairDiff: Fair Segmentation with Point-Image Diffusion | MICCAI 2024 - Open Access MICCAI 2024 922af44ad9ddbf41 [] "[""https://github.com/wenyi-li/FairDiff""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 7ac6622c2631ae88 [] "[""https://github.com/guoyb17/FairQuantize""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification | MICCAI 2024 - Open Access MICCAI 2024 c904775a9c215c15 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images | MICCAI 2024 - Open Access MICCAI 2024 baf26843d62202fd [] "[""https://github.com/arcadelab/FastSAM3D""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images | MICCAI 2024 - Open Access MICCAI 2024 60ded9b6862edddc [] "[""https://github.com/xmed-lab/FD-SOS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend | MICCAI 2024 - Open Access MICCAI 2024 e2e6fabde6f39d4c [] "[""https://github.com/mckellwoodland/fid-med-eval""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition | MICCAI 2024 - Open Access MICCAI 2024 158ec200d8220a49 [] "[""https://github.com/ztony0712/MCA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Feature Selection Gates with Gradient Routing for Endoscopic Image Computing | MICCAI 2024 - Open Access MICCAI 2024 c80aadaafce9b956 [] "[""https://github.com/cosmoimd/feature-selection-gates""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation | MICCAI 2024 - Open Access MICCAI 2024 d2dd01ad5cb51cfb [] "[""https://github.com/SnowRain510/GBMSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Federated Multi-Centric Image Segmentation with Uneven Label Distribution | MICCAI 2024 - Open Access MICCAI 2024 54d2c8844ccf87a1 [] "[""https://github.com/i-vesseg/RobustMedSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation | MICCAI 2024 - Open Access MICCAI 2024 5edf642027a000ab [] "[""https://github.com/JiayiChen815/FedEvi""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 476803181352c115 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness | MICCAI 2024 - Open Access MICCAI 2024 3889da0432031762 [] "[""https://github.com/HUSTxyy/FedIA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging | MICCAI 2024 - Open Access MICCAI 2024 ba0a52d9204828a6 [] "[""https://github.com/m1k2zoo/FedMedICL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity | MICCAI 2024 - Open Access MICCAI 2024 7fb2088e5f4216f2 [] "[""https://github.com/szbonaldo/FedMLP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging | MICCAI 2024 - Open Access MICCAI 2024 96dfb967f8427f42 [] "[""https://github.com/Pranabiitp/FedMRL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation | MICCAI 2024 - Open Access MICCAI 2024 551c5de4e332913d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Few Slices Suffice: Multi-Faceted Consistency Learning with Active Cross-Annotation for Barely-supervised 3D Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 56436f8238be7d68 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion | MICCAI 2024 - Open Access MICCAI 2024 7c07aa613c6c6155 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Few-shot Adaptation of Medical Vision-Language Models | MICCAI 2024 - Open Access MICCAI 2024 f285c832634b733f [] "[""https://github.com/FereshteShakeri/few-shot-MedVLMs""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Few-Shot Domain Adaptive Object Detection for Microscopic Images | MICCAI 2024 - Open Access MICCAI 2024 fc1e21e3dcd2d5b4 [] "[""https://im.itu.edu.pk/few-shot-DAODMI/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-Parametric Classifier | MICCAI 2024 - Open Access MICCAI 2024 2025ff6fc29eda58 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction | MICCAI 2024 - Open Access MICCAI 2024 2b0dd0170bd43546 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification | MICCAI 2024 - Open Access MICCAI 2024 ca34d4670fdc7e2b [] "[""https://github.com/YijinHuang/FPT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis | MICCAI 2024 - Open Access MICCAI 2024 f0695e62268c78ca [] "[""https://github.com/BioMedIA-MBZUAI/FissionFusion""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 2921753a40039c94 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks | MICCAI 2024 - Open Access MICCAI 2024 ea151e861080a488 [] "[""https://github.com/JuzhengMiao/FM-OSD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Follow Sonographersâ_x0080__x0099_ Visual Scan-path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound | MICCAI 2024 - Open Access MICCAI 2024 0fb2163342092965 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Follow the Radiologist: Clinically Relevant Multi-View Cues for Breast Cancer Detection from Mammograms | MICCAI 2024 - Open Access MICCAI 2024 a2cf2e60579b136d [] "[""https://mammo-iitd-aiims.github.io/CEN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images | MICCAI 2024 - Open Access MICCAI 2024 cf34bd7f5ab85cfd [] "[""https://github.com/evelynskip/artery-vein-segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT | MICCAI 2024 - Open Access MICCAI 2024 4064f97a5504baf4 [] "[""https://github.com/arunava555/Forecast_parallel_hyperplanes""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 48f16de852d1754e [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction | MICCAI 2024 - Open Access MICCAI 2024 44e38c012f204af9 [] "[""https://github.com/wrld/Free-SurGS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Pixel to Cancer: Cellular Automata in Computed Tomography | MICCAI 2024 - Open Access MICCAI 2024 2fd46d0ca664ea25 [] "[""https://github.com/MrGiovanni/Pixel2Cancer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos | MICCAI 2024 - Open Access MICCAI 2024 fe28ad071980da60 [] "[""https://github.com/CUHK-AIM-Group/VidMotion""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +fTSPL: Enhancing Brain Analysis with fMRI-Text Synergistic Prompt Learning | MICCAI 2024 - Open Access MICCAI 2024 d4376f0172f4a595 [] "[""https://github.com/CUHK-AIM-Group/fTSPL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels | MICCAI 2024 - Open Access MICCAI 2024 f2f090d4c554f1bf [] "[""https://github.com/Cardio-AI/FUNAvg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance | MICCAI 2024 - Open Access MICCAI 2024 5bfc3c98f104cfe4 [] "[""https://github.com/Michi-3000/Fundus2Video""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation | MICCAI 2024 - Open Access MICCAI 2024 d207666e24be92f4 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis | MICCAI 2024 - Open Access MICCAI 2024 0c224ece874a42ae [] "[""https://zhouzi180.github.io/Scoliosis1K/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction | MICCAI 2024 - Open Access MICCAI 2024 c6bba421518151a7 [] "[""https://github.com/smbonilla/GaussianPancakes""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening | MICCAI 2024 - Open Access MICCAI 2024 780a13f32aa0740c [] "[""https://github.com/YanKong0408/Gaze-DETR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image | MICCAI 2024 - Open Access MICCAI 2024 d072b8d4be13ec07 [] "[""https://github.com/SX-SS/GD-ViG""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GBT: Geometric-oriented Brain Transformer for Autism Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 191cbd72fd3658bb [] "[""https://github.com/CUHK-AIM-Group/GBT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GCAN: Generative Counterfactual Attention-guided Network for Explainable Cognitive Decline Diagnostics based on fMRI Functional Connectivity | MICCAI 2024 - Open Access MICCAI 2024 2c2c5cdcb14f7abd [] "[""https://github.com/SXR3015/GCAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph | MICCAI 2024 - Open Access MICCAI 2024 5e6311c1872c1a09 [] "[""https://github.com/Tiger-SN/GEM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia | MICCAI 2024 - Open Access MICCAI 2024 bbc6f793a44e9c43 [] "[""https://github.com/yanzipei/VF_RED""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations | MICCAI 2024 - Open Access MICCAI 2024 43d70dc4e0e10e6e [] "[""https://github.com/richard-peng-xia/DECO""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generating Anatomically Accurate Heart Structures via Neural Implicit Fields | MICCAI 2024 - Open Access MICCAI 2024 c60c818021d84599 [] "[""https://cvlab.epfl.ch/data""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generating Progressive Images from Pathological Transitions via Diffusion Model | MICCAI 2024 - Open Access MICCAI 2024 fab783b5bab5c6ed [] "[""https://github.com/Rowerliu/ADD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction | MICCAI 2024 - Open Access MICCAI 2024 9ecf1514029e14c8 [] "[""https://github.com/Mengflz/PathoTME""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos | MICCAI 2024 - Open Access MICCAI 2024 ab5b0a3bf5090577 [] "[""https://github.com/jayrmh/QAERTS.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact | MICCAI 2024 - Open Access MICCAI 2024 d6fd8b3027aeedf7 [] "[""https://github.com/dbouget/validation_metrics_computation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GMM-CoRegNet: A Multimodal Groupwise Registration Framework Based on Gaussian Mixture Model | MICCAI 2024 - Open Access MICCAI 2024 3d3bca54fb907cb5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GMoD: Graph-driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation | MICCAI 2024 - Open Access MICCAI 2024 ddbb8761bcff1cdc [] "[""https://github.com/xzp9999/GMoD-mian""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Goal-conditioned reinforcement learning for ultrasound navigation guidance | MICCAI 2024 - Open Access MICCAI 2024 a01cdd319163cf3b [] "[""https://www.cancerimagingarchive.net/collection/lidc-idri/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising | MICCAI 2024 - Open Access MICCAI 2024 afcb8c3f8a045f61 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast Respiratory and Cardiac Motions | MICCAI 2024 - Open Access MICCAI 2024 60dea567fb21d6c8 [] "[""https://github.com/ayanglab/DTCMR-Reg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks | MICCAI 2024 - Open Access MICCAI 2024 22f442906c73af4d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images | MICCAI 2024 - Open Access MICCAI 2024 0e8f33d44331288f [] "[""https://github.com/JinPLu/H2ASeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 f0e26392ac375c98 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hallucination Index: An Image Quality Metric for Generative Reconstruction Models | MICCAI 2024 - Open Access MICCAI 2024 fc147ffcfc6344c9 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment | MICCAI 2024 - Open Access MICCAI 2024 099a0d0b65852063 [] "[""https://github.com/arf111/HAMIL-QA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hard Negative Sample Mining for Whole Slide Image Classification | MICCAI 2024 - Open Access MICCAI 2024 907bc8ad9582ff5e [] "[""https://github.com/winston52/HNM-WSI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos | MICCAI 2024 - Open Access MICCAI 2024 9b230202fc6bd1d6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis | MICCAI 2024 - Open Access MICCAI 2024 243f72f047e00d42 [] "[""https://github.com/hrlblab/HATs""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent? | MICCAI 2024 - Open Access MICCAI 2024 576b9d9e1e313e02 [] "[""https://zenodo.org/records/7442914""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models | MICCAI 2024 - Open Access MICCAI 2024 2b6b5da70798988a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition | MICCAI 2024 - Open Access MICCAI 2024 ecafab436953c33f [] "[""https://github.com/CAMMA-public/HecVL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hemodynamic-Driven Multi-Prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI | MICCAI 2024 - Open Access MICCAI 2024 1b9b149b755ef745 [] "[""https://github.com/Medical-AI-Lab-of-JNU/HDMP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration | MICCAI 2024 - Open Access MICCAI 2024 9ca1b40121bc86c4 [] "[""https://voldemort108x.github.io/hetero_uncertainty/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HF-ResDiff: High-Frequency-guided Residual Diffusion for Multi-dose PET Reconstruction | MICCAI 2024 - Open Access MICCAI 2024 ea666c91ac26ea26 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 8e9189fc9ced733b [] "[""https://github.com/xmed-lab/HiA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction | MICCAI 2024 - Open Access MICCAI 2024 4edb4f593fc415d4 [] "[""https://github.com/CUHK-AIM-Group/SW-HGL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical multiple instance learning for COPD grading with relatively specific similarity | MICCAI 2024 - Open Access MICCAI 2024 1830468199293cfd [] "[""https://github.com/Mars-Zhang123/H-MIL.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical Symmetric Normalization Registration using Deformation-Inverse Network | MICCAI 2024 - Open Access MICCAI 2024 701a3a870be0300a [] "[""https://github.com/QingRui-Sha/HSyN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning | MICCAI 2024 - Open Access MICCAI 2024 fff57a8281495aad [] "[""https://github.com/Hasindri/HLSS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +High-resolution Medical Image Translation via Patch Alignment-Based Bidirectional Contrastive Learning | MICCAI 2024 - Open Access MICCAI 2024 adccc2c5d7143fc4 [] "[""https://github.com/coffeeNtv/PPT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction | MICCAI 2024 - Open Access MICCAI 2024 08b0fdddd0287817 [] "[""https://github.com/dddavid4real/HistGen""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HistoSyn: Histomorphology-Focused Pathology Image Synthesis | MICCAI 2024 - Open Access MICCAI 2024 70e6bc3802aa069a [] "[""https://github.com/7LFB/HistoSyn""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HoG-Net: Hierarchical Multi-Organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images | MICCAI 2024 - Open Access MICCAI 2024 731760887a249091 [] "[""https://github.com/bmi-imaginelab/HoGNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation | MICCAI 2024 - Open Access MICCAI 2024 9d0149a29d611c55 [] "[""https://github.com/CVIU-CSU/HRDecoder""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HuLP: Human-in-the-Loop for Prognosis | MICCAI 2024 - Open Access MICCAI 2024 856da9010dcc1afc [] "[""https://github.com/BioMedIA-MBZUAI/HuLP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation | MICCAI 2024 - Open Access MICCAI 2024 ebea0e84eddadd12 [] "[""https://github.com/manuelbirlo/US_GrabNet_grasp_generation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation | MICCAI 2024 - Open Access MICCAI 2024 04e8d4621e1e944b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HyperSpace: Hypernetworks for spacing-adaptive image segmentation | MICCAI 2024 - Open Access MICCAI 2024 aabc364adb957cf9 [] "[""https://github.com/ImFusionGmbH/HyperSpace""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training | MICCAI 2024 - Open Access MICCAI 2024 8123abed7fee6377 [] "[""https://github.com/FengheTan9/HySparK""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +I2Net: Exploiting Misaligned Contexts Orthogonally with Implicit-Parameterized Implicit Functions for Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 23a0de7e4f1516b3 [] "[""https://github.com/ChineseYjh/I2Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IarCAC: Instance-aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT angiography | MICCAI 2024 - Open Access MICCAI 2024 e05d9f6546b4f904 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images | MICCAI 2024 - Open Access MICCAI 2024 b445f88220bdbe7c [] "[""https://github.com/charzharr/miccai24-ihcsurv""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise (DINO) | MICCAI 2024 - Open Access MICCAI 2024 ba0b53500a0c1d0c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Image Distillation for Safe Data Sharing in Histopathology | MICCAI 2024 - Open Access MICCAI 2024 978b1f95abe84ac4 [] "[""https://github.com/ZheLi2020/InfoDist""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis | MICCAI 2024 - Open Access MICCAI 2024 e0c4bac276f662b8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations | MICCAI 2024 - Open Access MICCAI 2024 e556eb156a816e77 [] "[""https://github.com/multimodallearning/MICCAI24_IMMoCo.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging | MICCAI 2024 - 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Open Access MICCAI 2024 a433f324116f04cc [] "[""https://github.com/Deep-Imaging-Group/LTGM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 d2ae64d15c545d6e [] "[""https://danielchyeh.github.io/MDPipe/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +InstaSAM: Instance-aware Segment Any Nuclei Model with Point Annotations | MICCAI 2024 - Open Access MICCAI 2024 76d435a9a50f42b5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integrating Clinical Knowledge into Concept Bottleneck Models | MICCAI 2024 - Open Access MICCAI 2024 cd1d0a96e2117946 [] "[""https://github.com/PangWinnie0219/align_concept_cbm""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification | MICCAI 2024 - Open Access MICCAI 2024 5fdb8631a6b5129c [] "[""https://github.com/StonyBrookDB/igt-wsi""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Inter-Intra High-Order Brain Network for ASD Diagnosis via Functional MRIs | MICCAI 2024 - Open Access MICCAI 2024 4671766e22432c99 [] "[""http://fcon_1000.projects.nitrc.org/indi/abide/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable phenotypic profiling of 3D cellular morphodynamics | MICCAI 2024 - Open Access MICCAI 2024 c2f82b8406793101 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable Representation Learning of Cardiac MRI via Attribute Regularization | MICCAI 2024 - Open Access MICCAI 2024 4d7a55b1b95d0522 [] "[""https://github.com/compai-lab/2024-miccai-di-folco""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation | MICCAI 2024 - 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Open Access MICCAI 2024 f8dc1cab7bddf92a [] "[""https://github.com/jjm1589/DSTCT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IOSSAM: Label Efficient Multi-View Prompt-Driven Tooth Segmentation | MICCAI 2024 - Open Access MICCAI 2024 0912695a735ee557 [] "[""https://github.com/ar-inspire/IOSSAM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 33e40af29cb64db4 [] "[""https://github.com/HiLab-git/IPLC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Is this hard for you? Personalized human difficulty estimation for skin lesion diagnosis | MICCAI 2024 - Open Access MICCAI 2024 3b477ab830b56acf [] "[""https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/38OJR6""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification | MICCAI 2024 - Open Access MICCAI 2024 0b7bfe7dc062b78a [] "[""https://github.com/ustlsh/IOIS_imbalance""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI | MICCAI 2024 - Open Access MICCAI 2024 c1e19d58429cddb5 [] "[""https://github.com/ZiyunLiang/IterMask2""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": 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Aggregation Network for Multi-Organ Trauma Detection | MICCAI 2024 - Open Access MICCAI 2024 1edfc28b70f38c1a [] "[""https://github.com/med-air/TraumaDet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification | MICCAI 2024 - Open Access MICCAI 2024 0eb2845de9993ef5 [] "[""https://github.com/kilianzepf/laplacian_segmentation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Large-Scale 3D Infant Face Model | MICCAI 2024 - Open Access MICCAI 2024 0dc824324a2d0252 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans | MICCAI 2024 - Open Access MICCAI 2024 d2306236574dc643 [] "[""https://github.com/edwardwang1/LDFormer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression | MICCAI 2024 - Open Access MICCAI 2024 e411ec72a45ab68d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LB-UNet: A Lightweight Boundary-assisted UNet for Skin Lesion Segmentation | MICCAI 2024 - Open Access MICCAI 2024 f9031aa915e67c6f [] "[""https://github.com/xuxuxuxuxuxjh/LB-UNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations | MICCAI 2024 - Open Access MICCAI 2024 ca2f445330a56593 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction | MICCAI 2024 - Open Access MICCAI 2024 13d443b067f04d32 [] "[""https://github.com/xmed-lab/DIF-Gaussian""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound | MICCAI 2024 - Open Access MICCAI 2024 af08ba4fd4302279 [] "[""https://github.com/hawaii-ai/bus-cbm""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning from Partial Label Proportions for Whole Slide Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 4c7f464d387d78fd [] "[""https://github.com/matsuo-shinnosuke/LPLP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Representations by Maximizing Mutual Information Across Views for Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 dd8da97adca24621 [] "[""https://github.com/on1kou95/Mutual-Exemplar""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations | MICCAI 2024 - Open Access MICCAI 2024 0e151706f304f957 [] "[""https://github.com/EmreTaha/TC-time_equivariant_disease_progression""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets | MICCAI 2024 - Open Access MICCAI 2024 4d59003e13b6a5ef [] "[""https://github.com/ccarliu/multimodal-PL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Let Me DeCode You: Decoder Conditioning with Tabular Data | MICCAI 2024 - Open Access MICCAI 2024 a406fb9ec72716bc [] "[""https://github.com/SanoScience/DeCode""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Letting Osteocytes Teach SR-microCT Bone Lacunae Segmentation: A Feature Variation Distillation Method via Diffusion Denoising | MICCAI 2024 - Open Access MICCAI 2024 f1e7f53c2d8c47e3 [] "[""https://github.com/isabellapoles/LOTUS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering | MICCAI 2024 - Open Access MICCAI 2024 2fcebe2986d8813b [] "[""https://github.com/big-white-rabbit/Coarse-to-Fine-Grained-Contrastive-Learning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Image Captions for Selective Whole Slide Image Annotation | MICCAI 2024 - Open Access MICCAI 2024 d3de34a0b5e2aba6 [] "[""https://github.com/DeepMicroscopy/Prototype-sampling""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection | MICCAI 2024 - Open Access MICCAI 2024 b7ce321a30325293 [] "[""https://github.com/FinnBehrendt/Mahalanobis-Unsupervised-Anomaly-Detection""]" "{""public"": ""Yes"", ""dependencies"": NaN, 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""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration | MICCAI 2024 - Open Access MICCAI 2024 0f30f755196240cf [] "[""https://github.com/wdr123/splineCNN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning | MICCAI 2024 - Open Access MICCAI 2024 857c200f8da062f4 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal | MICCAI 2024 - Open Access MICCAI 2024 9eb2fef6c03f6db2 [] "[""https://github.com/OliverZXY/LWSR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion | MICCAI 2024 - Open Access MICCAI 2024 6fe359c068e1fb34 [] "[""https://github.com/DavisMeee/LighTDiff""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans | MICCAI 2024 - Open Access MICCAI 2024 c7b77449177fffd7 [] "[""https://diagnostics4u.github.io/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 557bd1648ad2e5da [] "[""https://github.com/wjh892521292/LKM-UNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer | MICCAI 2024 - Open Access MICCAI 2024 b72a9026b6a637b7 [] "[""https://github.com/KyleKWKim/LLM-guided-Multimodal-MIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LM-UNet: Whole-body PET-CT Lesion Segmentation with Dual-Modality-based Annotations Driven by Latent Mamba U-Net | MICCAI 2024 - Open Access MICCAI 2024 d35e5b5f9abb41f7 [] "[""https://github.com/Joey-S-Liu/LM-UNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD | MICCAI 2024 - Open Access MICCAI 2024 9d901066c1a140a1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones | MICCAI 2024 - Open Access MICCAI 2024 1bbbdf9d8e1eff92 [] "[""https://github.com/BioMedIA-repo/LEPD-Net.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion | MICCAI 2024 - Open Access MICCAI 2024 812a14ea0c55c804 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LOMIA-T: A Transformer-based LOngitudinal Medical Image Analysis framework for predicting treatment response of esophageal cancer | MICCAI 2024 - Open Access MICCAI 2024 1fd9a92b41c322a7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Longitudinal Mammogram Risk Prediction | MICCAI 2024 - Open Access MICCAI 2024 6edb85279c64a847 [] "[""https://github.com/batuhankmkaraman/LoMaR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development | MICCAI 2024 - Open Access MICCAI 2024 c35b5992fc740d21 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 54ec1d2c66670bfb [] "[""https://github.com/Gaotianhong/LooseLocationSS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base | MICCAI 2024 - Open Access MICCAI 2024 930b9ff20d9725ba [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation | MICCAI 2024 - Open Access MICCAI 2024 49debd625b4488c0 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 3997cbf7b468868d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Low-Shot Prompt Tuning for Multiple Instance Learning based Histology Classification | MICCAI 2024 - Open Access MICCAI 2024 528951156ac00e05 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification | MICCAI 2024 - Open Access MICCAI 2024 68ca256d3b148e20 [] "[""https://github.com/abhisheksambyal/lsplus""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LSSNet: A Method for Colon Polyp Segmentation Based on Local Feature Supplementation and Shallow Feature Supplementation | MICCAI 2024 - Open Access MICCAI 2024 343c87774ee949bf [] "[""https://github.com/heyeying/LSSNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation | MICCAI 2024 - Open Access MICCAI 2024 49bc8922abe304c7 [] "[""https://github.com/YixinChen-AI/LUCIDA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer | MICCAI 2024 - Open Access MICCAI 2024 51e0dc48cc197402 [] "[""https://github.com/SongZHS/M2Fusion""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +M4oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts | MICCAI 2024 - Open Access MICCAI 2024 ca32db7fedfeb018 [] "[""https://github.com/JefferyJiang-YF/M4oE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MAdapter: A Better Interaction between Image and Language for Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 54af8887ce71cb61 [] "[""https://github.com/XShadow22/MAdapter""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology | MICCAI 2024 - Open Access MICCAI 2024 099f36deb9d6c556 [] "[""https://github.com/isyangshu/MambaMIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography | MICCAI 2024 - Open 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Tumor Lesion Semantic Segmentation | MICCAI 2024 - Open Access MICCAI 2024 4edf0850dfbb36df [] "[""https://github.com/nanase1025/M-SAM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain | MICCAI 2024 - Open Access MICCAI 2024 d54f18efab1e1a35 [] "[""https://github.com/ailab-kyunghee/MAMMI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring | MICCAI 2024 - Open Access MICCAI 2024 69973b407a2a9071 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling | MICCAI 2024 - Open Access MICCAI 2024 ca58da12d97c893b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation | MICCAI 2024 - Open Access MICCAI 2024 fdf45d6dc8fb6c99 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction | MICCAI 2024 - Open Access MICCAI 2024 55a814a6cd1a9e0d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MEDBind: Unifying Language and Multimodal Medical Data Embeddings | MICCAI 2024 - Open Access MICCAI 2024 e0275996df6c3d4e [] "[""https://physionet.org/content/mimic-cxr-jpg/2.0.0/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 b79f9a5c2fcf931b [] "[""https://github.com/HealthX-Lab/MedCLIP-SAM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation | MICCAI 2024 - Open Access MICCAI 2024 76d4c2668cd58643 [] "[""https://github.com/hananshafi/MedContext""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Med-Former: A Transformer based Architecture for Medical Image Classification | MICCAI 2024 - Open Access MICCAI 2024 2bed1a314b349826 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning | MICCAI 2024 - Open Access MICCAI 2024 d96ea77e1fe8f827 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis | MICCAI 2024 - Open Access MICCAI 2024 687bf1d8bbfa0c2d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting | MICCAI 2024 - Open Access MICCAI 2024 6bb3ea357ef418a1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection | MICCAI 2024 - Open Access MICCAI 2024 9ed79f18dc543204 [] "[""https://github.com/cnulab/MediCLIP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification | MICCAI 2024 - Open Access MICCAI 2024 d3afec56e5c88da6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MedSynth: Leveraging Generative Model for Healthcare Data Sharing | MICCAI 2024 - Open Access MICCAI 2024 3c22d1451c296a7c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MEGFormer: enhancing speech decoding from brain activity through extended semantic representations | MICCAI 2024 - Open Access MICCAI 2024 5bbc783a42df261f [] "[""https://github.com/maryjis/MEGformer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models | MICCAI 2024 - Open Access MICCAI 2024 2d3ec340bd74a19f [] "[""https://github.com/nicetomeetu21/CA-LDM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters | MICCAI 2024 - Open Access MICCAI 2024 0d5f671862377ff0 [] "[""https://github.com/tinymilky/Mem-Warp""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy | MICCAI 2024 - Open Access MICCAI 2024 8f89fce57e079d9b [] "[""https://github.com/juseonghan/MeshBrush""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MetaAD: Metabolism-Aware Anomaly Detection for Parkinsonâ_x0080__x0099_s Disease in 3D 18F-FDG PET | MICCAI 2024 - Open Access MICCAI 2024 8bfb87ecd3332815 [] "[""https://github.com/MedAIerHHL/MetaAD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MetaStain: Stain-generalizable Meta-learning for Cell Segmentation and Classification with Limited Exemplars | MICCAI 2024 - Open Access MICCAI 2024 ed81210bec2a34a0 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MetaUNETR: Rethinking Token Mixer Encoding for Efficient Multi-Organ Segmentation | MICCAI 2024 - Open Access MICCAI 2024 14e3fd32baf508d9 [] "[""https://github.com/lyupengju/MetaUNETR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MGDR: Multi-Modal Graph Disentangled Representation for Brain Disease Prediction | MICCAI 2024 - Open Access MICCAI 2024 c93f24740953ff1f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis | MICCAI 2024 - Open Access MICCAI 2024 767f75a59885ff44 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MiHATP:A Multi-Hybrid Attention Super-Resolution Network for Pathological Image Based on Transformation Pool Contrastive Learning | MICCAI 2024 - Open Access MICCAI 2024 2131bebbf94960c9 [] "[""https://github.com/rabberk/MiHATP.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning | MICCAI 2024 - Open Access MICCAI 2024 6bac6e4fed2b00e6 [] "[""https://github.com/director87/ARML""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Misaligned 3D Texture Optimization in MIS Utilizing Generative Framework | MICCAI 2024 - Open Access MICCAI 2024 5598784f0f7ca8d6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Misjudging the Machine: Gaze May Forecast Human-Machine Team Performance in Surgery | MICCAI 2024 - Open Access MICCAI 2024 70e4c876b9d4111b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Missing as Masking: Arbitrary Cross-modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation | MICCAI 2024 - Open Access MICCAI 2024 579c5355dc7feaa9 [] "[""https://www.med.upenn.edu/sbia/brats2018/data.html""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mitigating attribute amplification in counterfactual image generation | MICCAI 2024 - Open Access MICCAI 2024 2fd567a9c3152420 [] "[""https://github.com/biomedia-mira/attribute-amplification""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mixed Integer Linear Programming for Discrete Sampling Scheme Design in Diffusion MRI | MICCAI 2024 - Open Access MICCAI 2024 04a5ed6d4e0aa711 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History | MICCAI 2024 - Open Access MICCAI 2024 b1d737cbb74166d8 [] "[""https://mammo-iitd-aiims.github.io/MMBCD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer | MICCAI 2024 - Open Access MICCAI 2024 b46878ab67d8a98f [] "[""https://github.com/wuchengyu123/MMFusion""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MMQL: Multi-Question Learning for Medical Visual Question Answering | MICCAI 2024 - Open Access MICCAI 2024 6871c992f0bbeab1 [] "[""https://github.com/shanziSZ/MMQL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise | MICCAI 2024 - Open Access MICCAI 2024 3a499b4e38cbf1fe [] "[""https://github.com/lxirich/MM-Retinal""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video | MICCAI 2024 - Open Access MICCAI 2024 1d656539d84dac5f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MoCo-Diff: Adaptive Conditional Prior on Diffusion Network for MRI Motion Correction | MICCAI 2024 - Open Access MICCAI 2024 c8f84b6857e36a84 [] "[""https://github.com/fengza/MoCo-Diff""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modeling and Understanding Uncertainty in Medical Image Classification | MICCAI 2024 - Open Access MICCAI 2024 3b3f8f24b9d44536 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation | MICCAI 2024 - Open Access MICCAI 2024 57072baa78f39c59 [] "[""https://github.com/BWGZK/ModelMix/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MoME: Mixture of Multimodal Experts for Cancer Survival Prediction | MICCAI 2024 - Open Access MICCAI 2024 c887f3c6798c6eda [] "[""https://github.com/BearCleverProud/MoME""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MoRA: LoRA Guided Multi-Modal Disease Diagnosis with Missing Modality | MICCAI 2024 - Open Access MICCAI 2024 23484f2869dac135 [] "[""https://github.com/zhiyiscs/MoRA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 59a7fcdca28aaea4 [] "[""https://github.com/zhaohaoyu376/morestyle""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MOST: Multi-Formation Soft Masking for Semi-Supervised Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 808cc44bb3ce96f5 [] "[""https://github.com/CUHK-AIM-Group/MOST-SSL4MIS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification | MICCAI 2024 - Open Access MICCAI 2024 42a95219c0c6f652 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +mQSM: Multitask Learning-based Quantitative Susceptibility Mapping for Iron Analysis in Brain | MICCAI 2024 - Open Access MICCAI 2024 3ab344afe085c8b6 [] "[""https://github.com/TyrionJ/mQSM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MRScore: Evaluating Medical Report with LLM-based Reward System | MICCAI 2024 - Open Access MICCAI 2024 f1c6d350c616d895 [] "[""https://github.com/yunyiliu/MRScore""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction | MICCAI 2024 - Open Access MICCAI 2024 c986f67f05890eff [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-category Graph Reasoning for Multi-modal Brain Tumor Segmentation | MICCAI 2024 - Open Access MICCAI 2024 116fe74bf8f58564 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Dataset Multi-Task Learning for COVID-19 Prognosis | MICCAI 2024 - Open Access MICCAI 2024 6e758ffa4c1573b6 [] "[""https://github.com/cosbidev/Multi-Dataset-Multi-Task-Learning-for-COVID-19-Prognosis""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation | MICCAI 2024 - Open Access MICCAI 2024 6373aac30bc0de49 [] "[""https://github.com/davelailai/multi-disease-detection-guided-by-causal-estimation.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Frequency and Smoke Attention-aware Learning based Diffusion Model for Removing Surgical Smoke | MICCAI 2024 - Open Access MICCAI 2024 2b6f90dcca1c1d87 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 89d8f1c0e0660873 [] "[""https://github.com/rabbittsui/Multilevel-Causal""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images | MICCAI 2024 - Open Access MICCAI 2024 c4747f475cdae533 [] "[""https://github.com/jsh0792/MCTI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations | MICCAI 2024 - Open Access MICCAI 2024 1251802ff06d4d46 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction | MICCAI 2024 - Open Access MICCAI 2024 c320ae8e90394272 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification | MICCAI 2024 - Open Access MICCAI 2024 876e3511d07e93cf [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal Learning for Embryo Viability Prediction in Clinical IVF | MICCAI 2024 - Open Access MICCAI 2024 d5282ea21f0cf7e9 [] "[""https://github.com/mibastro/MMIVF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection | MICCAI 2024 - Open Access MICCAI 2024 087fa433ad7869a0 [] "[""https://github.com/Shef-AIRE/AI4Cardiothoracic-CardioVAE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage | MICCAI 2024 - Open Access MICCAI 2024 d3cf81bf7ef268b8 [] "[""https://github.com/Henry-Xiong/3DCT-ICH""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-order Simplex-based Graph Neural Network for Brain Network Analysis | MICCAI 2024 - Open Access MICCAI 2024 a032290f121ca53f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-scale Region-aware Implicit Neural Network for Medical Images Matting | MICCAI 2024 - Open Access MICCAI 2024 d52870e3c9908929 [] "[""https://github.com/xuyanyu-shh/MedicalMattingMLP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-sequence learning for multiple sclerosis lesion segmentation in spinal cord MRI | MICCAI 2024 - Open Access MICCAI 2024 7108c4e7861f07df [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-stage Multi-granularity Focus-tuned Learning Paradigm for Medical HSI Segmentation | MICCAI 2024 - Open Access MICCAI 2024 580bb387ccea8d78 [] "[""https://github.com/DHC233/FL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation | MICCAI 2024 - Open Access MICCAI 2024 37a6856a7cd4714d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MultiVarNet - Predicting Tumour Mutational status at the Protein Level | MICCAI 2024 - Open Access MICCAI 2024 6559c1e28072adae [] "[""https://portal.gdc.cancer.gov/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MuST: Multi-Scale Transformers for Surgical Phase Recognition | MICCAI 2024 - Open Access MICCAI 2024 28e1b530f7bf8eda [] "[""https://github.com/BCV-Uniandes/MuST""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Myocardial Scar Enhancement in LGE Cardiac MRI using Localized Diffusion | MICCAI 2024 - Open Access MICCAI 2024 419b3bbaa7644165 [] "[""https://github.com/HMS-CardiacMR/Scar_enhancement""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neural Cellular Automata for Lightweight Robust and Explainable Classification of White Blood Cell Images | MICCAI 2024 - Open Access MICCAI 2024 b75a6d9ebe793015 [] "[""https://github.com/marrlab/WBC-NCA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature | MICCAI 2024 - Open Access MICCAI 2024 86ca6e68ddf6ebdc [] "[""https://github.com/ghayem/NeuroConText""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NeuroLink: Bridging Weak Signals in Neuronal Imaging with Morphology Learning | MICCAI 2024 - Open Access MICCAI 2024 16d0311b614612c0 [] "[""https://github.com/Qingjia0226/NeuroLink""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 93f8405dba69eb9c [] "[""https://github.com/MIC-DKFZ/nnUNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NODER: Image Sequence Regression Based on Neural Ordinary Differential Equations | MICCAI 2024 - Open Access MICCAI 2024 cf378dcbb92c25d8 [] "[""https://github.com/ZedKing12138/NODER-pytorch""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI | MICCAI 2024 - Open Access MICCAI 2024 4d51306085a52795 [] "[""https://github.com/Solor-pikachu/Nila""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI between Pre-operative and Follow-up Phases | MICCAI 2024 - Open Access MICCAI 2024 e3f58ac8ce641b1f [] "[""https://github.com/chongweiwu/NR-IAM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI | MICCAI 2024 - Open Access MICCAI 2024 6a78c7742e7a4fae [] "[""https://github.com/fiy2W/mri\\_seq2seq""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising | MICCAI 2024 - Open Access MICCAI 2024 5f6811e38b7f5ad4 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Nonrigid Reconstruction of Freehand Ultrasound without a Tracker | MICCAI 2024 - Open Access MICCAI 2024 ae8e34ec568231c2 [] "[""https://github.com/QiLi111/NR-Rec-FUS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images | MICCAI 2024 - Open Access MICCAI 2024 83e82063f040dfe6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels | MICCAI 2024 - Open Access MICCAI 2024 e98fb56ac6b43e48 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ocular Stethoscope: Auditory Support for Retinal Membrane Peeling | MICCAI 2024 - Open Access MICCAI 2024 6c804c90d34cca0f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction | MICCAI 2024 - Open Access MICCAI 2024 0873d833fe99499d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +On predicting 3D bone locations inside the human body | MICCAI 2024 - Open Access MICCAI 2024 4a271916c5c332e4 [] "[""https://3dbones.is.tue.mpg.de""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +One registration is worth two segmentations | MICCAI 2024 - Open Access MICCAI 2024 8eb72ec3ddb93ea7 [] "[""https://github.com/sqhuang0103/SAMReg.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Online 3D reconstruction and dense tracking in endoscopic videos | MICCAI 2024 - Open Access MICCAI 2024 9ad329a143b56b8e [] "[""https://github.com/mhayoz/online_endo_track""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Online learning in motion modeling for intra-interventional image sequences | MICCAI 2024 - Open Access MICCAI 2024 97a98f2fb33e611a [] "[""https://github.com/ngunnar/2D_motion_model""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +On-the-Fly Guidance Training for Medical Image Registration | MICCAI 2024 - Open Access MICCAI 2024 6276c848b04b12d3 [] "[""https://github.com/cilix-ai/on-the-fly-guidance""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Open-Set Semi-Supervised Medical Image Classification with Learnable Prototypes and Outlier Filter | MICCAI 2024 - Open Access MICCAI 2024 40e2ecd18a872455 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM using Reinforcement Learning | MICCAI 2024 - Open Access MICCAI 2024 f5b042992618185a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling | MICCAI 2024 - Open Access MICCAI 2024 b85cb4134fcc4263 [] "[""https://github.com/egeozsoy/ORacle""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction | MICCAI 2024 - Open Access MICCAI 2024 78381275f59f8a4b [] "[""https://github.com/zhengwang9/ORCGT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms | MICCAI 2024 - Open Access MICCAI 2024 5b23ed00daba5338 [] "[""https://github.com/xinwangxinwang/OA-BreaCR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +OSAL-ND: Open-set Active Learning for Nucleus Detection | MICCAI 2024 - Open Access MICCAI 2024 b8f76d2898b8b116 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Overcoming Atlas Heterogeneity in Federated Learning for Cross-site Connectome-based Predictive Modeling | MICCAI 2024 - Open Access MICCAI 2024 8475867b89c9816c [] "[""https://github.com/qinghaoliang/Federated-learning_across_atlases""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Overlay Mantle-Free for Semi-Supervised Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 6d891e6360b721c4 [] "[""https://github.com/vigilliu/OMF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pair Shuffle Consistency for Semi-supervised Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 7c76733eacb59011 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PAMIL: Prototype Attention-based Multiple Instance Learning for Whole Slide Image Classification | MICCAI 2024 - Open Access MICCAI 2024 187b2e01b7c3511a [] "[""https://github.com/Jiashuai-Liu/PAMIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PANS: Probabilistic Airway Navigation System for Real-time Robust Bronchoscope Localization | MICCAI 2024 - Open Access MICCAI 2024 105e95173ba4b71d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction | MICCAI 2024 - Open Access MICCAI 2024 083d8bbb297dd00a [] "[""https://github.com/MICV-yonsei/PETITE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa | MICCAI 2024 - Open Access MICCAI 2024 c3c058ce8dca9d8d [] "[""https://passionderm.github.io""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PASTA: Pathology-Aware MRI to PET CroSs-modal TrAnslation with Diffusion Models | MICCAI 2024 - Open Access MICCAI 2024 2ca8b1851bca0304 [] "[""https://github.com/ai-med/PASTA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification | MICCAI 2024 - Open Access MICCAI 2024 40a9746cdcb3689e [] "[""https://github.com/sm8754/PSJAMIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning | MICCAI 2024 - Open Access MICCAI 2024 07ae713d7b11c1ac [] "[""https://zenodo.org/records/6550925""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images | MICCAI 2024 - Open Access MICCAI 2024 d256245679ba6600 [] "[""https://github.com/hemo0826/PathMamba""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining | MICCAI 2024 - Open Access MICCAI 2024 da3c1036c804f2db [] "[""https://github.com/ccitachi/PSPStain""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PathoTune: Adapting Visual Foundation Model to Pathological Specialists | MICCAI 2024 - Open Access MICCAI 2024 05281cb6c56d48ac [] "[""https://github.com/openmedlab/PathoDuet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound | MICCAI 2024 - Open Access MICCAI 2024 cd8285d525a4688c [] "[""https://github.com/ReubenDo/MHVAE-Seg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 1c5de075d5221ae8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI | MICCAI 2024 - Open Access MICCAI 2024 327807f822113f86 [] "[""https://github.com/peirong26/PEPSI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields | MICCAI 2024 - Open Access MICCAI 2024 7aedf2487e184a83 [] "[""https://github.com/tljxyys/Perspective-Unet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets | MICCAI 2024 - Open Access MICCAI 2024 5d97a6bc9f376b3f [] "[""https://ultra-low-dose-pet.grand-challenge.org/Dataset/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 ff6c3c0cd38c943a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PG-MLIF: Multimodal Low-rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction | MICCAI 2024 - Open Access MICCAI 2024 8cb9abdcc7629983 [] "[""https://github.com/panxipeng/PG-MLIF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images | MICCAI 2024 - Open Access MICCAI 2024 f3bc0b5939aab10d [] "[""https://github.com/WarmongeringBeaver/PhenDiff""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis | MICCAI 2024 - Open Access MICCAI 2024 2bc18a0d78491c99 [] "[""https://github.com/Caewinix/Phy-Diff""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Physical-priors-guided Aortic Dissection Detection using Non-Contrast-Enhanced CT images | MICCAI 2024 - Open Access MICCAI 2024 172d9f56c7d997ef [] "[""https://github.com/Yukui-1999/PIAD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Physics informed neural networks for estimation of tissue properties from multi-echo configuration state MRI | MICCAI 2024 - Open Access MICCAI 2024 6ed0bcf3fdfe5096 [] "[""https://github.com/fuslab-uofu/mri-signal-model""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI | MICCAI 2024 - Open Access MICCAI 2024 2d68dba9162e63a8 [] "[""https://github.com/compai-lab/2024-miccai-eichhorn""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery | MICCAI 2024 - Open Access MICCAI 2024 d56b1f76dcc48d13 [] "[""https://github.com/mobarakol/PitVQA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs | MICCAI 2024 - Open Access MICCAI 2024 5c5e273c486a9ceb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI | MICCAI 2024 - Open Access MICCAI 2024 9e1f6a21129096af [] "[""https://github.com/Yinsongxu/PON.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Polyp-Mamba: Polyp Segmentation with Visual Mamba | MICCAI 2024 - Open Access MICCAI 2024 67c98e2e2a0ea378 [] "[""https://drive.usercontent.google.com/download?id=1pFxb9NbM8mj_rlSawTlcXG1OdVGAbRQC&export=download&authuser=0""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation | MICCAI 2024 - Open Access MICCAI 2024 7438125b2e4ae6fb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays | MICCAI 2024 - Open Access MICCAI 2024 005a964ae4b6abb1 [] "[""https://github.com/sunzc-sunny/PPAD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of Disease-Related Femur Shape Changes Using Geometric Encoding and Clinical Context on a Hip Disease CT Database | MICCAI 2024 - Open Access MICCAI 2024 796b861190bce7b4 [] "[""https://github.com/RIO98/FemurSurfacePrediction""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prior Activation Map Guided Cervical OCT Image Classification | MICCAI 2024 - Open Access MICCAI 2024 0218a2be17f1b8ee [] "[""https://github.com/ssea-lab/AMGuided_Cervical_OCT_Classification""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts | MICCAI 2024 - Open Access MICCAI 2024 7f0f04de4a22899f [] "[""https://github.com/MedICL-VU/PRISM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Privacy Protection in MRI Scans Using 3D Masked Autoencoders | MICCAI 2024 - Open Access MICCAI 2024 20ab4df8faeb8fde [] "[""https://adni.loni.usc.edu/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs | MICCAI 2024 - Open Access MICCAI 2024 376a2e63472b98c6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks | MICCAI 2024 - Open Access MICCAI 2024 6ed20e894b902f3f [] "[""https://github.com/compai-lab/2024-miccai-fischer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Progressive Knowledge Distillation for Automatic Perfusion Parameter Maps Generation from Low Temporal Resolution CT Perfusion Images | MICCAI 2024 - Open Access MICCAI 2024 257afc6656a35a97 [] "[""https://github.com/mhson-kyle/progressive-kd""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 7dd955149818a5f7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model | MICCAI 2024 - Open Access MICCAI 2024 6a2f16b1cecf9822 [] "[""https://www.humanconnectome.org/study/hcp-lifespan-aging""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images | MICCAI 2024 - Open Access MICCAI 2024 5f5545ef8903ef7a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 5139a65ac4d326e2 [] "[""https://github.com/wkklavis/DAPSAM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection | MICCAI 2024 - Open Access MICCAI 2024 2654afd965b6dbe3 [] "[""https://github.com/CDchenlin/DentalVLM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prompting Whole Slide Image Based Genetic Biomarker Prediction | MICCAI 2024 - Open Access MICCAI 2024 4d349965c3bf66d1 [] "[""https://github.com/DeepMed-Lab-ECNU/PromptBio""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning | MICCAI 2024 - Open Access MICCAI 2024 6da20df9012965cb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection | MICCAI 2024 - Open Access MICCAI 2024 892619d7652d45d5 [] "[""https://github.com/pfrwilson/prostNfound""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration | MICCAI 2024 - Open Access MICCAI 2024 8b00812bb838bd84 [] "[""https://github.com/leonardsiegert/PULPo""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-ray | MICCAI 2024 - Open Access MICCAI 2024 968d18e34c186d65 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quality-Aware Fuzzy Min-Max Neural Networks for Dynamic Brain Network Analysis | MICCAI 2024 - Open Access MICCAI 2024 463c826fea09db64 [] "[""https://github.com/scurrytao/QFMMNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quantitative Assessment of Thyroid Nodules through Ultrasound Imaging Analysis | MICCAI 2024 - Open Access MICCAI 2024 ac05736da4f62ed2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +QueryNet: A Unified Framework for Accurate Polyp Segmentation and Detection | MICCAI 2024 - Open Access MICCAI 2024 d660418d6adc7a68 [] "[""https://github.com/JiaxingChai/Query_Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quest for Clone: Test-time Domain Adaptation for Medical Image Segmentation by Searching the Closest Clone in Latent Space | MICCAI 2024 - Open Access MICCAI 2024 b727d100395239e5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features | MICCAI 2024 - Open Access MICCAI 2024 39dfbe3169dc0759 [] "[""https://github.com/nainye/RadiomicsFill""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RDD-Net: Randomized Joint Data-Feature Augmentation and Deep-Shallow Feature Fusion Networks for Automated Diagnosis of Glaucoma | MICCAI 2024 - Open Access MICCAI 2024 5f6728231c96a33c [] "[""https://github.com/TangYilin610/RDD-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Realistic Surgical Image Dataset Generation Based On 3D Gaussian Splatting | MICCAI 2024 - Open Access MICCAI 2024 9467d6fd8d4da76f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Real-world Visual Navigation for Cardiac Ultrasound View Planning | MICCAI 2024 - Open Access MICCAI 2024 e05f6ee69a215da0 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reciprocal Collaboration for Semi-supervised Medical Image Classification | MICCAI 2024 - Open Access MICCAI 2024 3f912ed4f6d88ebb [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning | MICCAI 2024 - Open Access MICCAI 2024 88a20e9218c42923 [] "[""https://github.com/MedAITech/RAB""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reference-free Axial Super-resolution of 3D Microscopy Images using Implicit Neural Representation with a 2D Diffusion Prior | MICCAI 2024 - Open Access MICCAI 2024 348a7d635ce3e441 [] "[""https://github.com/hvcl/INR-diffusion""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Refining Intraocular Lens Power Calculation: A Multi-modal Framework Using Cross-layer Attention and Effective Channel Attention | MICCAI 2024 - Open Access MICCAI 2024 5cff70b33d380df9 [] "[""https://github.com/liyiersan/IOL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Region Attention Transformer for Medical Image Restoration | MICCAI 2024 - Open Access MICCAI 2024 f6f88918db54ef54 [] "[""https://github.com/Yaziwel/Region-Attention-Transformer-for-Medical-Image-Restoration.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Region-Specific Retrieval Augmentation for Longitudinal Visual Question Answering: A Mix-and-Match Paradigm | MICCAI 2024 - Open Access MICCAI 2024 ab79c4c31ea9989c [] "[""https://github.com/KawaiYung/RegioMix""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography | MICCAI 2024 - Open Access MICCAI 2024 ae0c75f89c83ee4c [] "[""https://github.com/an-michaelg/RT4U""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation | MICCAI 2024 - Open Access MICCAI 2024 08cd23e810cd305d [] "[""https://github.com/zenghy96/Reliable-Source-Approximation""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Representation Learning with a Transformer-Based Detection Model for Localized Chest X-Ray Disease and Progression Detection | MICCAI 2024 - Open Access MICCAI 2024 2f416f014c314a03 [] "[""https://github.com/McMasterAIHLab/CheXDetector""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism | MICCAI 2024 - Open Access MICCAI 2024 a3fa9911e112450a [] "[""https://github.com/Chrisa142857/SC-FC-Detour""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reprogramming Distillation for Medical Foundation Models | MICCAI 2024 - Open Access MICCAI 2024 276f472d7e3fad01 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography | MICCAI 2024 - Open Access MICCAI 2024 8a5f5dab2588e723 [] "[""https://github.com/Yuliang-Huang/4DCT-irregular-motion""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports | MICCAI 2024 - Open Access MICCAI 2024 8f64a2ef752e7cb8 [] "[""https://github.com/sStonemason/RET-CLIP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases | MICCAI 2024 - Open Access MICCAI 2024 60f4a67a1d9f8f88 [] "[""https://github.com/Luoxd1996/RAOS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective | MICCAI 2024 - Open Access MICCAI 2024 e4a9a80da06a66f7 [] "[""https://github.com/caiyu6666/AE4AD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rethinking Cell Counting Methods: Decoupling Counting and Localization | MICCAI 2024 - Open Access MICCAI 2024 c79de4ed1b1e5507 [] "[""https://github.com/MedAITech/DCL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rethinking Histology Slide Digitization Workflows for Low-Resource Settings | MICCAI 2024 - Open Access MICCAI 2024 6f4d57ea73e5b0df [] "[""https://github.com/nadeemlab/DeepLIIF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification | MICCAI 2024 - Open Access MICCAI 2024 8f62e0fcf859f72a [] "[""https://github.com/Hongbo-Chu/RetMIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection | MICCAI 2024 - Open Access MICCAI 2024 c9c9068f5607725c [] "[""https://github.com/Rubiscol/D2UE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Revisiting Self-Attention in Medical Transformers via Dependency Sparsification | MICCAI 2024 - Open Access MICCAI 2024 332dafb32a037092 [] "[""https://github.com/xianlin7/DMA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation | MICCAI 2024 - Open Access MICCAI 2024 89cfa4c27dd9a2b0 [] "[""https://github.com/weidai00/RIP-AV""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Conformal Volume Estimation in 3D Medical Images | MICCAI 2024 - Open Access MICCAI 2024 f507ae12f9d80a7d [] "[""https://github.com/benolmbrt/wcp_miccai""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration | MICCAI 2024 - Open Access MICCAI 2024 b46b50239e921a87 [] "[""https://github.com/med-air/CMC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection | MICCAI 2024 - Open Access MICCAI 2024 d04078a669ee17ab [] "[""https://github.com/HP-ML/MICCAI2024""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction | MICCAI 2024 - Open Access MICCAI 2024 e2ae0f2a076f2f13 [] "[""https://github.com/chenhbo/RoCoSDF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation | MICCAI 2024 - Open Access MICCAI 2024 afcaa1411451fa20 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SAM Guided Task-Specific Enhanced Nuclei Segmentation in Digital Pathology | MICCAI 2024 - Open Access MICCAI 2024 f2029d051ff842e0 [] "[""https://cvpr-kit.github.io/SAM-Guided-Enhanced-Nuclei-Segmentation/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 5c4955e826ef40c6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SANGRE: a Shallow Attention Network Guided by Resolution Expansion for MR Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 06d7c4a3b5aefa21 [] "[""https://github.com/Yhe9718/SANGRE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography | MICCAI 2024 - Open Access MICCAI 2024 f63d17fcdb57c6d4 [] "[""https://github.com/Da1daidaidai/SaSaMIM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 010d7ce52d35b6f5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images | MICCAI 2024 - Open Access MICCAI 2024 25fd0e66dc94c543 [] "[""https://github.com/yang-ze-kang/SCMIL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 703ec1339e6fdefa [] "[""https://github.com/pascalcpp/SDCL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SDFPlane: Explicit Neural Surface Reconstruction of Deformable Tissues | MICCAI 2024 - Open Access MICCAI 2024 9cfec153b58bc3fb [] "[""https://github.com/IRMVLab/SDFPlane""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +See Predict Plan: Diffusion for Procedure Planning in Robotic Surgical Videos | MICCAI 2024 - Open Access MICCAI 2024 89ba1a42a9057d9b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT | MICCAI 2024 - Open Access MICCAI 2024 01f06c69d6d19305 [] "[""https://doi.org/10.5281/zenodo.12672626""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 bbd10e052dc57352 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model | MICCAI 2024 - Open Access MICCAI 2024 55423ee27ec17684 [] "[""https://github.com/yanchaoz/SegNeuron""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-guided Knowledge-injected Graph Neural Network for Alzheimerâ_x0080__x0099_s Diseases | MICCAI 2024 - Open Access MICCAI 2024 f3aa700684930c85 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 e334fbc15ec1d6a5 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 b3413bc46654f02a [] "[""https://github.com/ChongQingNoSubway/SelfReg-UNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-supervised 3D Skeleton Completion for Vascular Structures | MICCAI 2024 - Open Access MICCAI 2024 9472fa6ac0aa8501 [] "[""https://github.com/reckdk/SkelCompletion-3D""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Contrastive Graph Views for Learning Neuron-level Circuit Network | MICCAI 2024 - Open Access MICCAI 2024 8cd1f3450392a3c8 [] "[""https://github.com/mxz12119/FlyGCL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-supervised Denoising and Bulk Motion Artifact Removal of 3D Optical Coherence Tomography Angiography of Awake Brain | MICCAI 2024 - Open Access MICCAI 2024 72ee1cf5a8ac8e4f [] "[""https://github.com/ZhenghLi/SOAD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations | MICCAI 2024 - Open Access MICCAI 2024 4ba2864aa9f2cc2d [] "[""https://github.com/compai-lab/2024-miccai-spieker""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-supervised Learning with Adaptive Graph Structure and Function Representation For Cross-Dataset Brain Disorder Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 086eea2058e2c0b3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization | MICCAI 2024 - Open Access MICCAI 2024 bed421ee9c31f6fc [] "[""https://github.com/sdoerrich97/vits-are-generative-models""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images | MICCAI 2024 - Open Access MICCAI 2024 a207e72210c5650a [] "[""https://github.com/kechunl/SAG""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images | MICCAI 2024 - Open Access MICCAI 2024 8e9cde6e06d5078f [] "[""https://github.com/Shauqi/SS-cVAE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Supervised Learning for Deep Causal Generative Models | MICCAI 2024 - Open Access MICCAI 2024 9432a52b0dca9e78 [] "[""https://github.com/yi249/ssl-causal""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion | MICCAI 2024 - Open 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[] "[""https://drive.google.com/file/d/1reHyY5eTZ5uePXMVMzFOq5j3eFOSp50F/view?usp=sharing""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 fd3115736b6e682b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Shortcut Learning in Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 aac83f12f2f07fb0 [] "[""https://github.com/nina-weng/shortcut_skinseg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SiFT: A Serial Framework with Textual Guidance for Federated Learning | MICCAI 2024 - Open Access MICCAI 2024 aa1843818e0ce21a [] "[""https://openi.pcl.ac.cn/OpenMedIA/SiFT.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders | MICCAI 2024 - Open Access MICCAI 2024 03dc32220d5190da [] "[""https://github.com/DDasChakladar/SimBrainNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network | MICCAI 2024 - Open Access MICCAI 2024 50611948142196e0 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues | MICCAI 2024 - Open Access MICCAI 2024 921300847b431e33 [] "[""https://github.com/xyx1024/SimTxtSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Simulation Based Inference for PET iterative reconstruction | MICCAI 2024 - Open Access MICCAI 2024 7cb8f5b70873f1ca [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images | MICCAI 2024 - Open Access MICCAI 2024 563cb9526a076e4a [] "[""https://github.com/bwittmann/syn-cerebral-octa-seg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Simultaneous Monocular Endoscopic Dense Depth and Odometry Estimation Using Local-Global Integration Networks | MICCAI 2024 - Open Access MICCAI 2024 09f5388948cb292d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model | MICCAI 2024 - Open Access MICCAI 2024 9077adf9ff2e7607 [] "[""https://github.com/XylonXu01/TFS-Diff""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Single-source Domain Generalization in Deep Learning Segmentation via Lipschitz Regularization | MICCAI 2024 - Open Access MICCAI 2024 bdc53f76d6463fdb [] "[""https://github.com/kaptres/LRFS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression | MICCAI 2024 - Open Access MICCAI 2024 9d25d954bd9d657e [] "[""https://github.com/Oulu-IMEDS/SiNGR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement | MICCAI 2024 - Open Access MICCAI 2024 72715e35700233d2 [] "[""https://github.com/Pangyk/SinoSynth""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SIX-Net: Spatial-context Information miX-up for Electrode Landmark Detection | MICCAI 2024 - Open Access MICCAI 2024 07db83d61526ab50 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS) | MICCAI 2024 - Open Access MICCAI 2024 4599faffe27d3392 [] "[""https://skincon.github.io""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model | MICCAI 2024 - Open Access MICCAI 2024 236dd6e90cce6a0f [] "[""https://github.com/MICV-yonsei/CT2MRI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning | MICCAI 2024 - Open Access MICCAI 2024 1539a78f267f6f3e [] "[""https://github.com/CSCYQJ/MICCAI24-Slice-Consistent-Lymph-Nodes-DETR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment | MICCAI 2024 - Open Access MICCAI 2024 555e6feeda789320 [] "[""https://github.com/lorifranke/SlicerTMS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification | MICCAI 2024 - Open Access MICCAI 2024 fda03d2bfcf334ee [] "[""https://github.com/HFUT-miaLab/SlideGCD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SOM2LM: Self-Organized Multi-Modal Longitudinal Maps | MICCAI 2024 - Open Access MICCAI 2024 6385dce15a2a735a [] "[""https://github.com/ouyangjiahong/longitudinal-som-multi-modality""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis | MICCAI 2024 - Open Access MICCAI 2024 041a9ea5a6853960 [] "[""https://github.com/zabboud/SparseBayesianNetwork""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 8a04b50cfb38592d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatial Context Awareness in Surgery through Sound Source Localization | MICCAI 2024 - Open Access MICCAI 2024 83c5de9d759564ce [] "[""https://caspa.visualstudio.com/CARD%20public/_git/SurgicalSSL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatial Diffusion for Cell Layout Generation | MICCAI 2024 - Open Access MICCAI 2024 ffe9aba18307c4d9 [] "[""https://github.com/superlc1995/Diffusion-cell""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction | MICCAI 2024 - Open Access MICCAI 2024 468d3a58584926d6 [] "[""https://github.com/Yan98/SGN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image | MICCAI 2024 - Open Access MICCAI 2024 d7b7c3e435099556 [] "[""https://github.com/zzr728/SAGAN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays | MICCAI 2024 - Open Access MICCAI 2024 f567941b83dfec79 [] "[""https://github.com/xmed-lab/SdAOF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography | MICCAI 2024 - Open Access MICCAI 2024 70b43ed9cdbf5d8c [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatiotemporal Graph Neural Network Modelling Perfusion MRI | MICCAI 2024 - Open Access MICCAI 2024 2d32dff191ae4d12 [] "[""https://github.com/DaisyYan2000/PerfGAT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatio-temporal neural distance fields for conditional generative modeling of the heart | MICCAI 2024 - Open Access MICCAI 2024 48650debff5eddb4 [] "[""https://github.com/kristineaajuhl/spatio_temporal_generative_cardiac_model.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatiotemporal Representation Learning for Short and Long Medical Image Time Series | MICCAI 2024 - Open Access MICCAI 2024 930e654ab1e6d2d7 [] "[""https://github.com/Leooo-Shen/tvrl""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SpeChrOmics: A Biomarker Characterization Framework for Medical Hyperspectral Imaging | MICCAI 2024 - Open Access MICCAI 2024 58fb5ae230e331c1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spot the Difference: Difference Visual Question Answering with Residual Alignment | MICCAI 2024 - Open Access MICCAI 2024 cb7dfa29f318e2f8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging | MICCAI 2024 - Open Access MICCAI 2024 349862eb59f0bc42 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 4850a46b55350d9b [] "[""https://github.com/JayParanjape/SVDSAM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +S-SYNTH: Knowledge-Based Synthetic Generation of Skin Images | MICCAI 2024 - Open Access MICCAI 2024 9e9034f581da48ce [] "[""https://github.com/DIDSR/ssynth-release""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process | MICCAI 2024 - Open Access MICCAI 2024 09f43af4a0fdc4f0 [] "[""https://github.com/lin-tianyu/Stable-Diffusion-Seg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +STAN-LOC: Visual Query-based Video Clip Localization for Fetal Ultrasound Sweep Videos | MICCAI 2024 - Open Access MICCAI 2024 1383f94cf2f653cc [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing | MICCAI 2024 - Open Access MICCAI 2024 03a348680b95956e [] "[""https://github.com/CUHK-AIM-Group/FedCB""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +StereoDiffusion: Temporally Consistent Stereo Depth Estimation with Diffusion Models | MICCAI 2024 - Open Access MICCAI 2024 bbd520f90b0dff07 [] "[""https://github.com/xuhaozheng/StereoDiff""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stochastic Anomaly Simulation for Maxilla Completion from Cone-Beam Computed Tomography | MICCAI 2024 - Open Access MICCAI 2024 3183487ca047641e [] "[""https://github.com/Code-11342/SAS-Restorer.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 ba9882ab96ba1c12 [] "[""https://github.com/WUTCM-Lab/Shape-Prior-Semi-Seg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis | MICCAI 2024 - Open Access MICCAI 2024 116f7fc988d50d6a [] "[""https://github.com/HieuPhan33/MICCAI2024-UNest""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation | MICCAI 2024 - Open Access MICCAI 2024 7564db14444416f1 [] "[""https://github.com/mk-runner/SEI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Structure-preserving Image Translation for Depth Estimation in Colonoscopy | MICCAI 2024 - Open Access MICCAI 2024 410819c3a37c06d5 [] "[""github.com/sherry97/struct-preserving-cyclegan""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy | MICCAI 2024 - Open Access MICCAI 2024 c9dd2994abbcc844 [] "[""https://github.com/paulkogni/SG-RCPS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification | MICCAI 2024 - Open Access MICCAI 2024 7d8582c64d737753 [] "[""https://github.com/SionAn/MICCAI2024-ResTL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion | MICCAI 2024 - Open Access MICCAI 2024 3e7b608f5d371b53 [] "[""https://github.com/AustinTapp/SFnet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt | MICCAI 2024 - Open Access MICCAI 2024 d123855e2de4b1d8 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Surface-based and Shape-informed U-fiber Atlasing for Robust Superficial White Matter Connectivity Analysis | MICCAI 2024 - Open Access MICCAI 2024 d140f7d653df5ea7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition | MICCAI 2024 - Open Access MICCAI 2024 625ee0e809a209e7 [] "[""https://github.com/isyangshu/Surgformer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction | MICCAI 2024 - Open Access MICCAI 2024 2ebb32e83e969f8f [] "[""https://surgicalgaussian.github.io/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Survival analysis of histopathological image based on a pretrained hypergraph model of spatial transcriptomics data | MICCAI 2024 - Open Access MICCAI 2024 409f53cec826851f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast | MICCAI 2024 - Open Access MICCAI 2024 9080ed6c3574accc [] "[""https://github.com/numanai/SurvRNC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 8bda3dc9bef0ded1 [] "[""https://github.com/MI2DataLab/SwinSMT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining | MICCAI 2024 - Open Access MICCAI 2024 d6afb759d56cb50f [] "[""https://github.com/JiarunLiu/Swin-UMamba""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis | MICCAI 2024 - Open Access MICCAI 2024 4b57a8f64768dffe [] "[""https://github.com/bitMyron/sa-swin""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Symptom Disentanglement in Chest X-ray Images for Fine-Grained Progression Learning | MICCAI 2024 - Open Access MICCAI 2024 6d961991fa24c24e [] "[""https://github.com/zhuye98/SDPL.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SynCellFactory: Generative Data Augmentation for Cell Tracking | MICCAI 2024 - Open Access MICCAI 2024 ce2301c67349cebf [] "[""https://github.com/sciai-lab/SynCellFactory""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-contrast CT | MICCAI 2024 - Open Access MICCAI 2024 026ad1bf922bf8b3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing | MICCAI 2024 - Open Access MICCAI 2024 5f9256310e6f5531 [] "[""https://github.com/SanoScience/TabMixer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tackling Data Heterogeneity in Federated Learning via Loss Decomposition | MICCAI 2024 - Open Access MICCAI 2024 2dff3e84a36586ce [] "[""https://github.com/Zeng-Shuang/FedLD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI | MICCAI 2024 - Open Access MICCAI 2024 169c6c101049e17b [] "[""https://github.com/MattiaLitrico/TADM-Temporally-Aware-Diffusion-Model-for-Neurodegenerative-Progression-on-Brain-MRI""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion | MICCAI 2024 - Open Access MICCAI 2024 c989d08eb02cd1ba [] "[""https://github.com/xintian-99/TaGAT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer | MICCAI 2024 - Open Access MICCAI 2024 938f4e68ada0bce0 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tail-Enhanced Representation Learning for Surgical Triplet Recognition | MICCAI 2024 - Open Access MICCAI 2024 6b3fce2f621f2361 [] "[""https://github.com/CIAM-Group/ComputerVision_Codes/tree/main/TERL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification | MICCAI 2024 - Open Access MICCAI 2024 a84ba01cb100c216 [] "[""https://github.com/BearCleverProud/TAKT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TAPoseNet: Teeth Alignment based on Pose estimation via multi-scale Graph Convolutional Network | MICCAI 2024 - Open Access MICCAI 2024 4d1e769d2de0601d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI | MICCAI 2024 - Open Access MICCAI 2024 90d60e7cf7dfab41 [] "[""https://github.com/WENXUYUN/TARDRL/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs | MICCAI 2024 - Open Access MICCAI 2024 b80b67e37209a7fc [] "[""https://github.com/ShanghaiTech-IMPACT/TeethDreamer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TeleOR: Real-time Telemedicine System for Full-Scene Operating Room | MICCAI 2024 - Open Access MICCAI 2024 9e4318d1e0390a47 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Temporal Neighboring Multi-Modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction | MICCAI 2024 - Open Access MICCAI 2024 92c91c8881710736 [] "[""https://github.com/LyapunovStability/TNformer-MP.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimerâ_x0080__x0099_s Disease Progression Analysis | MICCAI 2024 - Open Access MICCAI 2024 2f87130c0599e1e5 [] "[""https://github.com/jacob-thrasher/TE-SSL""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 94725efcc88ec206 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TextPolyp: Point-supervised Polyp Segmentation with Text Cues | MICCAI 2024 - Open Access MICCAI 2024 d6741492ee98c9af [] "[""https://github.com/taozh2017/TextPolyp""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Textual Inversion and Self-supervised Refinement for Radiology Report Generation | MICCAI 2024 - Open Access MICCAI 2024 9f5fccea08c3667b [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy | MICCAI 2024 - Open Access MICCAI 2024 9b478c9fbb9033ec [] "[""https://github.com/cesaracebes/centerline_CE""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The MRI Scanner as a Diagnostic: Image-less Active Sampling | MICCAI 2024 - Open Access MICCAI 2024 cc4dbbf98160ac1b [] "[""https://github.com/vios-s/MRI_Active_Sampling""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +This actually looks like that: Proto-BagNets for local and global interpretability-by-design | MICCAI 2024 - Open Access MICCAI 2024 f51d573171733d79 [] "[""https://github.com/kdjoumessi/Proto-BagNets""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies | MICCAI 2024 - Open Access MICCAI 2024 1169b35c53153458 [] "[""https://github.com/ashwath-radha/ThyGraph""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TinyU-Net: Lighter yet Better U-Net with Cascaded Multi-Receptive Fields | MICCAI 2024 - Open Access MICCAI 2024 9083e259c4aa51d4 [] "[""https://github.com/ChenJunren-Lab/TinyU-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TLRN: Temporal Latent Residual Networks For Large Deformation Image Registration | MICCAI 2024 - Open Access MICCAI 2024 ab29999f1fdb866d [] "[""https://github.com/nellie689/TLRN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Topological Cycle Graph Attention Network for Brain Functional Connectivity | MICCAI 2024 - Open Access MICCAI 2024 ed028fa006d9181d [] "[""https://github.com/JH-415/CycGAT""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images | MICCAI 2024 - Open Access MICCAI 2024 c5ca7d766947a3b6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Topological SLAM in colonoscopies leveraging deep features and topological priors | MICCAI 2024 - Open Access MICCAI 2024 6246bafe3da97278 [] "[""https://github.com/endomapper/ColonSLAM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Topologically faithful multi-class segmentation in medical images | MICCAI 2024 - Open Access MICCAI 2024 735092b2e4f91647 [] "[""https://github.com/AlexanderHBerger/multiclass-BettiMatching""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning | MICCAI 2024 - Open Access MICCAI 2024 2fe5b32c046e2646 [] "[""https://github.com/xzluo97/Continual-Reg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development | MICCAI 2024 - Open Access MICCAI 2024 6cd0f8102ab323fe [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards a Deeper insight into Face Detection in Neonatal wards | MICCAI 2024 - Open Access MICCAI 2024 a468acd191b9d710 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards a text-based quantitative and explainable histopathology image analysis | MICCAI 2024 - Open Access MICCAI 2024 303444e579ea0b41 [] "[""https://github.com/anhtienng/TQx""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Explainable Automated Neuroanatomy | MICCAI 2024 - Open Access MICCAI 2024 70b2e29dba5fa30f [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 57bd1669ec279d30 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow | MICCAI 2024 - Open Access MICCAI 2024 d56be6fec6cdb540 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models | MICCAI 2024 - Open Access MICCAI 2024 a605b92053d37811 [] "[""https://github.com/RichardObi/frd-score""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound | MICCAI 2024 - Open Access MICCAI 2024 42e50c8feb77b942 [] "[""https://github.com/2313595986/SmileCode""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss | MICCAI 2024 - Open Access MICCAI 2024 7428ccb75abfcc77 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal | MICCAI 2024 - Open Access MICCAI 2024 db2cfa1f35a16de2 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards realistic needle insertion training simulator using partitioned model order reduction | MICCAI 2024 - Open Access MICCAI 2024 84b8645982e2a982 [] "[""https://github.com/SofaDefrost/ModelOrderReduction""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery | MICCAI 2024 - Open Access MICCAI 2024 a74d8980b72b42d1 [] "[""https://github.com/CAMMA-public/Lupin/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards tDCS Digital Twins using Deep Learning-based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI | MICCAI 2024 - Open Access MICCAI 2024 7603a3e3ddd368f7 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM | MICCAI 2024 - Open Access MICCAI 2024 5958305593a0d3e2 [] "[""https://github.com/wxliii/TP-DRSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TractOracle: towards an anatomically-informed reward function for RL-based tractography | MICCAI 2024 - Open Access MICCAI 2024 3f10ae181f3c2766 [] "[""https://github.com/scil-vital/TrackToLearn""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Training ViT with Limited Data for Alzheimerâ_x0080__x0099_s Disease Classification: an Empirical Study | MICCAI 2024 - Open Access MICCAI 2024 c045359f6e240d73 [] "[""https://github.com/qasymjomart/ViT_recipe_for_AD""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram Synthesis | MICCAI 2024 - Open Access MICCAI 2024 a2d2712f9cd241f2 [] "[""https://github.com/gungui98/echo-free""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency | MICCAI 2024 - Open Access MICCAI 2024 3a552ae5c4e2d979 [] "[""https://github.com/charliebudd/transferring-relative-monocular-depth-to-surgical-vision""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics | MICCAI 2024 - Open Access MICCAI 2024 6fc3e087c3d9a0ae [] "[""https://github.com/seanxuu/EmbodiedUS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Trans-Window Panoramic Impasto for Online Tissue Deformation Recovery | MICCAI 2024 - Open Access MICCAI 2024 b45078b541f952f7 [] "[""https://github.com/bmpelab/trans_window_panoramic_impasto.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking | MICCAI 2024 - Open Access MICCAI 2024 1d87373880581ae4 [] "[""https://github.com/RomStriker/Trexplorer""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms | MICCAI 2024 - Open Access MICCAI 2024 e7a9577a3a7868b0 [] "[""https://github.com/RascalGdd/TriTemp-OR""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields | MICCAI 2024 - Open Access MICCAI 2024 3ada70b8faefa7e3 [] "[""https://github.com/sfu-mial/TreeDiffusion""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images | MICCAI 2024 - Open Access MICCAI 2024 35f4aca81acc379b [] "[""https://github.com/xmed-lab/TP-Mamba""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation | MICCAI 2024 - Open Access MICCAI 2024 65396d540ce31c88 [] "[""https://github.com/jwhgdeu/TSBP""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Two Projections Suffice for Cerebral Vascular Reconstruction | MICCAI 2024 - Open Access MICCAI 2024 27cf3a1c1863b0b8 [] "[""https://github.com/Wapity/3DBrainXVascular""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation | MICCAI 2024 - Open Access MICCAI 2024 ec9a2dce31eb303d [] "[""https://www.humanconnectome.org/study/lifespan-baby-connectome-project""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models | MICCAI 2024 - Open Access MICCAI 2024 1ec8bc4dc1f1d144 [] "[""https://github.com/MedAITech/U_I2V""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image Synthesis | MICCAI 2024 - Open Access MICCAI 2024 577d7dbec7de3127 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty-aware meta-weighted optimization framework for domain-generalized medical image segmentation | MICCAI 2024 - Open Access MICCAI 2024 70ed7e85c8bc1b1d [] "[""https://github.com/Seokhwan-Oh/MLSW""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty-Aware Multi-View Learning for Prostate Cancer Grading with DWI | MICCAI 2024 - Open Access MICCAI 2024 6ff527ccc7258647 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncovering Cortical Pathways of Prion-like Pathology Spreading in Alzheimerâ_x0080__x0099_s Disease by Neural Optimal Mass Transport | MICCAI 2024 - Open Access MICCAI 2024 62e8f5da40f5f02d [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling | MICCAI 2024 - Open Access MICCAI 2024 34c2d65deef70b7a [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unified Multi-Modal Learning for Any Modality Combinations in Alzheimerâ_x0080__x0099_s Disease Diagnosis | MICCAI 2024 - Open Access MICCAI 2024 1ea15ab12b9f41a3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information | MICCAI 2024 - Open Access MICCAI 2024 0419b3a9500b4128 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +uniGradICON: A Foundation Model for Medical Image Registration | MICCAI 2024 - Open Access MICCAI 2024 bd545fcb29cc6fe9 [] "[""https://github.com/uncbiag/uniGradICON""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Universal Semi-Supervised Learning for Medical Image Classification | MICCAI 2024 - Open Access MICCAI 2024 ed20f9a67d045600 [] "[""https://github.com/PyJulie/USSL4MIC""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis | MICCAI 2024 - Open Access MICCAI 2024 5853eaddf8173fec [] "[""https://github.com/smilell/Universal-Topology-Refinement""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 cd5eec9ca6402e09 [] "[""https://github.com/MingxuanGu/Soft-Labeled-Contrastive-Learning""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Latent Stain Adaptation for Computational Pathology | MICCAI 2024 - Open Access MICCAI 2024 9d8aa81051f0dfb4 [] "[""https://atlas.kpmp.org""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Training of Neural Cellular Automata on Edge Devices | MICCAI 2024 - Open Access MICCAI 2024 084818300e3748e7 [] "[""https://github.com/MECLabTUDA/M3D-NCA""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning | MICCAI 2024 - Open Access MICCAI 2024 77453f5d3a4a02e1 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction | MICCAI 2024 - Open Access MICCAI 2024 cb98663e95582195 [] "[""https://github.com/Ishak96/UnWave-Net""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +URCDM: Ultra-Resolution Image Synthesis in Histopathology | MICCAI 2024 - Open Access MICCAI 2024 5023959f31df79f5 [] "[""https://github.com/scechnicka/URCDM""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling | MICCAI 2024 - Open Access MICCAI 2024 e23d9ced6633a950 [] "[""https://github.com/yukkai/UrFound""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment | MICCAI 2024 - Open Access MICCAI 2024 43e6c0b74fa2dc40 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +VCLIPSeg: Voxel-wise CLIP-Enhanced model for Semi-Supervised Medical Image Segmentation | MICCAI 2024 - Open Access MICCAI 2024 369aef6a8f4622ae [] "[""https://www.cardiacatlas.org/atriaseg2018-challenge/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network | MICCAI 2024 - Open Access MICCAI 2024 f5d15174d9b2b3fe [] "[""https://github.com/xiextong/VDPF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vertex Proportion Loss for Multi-Class Cell Detection from Label Proportions | MICCAI 2024 - Open Access MICCAI 2024 33f7193d946a3444 [] "[""https://github.com/carolina-pacheco/LLP_multiclass_cell_detection/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models | MICCAI 2024 - Open Access MICCAI 2024 87060a2f01f2198c [] "[""https://github.com/inhaowu/VertFound""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vessel-aware aneurysm detection using multi-scale deformable 3D attention | MICCAI 2024 - Open Access MICCAI 2024 dd49b975e0fb2ca5 [] "[""https://github.com/alceballosa/deform-aneurysm-detection""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vestibular schwannoma growth prediction from longitudinal MRI by time-conditioned neural fields | MICCAI 2024 - Open Access MICCAI 2024 27d56f5a4f272ed9 [] "[""https://github.com/cyjdswx/DeepGrowth""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios | MICCAI 2024 - Open Access MICCAI 2024 9308c4177b1d242d [] "[""https://github.com/AINeurosurgery/VideoCutMix""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction | MICCAI 2024 - Open Access MICCAI 2024 63515caaf5b218ee [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Visual-Textual Matching Attention for Lesion Segmentation in Chest Images | MICCAI 2024 - Open Access MICCAI 2024 21c55e798765929a [] "[""https://github.com/nguyenpbui/MMI-UNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks | MICCAI 2024 - Open Access MICCAI 2024 6c47876fef9e9e10 [] "[""https://github.com/naamiinepal/vlsm-adapter""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +VolumeNeRF: CT Volume Reconstruction from a Single Projection View | MICCAI 2024 - Open Access MICCAI 2024 a044d70a307fd4f4 [] "[""https://www.github.com/Aurora132/VolumeNeRF""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics | MICCAI 2024 - Open Access MICCAI 2024 5ed07a696d51421f [] "[""https://github.com/ngcaonghi/scaffold_noise""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising | MICCAI 2024 - Open Access MICCAI 2024 cf6ff78fddf62dee [] "[""https://github.com/siyeopyoon/Residual-Diffusion-Model-for-PET-MR-Denoising""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Voxel Scene Graph for Intracranial Hemorrhage | MICCAI 2024 - Open Access MICCAI 2024 788b77411c882bfa [] "[""https://github.com/MECLabTUDA/VoxelSceneGraph""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations | MICCAI 2024 - Open Access MICCAI 2024 36615f16af1003c9 [] "[""https://github.com/m-qiang/CoSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-Label Learning | MICCAI 2024 - Open Access MICCAI 2024 7cf1eab3ad4ae801 [] "[""https://github.com/ladderlab-xjtu/WS-TIS""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly-supervised Medical Image Segmentation with Gaze Annotations | MICCAI 2024 - Open Access MICCAI 2024 eaa26acb983b152a [] "[""https://github.com/med-air/GazeMedSeg""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weak-supervised Attention Fusion Network for Carotid Artery Vessel Wall Segmentation | MICCAI 2024 - Open Access MICCAI 2024 1cd9bfe272240bf6 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels | MICCAI 2024 - Open Access MICCAI 2024 87c264dca4f1452b [] "[""https://github.com/CUHK-AIM-Group/SAMTooth""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation | MICCAI 2024 - Open Access MICCAI 2024 4c2816916d8d101f [] "[""https://github.com/XiZhu-UE/Diffusion-model-meet-dMRI.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images | MICCAI 2024 - Open Access MICCAI 2024 070e066da0b05703 [] "[""https://github.com/Yundi-Zhang/WholeHeartRL.git""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising | MICCAI 2024 - Open Access MICCAI 2024 991cc08df1f05e73 [] "[""https://github.com/zhaohaoyu376/WI-LD2ND""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration | MICCAI 2024 - Open Access MICCAI 2024 c9ebd67bb1a16338 [] "[""https://github.com/x-xc/WiNet""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images | MICCAI 2024 - Open Access MICCAI 2024 e371d6e2f70747eb [] "[""https://github.com/cpystan/Wsi-Caption/tree/master""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI | MICCAI 2024 - Open Access MICCAI 2024 a7c7b2a298d705a0 [] "[""https://github.com/xuepengcheng1231/WSSADN""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-ray Angiography | MICCAI 2024 - Open Access MICCAI 2024 be09af2ad203aa95 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization | MICCAI 2024 - Open Access MICCAI 2024 444b6a9429d977de [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +XTranPrune: eXplainability-aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification | MICCAI 2024 - Open Access MICCAI 2024 9dd23d98d0fc9a3a [] "[""https://github.com/AliGhadirii/XTranPrune""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation | MICCAI 2024 - Open Access MICCAI 2024 7c6b592787515ec3 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Zoom Pattern Signatures for Fetal Ultrasound Structures | MICCAI 2024 - Open Access MICCAI 2024 c42ff18488277cd9 [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Size-constraint loss for weakly supervised CNN segmentation MIDL 2018 https://openreview.net/pdf?id=BkIBHb2sG a195f7e7c5223b33 data/papers/a195f7e7c5223b33.pdf data/papers/a195f7e7c5223b33.xml [] "[""https://github.com/LIVIAETS/SizeLoss_WSS""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": NaN, ""readme"": ""Yes"", ""license"": ""No""}" {} +Deep Multi-Class Segmentation Without Ground-Truth Labels MIDL 2018 https://openreview.net/pdf?id=S11Xr-3iM eff51526a54bc056 data/papers/eff51526a54bc056.pdf data/papers/eff51526a54bc056.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluating Reinforcement Learning Agents for Anatomical Landmark Detection MIDL 2018 https://openreview.net/pdf?id=SyQK4-nsz 543b35984cd21c39 data/papers/543b35984cd21c39.pdf data/papers/543b35984cd21c39.xml [] "[""https://github.com/amiralansary/rl-medical""]" "{""public"": ""No"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""Apache 2.0""}" {} +Stacked Bidirectional Convolutional LSTMs for 3D Non-contrast CT Reconstruction from Spatiotemporal 4D CT MIDL 2018 https://openreview.net/pdf?id=SkHVVZniz 86a1e43622b9e38a data/papers/86a1e43622b9e38a.pdf data/papers/86a1e43622b9e38a.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust training of recurrent neural networks to handle missing data for disease progression modeling MIDL 2018 https://openreview.net/pdf?id=S1jqMb2oM 5b15d9df0997973a data/papers/5b15d9df0997973a.pdf data/papers/5b15d9df0997973a.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Capsules for Object Segmentation MIDL 2018 https://openreview.net/pdf?id=B1L4Gb3sf c240bb5d23b05b84 data/papers/c240bb5d23b05b84.pdf data/papers/c240bb5d23b05b84.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Temporal Interpolation via Motion Field Prediction MIDL 2018 https://openreview.net/pdf?id=HkgCl-3if a7ec937637680759 data/papers/a7ec937637680759.pdf data/papers/a7ec937637680759.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Iterative fully convolutional neural networks for automatic vertebra segmentation MIDL 2018 https://openreview.net/pdf?id=S1NnlZnjG 9790760ca4f31f26 data/papers/9790760ca4f31f26.pdf data/papers/9790760ca4f31f26.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative MIDL 2018 https://openreview.net/pdf?id=SJ_-Nx3jz 09d00cb94d46ec70 data/papers/09d00cb94d46ec70.pdf data/papers/09d00cb94d46ec70.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Recurrent Inference Machines for Accelerated MRI Reconstruction MIDL 2018 https://openreview.net/pdf?id=rJD6Xgnoz b7cceb2f68b75fbc data/papers/b7cceb2f68b75fbc.pdf data/papers/b7cceb2f68b75fbc.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Learning for Whole Slide Lung Cancer Image Classification MIDL 2018 https://openreview.net/pdf?id=SJwod1hjz 92f16a131c39aef0 data/papers/92f16a131c39aef0.pdf data/papers/92f16a131c39aef0.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Deep Neural Networks MIDL 2018 https://openreview.net/pdf?id=rJZz-knjz 45a2e51fd85b2198 data/papers/45a2e51fd85b2198.pdf data/papers/45a2e51fd85b2198.xml [] "[""https://github.com/berenslab/ttaug-midl2018""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": NaN, ""readme"": ""No"", ""license"": ""GPL 3.0""}" {} +Convolutional neural networks for mesh-based parcellation of the cerebral cortex MIDL 2018 https://openreview.net/pdf?id=rkKvBAiiz c58fa0951c2ec430 data/papers/c58fa0951c2ec430.pdf data/papers/c58fa0951c2ec430.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer Metastasis Detection With Neural Conditional Random Field MIDL 2018 https://openreview.net/pdf?id=S1aY66iiM 8ea45f113d3db1bd data/papers/8ea45f113d3db1bd.pdf data/papers/8ea45f113d3db1bd.xml [] "[""https://github.com/baidu-research/NCRF""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""Apache 2.0""}" {} +Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: application to epilepsy lesion screening MIDL 2018 https://openreview.net/pdf?id=rk5UYassf dc3a51d85c1d3a02 data/papers/dc3a51d85c1d3a02.pdf data/papers/dc3a51d85c1d3a02.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy MIDL 2018 https://openreview.net/pdf?id=BktMD6isM e407787a2255c966 data/papers/e407787a2255c966.pdf data/papers/e407787a2255c966.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images MIDL 2018 https://openreview.net/pdf?id=rJgE13soM 4af805b2f38d6699 data/papers/4af805b2f38d6699.pdf 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- One Kernel to Solve Nearly Everything: Unified 3D Binary Convolutions for Image Analysis MIDL 2018 https://openreview.net/pdf?id=BkZu9wooz f2e0db43e8883ed0 data/papers/f2e0db43e8883ed0.pdf data/papers/f2e0db43e8883ed0.xml [] "[""https://github.com/mattiaspaul/OBELISK""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Uncertainty quantification using Bayesian neural networks in classification: Application to ischemic stroke lesion segmentation MIDL 2018 https://openreview.net/pdf?id=Sk_P2Q9sG ac73d9fff6368d5d data/papers/ac73d9fff6368d5d.pdf data/papers/ac73d9fff6368d5d.xml [] "[""https://github.com/ykwon0407/UQ_BNN/tree/master/ischemic""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Predictive Image Regression for Longitudinal Studies with Missing Data MIDL 2018 https://openreview.net/pdf?id=BJPMK-3jM 63e116c51277de1b data/papers/63e116c51277de1b.pdf data/papers/63e116c51277de1b.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders MIDL 2018 https://openreview.net/pdf?id=H1nGLZ2oG fafc2265405a21ad data/papers/fafc2265405a21ad.pdf data/papers/fafc2265405a21ad.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Brain MRI super-resolution using 3D generative adversarial networks MIDL 2018 https://openreview.net/pdf?id=rJevSbniM 21a8133d631082cd data/papers/21a8133d631082cd.pdf data/papers/21a8133d631082cd.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs MIDL 2018 https://openreview.net/pdf?id=B1AxE-njf 9a72ece8e61305e0 data/papers/9a72ece8e61305e0.pdf data/papers/9a72ece8e61305e0.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attention-Gated Networks for Improving Ultrasound Scan Plane Detection MIDL 2018 https://openreview.net/pdf?id=BJtn7-3sM 76c7fc21a56d60ae data/papers/76c7fc21a56d60ae.pdf data/papers/76c7fc21a56d60ae.xml [] "[""https://github.com/ozan-oktay/Attention-Gated-Networks""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""MIT""}" {} +Cascaded Transforming Multi-task Networks For Abdominal Biometric Estimation from Ultrasound MIDL 2018 https://openreview.net/pdf?id=r1ZGQW2if 998626c9370404b3 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artifact affected structural MRI images using deep learning of simulated motion MIDL 2018 https://openreview.net/pdf?id=H1hWfZnjM ebdbb0dc80196ec0 data/papers/ebdbb0dc80196ec0.pdf data/papers/ebdbb0dc80196ec0.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CNN-based Landmark Detection in Cardiac CTA Scans MIDL 2018 https://openreview.net/pdf?id=r1malb3jz d61a8d622aa7793c data/papers/d61a8d622aa7793c.pdf data/papers/d61a8d622aa7793c.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI MIDL 2018 https://openreview.net/pdf?id=B1V7k-2sz a706c08225efc2f1 data/papers/a706c08225efc2f1.pdf data/papers/a706c08225efc2f1.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, 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""Yes"", ""readme"": ""Yes"", ""license"": ""Apache 2.0""}" {} +MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs MIDL 2018 https://openreview.net/pdf?id=r1Q98pjiG ad924aa13f0a9bc5 data/papers/ad924aa13f0a9bc5.pdf data/papers/ad924aa13f0a9bc5.xml [] "[""https://stanfordmlgroup.github.io/competitions/mura/""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": ""Yes"", ""license"": ""Custom""}" {} +Automatic multi-organ segmentation in dual energy CT using 3D fully convolutional network MIDL 2018 https://openreview.net/pdf?id=SJhfv3ijz cc2a1616f6b84f59 data/papers/cc2a1616f6b84f59.pdf data/papers/cc2a1616f6b84f59.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Convolutional Neural Networks for Lymphocyte detection in Immunohistochemically Stained Whole-Slide Images MIDL 2018 https://openreview.net/pdf?id=rk0xLisiM fb2146d21c53e9f5 data/papers/fb2146d21c53e9f5.pdf data/papers/fb2146d21c53e9f5.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Blood Vessel Geometry Synthesis using Generative Adversarial Networks MIDL 2018 https://openreview.net/pdf?id=SJ4N7isiG ad47102ad3965150 data/papers/ad47102ad3965150.pdf data/papers/ad47102ad3965150.xml [] "[""http://qia.isi.uu.nl/blood-vessel-geometry-synthesis-using-generative-adversarial-networks/""]" "{""public"": ""No"", ""dependencies"": ""No"", ""training"": ""No"", ""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy MIDL 2018 https://openreview.net/pdf?id=r1t-DYooM 9ef0b197fad17371 data/papers/9ef0b197fad17371.pdf data/papers/9ef0b197fad17371.xml [] "[""https://github.com/deepmedic/deepmedic""]" "{""public"": ""No"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""BSD 3""}" {} +Predicting Lesion Growth and Patient Survival in Colorectal Cancer Patients using Deep Neural Networks MIDL 2018 https://openreview.net/pdf?id=B1e_uuoif 1da7ae1184ffa770 data/papers/1da7ae1184ffa770.pdf data/papers/1da7ae1184ffa770.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Motion Estimation in Coronary CT Angiography Images using Convolutional Neural Networks MIDL 2018 https://openreview.net/pdf?id=HkBtaBjoz 8eb2d7b0e464ea58 data/papers/8eb2d7b0e464ea58.pdf data/papers/8eb2d7b0e464ea58.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Deep Cellular Phenotyping in Placental Histology MIDL 2018 https://openreview.net/pdf?id=HJq5OGKsz 5f4ee701bf47a441 data/papers/5f4ee701bf47a441.pdf data/papers/5f4ee701bf47a441.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic catheter detection in pediatric X-ray images using a scale-recurrent network and synthetic data MIDL 2018 https://openreview.net/pdf?id=By47mM_oG e8152303f29ebc5a data/papers/e8152303f29ebc5a.pdf data/papers/e8152303f29ebc5a.xml [] "[""https://github.com/xinario/catheter_detection""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""No""}" {} +RadBot-CXR: Classification of Four Clinical Finding Categories in Chest X-Ray Using Deep Learning MIDL 2018 https://openreview.net/pdf?id=B1tMhcIDM c06a42d383da9bb0 data/papers/c06a42d383da9bb0.pdf 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MIDL 2019 https://openreview.net/pdf?id=H1gXZLzxeE 5e0e60c3a9416654 data/papers/5e0e60c3a9416654.pdf data/papers/5e0e60c3a9416654.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation. MIDL 2019 https://openreview.net/pdf?id=H1gLLOgxeE 3e810ef7ab43f8f6 data/papers/3e810ef7ab43f8f6.pdf data/papers/3e810ef7ab43f8f6.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Interpretable Multi-modal Features for Alignment With Supervised Iterative Descent. MIDL 2019 https://openreview.net/pdf?id=SkeI0-QelE 6d4a6e87c857441b data/papers/6d4a6e87c857441b.pdf data/papers/6d4a6e87c857441b.xml [] "[""https://github.com/multimodallearning/midl19_suits""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""No"", ""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +3D Multirater RCNN for Multimodal Multiclass Detection and Characterisation of Extremely Small Objects. MIDL 2019 https://openreview.net/pdf?id=BJlXpDh1gV 071422b56b6b3111 data/papers/071422b56b6b3111.pdf data/papers/071422b56b6b3111.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exclusive Independent Probability Estimation Using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation. MIDL 2019 https://openreview.net/pdf?id=Byg-krBi14 c276339641afe1af data/papers/c276339641afe1af.pdf data/papers/c276339641afe1af.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Boundary Loss for Highly Unbalanced Segmentation. MIDL 2019 https://openreview.net/pdf?id=S1gTA5VggE 9d7920c082d07dc1 data/papers/9d7920c082d07dc1.pdf data/papers/9d7920c082d07dc1.xml [] "[""https://github.com/LIVIAETS/boundary-loss""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": NaN, ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Learning With Multitask Adversaries Using Weakly Labelled Data for Semantic Segmentation in Retinal Images. MIDL 2019 https://openreview.net/pdf?id=HJe6f0BexN 4161c065eed34800 data/papers/4161c065eed34800.pdf data/papers/4161c065eed34800.xml [] "[""https://github.com/oindrilasaha/multitask-retinal-segmentation""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""No"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Image Synthesis With a Convolutional Capsule Generative Adversarial Network. MIDL 2019 https://openreview.net/pdf?id=rJen0zC1lE b4e019e284d3d278 data/papers/b4e019e284d3d278.pdf data/papers/b4e019e284d3d278.xml [] "[""https://github.com/CherBass/CapsPix2Pix""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Learning Joint Lesion and Tissue Segmentation From Task-specific Hetero-modal Datasets. MIDL 2019 https://openreview.net/pdf?id=HJeZW_QxxN 288da10d2db37c60 data/papers/288da10d2db37c60.pdf data/papers/288da10d2db37c60.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmenting Potentially Cancerous Areas in Prostate Biopsies Using Semi-Automatically Annotated Data. MIDL 2019 https://openreview.net/pdf?id=SJxVA7xleE 12856cd68ded4e00 data/papers/12856cd68ded4e00.pdf data/papers/12856cd68ded4e00.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Lesion Detection Via Image Restoration With a Normative Prior. MIDL 2019 https://openreview.net/pdf?id=S1xg4W-leV fc3554fb14da2f1a data/papers/fc3554fb14da2f1a.pdf data/papers/fc3554fb14da2f1a.xml [] "[""https://github.com/yousuhang/Unsupervised-Lesion-Detection-via-Image-Restoration-with-a-Normative-Prior""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Dynamic Pacemaker Artifact Removal (DyPAR) From CT Data Using CNNs. MIDL 2019 https://openreview.net/pdf?id=rkx5InjA1N 1d1d0c719cc8c7a8 data/papers/1d1d0c719cc8c7a8.pdf data/papers/1d1d0c719cc8c7a8.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization. MIDL 2019 https://openreview.net/pdf?id=H1gMYCQxg4 14470a8d11fe33d9 data/papers/14470a8d11fe33d9.pdf data/papers/14470a8d11fe33d9.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology. MIDL 2019 https://openreview.net/pdf?id=BkxJkgSlx4 cc744a330e339fcb data/papers/cc744a330e339fcb.pdf data/papers/cc744a330e339fcb.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Hybrid, Dual Domain, Cascade of Convolutional Neural Networks for Magnetic Resonance Image Reconstruction. MIDL 2019 https://openreview.net/pdf?id=HJeJx4XxlN 1a00ccc61f2af0bc data/papers/1a00ccc61f2af0bc.pdf data/papers/1a00ccc61f2af0bc.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dynamic MRI Reconstruction With Motion-Guided Network. MIDL 2019 https://openreview.net/pdf?id=Bke-CJtel4 03f037e875ac8bff data/papers/03f037e875ac8bff.pdf data/papers/03f037e875ac8bff.xml [] "[""https://github.com/rmsouza01/CD-Deep-Cascade-MR-Reconstruction""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +Deep Hierarchical Multi-label Classification of Chest X-ray Images. MIDL 2019 https://openreview.net/pdf?id=SJgNCUbke4 431b931ab8cbf9de data/papers/431b931ab8cbf9de.pdf data/papers/431b931ab8cbf9de.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography. MIDL 2019 https://openreview.net/pdf?id=Hkx5C9QeeN a1ea98b16477b66d data/papers/a1ea98b16477b66d.pdf data/papers/a1ea98b16477b66d.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Segmentation Framework for Uveal Melanoma in Magnetic Resonance Imaging Based on Class Activation Maps. MIDL 2019 https://openreview.net/pdf?id=ByldG19Ry4 5f09d2dfe67ab1cf data/papers/5f09d2dfe67ab1cf.pdf data/papers/5f09d2dfe67ab1cf.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AnatomyGen: Deep Anatomy Generation From Dense Representation With Applications in Mandible Synthesis. MIDL 2019 https://openreview.net/pdf?id=BkltUK71xV b2368fbe91285f87 data/papers/b2368fbe91285f87.pdf data/papers/b2368fbe91285f87.xml [] "[""https://github.com/amir-abdi/LandmarksToShape""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""GPL 3.0""}" {} +Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images. MIDL 2019 https://openreview.net/pdf?id=H1x-pmF0JE 989225a1d5625a60 data/papers/989225a1d5625a60.pdf data/papers/989225a1d5625a60.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation. MIDL 2019 https://openreview.net/pdf?id=B1lpb10Ry4 1361e0d3be112c39 data/papers/1361e0d3be112c39.pdf data/papers/1361e0d3be112c39.xml [] "[""https://www.dropbox.com/s/wue67fg9bk5xdxt/evaluationScript.zip""]" "{""public"": ""No"", ""dependencies"": ""No"", ""training"": ""No"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +High-quality Segmentation of Low Quality Cardiac MR Images Using K-space Artefact Correction. MIDL 2019 https://openreview.net/pdf?id=BkgjbQ30yN 77c8b092abf64d79 data/papers/77c8b092abf64d79.pdf data/papers/77c8b092abf64d79.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Capturing Single-Cell Phenotypic Variation Via Unsupervised Representation Learning. MIDL 2019 https://openreview.net/pdf?id=HyxX96_xeN 4ac87a94fc658bef data/papers/4ac87a94fc658bef.pdf data/papers/4ac87a94fc658bef.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MRI K-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty. MIDL 2019 https://openreview.net/pdf?id=ryxqlJzge4 73eb522f8f4b63cd data/papers/73eb522f8f4b63cd.pdf data/papers/73eb522f8f4b63cd.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation. MIDL 2019 https://openreview.net/pdf?id=ryxNhZGlxV e7a75d97c236b635 data/papers/e7a75d97c236b635.pdf data/papers/e7a75d97c236b635.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +VOCA: Cell Nuclei Detection In Histopathology Images By Vector Oriented Confidence Accumulation. MIDL 2019 https://openreview.net/pdf?id=Byg6tbleeE 69e5ec53c88d8c49 data/papers/69e5ec53c88d8c49.pdf data/papers/69e5ec53c88d8c49.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Beamforming in Ultrasound Imaging. MIDL 2019 https://openreview.net/pdf?id=Skxq9YqJg4 47ffb79f11cb74ef data/papers/47ffb79f11cb74ef.pdf data/papers/47ffb79f11cb74ef.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data. MIDL 2019 https://openreview.net/pdf?id=BJxTPziyeE 40a3371374cb1179 data/papers/40a3371374cb1179.pdf data/papers/40a3371374cb1179.xml [] "[""https://github.com/smkia/DNM""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +Assessing Knee OA Severity With CNN Attention-based End-to-end Architectures. MIDL 2019 https://openreview.net/pdf?id=B1epyN8rlV 01add50a4a271137 data/papers/01add50a4a271137.pdf data/papers/01add50a4a271137.xml [] "[""https://github.com/marc-gorriz/KneeOA-CNNAttention""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +Cluster Analysis in Latent Space: Identifying Personalized Aortic Valve Prosthesis Shapes Using Deep Representations. MIDL 2019 https://openreview.net/pdf?id=BJesxFsA1N 54551bf76f949c40 data/papers/54551bf76f949c40.pdf data/papers/54551bf76f949c40.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +On the Spatial and Temporal Influence for the Reconstruction of Magnetic Resonance Fingerprinting. MIDL 2019 https://openreview.net/pdf?id=HyeuSq9ke4 0aea543e3b73205e data/papers/0aea543e3b73205e.pdf data/papers/0aea543e3b73205e.xml [] "[""https://github.com/fabianbalsiger/mrf-reconstruction-midl2019""]" "{""public"": ""No"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Weakly Supervised Deep Nuclei Segmentation Using Points Annotation in Histopathology Images. MIDL 2019 https://openreview.net/pdf?id=H1xkWv8gx4 88ffb5d2ede4eacd data/papers/88ffb5d2ede4eacd.pdf data/papers/88ffb5d2ede4eacd.xml [] "[""https://github.com/huiqu18/WeaklySegPointAnno""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Sparse Structured Prediction for Semantic Edge Detection in Medical Images. MIDL 2019 https://openreview.net/pdf?id=SkxccsWxxE 0410d47b75742312 data/papers/0410d47b75742312.pdf data/papers/0410d47b75742312.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data. MIDL 2019 https://openreview.net/pdf?id=BJl2cMBHlN 3ad32d7ff4f08fac data/papers/3ad32d7ff4f08fac.pdf data/papers/3ad32d7ff4f08fac.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Learning of Brain Lesion and Anatomy Segmentation From Heterogeneous Datasets. MIDL 2019 https://openreview.net/pdf?id=Syest0rxlN 32f9eb3939519324 data/papers/32f9eb3939519324.pdf data/papers/32f9eb3939519324.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Training Deep Networks on Domain Randomized Synthetic X-ray Data for Cardiac Interventions. MIDL 2019 https://openreview.net/pdf?id=rkgHu5GglV 4d96051c268e9095 data/papers/4d96051c268e9095.pdf data/papers/4d96051c268e9095.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning From Sparsely Annotated Data for Semantic Segmentation in Histopathology Images. MIDL 2019 https://openreview.net/pdf?id=SkeBT7BxeV 15eba0d7e2fe1a5f data/papers/15eba0d7e2fe1a5f.pdf data/papers/15eba0d7e2fe1a5f.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Approach to Semantic Segmentation in 3D Point Cloud Intra-oral Scans of Teeth. MIDL 2019 https://openreview.net/pdf?id=ByxLSoblgV f3081e4d1e933fc5 data/papers/f3081e4d1e933fc5.pdf data/papers/f3081e4d1e933fc5.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervisedly Training GANs for Segmenting Digital Pathology With Automatically Generated Annotations. MIDL 2019 https://openreview.net/pdf?id=B1gT9_B81E e882790b6958298f data/papers/e882790b6958298f.pdf data/papers/e882790b6958298f.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Iterative Learning to Make the Most of Unlabeled and Quickly Obtained Labeled Data in Histology. MIDL 2019 https://openreview.net/pdf?id=SklToCZ2J4 e3da4ecef9782ab1 data/papers/e3da4ecef9782ab1.pdf data/papers/e3da4ecef9782ab1.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Digitally Stained Confocal Microscopy Through Deep Learning. MIDL 2019 https://openreview.net/pdf?id=rJxj3vUel4 c0fdcb7e1f611da6 data/papers/c0fdcb7e1f611da6.pdf data/papers/c0fdcb7e1f611da6.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation. MIDL 2019 https://openreview.net/pdf?id=rJxMvRFxeN a19b155dd3366373 data/papers/a19b155dd3366373.pdf data/papers/a19b155dd3366373.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Reinforcement Learning for Subpixel Neural Tracking. MIDL 2019 https://openreview.net/pdf?id=HJxrNvv0JN 17e2ad79a7f4cb44 data/papers/17e2ad79a7f4cb44.pdf data/papers/17e2ad79a7f4cb44.xml [] "[""https://bitbucket.org/bicv/axon_tracking_with_rl/src/master/""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Prediction of Disease Progression in Multiple Sclerosis Patients Using Deep Learning Analysis of MRI Data. MIDL 2019 https://openreview.net/pdf?id=rkliARLel4 049a99e4c2777142 data/papers/049a99e4c2777142.pdf data/papers/049a99e4c2777142.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generative Image Translation for Data Augmentation of Bone Lesion Pathology. MIDL 2019 https://openreview.net/pdf?id=rkxOKaj0yV a9673855856a8a2d data/papers/a9673855856a8a2d.pdf data/papers/a9673855856a8a2d.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transfer Learning by Adaptive Merging of Multiple Models. MIDL 2019 https://openreview.net/pdf?id=rklPRjjlxV 293f6f119573ea19 data/papers/293f6f119573ea19.pdf data/papers/293f6f119573ea19.xml [] "[""https://github.com/cyrusgeyer/TIMM""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""No"", ""weights"": ""Yes"", ""readme"": ""No"", ""license"": ""MIT""}" {} +Adversarial Domain Adaptation for Cell Segmentation MIDL 2020 https://openreview.net/pdf?id=mgvieZlHlv de66aff5215e5c27 data/papers/de66aff5215e5c27.pdf data/papers/de66aff5215e5c27.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain adaptation model for retinopathy detection from cross-domain OCT images MIDL 2020 https://openreview.net/pdf?id=h5z-R09QRm 8736f1caebfdce2a data/papers/8736f1caebfdce2a.pdf data/papers/8736f1caebfdce2a.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": 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with Foveated Pyramid Attention MIDL 2020 https://openreview.net/pdf?id=6oG9zkHVLa 380c3582d83dcb05 data/papers/380c3582d83dcb05.pdf data/papers/380c3582d83dcb05.xml [] "[""https://github.com/logangilmour/FoveatedPyramid""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +Multitask radiological modality invariant landmark localization using deep reinforcement learning MIDL 2020 https://openreview.net/pdf?id=XvBdNAyPCk b4713fb129b0ba43 data/papers/b4713fb129b0ba43.pdf data/papers/b4713fb129b0ba43.xml [] "[""https://github.com/bocchs/MIDRL-2D""]" "{""public"": ""No"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""Apache 2.0""}" {} +Siamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation MIDL 2020 https://openreview.net/pdf?id=VINrwcDkvA 6463f78f7661ef39 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MRI Reconstruction and Tissue Segmentation MIDL 2020 https://openreview.net/pdf?id=sXONwA0ex c97f69710620e7ff data/papers/c97f69710620e7ff.pdf data/papers/c97f69710620e7ff.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone MIDL 2020 https://openreview.net/pdf?id=Ih04Ji3rtN fdef023bc4cf675b data/papers/fdef023bc4cf675b.pdf data/papers/fdef023bc4cf675b.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain MIDL 2020 https://openreview.net/pdf?id=vXX5bovYvi 0d5159c71f212b9e data/papers/0d5159c71f212b9e.pdf data/papers/0d5159c71f212b9e.xml [] 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similarity metrics for learned image registration MIDL 2021 https://openreview.net/pdf?id=9M5cH--UdcC 705d1dedbc29c2cc data/papers/705d1dedbc29c2cc.pdf data/papers/705d1dedbc29c2cc.xml [] "[""https://github.com/SteffenCzolbe/DeepSimRegistration""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations MIDL 2021 https://openreview.net/pdf?id=ud-iBiED9zb 3b76dc810f37c6e5 data/papers/3b76dc810f37c6e5.pdf data/papers/3b76dc810f37c6e5.xml [] "[""https://github.com/Niharika-SD/M-GCN""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +Improving MRI-based Knee Disorder Diagnosis with Pyramidal Feature Details 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""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Guided Filter Regularization for Improved Disentanglement of Shape and Appearance in Diffeomorphic Autoencoders MIDL 2021 https://openreview.net/pdf?id=ILEMHPV_Lc2 c92860eee5a0eeaa data/papers/c92860eee5a0eeaa.pdf data/papers/c92860eee5a0eeaa.xml [] "[""https://github.com/hristina-uzunova/GF_DAE""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""AGPL 3.0""}" {} +HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images MIDL 2021 https://openreview.net/pdf?id=48UgSFrNR2 07b0ad531257401a data/papers/07b0ad531257401a.pdf data/papers/07b0ad531257401a.xml [] "[""https://github.com/SaverioVad/HAD_Net""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": 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""Yes"", ""license"": ""MIT""}" {} +Explainability Guided COVID-19 Detection in CT Scans MIDL 2022 https://openreview.net/pdf?id=KWucjFOxEb2 cb00f201e0455def data/papers/cb00f201e0455def.pdf data/papers/cb00f201e0455def.xml [] "[""https://github.com/AmeenAli/Explainability_COVID19""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Self-Supervised Representation Learning for High-Content Screening MIDL 2022 https://openreview.net/pdf?id=XIofcluPNu 4476bad4185e5ca9 data/papers/4476bad4185e5ca9.pdf data/papers/4476bad4185e5ca9.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards IID representation learning and its application on biomedical data MIDL 2022 https://openreview.net/pdf?id=qKZH_U-tn9P 5c1da9cc08bead90 data/papers/5c1da9cc08bead90.pdf 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""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""MIT""}" {} +KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection MIDL 2022 https://openreview.net/pdf?id=OrNzjERFybh 05dbbec71f75aa4f data/papers/05dbbec71f75aa4f.pdf data/papers/05dbbec71f75aa4f.xml [] "[""https://github.com/evanmy/keymorph""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Inference of captions from histopathological patches MIDL 2022 https://openreview.net/pdf?id=9gKn7SDb83v 20af66cd2cf66fde data/papers/20af66cd2cf66fde.pdf data/papers/20af66cd2cf66fde.xml [] "[""https://github.com/masatsuneki/histopathology-image-caption""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""No"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation MIDL 2022 https://openreview.net/pdf?id=OL6tAasXCmi c0cfb855de028cf0 data/papers/c0cfb855de028cf0.pdf data/papers/c0cfb855de028cf0.xml [] "[""https://github.com/moucheng2017/Morphological_Feature_Perturbation_SSL""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Speckle and Shadows: Ultrasound-specific Physics-based Data Augmentation Applied to Kidney Segmentation MIDL 2022 https://openreview.net/pdf?id=E_KsfOoVf9D a1152ddfe40b0bef data/papers/a1152ddfe40b0bef.pdf data/papers/a1152ddfe40b0bef.xml [] "[""https://github.com/rsingla92/speckle_n_shadow""]" "{""public"": ""No"", ""dependencies"": ""No"", ""training"": NaN, ""evaluation"": ""Yes"", ""weights"": NaN, ""readme"": ""No"", ""license"": ""No""}" {} +Self-Supervised Transformers for fMRI representation MIDL 2022 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""weights"": ""Yes"", ""readme"": ""No"", ""license"": ""MIT""}" {} +Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection MIDL 2022 https://openreview.net/pdf?id=aZgiUNye2Cz 0136bd337e982b61 data/papers/0136bd337e982b61.pdf data/papers/0136bd337e982b61.xml [] "[""https://github.com/lmkoch/subgroup-shift-detection""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +JOINED: Prior Guided Multitask Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection MIDL 2022 https://openreview.net/pdf?id=HU6-t9oKvRW 544c99e678ca630a data/papers/544c99e678ca630a.pdf data/papers/544c99e678ca630a.xml [] "[""https://github.com/HuaqingHe/JOINED""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""No"", ""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +Label conditioned segmentation MIDL 2022 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Learning in Medical Imaging MIDL 2022 https://openreview.net/pdf?id=PNAdmb_Ujf 1ed1fa97f6813a91 data/papers/1ed1fa97f6813a91.pdf data/papers/1ed1fa97f6813a91.xml [] "[""https://github.com/MR-HosseinzadehTaher/CAiD""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""Custom""}" {} +AdwU-Net: Adaptive Depth and Width U-Net for Medical Image Segmentation by Differentiable Neural Architecture Search MIDL 2022 https://openreview.net/pdf?id=kF-d1SKWJpS b0f8ad145618ba0d data/papers/b0f8ad145618ba0d.pdf data/papers/b0f8ad145618ba0d.xml [] "[""https://github.com/Ziyan-Huang/AdwU-Net""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +SZLoc: A Multi-resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEG MIDL 2022 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"{""public"": ""No"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions MIDL 2022 https://openreview.net/pdf?id=UuHtdwRXkzw 2b00122ac75880e1 data/papers/2b00122ac75880e1.pdf data/papers/2b00122ac75880e1.xml [] "[""https://github.com/menzelab/implicit-shape-reconstruction""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities MIDL 2022 https://openreview.net/pdf?id=X5H_eVaqtb 77aaa6a90c834079 data/papers/77aaa6a90c834079.pdf data/papers/77aaa6a90c834079.xml [] "[""https://github.com/rezazad68/smunet""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": 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""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""GPL 2.0""}" {} +Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation MIDL 2022 https://openreview.net/pdf?id=whpBn0oadz e7d97f811e466540 data/papers/e7d97f811e466540.pdf data/papers/e7d97f811e466540.xml [] "[""https://gitlab.com/radiology/aim/carotid-artery-image-analysis/diameter-learning""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays MIDL 2022 https://openreview.net/pdf?id=NpHKh4YlQ0D 02c2e671ca1d7d50 data/papers/02c2e671ca1d7d50.pdf data/papers/02c2e671ca1d7d50.xml [] "[""https://github.com/benbergner/emil""]" "{""public"": ""No"", ""dependencies"": ""No"", ""training"": ""No"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""MIT""}" {} +MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers MIDL 2022 https://openreview.net/pdf?id=_GUu3Rf8Gy 16b232acab1b435f data/papers/16b232acab1b435f.pdf data/papers/16b232acab1b435f.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings MIDL 2022 https://openreview.net/pdf?id=3uQ2Z0MhnoE e551f8d1f3b2c0f1 data/papers/e551f8d1f3b2c0f1.pdf data/papers/e551f8d1f3b2c0f1.xml [] "[""https://github.com/IML-DKFZ/m-pax_lib""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""Apache 2.0""}" {} +On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction MIDL 2022 https://openreview.net/pdf?id=eAkOp9Oet5y 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Using Spatial Recurrence MIDL 2022 https://openreview.net/pdf?id=avqFDNyt0Dj 6b8a1a5044e9c8b5 data/papers/6b8a1a5044e9c8b5.pdf data/papers/6b8a1a5044e9c8b5.xml [] "[""https://github.com/JoaoCarv/holistic-seg""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Orientation Estimation of Abdominal Ultrasound Images with Multi-Hypotheses Networks MIDL 2022 https://openreview.net/pdf?id=1gsauv2B7Ar 156d6d7bec5684c6 data/papers/156d6d7bec5684c6.pdf data/papers/156d6d7bec5684c6.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cell Anomaly Localisation using Structured Uncertainty Prediction Networks MIDL 2022 https://openreview.net/pdf?id=-RLCTAvUxuf 0f0f3aa56ddceaac data/papers/0f0f3aa56ddceaac.pdf data/papers/0f0f3aa56ddceaac.xml [] 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https://openreview.net/pdf?id=Y-kXbPYtzsg 0b76e0ca69c667ac data/papers/0b76e0ca69c667ac.pdf data/papers/0b76e0ca69c667ac.xml [] "[""https://github.com/MathieuBartels/ECGCaption""]" "{""public"": ""No"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning MIDL 2022 https://openreview.net/pdf?id=QDJhkKy5x4q 249329337e1d4e4e data/papers/249329337e1d4e4e.pdf data/papers/249329337e1d4e4e.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SynthMap: a generative model for synthesis of 3D datasets for quantitative MRI parameter mapping of myelin water fraction MIDL 2022 https://openreview.net/pdf?id=qWkGHtDCATs a259bc5b11daf19d data/papers/a259bc5b11daf19d.pdf data/papers/a259bc5b11daf19d.xml [] 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MIDL 2022 https://openreview.net/pdf?id=reIO5WfgbLd 332688834acbf188 data/papers/332688834acbf188.pdf data/papers/332688834acbf188.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable Weakly-Supervised Cell Nuclei Segmentation by Canonical Shape Learning and Transformation MIDL 2022 https://openreview.net/pdf?id=k7JurYNOhQA 94db7ab6867e84dd data/papers/94db7ab6867e84dd.pdf data/papers/94db7ab6867e84dd.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring MIDL 2022 https://openreview.net/pdf?id=KnJsGdhx1kH b4f1f2fc7cead346 data/papers/b4f1f2fc7cead346.pdf data/papers/b4f1f2fc7cead346.xml [] "[""https://github.com/roydenwa/efficient-cell-seg""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""No"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""No""}" {} +GeoLS: Geodesic Label Smoothing for Image Segmentation MIDL 2023 https://openreview.net/pdf?id=mTIP1bkmR0q 088b53cfffe7a774 data/papers/088b53cfffe7a774.pdf data/papers/088b53cfffe7a774.xml [] "[""https://github.com/adigasu/GeoLS""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": NaN, ""weights"": NaN, ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays MIDL 2023 https://openreview.net/pdf?id=xkmhsBITaCw 462a85ceb826db36 data/papers/462a85ceb826db36.pdf data/papers/462a85ceb826db36.xml [] "[""https://github.com/StanfordMIMI/siaug""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging MIDL 2023 https://openreview.net/pdf?id=6Wbj3QCo4U4 5477a571ecf8a824 data/papers/5477a571ecf8a824.pdf data/papers/5477a571ecf8a824.xml [] "[""https://github.com/aywi/mprotonet""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs MIDL 2023 https://openreview.net/pdf?id=Ao0D2HMB8P 1e536f6f5cceefd9 data/papers/1e536f6f5cceefd9.pdf data/papers/1e536f6f5cceefd9.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An end-to-end framework for diagnosing COVID-19 pneumonia via Parallel Recursive MLP module and Bi-LTSM correlation MIDL 2023 https://openreview.net/pdf?id=2cgTLIy1Zx c0aa8e94366cc55e data/papers/c0aa8e94366cc55e.pdf data/papers/c0aa8e94366cc55e.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Frozen Language Model Helps ECG Zero-Shot Learning MIDL 2023 https://openreview.net/pdf?id=UAr59yTUWR2 05bd5d753436e0ba data/papers/05bd5d753436e0ba.pdf data/papers/05bd5d753436e0ba.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging MIDL 2023 https://openreview.net/pdf?id=x4McMBwVyi c71649824633454d data/papers/c71649824633454d.pdf data/papers/c71649824633454d.xml [] "[""https://github.com/magdalena-wysocki/ultra-nerf""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation MIDL 2023 https://openreview.net/pdf?id=diXhe9kUnQ ad8f6189e874b8ec data/papers/ad8f6189e874b8ec.pdf data/papers/ad8f6189e874b8ec.xml [] "[""https://github.com/zhuye98/ICL.git""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Data Consistent Deep Rigid MRI Motion Correction MIDL 2023 https://openreview.net/pdf?id=KolMbwNBNGv e9edbe0972c458e3 data/papers/e9edbe0972c458e3.pdf data/papers/e9edbe0972c458e3.xml [] "[""https://github.com/nalinimsingh/neuroMoCo""]" "{""public"": ""No"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Learning to Compare Longitudinal Images MIDL 2023 https://openreview.net/pdf?id=l17YFzXLP53 e8a0506be264bd6f data/papers/e8a0506be264bd6f.pdf data/papers/e8a0506be264bd6f.xml [] "[""https://github.com/heejong-kim/learning-to-compare-longitudinal-images""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification MIDL 2023 https://openreview.net/pdf?id=LoJG-lUIlk 62adab233fbe1a20 data/papers/62adab233fbe1a20.pdf data/papers/62adab233fbe1a20.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vesselformer: Towards Complete 3D Vessel Graph Generation from Images MIDL 2023 https://openreview.net/pdf?id=X_AJqHfE1H 7865c8fafdd33391 data/papers/7865c8fafdd33391.pdf data/papers/7865c8fafdd33391.xml [] "[""https://github.com/chinmay5/vesselformer""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +DBGDGM: Dynamic Brain Graph Deep Generative Model MIDL 2023 https://openreview.net/pdf?id=WHS3Zv9pxz 1895e24ea19af2ef data/papers/1895e24ea19af2ef.pdf data/papers/1895e24ea19af2ef.xml [] "[""https://github.com/simeon-spasov/dynamic-brain-graph-deep-generative-model""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +E(3) x SO(3) - Equivariant Networks for Spherical Deconvolution in Diffusion MRI MIDL 2023 https://openreview.net/pdf?id=lri_iAbpn_r 66fec438077d6897 data/papers/66fec438077d6897.pdf data/papers/66fec438077d6897.xml [] "[""https://github.com/AxelElaldi/e3so3_conv""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function MIDL 2023 https://openreview.net/pdf?id=8o83y0_YtE 89b5acb80b10bdde data/papers/89b5acb80b10bdde.pdf data/papers/89b5acb80b10bdde.xml [] "[""https://github.com/BrainImageAnalysis/ICI-loss""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": NaN, ""readme"": ""Yes"", ""license"": ""Apache 2.0""}" {} +CP2Image: Generating high-quality single-cell images using CellProfiler representations MIDL 2023 https://openreview.net/pdf?id=4LqtcKZoKeB 3967bf2b9a7219ff data/papers/3967bf2b9a7219ff.pdf data/papers/3967bf2b9a7219ff.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation MIDL 2023 https://openreview.net/pdf?id=PD0ASSmvlE fca8ca4e117f7d0f data/papers/fca8ca4e117f7d0f.pdf 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""readme"": ""Yes"", ""license"": ""MIT""}" {} +Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface Analyses MIDL 2023 https://openreview.net/pdf?id=HR1GtDQnuw 345ff7ae3c7d04d5 data/papers/345ff7ae3c7d04d5.pdf data/papers/345ff7ae3c7d04d5.xml [] "[""https://github.com/MedICL-VU/SSL-CSF-Inpainting""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""No"", ""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +Simple and Efficient Confidence Score for Grading Whole Slide Images MIDL 2023 https://openreview.net/pdf?id=DA1hOTvcMWa 20ac39a687c53c06 data/papers/20ac39a687c53c06.pdf data/papers/20ac39a687c53c06.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion MIDL 2023 https://openreview.net/pdf?id=3QnxUSzR7iu 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""license"": ""No""}" {} +SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs MIDL 2023 https://openreview.net/pdf?id=oi5psB9R_l 291b91682b132595 data/papers/291b91682b132595.pdf data/papers/291b91682b132595.xml [] "[""https://github.com/mazurowski-lab/Supermask""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""Apache 2.0""}" {} +Decoding natural image stimuli from fMRI data with a surface-based convolutional network MIDL 2023 https://openreview.net/pdf?id=V5vvti2Y9PA 5a06e76112047b62 data/papers/5a06e76112047b62.pdf data/papers/5a06e76112047b62.xml [] "[""https://github.com/zijin-gu/meshconv-decoding""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""No""}" {} +MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation MIDL 2023 https://openreview.net/pdf?id=pp2raGSU3Wx a85d35bdeeb98610 data/papers/a85d35bdeeb98610.pdf data/papers/a85d35bdeeb98610.xml [] "[""https://github.com/mindflow-institue/MS-Former""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""MIT""}" {} +Reproducibility of the Methods in Medical Imaging with Deep Learning. MIDL 2023 https://openreview.net/pdf?id=_P59zCfXOt 68e71a0ae2940cba data/papers/68e71a0ae2940cba.pdf data/papers/68e71a0ae2940cba.xml [] "[""https://docs.google.com/spreadsheets/d/1ndMJ0RbcsByOfr6Cygo8-wxYmzWZFkzI2T34IH1EZW8""]" "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": ""No"", ""license"": ""MIT""}" {} +Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images MIDL 2023 https://openreview.net/pdf?id=J0VD-I2IOOg 508bf1acb3bda07b data/papers/508bf1acb3bda07b.pdf data/papers/508bf1acb3bda07b.xml [] "[""https://github.com/ShahiraAbousamra/MIHC-InverseAE""]" "{""public"": ""No"", ""dependencies"": ""No"", ""training"": ""No"", ""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime MIDL 2023 https://openreview.net/pdf?id=2XVITHcQCfj e85bb1cc89652ae2 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""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +3D Medical Axial Transformer: A Lightweight Transformer Model for 3D Brain Tumor Segmentation MIDL 2023 https://openreview.net/pdf?id=PX-jt92kQUM 5b48f7819e150fdd data/papers/5b48f7819e150fdd.pdf data/papers/5b48f7819e150fdd.xml [] "[""https://github.com/AsukaDaisuki/MAT""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Video pretraining advances 3D deep learning on chest CT tasks MIDL 2023 https://openreview.net/pdf?id=zhpP7zluLBk 9c96aa7046bceb22 data/papers/9c96aa7046bceb22.pdf data/papers/9c96aa7046bceb22.xml [] "[""https://github.com/rajpurkarlab/chest-ct-pretraining""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""Apache 2.0""}" {} +MTSR-MRI: Combined Modality Translation and Super-Resolution of Magnetic Resonance Images MIDL 2023 https://openreview.net/pdf?id=mUPIsk20oGt 441c6507d153954d data/papers/441c6507d153954d.pdf data/papers/441c6507d153954d.xml [] "[""https://github.com/AvirupJU/MTSR-MRI""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +Deformable Image Registration with Geometry-informed Implicit Neural Representations MIDL 2023 https://openreview.net/pdf?id=Pj9vtDIzSCE a3b9e99886787c9b data/papers/a3b9e99886787c9b.pdf data/papers/a3b9e99886787c9b.xml [] "[""https://github.com/Louisvh/tangent_INR_registration_3D""]" "{""public"": ""No"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification MIDL 2023 https://openreview.net/pdf?id=i5khDI1te1M 19d3cffe5327cfda 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""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""CCO-1.0""}" {} +Domain Adaptation using Silver Standard Labels for Ki-67 Scoring in Digital Pathology A Step Closer to Widescale Deployment MIDL 2023 https://openreview.net/pdf?id=-ahfrpMo9ui e48e4fa0f382156f data/papers/e48e4fa0f382156f.pdf data/papers/e48e4fa0f382156f.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Robust Mean Teacher Framework for Semi-Supervised Cell Detection in Histopathology Images MIDL 2023 https://openreview.net/pdf?id=PEWigppmw3b 26b3f7a83d35d2f6 data/papers/26b3f7a83d35d2f6.pdf data/papers/26b3f7a83d35d2f6.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction MIDL 2023 https://openreview.net/pdf?id=ivC7VP2mof 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""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Robust Detection Outcome: A Metric for Pathology Detection in Medical Images MIDL 2023 https://openreview.net/pdf?id=zyiJi4sJ7dZ 01e81043a65dbeec data/papers/01e81043a65dbeec.pdf data/papers/01e81043a65dbeec.xml [] "[""https://github.com/FeliMe/RoDeO""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": NaN, ""evaluation"": ""Yes"", ""weights"": NaN, ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing MIDL 2023 https://openreview.net/pdf?id=neXqIGpO-tn e81a6c4287428681 data/papers/e81a6c4287428681.pdf data/papers/e81a6c4287428681.xml [] "[""https://github.com/FlorentinBieder/PatchDDM-3D""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""Apache 2.0""}" {} +Diffusion Models for Contrast Harmonization of Magnetic Resonance Images MIDL 2023 https://openreview.net/pdf?id=Xs_Hd23_PP 1002a3911193d988 data/papers/1002a3911193d988.pdf data/papers/1002a3911193d988.xml [] "[""https://github.com/AliciaDurrer/dm_moni_mr""]" "{""public"": ""No"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Making Your First Choice: To Address Cold Start Problem in Medical Active Learning MIDL 2023 https://openreview.net/pdf?id=5iSBMWm3ln f2a9b9b030e92672 data/papers/f2a9b9b030e92672.pdf data/papers/f2a9b9b030e92672.xml [] "[""https://github.com/cliangyu/CSVAL""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning MIDL 2023 https://openreview.net/pdf?id=m-f1SNDhde 7dc69bbb7bc61cf9 data/papers/7dc69bbb7bc61cf9.pdf data/papers/7dc69bbb7bc61cf9.xml [] "[""https://github.com/AstraZeneca/ibd-interpret""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation MIDL 2024 https://openreview.net/pdf?id=CTJ5ERXOYE 6bb313a665d36d53 data/papers/6bb313a665d36d53.pdf data/papers/6bb313a665d36d53.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification MIDL 2024 https://openreview.net/pdf?id=EWbMmmQnVy 9dd5ad7aa23d8277 data/papers/9dd5ad7aa23d8277.pdf data/papers/9dd5ad7aa23d8277.xml [] "[""https://github.com/icrto/peft-nles""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""No"", ""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +Beyond Structured Attributes: Image-Based Predictive Trends for Chest X-Ray Classification MIDL 2024 https://openreview.net/pdf?id=Y15taNvfFN 78a1894f3f4c8549 data/papers/78a1894f3f4c8549.pdf data/papers/78a1894f3f4c8549.xml [] "[""https://github.com/lotterlab/xray_generalization""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""No"", ""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +IHCScoreGAN: An unsupervised generative adversarial network for end-to-end ki67 scoring for clinical breast cancer diagnosis MIDL 2024 https://openreview.net/pdf?id=U3vfFn9WQ7 9a4518975fc11d22 data/papers/9a4518975fc11d22.pdf data/papers/9a4518975fc11d22.xml [] "[""https://github.com/WenchaoHan0718/IHCScoreGAN""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""No"", ""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations MIDL 2024 https://openreview.net/pdf?id=M6CfJ5H7XH 9eff30e7625472e7 data/papers/9eff30e7625472e7.pdf data/papers/9eff30e7625472e7.xml [] "[""https://github.com/NimaFathi/DeCoDEx""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation MIDL 2024 https://openreview.net/pdf?id=z0r388Sbv3 789a16532b9ccffd data/papers/789a16532b9ccffd.pdf data/papers/789a16532b9ccffd.xml [] "[""https://github.com/WenTXuL/MultiUnet""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""No"", ""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +An unexpected confounder: how brain shape can be used to classify MRI scans ? MIDL 2024 https://openreview.net/pdf?id=Hb0U9lED4N 54603d608ec36d3b data/papers/54603d608ec36d3b.pdf data/papers/54603d608ec36d3b.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology MIDL 2024 https://openreview.net/pdf?id=3vmB43oqIO 27c52dfbb632b308 data/papers/27c52dfbb632b308.pdf data/papers/27c52dfbb632b308.xml [] "[""https://github.com/digitalpathologybern/hover_next_inference""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""GPL-3.0""}" {} +Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Cardiac Digital Twins MIDL 2024 https://openreview.net/pdf?id=hV2WtoJKGp 6396d9070a51f146 data/papers/6396d9070a51f146.pdf data/papers/6396d9070a51f146.xml [] "[""https://github.com/pcmlab/AF_ablation_DT.git""]" "{""public"": ""No"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Detecting Brain Anomalies in Clinical Routine with the $\beta$-VAE: Feasibility Study on Age-Related White Matter Hyperintensities MIDL 2024 https://openreview.net/pdf?id=YFfOvLf2T1 d9e29652706a6562 data/papers/d9e29652706a6562.pdf data/papers/d9e29652706a6562.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs MIDL 2024 https://openreview.net/pdf?id=iWfUcg4FrD b390a9fa29c09f05 data/papers/b390a9fa29c09f05.pdf data/papers/b390a9fa29c09f05.xml [] "[""https://github.com/FinnBehrendt/Supervised-Anomaly-Detection-with-Diffusion-Models""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""No"", ""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +FluidRegNet: Longitudinal registration of retinal OCT images with new pathological fluids MIDL 2024 https://openreview.net/pdf?id=RsP618PEFF dcf1554970a1ef8c data/papers/dcf1554970a1ef8c.pdf data/papers/dcf1554970a1ef8c.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Age-related Macular Degeneration Progression from Retinal Optical Coherence Tomography with Intra-Subject Temporal Consistency MIDL 2024 https://openreview.net/pdf?id=x7EqWCyO5X 91b1472293a84b77 data/papers/91b1472293a84b77.pdf data/papers/91b1472293a84b77.xml [] "[""https://github.com/arunava555/Multihead_GRU_ODE_based_Survival_Analysis""]" "{""public"": ""No"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +Re-DiffiNet: Modeling discrepancy in tumor segmentation using diffusion models MIDL 2024 https://openreview.net/pdf?id=vCEMidGVbv aaaa44316d020a02 data/papers/aaaa44316d020a02.pdf data/papers/aaaa44316d020a02.xml [] "[""https://github.com/KurtLabUW/Re-DiffiNet.git""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations MIDL 2024 https://openreview.net/pdf?id=LpUNSwHp0O 066d0123e62c2c2e data/papers/066d0123e62c2c2e.pdf data/papers/066d0123e62c2c2e.xml [] "[""https://github.com/UM2ii/HiddenInPlainSight""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders MIDL 2024 https://openreview.net/pdf?id=9G7ZEYHLVJ d0c5544d39e422e3 data/papers/d0c5544d39e422e3.pdf data/papers/d0c5544d39e422e3.xml [] "[""https://github.com/metrics-lab/surface-masked-autoencoders""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""No"", ""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""No""}" {} +Evaluating Age-Related Anatomical Consistency in Synthetic Brain MRI against Real-World Alzheimer's Disease Data. MIDL 2024 https://openreview.net/pdf?id=h1YFt5erJ7 59af2dea485bbd2b data/papers/59af2dea485bbd2b.pdf data/papers/59af2dea485bbd2b.xml [] "[""https://github.com/hsyassin/BioPlausibleSynthImgEval.git""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Generating Cerebral Vessel Trees of Acute Ischemic Stroke Patients using Conditional Set-Diffusion MIDL 2024 https://openreview.net/pdf?id=2IwCwawQH4 81d30724037eceb6 data/papers/81d30724037eceb6.pdf data/papers/81d30724037eceb6.xml [] "[""https://github.com/ThijsKuipers1995/vessel_diffusion""]" "{""public"": ""No"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": NaN, ""readme"": ""No"", ""license"": ""GPL-3.0""}" {} +Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models MIDL 2024 https://openreview.net/pdf?id=sN3sDKkGeN 4f2568f179cc15e7 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""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +[Citation needed] Data usage and citation practices in medical imaging conferences MIDL 2024 https://openreview.net/pdf?id=gFIepubv7E 003c9e7673843d04 data/papers/003c9e7673843d04.pdf data/papers/003c9e7673843d04.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Medical diffusion on a budget: Textual Inversion for medical image generation MIDL 2024 https://openreview.net/pdf?id=J0zEnfU3Ow fe10cc22aff7d789 data/papers/fe10cc22aff7d789.pdf data/papers/fe10cc22aff7d789.xml [] "[""https://github.com/brambozz/medical-diffusion-on-a-budget""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +Accelerating physics-informed neural fields for fast CT perfusion analysis in acute ischemic stroke MIDL 2024 https://openreview.net/pdf?id=lV1NJ8S55g b0cf0b37eacdab65 data/papers/b0cf0b37eacdab65.pdf data/papers/b0cf0b37eacdab65.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation MIDL 2024 https://openreview.net/pdf?id=rVx9DiR5Ha 23e0ccf4793cef95 data/papers/23e0ccf4793cef95.pdf data/papers/23e0ccf4793cef95.xml [] "[""https://github.com/zhangye-zoe/BASS""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Semi-Supervised Segmentation via Embedding Matching MIDL 2024 https://openreview.net/pdf?id=xkqLQoFQbl 6d185cc91615a6c6 data/papers/6d185cc91615a6c6.pdf data/papers/6d185cc91615a6c6.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, 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Unprocessed Thick Tissues Virtual Staining for Rapid Intraoperative Histology MIDL 2024 https://openreview.net/pdf?id=X8Rh7gLtDu d592ed874f6ca334 data/papers/d592ed874f6ca334.pdf data/papers/d592ed874f6ca334.xml [] "[""https://github.com/TABLAB-HKUST/ThickV-Stain""]" "{""public"": ""No"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""BSD""}" {} +Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor to Estimate Dosimetric Impact of Segmentation Variations for Radiotherapy MIDL 2024 https://openreview.net/pdf?id=SlMMyPqQTm 789e3564c6c2f7f4 data/papers/789e3564c6c2f7f4.pdf data/papers/789e3564c6c2f7f4.xml [] "[""https://github.com/ubern-mia/radonc-vs-dldp""]" "{""public"": ""No"", ""dependencies"": ""Yes"", ""training"": ""No"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""No"", ""license"": NaN}" {} +ICL-SAM: Synergizing In-context Learning Model and SAM in Medical Image Segmentation MIDL 2024 https://openreview.net/pdf?id=Y1BeK8dTno e08efca4a90afd3f data/papers/e08efca4a90afd3f.pdf data/papers/e08efca4a90afd3f.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data MIDL 2024 https://openreview.net/pdf?id=7iW2nuL2lS 54216f9c62eff011 data/papers/54216f9c62eff011.pdf data/papers/54216f9c62eff011.xml [] "[""https://github.com/ai-med/TripletTraining""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""GPL-3.0""}" {} +Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity MIDL 2024 https://openreview.net/pdf?id=LVRhXa0q5r 20f27fa3054708a3 data/papers/20f27fa3054708a3.pdf data/papers/20f27fa3054708a3.xml [] [] "{""public"": 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features guide cell type assignment of deconvolved spatial transcriptomics MIDL 2024 https://openreview.net/pdf?id=QfYXJUmIit 0451b069d80c4e0e data/papers/0451b069d80c4e0e.pdf data/papers/0451b069d80c4e0e.xml [] "[""https://github.com/eduardchelebian/mhast""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": NaN, ""readme"": ""Yes"", ""license"": ""Apache-2.0""}" {} +Ano-swinMAE: Unsupervised Anomaly Detection in Brain MRI using swin Transformer based Masked Auto Encoder MIDL 2024 https://openreview.net/pdf?id=4uqpqIoQVA e294819d38ea1412 data/papers/e294819d38ea1412.pdf data/papers/e294819d38ea1412.xml [] "[""https://github.com/rashmi05pathak/Ano-swinMAE""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""No"", ""license"": ""MIT""}" {} +Train Once, Deploy Anywhere: Edge-Guided Single-source Domain Generalization for Medical Image Segmentation MIDL 2024 https://openreview.net/pdf?id=iefmK5E2N6 2604a3c7799958e8 data/papers/2604a3c7799958e8.pdf data/papers/2604a3c7799958e8.xml [] "[""https://github.com/thinkdifferentor/EGSDG""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""No"", ""evaluation"": ""No"", ""weights"": ""No"", ""readme"": ""No"", ""license"": ""MIT""}" {} +Improving Identically Distributed and Out-of-Distribution Medical Image Classification with Segmentation-Guided Attention in Small Dataset Scenarios MIDL 2024 https://openreview.net/pdf?id=YUtcFW5xRt b3d9a1ef37e34e22 data/papers/b3d9a1ef37e34e22.pdf data/papers/b3d9a1ef37e34e22.xml [] "[""https://github.com/MeriDK/segmentation-guided-attention""]" "{""public"": ""No"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""No"", ""license"": ""No""}" {} +Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation MIDL 2024 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multiparametric MRI and generalization to unseen domains MIDL 2024 https://openreview.net/pdf?id=0qf8B7KTKR b57043bc319d4abd data/papers/b57043bc319d4abd.pdf data/papers/b57043bc319d4abd.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Real-time MR-based 3D motion monitoring using raw k-space data MIDL 2024 https://openreview.net/pdf?id=7QIF3J6Buv 8d40d8f0b4c040eb data/papers/8d40d8f0b4c040eb.pdf data/papers/8d40d8f0b4c040eb.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities MIDL 2024 https://openreview.net/pdf?id=WDZg4P97gr 21b243d2d742693c data/papers/21b243d2d742693c.pdf data/papers/21b243d2d742693c.xml [] "[""https://github.com/jumdc/ADAPT.git""]" "{""public"": ""Yes"", ""dependencies"": 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Classification Using Patients’ Skin Images and Meta-data: Multimodal Fusion for Improving Fairness MIDL 2024 https://openreview.net/pdf?id=5TWfxGVFWc 5d57cd8363b5beca data/papers/5d57cd8363b5beca.pdf data/papers/5d57cd8363b5beca.xml [] "[""https://github.com/DDI-Dataset/DDI-Code""]" "{""public"": ""Yes"", ""dependencies"": ""No"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""Yes"", ""readme"": ""Yes"", ""license"": ""No""}" {} +Multimodal Image Registration Guided by Few Segmentations from One Modality MIDL 2024 https://openreview.net/pdf?id=cRmz96uGD6 6a0502718450e788 data/papers/6a0502718450e788.pdf data/papers/6a0502718450e788.xml [] "[""https://github.com/uncbiag/SegGuidedMMReg""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""BSD""}" {} +Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction MIDL 2024 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loss functions improve medical image classification MIDL 2024 https://openreview.net/pdf?id=5Oiqw76ube 0e2656c6cc8dcfc0 data/papers/0e2656c6cc8dcfc0.pdf data/papers/0e2656c6cc8dcfc0.xml [] "[""https://github.com/daniel-scholz/address-class-imbalance""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": ""No"", ""license"": ""No""}" {} +Active Learning with the nnUNet and Sample Selection with Uncertainty-Aware Submodular Mutual Information Measure MIDL 2024 https://openreview.net/pdf?id=2yrhjc2iZl 46fc09eb0fa5753c data/papers/46fc09eb0fa5753c.pdf data/papers/46fc09eb0fa5753c.xml [] "[""https://github.com/Berni1557/ALUNET""]" "{""public"": ""Yes"", ""dependencies"": ""Yes"", ""training"": ""Yes"", ""evaluation"": ""Yes"", ""weights"": ""No"", ""readme"": ""Yes"", ""license"": ""MIT""}" {} +A recurrent network for segmenting the thrombus on brain MRI in patients with hyper-acute ischemic stroke MIDL 2024 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virus and protects gut-associated lymphoid tissue from infection | Nature Medicine Nature 2014 https://www.nature.com/articles/nm.3715.pdf 02bc17e09f85cbd5 data/papers/02bc17e09f85cbd5.pdf data/papers/02bc17e09f85cbd5.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Alterations in microRNA-124 and AMPA receptors contribute to social behavioral deficits in frontotemporal dementia | Nature Medicine Nature 2014 https://www.nature.com/articles/nm.3717.pdf 381597869f7dfefc data/papers/381597869f7dfefc.pdf data/papers/381597869f7dfefc.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Longitudinal PET-MRI reveals β-amyloid deposition and rCBF dynamics and connects vascular amyloidosis to quantitative loss of perfusion | Nature Medicine Nature 2014 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primary HIV-1 that target CD8+ T Lymphocytes using CD8 as a receptor | Nature Medicine Nature 2001 https://www.nature.com/articles/nm0101_65.pdf 16d89a2ea7f8870b data/papers/16d89a2ea7f8870b.pdf data/papers/16d89a2ea7f8870b.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The serum concentration of active transforming growth factor-β is severely depressed in advanced atherosclerosis | Nature Medicine Nature 1995 https://www.nature.com/articles/nm0195-74.pdf 980fb356295a0fc3 data/papers/980fb356295a0fc3.pdf data/papers/980fb356295a0fc3.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vaccination of patients with B–cell lymphoma using autologous antigen–pulsed dendritic cells | Nature Medicine Nature 1996 https://www.nature.com/articles/nm0196-52.pdf 767bab46a368a841 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""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vascular endothelial growth factor is essential for corpus luteum angiogenesis | Nature Medicine Nature 1998 https://www.nature.com/articles/nm0398-336.pdf cef22c133e18c5b0 data/papers/cef22c133e18c5b0.pdf data/papers/cef22c133e18c5b0.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A mechanism for hormone-independent prostate cancer through modulation of androgen receptor signaling by the HER-2/neu tyrosine kinase | Nature Medicine Nature 1999 https://www.nature.com/articles/nm0399_280.pdf 0edf6064f344f3e3 data/papers/0edf6064f344f3e3.pdf data/papers/0edf6064f344f3e3.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neuroprotection by a caspase inhibitor in acute bacterial meningitis | Nature Medicine 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""readme"": NaN, ""license"": NaN}" {} +Influence of combinations of human major histocompatibility complex genes on the course of HIV–1 infection | Nature Medicine Nature 1996 https://www.nature.com/articles/nm0496-405.pdf e6d51885c48697a3 data/papers/e6d51885c48697a3.pdf data/papers/e6d51885c48697a3.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Relative resistance to HIV–1 infection of CD4 lymphocytes from persons who remain uninfected despite multiple high–risk sexual exposures | Nature Medicine Nature 1996 https://www.nature.com/articles/nm0496-412.pdf 218ab5bcc4cf34af data/papers/218ab5bcc4cf34af.pdf data/papers/218ab5bcc4cf34af.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Philippine cynomolgus monkey (Macaca fasicularis) provides a new nonhuman primate model of tuberculosis that resembles human disease | Nature Medicine Nature 1996 https://www.nature.com/articles/nm0496-430.pdf a5ea2e2ce771cdf1 data/papers/a5ea2e2ce771cdf1.pdf data/papers/a5ea2e2ce771cdf1.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Progression of metastatic human prostate cancer to androgen independence in immunodeficient SCID mice | Nature Medicine Nature 1997 https://www.nature.com/articles/nm0497-402.pdf 4b2efbbedffe7530 data/papers/4b2efbbedffe7530.pdf data/papers/4b2efbbedffe7530.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mac-1 (CD11b/CD18) is an oligodeoxynucleotide-binding protein | Nature Medicine Nature 1997 https://www.nature.com/articles/nm0497-414.pdf 0586c0244ad9a69c data/papers/0586c0244ad9a69c.pdf data/papers/0586c0244ad9a69c.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A variant of Alzheimer's disease with spastic paraparesis and unusual plaques due to deletion of exon 9 of presenilin 1 | Nature Medicine Nature 1998 https://www.nature.com/articles/nm0498-452.pdf 1e5bc1a28238b561 data/papers/1e5bc1a28238b561.pdf data/papers/1e5bc1a28238b561.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Whole recombinant yeast vaccine activates dendritic cells and elicits protective cell-mediated immunity | Nature Medicine Nature 2001 https://www.nature.com/articles/nm0501_625.pdf 6370c157199e7cc5 data/papers/6370c157199e7cc5.pdf data/papers/6370c157199e7cc5.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Acute phase cytotoxic T lymphocyte escape is a hallmark of simian immunodeficiency virus infection | Nature Medicine Nature 2002 https://www.nature.com/articles/nm0502-493.pdf 6e7f82c7d344c5be data/papers/6e7f82c7d344c5be.pdf data/papers/6e7f82c7d344c5be.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A novel human immunoglobulin Fcγ–Fcɛ bifunctional fusion protein inhibits FcɛRI-mediated degranulation | Nature Medicine Nature 2002 https://www.nature.com/articles/nm0502-518.pdf 164b9241a89de8a7 data/papers/164b9241a89de8a7.pdf data/papers/164b9241a89de8a7.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Human complement regulatory proteins protect swine-to-primate cardiac xenografts from humoral injury | Nature Medicine Nature 1995 https://www.nature.com/articles/nm0595-423.pdf 0f35f39f81067577 data/papers/0f35f39f81067577.pdf data/papers/0f35f39f81067577.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Immunoprophylaxis of allergen–induced immunoglobulin E synthesis and airway hyperresponsiveness in vivo by genetic immunization | Nature Medicine Nature 1996 https://www.nature.com/articles/nm0596-540.pdf 5b75ecfca04712b8 data/papers/5b75ecfca04712b8.pdf data/papers/5b75ecfca04712b8.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +p53-dependent apoptosis suppresses radiation–induced teratogenesis | Nature Medicine Nature 1996 https://www.nature.com/articles/nm0596-577.pdf 0256aabcf1a760c4 data/papers/0256aabcf1a760c4.pdf data/papers/0256aabcf1a760c4.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Human leptin levels are pulsatile and inversely related to pituitary–ardenal function | Nature Medicine Nature 1997 https://www.nature.com/articles/nm0597-575.pdf 5890385ba727a5cd data/papers/5890385ba727a5cd.pdf data/papers/5890385ba727a5cd.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rhabdomyosarcomas and radiation hypersensitivity in a mouse model of Gorlin syndrome | Nature Medicine Nature 1998 https://www.nature.com/articles/nm0598-619.pdf 92c4eb7f904bf1d0 data/papers/92c4eb7f904bf1d0.pdf data/papers/92c4eb7f904bf1d0.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neutralizing antibody-independent containment of immunodeficiency virus challenges by DNA priming and recombinant pox virus booster immunizations | Nature Medicine 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NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Chemical generation of nitric oxide in the mouth from the enterosalivary circulation of dietary nitrate | Nature Medicine Nature 1995 https://www.nature.com/articles/nm0695-546.pdf 262597d3ac75106d data/papers/262597d3ac75106d.pdf data/papers/262597d3ac75106d.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The drug resistance-related protein LRP is the human major vault protein | Nature Medicine Nature 1995 https://www.nature.com/articles/nm0695-578.pdf 94ca7761e48713f9 data/papers/94ca7761e48713f9.pdf data/papers/94ca7761e48713f9.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The role of endogenous nerve growth factor in human diabetic neuropathy | Nature Medicine Nature 1996 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""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The emergence of a highly transmissible lineage of cbl+ Pseudomonas (Burkholderia) cepacia causing CF centre epidemics in North America and Britain | Nature Medicine Nature 1995 https://www.nature.com/articles/nm0795-661.pdf 9b05510cfddcfdcc data/papers/9b05510cfddcfdcc.pdf data/papers/9b05510cfddcfdcc.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Failure of T-cell homeostasis preceding AIDS in HIV-1 infection | Nature Medicine Nature 1995 https://www.nature.com/articles/nm0795-674.pdf 0251283f4a43e15b data/papers/0251283f4a43e15b.pdf data/papers/0251283f4a43e15b.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Extensive polymorphisms observed in HIV–1 clade B protease gene using high–density oligonucleotide arrays | Nature Medicine Nature 1996 https://www.nature.com/articles/nm0796-753.pdf f4a1e85e9e51ae88 data/papers/f4a1e85e9e51ae88.pdf data/papers/f4a1e85e9e51ae88.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bradykinin–evoked sensitization of airway sensory nerves: A mechanism for ACE–inhibitor cough | Nature Medicine Nature 1996 https://www.nature.com/articles/nm0796-814.pdf 22ea457840e6c119 data/papers/22ea457840e6c119.pdf data/papers/22ea457840e6c119.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +High plasma HDL concentrations associated with enhanced atherosclerosis in transgenic mice overexpressing lecithinchoesteryl acyltransferase | Nature Medicine Nature 1997 https://www.nature.com/articles/nm0797-744.pdf 976a1e944ed2f0e5 data/papers/976a1e944ed2f0e5.pdf data/papers/976a1e944ed2f0e5.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +T lymphocytes with a normal ADA gene accumulate after transplantation of transduced autologous umbilical cord blood CD34+ cells in ADA-deficient SCID neonates | Nature Medicine Nature 1998 https://www.nature.com/articles/nm0798-775.pdf a648126543d00f50 data/papers/a648126543d00f50.pdf data/papers/a648126543d00f50.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Differential regulation of antiviral T-cell immunity results in stable CD8+ but declining CD4+ T-cell memory | Nature Medicine Nature 2001 https://www.nature.com/articles/nm0801_913.pdf 10c31b7720a160a3 data/papers/10c31b7720a160a3.pdf data/papers/10c31b7720a160a3.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Inhibition of HIV-1 virion production by a transdominant mutant of integrase interactor 1 | Nature Medicine Nature 2001 https://www.nature.com/articles/nm0801_920.pdf eac4d453dbf022ed data/papers/eac4d453dbf022ed.pdf data/papers/eac4d453dbf022ed.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The biological effects of endogenous nerve growth factor on adult sensory neurons revealed by a trkA-IgG fusion molecule | Nature Medicine Nature 1995 https://www.nature.com/articles/nm0895-774.pdf f0abfd17806ae394 data/papers/f0abfd17806ae394.pdf data/papers/f0abfd17806ae394.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Immunogenicity and protective efficacy of a tuberculosis DNA vaccine | Nature Medicine Nature 1996 https://www.nature.com/articles/nm0896-893.pdf e2db7d0ec761b869 data/papers/e2db7d0ec761b869.pdf data/papers/e2db7d0ec761b869.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Alternatively spliced mdm2 transcripts with loss of p53 binding domain sequences: Transforming ability and frequent detection in human cancer | Nature Medicine Nature 1996 https://www.nature.com/articles/nm0896-912.pdf b95779189728dfcf data/papers/b95779189728dfcf.pdf data/papers/b95779189728dfcf.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +KSHV antibodies among Americans, Italians and Ugandans with and without Kaposi's sarcoma | Nature Medicine Nature 1996 https://www.nature.com/articles/nm0896-925.pdf 87b9809c69a3ab35 data/papers/87b9809c69a3ab35.pdf 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pressure by neutral endopeptidase | Nature Medicine Nature 1997 https://www.nature.com/articles/nm0897-904.pdf 2030257f19fde333 data/papers/2030257f19fde333.pdf data/papers/2030257f19fde333.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Par-4 is a mediator of neuronal degeneration associated with the pathogenesis of Alzheimer disease | Nature Medicine Nature 1998 https://www.nature.com/articles/nm0898-957.pdf 2e9e5e8024a47d77 data/papers/2e9e5e8024a47d77.pdf data/papers/2e9e5e8024a47d77.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rapid selection of complement-inhibiting protein variants in group A Streptococcus epidemic waves | Nature Medicine Nature 1999 https://www.nature.com/articles/nm0899_924.pdf 9cb5708900b22bb8 data/papers/9cb5708900b22bb8.pdf 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""readme"": NaN, ""license"": NaN}" {} +DNA immunization induces protective immunity against B–cell lymphoma | Nature Medicine Nature 1996 https://www.nature.com/articles/nm0996-1038.pdf 5c051e3ee19949aa data/papers/5c051e3ee19949aa.pdf data/papers/5c051e3ee19949aa.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +During angiogenesis, vascular endothelial growth factor regulate natural killer cell adhesion to tumor endothelium | Nature Medicine Nature 1996 https://www.nature.com/articles/nm0996-992.pdf 10f5e1f8736d47d0 data/papers/10f5e1f8736d47d0.pdf data/papers/10f5e1f8736d47d0.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Primary demyelination in transgenic mice expressing interferon-γ | Nature Medicine Nature 1997 https://www.nature.com/articles/nm0997-1037.pdf deac6b40e736d8fe data/papers/deac6b40e736d8fe.pdf data/papers/deac6b40e736d8fe.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Impaired blood–brain barrier function in angiotensinogen-deficient mice | Nature Medicine Nature 1998 https://www.nature.com/articles/nm0998_1078.pdf 8c701b2c963b37fd data/papers/8c701b2c963b37fd.pdf data/papers/8c701b2c963b37fd.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Effector CD8+ T cells mediate inflammation and airway hyper-responsiveness | Nature Medicine Nature 2004 https://www.nature.com/articles/nm1081.pdf ebb8f39a2114eb1e data/papers/ebb8f39a2114eb1e.pdf data/papers/ebb8f39a2114eb1e.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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host immune responses by modification of Salmonella virulence genes | Nature Medicine Nature 1998 https://www.nature.com/articles/nm1198_1247.pdf cefcd9627669eb0f data/papers/cefcd9627669eb0f.pdf data/papers/cefcd9627669eb0f.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Thymic lymphoproliferative disease after successful correction of CD40 ligand deficiency by gene transfer in mice | Nature Medicine Nature 1998 https://www.nature.com/articles/nm1198_1253.pdf 4482d7767d8f4c9f data/papers/4482d7767d8f4c9f.pdf data/papers/4482d7767d8f4c9f.xml [] [] "{""public"": ""No"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tumor-specific killer cells in paraneoplastic cerebellar degeneration | Nature Medicine Nature 1998 https://www.nature.com/articles/nm1198_1321.pdf b4addce02f07e877 data/papers/b4addce02f07e877.pdf 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learning-based ranking method for subgroup and predictive biomarker identification in patients | Communications Medicine Nature 2025 https://www.nature.com/articles/s43856-025-00946-z.pdf 59a448c027a3670d data/papers/59a448c027a3670d.pdf data/papers/59a448c027a3670d.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Resistance to ceftriaxone and penicillin G among contemporary syphilis strains confirmed by natural in vitro mutagenesis | Communications Medicine Nature 2025 https://www.nature.com/articles/s43856-025-00948-x.pdf 47b04932c10d6387 data/papers/47b04932c10d6387.pdf data/papers/47b04932c10d6387.xml [] [] "{""public"": ""Yes"", ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Denoising Adversarial Autoencoders: Classifying Skin Lesions Using Limited Labelled Training Data arXiv 2018 https://arxiv.org/pdf/1801.00693v1 478f2232c7dac3c6 data/papers/478f2232c7dac3c6.pdf data/papers/478f2232c7dac3c6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines arXiv 2018 https://arxiv.org/pdf/1801.01586v1 30cc72b8532e4c34 data/papers/30cc72b8532e4c34.pdf data/papers/30cc72b8532e4c34.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches arXiv 2018 https://arxiv.org/pdf/1801.03230v3 3c6c06619c7a5784 data/papers/3c6c06619c7a5784.pdf data/papers/3c6c06619c7a5784.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data arXiv 2018 https://arxiv.org/pdf/1801.06202v2 dc9fdd9fa434ba8d data/papers/dc9fdd9fa434ba8d.pdf data/papers/dc9fdd9fa434ba8d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray arXiv 2018 https://arxiv.org/pdf/1801.06288v1 e4e0bda5d3457f15 data/papers/e4e0bda5d3457f15.pdf data/papers/e4e0bda5d3457f15.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dimensionality Reduction in Deep Learning for Chest X-Ray Analysis of Lung Cancer arXiv 2018 https://arxiv.org/pdf/1801.06495v1 85d7e878423df4df data/papers/85d7e878423df4df.pdf data/papers/85d7e878423df4df.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Drug Selection via Joint Push and Learning to Rank arXiv 2018 https://arxiv.org/pdf/1801.07691v2 8e68c09628e46705 data/papers/8e68c09628e46705.pdf data/papers/8e68c09628e46705.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification arXiv 2018 https://arxiv.org/pdf/1801.09555v1 392000f441a403df data/papers/392000f441a403df.pdf data/papers/392000f441a403df.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Personalized Survival Prediction with Contextual Explanation Networks arXiv 2018 https://arxiv.org/pdf/1801.09810v1 882a0330a686237c data/papers/882a0330a686237c.pdf data/papers/882a0330a686237c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis arXiv 2018 https://arxiv.org/pdf/1802.00752v2 f0c21ad8f19b77ad data/papers/f0c21ad8f19b77ad.pdf data/papers/f0c21ad8f19b77ad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification arXiv 2018 https://arxiv.org/pdf/1802.00931v1 d60c6c1fc0be035c data/papers/d60c6c1fc0be035c.pdf data/papers/d60c6c1fc0be035c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images arXiv 2018 https://arxiv.org/pdf/1802.01301v1 b8f326408340412e data/papers/b8f326408340412e.pdf data/papers/b8f326408340412e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin arXiv 2018 https://arxiv.org/pdf/1802.02213v2 2c72c2443afc8465 data/papers/2c72c2443afc8465.pdf data/papers/2c72c2443afc8465.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning arXiv 2018 https://arxiv.org/pdf/1802.03617v1 95a13bcdf0a73c4b data/papers/95a13bcdf0a73c4b.pdf data/papers/95a13bcdf0a73c4b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Direct Estimation of Differences in Causal Graphs arXiv 2018 https://arxiv.org/pdf/1802.05631v3 e924a633e9cf9ac1 data/papers/e924a633e9cf9ac1.pdf data/papers/e924a633e9cf9ac1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised multi-task learning for lung cancer diagnosis arXiv 2018 https://arxiv.org/pdf/1802.06181v2 40d94e7a08ecaf07 data/papers/40d94e7a08ecaf07.pdf data/papers/40d94e7a08ecaf07.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning arXiv 2018 https://arxiv.org/pdf/1802.06260v2 e013c23cc624f43d data/papers/e013c23cc624f43d.pdf data/papers/e013c23cc624f43d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy arXiv 2018 https://arxiv.org/pdf/1802.06468v2 fd3a2c3439eccca7 data/papers/fd3a2c3439eccca7.pdf data/papers/fd3a2c3439eccca7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multiclass Weighted Loss for Instance Segmentation of Cluttered Cells arXiv 2018 https://arxiv.org/pdf/1802.07465v1 ea06b9542d7d0171 data/papers/ea06b9542d7d0171.pdf data/papers/ea06b9542d7d0171.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of Breast Cancer Histology using Deep Learning arXiv 2018 https://arxiv.org/pdf/1802.08080v2 efcb1e33689ca0e0 data/papers/efcb1e33689ca0e0.pdf data/papers/efcb1e33689ca0e0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multiparametric Deep Learning Tissue Signatures for a Radiological Biomarker of Breast Cancer: Preliminary Results arXiv 2018 https://arxiv.org/pdf/1802.08200v1 c6863283fb64dc0e data/papers/c6863283fb64dc0e.pdf data/papers/c6863283fb64dc0e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Bayesian Mark Interaction Model for Analysis of Tumor Pathology Images arXiv 2018 https://arxiv.org/pdf/1802.08308v1 c6775ba0c8970f49 data/papers/c6775ba0c8970f49.pdf data/papers/c6775ba0c8970f49.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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NaN, ""license"": NaN}" {} +Classification of breast cancer histology images using transfer learning arXiv 2018 https://arxiv.org/pdf/1802.09424v1 76bcc966bd08daef data/papers/76bcc966bd08daef.pdf data/papers/76bcc966bd08daef.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmentation of the prostate and organs at risk in male pelvic CT images using deep learning arXiv 2018 https://arxiv.org/pdf/1802.09587v1 7d0aa6b061113d03 data/papers/7d0aa6b061113d03.pdf data/papers/7d0aa6b061113d03.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Brain Tumor Type Classification via Capsule Networks arXiv 2018 https://arxiv.org/pdf/1802.10200v2 6effecddc5a31dd0 data/papers/6effecddc5a31dd0.pdf data/papers/6effecddc5a31dd0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SD-CNN: a Shallow-Deep CNN for Improved Breast Cancer Diagnosis arXiv 2018 https://arxiv.org/pdf/1803.00663v2 04878c186aae3e8b data/papers/04878c186aae3e8b.pdf data/papers/04878c186aae3e8b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tensorial and bipartite block models for link prediction in layered networks and temporal networks arXiv 2018 https://arxiv.org/pdf/1803.01616v1 a58047281ded36eb data/papers/a58047281ded36eb.pdf data/papers/a58047281ded36eb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Abnormality Detection in Mammography using Deep Convolutional Neural Networks arXiv 2018 https://arxiv.org/pdf/1803.01906v1 726c79027636e907 data/papers/726c79027636e907.pdf data/papers/726c79027636e907.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SentRNA: Improving computational RNA design by incorporating a prior of human design strategies arXiv 2018 https://arxiv.org/pdf/1803.03146v2 5c051586351b3e56 data/papers/5c051586351b3e56.pdf data/papers/5c051586351b3e56.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A pathway-based kernel boosting method for sample classification using genomic data arXiv 2018 https://arxiv.org/pdf/1803.03910v1 29c968c952d26fb7 data/papers/29c968c952d26fb7.pdf data/papers/29c968c952d26fb7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome arXiv 2018 https://arxiv.org/pdf/1803.05011v1 89c69168d0d1a173 data/papers/89c69168d0d1a173.pdf data/papers/89c69168d0d1a173.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study arXiv 2018 https://arxiv.org/pdf/1803.05471v1 564def79221668f8 data/papers/564def79221668f8.pdf data/papers/564def79221668f8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diagnostic Classification Of Lung Nodules Using 3D Neural Networks arXiv 2018 https://arxiv.org/pdf/1803.07192v1 0e71b2d4dc4bb0ab data/papers/0e71b2d4dc4bb0ab.pdf data/papers/0e71b2d4dc4bb0ab.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples arXiv 2018 https://arxiv.org/pdf/1803.07879v1 55989e589e6364a3 data/papers/55989e589e6364a3.pdf data/papers/55989e589e6364a3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images arXiv 2018 https://arxiv.org/pdf/1803.11241v1 9360dba8a647cca2 data/papers/9360dba8a647cca2.pdf data/papers/9360dba8a647cca2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +High-Dimensional Joint Estimation of Multiple Directed Gaussian Graphical Models arXiv 2018 https://arxiv.org/pdf/1804.00778v3 18a53fb3b4ec3dd7 data/papers/18a53fb3b4ec3dd7.pdf data/papers/18a53fb3b4ec3dd7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +StainGAN: Stain Style Transfer for Digital Histological Images arXiv 2018 https://arxiv.org/pdf/1804.01601v1 3f883ce8acd66087 data/papers/3f883ce8acd66087.pdf data/papers/3f883ce8acd66087.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards radiologist-level cancer risk assessment in CT lung screening using deep learning arXiv 2018 https://arxiv.org/pdf/1804.01901v2 6c4f9fbab045571d data/papers/6c4f9fbab045571d.pdf data/papers/6c4f9fbab045571d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated pick-up of suturing needles for robotic surgical assistance arXiv 2018 https://arxiv.org/pdf/1804.03141v1 94d0c171380949c7 data/papers/94d0c171380949c7.pdf data/papers/94d0c171380949c7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification arXiv 2018 https://arxiv.org/pdf/1804.03700v1 16b54f78fe0050d5 data/papers/16b54f78fe0050d5.pdf data/papers/16b54f78fe0050d5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Pathology Image Segmentation Using Representation Learning with Spherical K-means arXiv 2018 https://arxiv.org/pdf/1804.03828v1 427c5685a637426e data/papers/427c5685a637426e.pdf data/papers/427c5685a637426e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Assessment of Breast Cancer Histology using Densely Connected Convolutional Networks arXiv 2018 https://arxiv.org/pdf/1804.04595v1 a698bbbf31862594 data/papers/a698bbbf31862594.pdf data/papers/a698bbbf31862594.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning Analysis of Complex Networks in Hyperspherical Space arXiv 2018 https://arxiv.org/pdf/1804.05960v1 4c26adaaa44ff271 data/papers/4c26adaaa44ff271.pdf data/papers/4c26adaaa44ff271.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Active Learning for Breast Cancer Identification arXiv 2018 https://arxiv.org/pdf/1804.06670v1 84cfcc340306de5c data/papers/84cfcc340306de5c.pdf data/papers/84cfcc340306de5c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders arXiv 2018 https://arxiv.org/pdf/1804.07098v1 464526f0dfe83f7c data/papers/464526f0dfe83f7c.pdf data/papers/464526f0dfe83f7c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Simple Quantum Neural Net with a Periodic Activation Function arXiv 2018 https://arxiv.org/pdf/1804.07633v3 89d43818e70a7187 data/papers/89d43818e70a7187.pdf data/papers/89d43818e70a7187.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepPET: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem arXiv 2018 https://arxiv.org/pdf/1804.07851v2 308b8b9e85e96fc8 data/papers/308b8b9e85e96fc8.pdf data/papers/308b8b9e85e96fc8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep Convolutional Neural Network for Lung Cancer Diagnostic arXiv 2018 https://arxiv.org/pdf/1804.08170v1 b676abc72069c025 data/papers/b676abc72069c025.pdf data/papers/b676abc72069c025.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Convolutional capsule network for classification of breast cancer histology images arXiv 2018 https://arxiv.org/pdf/1804.08376v1 36c85af5d31bb029 data/papers/36c85af5d31bb029.pdf data/papers/36c85af5d31bb029.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Extracting Lungs from CT Images using Fully Convolutional Networks arXiv 2018 https://arxiv.org/pdf/1804.10704v1 18ff0f1ae03dd000 data/papers/18ff0f1ae03dd000.pdf data/papers/18ff0f1ae03dd000.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia arXiv 2018 https://arxiv.org/pdf/1805.00632v1 c94237b0a8364cdf data/papers/c94237b0a8364cdf.pdf data/papers/c94237b0a8364cdf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of a Gene Regulatory Network from Gene Expression Profiles With Linear Regression and Pearson Correlation Coefficient arXiv 2018 https://arxiv.org/pdf/1805.01506v1 7591328262805597 data/papers/7591328262805597.pdf data/papers/7591328262805597.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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[] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation arXiv 2018 https://arxiv.org/pdf/1805.05239v1 aa368a712aae3a70 data/papers/aa368a712aae3a70.pdf data/papers/aa368a712aae3a70.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Covariance-Insured Screening arXiv 2018 https://arxiv.org/pdf/1805.06595v1 d4432844ce5223ad data/papers/d4432844ce5223ad.pdf data/papers/d4432844ce5223ad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Blessings of Multiple Causes arXiv 2018 https://arxiv.org/pdf/1805.06826v3 9b17ba661e92e81a data/papers/9b17ba661e92e81a.pdf data/papers/9b17ba661e92e81a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generalizing multistain immunohistochemistry tissue segmentation using one-shot color deconvolution deep neural networks arXiv 2018 https://arxiv.org/pdf/1805.06958v3 8dcc731fad4e9407 data/papers/8dcc731fad4e9407.pdf data/papers/8dcc731fad4e9407.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology arXiv 2018 https://arxiv.org/pdf/1805.06983v2 234d3956fb60797d data/papers/234d3956fb60797d.pdf data/papers/234d3956fb60797d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spectral feature scaling method for supervised dimensionality reduction arXiv 2018 https://arxiv.org/pdf/1805.07006v1 318179beeea878cb data/papers/318179beeea878cb.pdf data/papers/318179beeea878cb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Lymph Node Metastasis in Head and Neck Cancer by Combining Many-objective Radiomics and 3-dimensioal Convolutional Neural Network through Evidential Reasoning arXiv 2018 https://arxiv.org/pdf/1805.07021v1 80c6e7d39d332020 data/papers/80c6e7d39d332020.pdf data/papers/80c6e7d39d332020.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting drug response of tumors from integrated genomic profiles by deep neural networks arXiv 2018 https://arxiv.org/pdf/1805.07702v1 3a6433971098bd71 data/papers/3a6433971098bd71.pdf data/papers/3a6433971098bd71.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization arXiv 2018 https://arxiv.org/pdf/1805.07874v2 20ce8168ff16df6a data/papers/20ce8168ff16df6a.pdf data/papers/20ce8168ff16df6a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer Research UK Drug Discovery Process Mining arXiv 2018 https://arxiv.org/pdf/1805.08169v1 6b18e1aea6c0a425 data/papers/6b18e1aea6c0a425.pdf data/papers/6b18e1aea6c0a425.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Constrained Sparse Subspace Clustering with Side-Information arXiv 2018 https://arxiv.org/pdf/1805.08183v2 7883f002e863928a data/papers/7883f002e863928a.pdf data/papers/7883f002e863928a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distribution Matching Losses Can Hallucinate Features in Medical Image Translation arXiv 2018 https://arxiv.org/pdf/1805.08841v3 96063a234e769282 data/papers/96063a234e769282.pdf data/papers/96063a234e769282.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Affinity Network Fusion and Semi-supervised Learning for Cancer Patient Clustering arXiv 2018 https://arxiv.org/pdf/1805.09673v1 d6a8aa6e129fb088 data/papers/d6a8aa6e129fb088.pdf data/papers/d6a8aa6e129fb088.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Sentiment Analysis of Breast Cancer Treatment Experiences and Healthcare Perceptions Across Twitter arXiv 2018 https://arxiv.org/pdf/1805.09959v2 0c40ef1fb50d7042 data/papers/0c40ef1fb50d7042.pdf data/papers/0c40ef1fb50d7042.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture arXiv 2018 https://arxiv.org/pdf/1805.10397v3 17ef2ae40ace234e data/papers/17ef2ae40ace234e.pdf data/papers/17ef2ae40ace234e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adversarial Deformation Regularization for Training Image Registration Neural Networks arXiv 2018 https://arxiv.org/pdf/1805.10665v1 486d72b540cf65ff data/papers/486d72b540cf65ff.pdf data/papers/486d72b540cf65ff.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles arXiv 2018 https://arxiv.org/pdf/1805.11178v1 905b9b8001ce8278 data/papers/905b9b8001ce8278.pdf data/papers/905b9b8001ce8278.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fully Automated Organ Segmentation in Male Pelvic CT Images arXiv 2018 https://arxiv.org/pdf/1805.12526v2 5b2acbaccc2f5de2 data/papers/5b2acbaccc2f5de2.pdf data/papers/5b2acbaccc2f5de2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification arXiv 2018 https://arxiv.org/pdf/1806.00712v1 f6512f710fd2c86d data/papers/f6512f710fd2c86d.pdf data/papers/f6512f710fd2c86d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An unsupervised and customizable misspelling generator for mining noisy health-related text sources arXiv 2018 https://arxiv.org/pdf/1806.00910v1 dc226cb72eeab26c data/papers/dc226cb72eeab26c.pdf data/papers/dc226cb72eeab26c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Holographic Neural Architectures arXiv 2018 https://arxiv.org/pdf/1806.00931v1 b059540e07fd56b8 data/papers/b059540e07fd56b8.pdf data/papers/b059540e07fd56b8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images arXiv 2018 https://arxiv.org/pdf/1806.01313v1 48692755bdc87c10 data/papers/48692755bdc87c10.pdf data/papers/48692755bdc87c10.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Informative Gene Selection for Microarray Classification via Adaptive Elastic Net with Conditional Mutual Information arXiv 2018 https://arxiv.org/pdf/1806.01466v3 83d4a14601f2931b data/papers/83d4a14601f2931b.pdf data/papers/83d4a14601f2931b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Y-Net: A deep Convolutional Neural Network for Polyp Detection arXiv 2018 https://arxiv.org/pdf/1806.01907v1 7cd694a7ff6ece4e data/papers/7cd694a7ff6ece4e.pdf data/papers/7cd694a7ff6ece4e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images arXiv 2018 https://arxiv.org/pdf/1806.01963v4 d5045367556fb79a data/papers/d5045367556fb79a.pdf data/papers/d5045367556fb79a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Black Box FDR arXiv 2018 https://arxiv.org/pdf/1806.03143v1 c926aae36ee593a9 data/papers/c926aae36ee593a9.pdf data/papers/c926aae36ee593a9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Deep Similarity Metric for 3D MR-TRUS Registration arXiv 2018 https://arxiv.org/pdf/1806.04548v2 6e6eca1a7afac338 data/papers/6e6eca1a7afac338.pdf data/papers/6e6eca1a7afac338.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A cautionary tale on using imputation methods for inference in matched pairs design arXiv 2018 https://arxiv.org/pdf/1806.06551v2 f36057b6eb21f6a0 data/papers/f36057b6eb21f6a0.pdf data/papers/f36057b6eb21f6a0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning arXiv 2018 https://arxiv.org/pdf/1806.06595v1 7fa79a5ff86bc529 data/papers/7fa79a5ff86bc529.pdf data/papers/7fa79a5ff86bc529.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer Metastasis Detection With Neural Conditional Random Field arXiv 2018 https://arxiv.org/pdf/1806.07064v1 5dd243882b186b8f data/papers/5dd243882b186b8f.pdf data/papers/5dd243882b186b8f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fast CapsNet for Lung Cancer Screening arXiv 2018 https://arxiv.org/pdf/1806.07416v1 22c32edf1e8833c9 data/papers/22c32edf1e8833c9.pdf data/papers/22c32edf1e8833c9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Identifying viruses from metagenomic data by deep learning arXiv 2018 https://arxiv.org/pdf/1806.07810v1 359817fa13f8d00f data/papers/359817fa13f8d00f.pdf data/papers/359817fa13f8d00f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TriResNet: A Deep Triple-stream Residual Network for Histopathology Grading arXiv 2018 https://arxiv.org/pdf/1806.08463v1 8fc8d071e63392f9 data/papers/8fc8d071e63392f9.pdf data/papers/8fc8d071e63392f9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks arXiv 2018 https://arxiv.org/pdf/1806.09507v1 943bb45560aaab45 data/papers/943bb45560aaab45.pdf data/papers/943bb45560aaab45.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SkinNet: A Deep Learning Framework for Skin Lesion Segmentation arXiv 2018 https://arxiv.org/pdf/1806.09522v1 9c62676bb43da228 data/papers/9c62676bb43da228.pdf data/papers/9c62676bb43da228.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation arXiv 2018 https://arxiv.org/pdf/1806.10342v5 f8c75b5c53894848 data/papers/f8c75b5c53894848.pdf data/papers/f8c75b5c53894848.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images arXiv 2018 https://arxiv.org/pdf/1806.10850v1 b30087710b780e5f data/papers/b30087710b780e5f.pdf data/papers/b30087710b780e5f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Semi Supervised Generative Learning for Automated PD-L1 Tumor Cell Scoring on NSCLC Tissue Needle Biopsies arXiv 2018 https://arxiv.org/pdf/1806.11036v1 41b8dea06d5167a1 data/papers/41b8dea06d5167a1.pdf data/papers/41b8dea06d5167a1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks arXiv 2018 https://arxiv.org/pdf/1807.00583v1 b4c0fe13347195d4 data/papers/b4c0fe13347195d4.pdf data/papers/b4c0fe13347195d4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mammography Dual View Mass Correspondence arXiv 2018 https://arxiv.org/pdf/1807.00637v1 e073cb26fa17597a data/papers/e073cb26fa17597a.pdf data/papers/e073cb26fa17597a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Diagnosis via Classification Algorithms arXiv 2018 https://arxiv.org/pdf/1807.01334v1 16d6339f9c375562 data/papers/16d6339f9c375562.pdf data/papers/16d6339f9c375562.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images arXiv 2018 https://arxiv.org/pdf/1807.02152v1 8acb0365da16c3c7 data/papers/8acb0365da16c3c7.pdf data/papers/8acb0365da16c3c7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data Augmentation for Detection of Architectural Distortion in Digital Mammography using Deep Learning Approach arXiv 2018 https://arxiv.org/pdf/1807.03167v1 97a8af1e22af01f0 data/papers/97a8af1e22af01f0.pdf data/papers/97a8af1e22af01f0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data arXiv 2018 https://arxiv.org/pdf/1807.03227v1 371c069db7cccfab data/papers/371c069db7cccfab.pdf data/papers/371c069db7cccfab.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration arXiv 2018 https://arxiv.org/pdf/1807.03361v1 04de65000b1e7d4e data/papers/04de65000b1e7d4e.pdf data/papers/04de65000b1e7d4e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Estimating Cellular Goals from High-Dimensional Biological Data arXiv 2018 https://arxiv.org/pdf/1807.04245v4 bdcd38957059d2e6 data/papers/bdcd38957059d2e6.pdf data/papers/bdcd38957059d2e6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Single-phase Single-stage Detection of Pulmonary Nodules in Chest CT Imaging arXiv 2018 https://arxiv.org/pdf/1807.05972v1 18af33b47cf70e08 data/papers/18af33b47cf70e08.pdf data/papers/18af33b47cf70e08.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Knockoffs for the mass: new feature importance statistics with false discovery guarantees arXiv 2018 https://arxiv.org/pdf/1807.06214v2 3c9f04afc48f40eb data/papers/3c9f04afc48f40eb.pdf data/papers/3c9f04afc48f40eb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images arXiv 2018 https://arxiv.org/pdf/1807.06277v1 8b1e84e37d6baeb8 data/papers/8b1e84e37d6baeb8.pdf data/papers/8b1e84e37d6baeb8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks arXiv 2018 https://arxiv.org/pdf/1807.06489v1 d2b4038716bb58b1 data/papers/d2b4038716bb58b1.pdf data/papers/d2b4038716bb58b1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines arXiv 2018 https://arxiv.org/pdf/1807.06711v1 ab8ca8d9548c8705 data/papers/ab8ca8d9548c8705.pdf data/papers/ab8ca8d9548c8705.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computed Tomography Image Enhancement using 3D Convolutional Neural Network arXiv 2018 https://arxiv.org/pdf/1807.06821v1 941bb7549d6c0784 data/papers/941bb7549d6c0784.pdf data/papers/941bb7549d6c0784.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional Infilling GANs for Data Augmentation in Mammogram Classification arXiv 2018 https://arxiv.org/pdf/1807.08093v2 7717357d7ec7207a data/papers/7717357d7ec7207a.pdf data/papers/7717357d7ec7207a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Binacox: automatic cut-point detection in high-dimensional Cox model with applications in genetics arXiv 2018 https://arxiv.org/pdf/1807.09813v4 22956da7c624d22a data/papers/22956da7c624d22a.pdf data/papers/22956da7c624d22a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep Learning Framework for Automatic Diagnosis in Lung Cancer arXiv 2018 https://arxiv.org/pdf/1807.10466v1 e55b205507f2de69 data/papers/e55b205507f2de69.pdf data/papers/e55b205507f2de69.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network arXiv 2018 https://arxiv.org/pdf/1807.10552v1 bc3fb41b990cf4c2 data/papers/bc3fb41b990cf4c2.pdf data/papers/bc3fb41b990cf4c2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection arXiv 2018 https://arxiv.org/pdf/1807.10581v1 864bbdbb8411c270 data/papers/864bbdbb8411c270.pdf data/papers/864bbdbb8411c270.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +End-to-End Learning via a Convolutional Neural Network for Cancer Cell Line Classification arXiv 2018 https://arxiv.org/pdf/1807.10638v1 8a256fd873259f8c data/papers/8a256fd873259f8c.pdf data/papers/8a256fd873259f8c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The morphodynamics of 3D migrating cancer cells arXiv 2018 https://arxiv.org/pdf/1807.10822v2 97becb32d2a0c41d data/papers/97becb32d2a0c41d.pdf data/papers/97becb32d2a0c41d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection arXiv 2018 https://arxiv.org/pdf/1807.11677v1 9290507152d489de data/papers/9290507152d489de.pdf data/papers/9290507152d489de.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Inferring the ground truth through crowdsourcing arXiv 2018 https://arxiv.org/pdf/1807.11836v1 c00ed6d04ddceb50 data/papers/c00ed6d04ddceb50.pdf data/papers/c00ed6d04ddceb50.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of Dermoscopy Images using Deep Learning arXiv 2018 https://arxiv.org/pdf/1808.01607v1 2e7975a458ab9b1a data/papers/2e7975a458ab9b1a.pdf data/papers/2e7975a458ab9b1a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome arXiv 2018 https://arxiv.org/pdf/1808.02237v2 db2e1e4426fd9434 data/papers/db2e1e4426fd9434.pdf data/papers/db2e1e4426fd9434.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improved survival of cancer patients admitted to the ICU between 2002 and 2011 at a U.S. teaching hospital arXiv 2018 https://arxiv.org/pdf/1808.02766v1 5ea46bac49e35d7e data/papers/5ea46bac49e35d7e.pdf data/papers/5ea46bac49e35d7e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation arXiv 2018 https://arxiv.org/pdf/1808.04909v1 6763ec800a31da31 data/papers/6763ec800a31da31.pdf data/papers/6763ec800a31da31.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard arXiv 2018 https://arxiv.org/pdf/1808.05883v2 cdbadb18c7f3e564 data/papers/cdbadb18c7f3e564.pdf data/papers/cdbadb18c7f3e564.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CellLineNet: End-to-End Learning and Transfer Learning For Multiclass Epithelial Breast cell Line Classification via a Convolutional Neural Network arXiv 2018 https://arxiv.org/pdf/1808.06041v1 a939be9248830bac data/papers/a939be9248830bac.pdf data/papers/a939be9248830bac.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities arXiv 2018 https://arxiv.org/pdf/1808.07954v3 a35afffb0c1268ae data/papers/a35afffb0c1268ae.pdf data/papers/a35afffb0c1268ae.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using Apple Machine Learning Algorithms to Detect and Subclassify Non-Small Cell Lung Cancer arXiv 2018 https://arxiv.org/pdf/1808.08230v2 d62c79691971328f data/papers/d62c79691971328f.pdf data/papers/d62c79691971328f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Breast Cancer Detection using Symmetry Information with Deep Learning arXiv 2018 https://arxiv.org/pdf/1808.08273v1 2cae8efe7a6e9d0e data/papers/2cae8efe7a6e9d0e.pdf data/papers/2cae8efe7a6e9d0e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Structural Learning of Deep Belief Network for Medical Examination Data and Its Knowledge Extraction by using C4.5 arXiv 2018 https://arxiv.org/pdf/1808.08777v1 3b1975a7fa0df265 data/papers/3b1975a7fa0df265.pdf data/papers/3b1975a7fa0df265.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Image-based Survival Analysis for Lung Cancer Patients using CNNs arXiv 2018 https://arxiv.org/pdf/1808.09679v2 87eb881ef0059416 data/papers/87eb881ef0059416.pdf data/papers/87eb881ef0059416.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach arXiv 2018 https://arxiv.org/pdf/1808.10858v1 35ac5e783e79dc43 data/papers/35ac5e783e79dc43.pdf data/papers/35ac5e783e79dc43.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gene Shaving using influence function of a kernel method arXiv 2018 https://arxiv.org/pdf/1809.01625v1 3ce065e237512592 data/papers/3ce065e237512592.pdf data/papers/3ce065e237512592.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Combining Many-objective Radiomics and 3-dimensional Convolutional Neural Network through Evidential Reasoning to Predict Lymph Node Metastasis in Head and Neck Cancer arXiv 2018 https://arxiv.org/pdf/1809.01737v1 f9053af6a95e9c71 data/papers/f9053af6a95e9c71.pdf data/papers/f9053af6a95e9c71.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis arXiv 2018 https://arxiv.org/pdf/1809.01772v1 e23e1ab8f47df602 data/papers/e23e1ab8f47df602.pdf data/papers/e23e1ab8f47df602.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Infinite Curriculum Learning for Efficiently Detecting Gastric Ulcers in WCE Images arXiv 2018 https://arxiv.org/pdf/1809.02371v1 f957e5e99678f257 data/papers/f957e5e99678f257.pdf data/papers/f957e5e99678f257.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer Survival Curves in Iowa arXiv 2018 https://arxiv.org/pdf/1809.03323v1 c57d45585e6f9e33 data/papers/c57d45585e6f9e33.pdf data/papers/c57d45585e6f9e33.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SpRRAM: A Predefined Sparsity Based Memristive Neuromorphic Circuit for Low Power Application arXiv 2018 https://arxiv.org/pdf/1809.03476v1 511f3bf1bb1150ee data/papers/511f3bf1bb1150ee.pdf data/papers/511f3bf1bb1150ee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Estimating Bayesian Optimal Treatment Regimes for Dichotomous Outcomes using Observational Data arXiv 2018 https://arxiv.org/pdf/1809.06679v2 85cdb9a89c51e3e1 data/papers/85cdb9a89c51e3e1.pdf data/papers/85cdb9a89c51e3e1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting patient outcomes (TNBC) based on positions of cancer islands and CD8+ T cells using machine learning approach arXiv 2018 https://arxiv.org/pdf/1809.08534v1 30b5369426abe53b data/papers/30b5369426abe53b.pdf data/papers/30b5369426abe53b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modeling longitudinal data using matrix completion arXiv 2018 https://arxiv.org/pdf/1809.08771v2 ba661772f0f9d78b data/papers/ba661772f0f9d78b.pdf data/papers/ba661772f0f9d78b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue arXiv 2018 https://arxiv.org/pdf/1809.10196v1 e7d423d3c74904c8 data/papers/e7d423d3c74904c8.pdf data/papers/e7d423d3c74904c8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ConvPath: A Software Tool for Lung Adenocarcinoma Digital Pathological Image Analysis Aided by Convolutional Neural Network arXiv 2018 https://arxiv.org/pdf/1809.10240v1 c88728d4b987eca2 data/papers/c88728d4b987eca2.pdf data/papers/c88728d4b987eca2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images arXiv 2018 https://arxiv.org/pdf/1810.00236v2 574db1535608545d data/papers/574db1535608545d.pdf data/papers/574db1535608545d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound arXiv 2018 https://arxiv.org/pdf/1810.00322v4 1b2c20fac76f0037 data/papers/1b2c20fac76f0037.pdf data/papers/1b2c20fac76f0037.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep Autoencoder System for Differentiation of Cancer Types Based on DNA Methylation State arXiv 2018 https://arxiv.org/pdf/1810.01243v2 26ed7efd621a62c8 data/papers/26ed7efd621a62c8.pdf data/papers/26ed7efd621a62c8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Direct Prediction of Cardiovascular Mortality from Low-dose Chest CT using Deep Learning arXiv 2018 https://arxiv.org/pdf/1810.02277v1 3f8b126ec63a0264 data/papers/3f8b126ec63a0264.pdf data/papers/3f8b126ec63a0264.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer arXiv 2018 https://arxiv.org/pdf/1810.02492v2 2868d24bb8a2a969 data/papers/2868d24bb8a2a969.pdf data/papers/2868d24bb8a2a969.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification arXiv 2018 https://arxiv.org/pdf/1810.02797v3 a4724a4e13535fdc data/papers/a4724a4e13535fdc.pdf data/papers/a4724a4e13535fdc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data Scenario arXiv 2018 https://arxiv.org/pdf/1810.05952v5 c4ad68ff5e32256a data/papers/c4ad68ff5e32256a.pdf data/papers/c4ad68ff5e32256a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AdaPtive Noisy Data Augmentation (PANDA) for Simultaneous Construction of Multiple Graph Models arXiv 2018 https://arxiv.org/pdf/1810.08361v2 f696db261d47d51b data/papers/f696db261d47d51b.pdf data/papers/f696db261d47d51b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SL$^2$MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization arXiv 2018 https://arxiv.org/pdf/1810.08726v1 1b48a56e6016fe97 data/papers/1b48a56e6016fe97.pdf data/papers/1b48a56e6016fe97.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data arXiv 2018 https://arxiv.org/pdf/1810.09433v1 2df3a5f9b0561601 data/papers/2df3a5f9b0561601.pdf data/papers/2df3a5f9b0561601.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features arXiv 2018 https://arxiv.org/pdf/1810.09487v1 4a291cac48f38c0d data/papers/4a291cac48f38c0d.pdf data/papers/4a291cac48f38c0d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Radiomic Synthesis Using Deep Convolutional Neural Networks arXiv 2018 https://arxiv.org/pdf/1810.11090v2 4588f78e5c9cecfc data/papers/4588f78e5c9cecfc.pdf data/papers/4588f78e5c9cecfc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Amalgamation of Classical and Quantum Machine Learning For the Classification of Adenocarcinoma and Squamous Cell Carcinoma Patients arXiv 2018 https://arxiv.org/pdf/1810.11959v1 c345a332d5ef94b7 data/papers/c345a332d5ef94b7.pdf data/papers/c345a332d5ef94b7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Low dose CT reconstruction assisted by an image manifold prior arXiv 2018 https://arxiv.org/pdf/1810.12255v1 c58c7be2cc148e4e data/papers/c58c7be2cc148e4e.pdf data/papers/c58c7be2cc148e4e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Gene Expression to Drug Response: A Collaborative Filtering Approach arXiv 2018 https://arxiv.org/pdf/1810.12758v2 8f686bbe6b57fcbb data/papers/8f686bbe6b57fcbb.pdf data/papers/8f686bbe6b57fcbb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Methods for Segmentation and Classification of Digital Microscopy Tissue Images arXiv 2018 https://arxiv.org/pdf/1810.13230v2 9b448d028d359e29 data/papers/9b448d028d359e29.pdf data/papers/9b448d028d359e29.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Application of Deep Learning on Predicting Prognosis of Acute Myeloid Leukemia with Cytogenetics, Age, and Mutations arXiv 2018 https://arxiv.org/pdf/1810.13247v1 b46e059dfab87ba3 data/papers/b46e059dfab87ba3.pdf data/papers/b46e059dfab87ba3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +What evidence does deep learning model use to classify Skin Lesions? arXiv 2018 https://arxiv.org/pdf/1811.01051v3 da5862a57a293692 data/papers/da5862a57a293692.pdf data/papers/da5862a57a293692.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Volumetric Convolutional Neural Network for Brain Tumor Segmentation arXiv 2018 https://arxiv.org/pdf/1811.02654v1 b81ddd844efb4b01 data/papers/b81ddd844efb4b01.pdf data/papers/b81ddd844efb4b01.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis arXiv 2018 https://arxiv.org/pdf/1811.02661v1 8d1273e71e28bbc2 data/papers/8d1273e71e28bbc2.pdf data/papers/8d1273e71e28bbc2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advanced machine learning informatics modeling using clinical and radiological imaging metrics for characterizing breast tumor characteristics with the OncotypeDX gene array arXiv 2018 https://arxiv.org/pdf/1811.03218v1 81e18e085fc83753 data/papers/81e18e085fc83753.pdf data/papers/81e18e085fc83753.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches arXiv 2018 https://arxiv.org/pdf/1811.03447v1 4a2a62fc3bd3d78b data/papers/4a2a62fc3bd3d78b.pdf data/papers/4a2a62fc3bd3d78b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network arXiv 2018 https://arxiv.org/pdf/1811.04241v1 19de6635d6965c27 data/papers/19de6635d6965c27.pdf data/papers/19de6635d6965c27.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NExUS: Bayesian simultaneous network estimation across unequal sample sizes arXiv 2018 https://arxiv.org/pdf/1811.05405v1 d018eea3ac8ba2b3 data/papers/d018eea3ac8ba2b3.pdf data/papers/d018eea3ac8ba2b3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Bayesian Inversion arXiv 2018 https://arxiv.org/pdf/1811.05910v1 0e58d456c5d5431f data/papers/0e58d456c5d5431f.pdf data/papers/0e58d456c5d5431f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Development and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer arXiv 2018 https://arxiv.org/pdf/1811.06497v1 72c20a5afc4e6728 data/papers/72c20a5afc4e6728.pdf data/papers/72c20a5afc4e6728.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synergistic Drug Combination Prediction by Integrating Multi-omics Data in Deep Learning Models arXiv 2018 https://arxiv.org/pdf/1811.07054v1 9a26ed7841ed3529 data/papers/9a26ed7841ed3529.pdf data/papers/9a26ed7841ed3529.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Injecting and removing malignant features in mammography with CycleGAN: Investigation of an automated adversarial attack using neural networks arXiv 2018 https://arxiv.org/pdf/1811.07767v1 bb124df92f664fba data/papers/bb124df92f664fba.pdf data/papers/bb124df92f664fba.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synthetic Lung Nodule 3D Image Generation Using Autoencoders arXiv 2018 https://arxiv.org/pdf/1811.07999v3 31d46d4dd35a99dd data/papers/31d46d4dd35a99dd.pdf data/papers/31d46d4dd35a99dd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Causal Inference by String Diagram Surgery arXiv 2018 https://arxiv.org/pdf/1811.08338v2 62d0446d40c0a92c data/papers/62d0446d40c0a92c.pdf data/papers/62d0446d40c0a92c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides arXiv 2018 https://arxiv.org/pdf/1811.08513v2 c5d181a0c1e41a1c data/papers/c5d181a0c1e41a1c.pdf data/papers/c5d181a0c1e41a1c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing arXiv 2018 https://arxiv.org/pdf/1811.09063v1 e17b4d5fa840031d data/papers/e17b4d5fa840031d.pdf data/papers/e17b4d5fa840031d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A New Cervical Cytology Dataset for Nucleus Detection and Image Classification (Cervix93) and Methods for Cervical Nucleus Detection arXiv 2018 https://arxiv.org/pdf/1811.09651v1 77587a733cb7be2d data/papers/77587a733cb7be2d.pdf data/papers/77587a733cb7be2d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An adaptive treatment recommendation and outcome prediction model for metastatic melanoma arXiv 2018 https://arxiv.org/pdf/1811.09851v1 6a7390c55a1514fb data/papers/6a7390c55a1514fb.pdf data/papers/6a7390c55a1514fb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Intelligent Inverse Treatment Planning via Deep Reinforcement Learning, a Proof-of-Principle Study in High Dose-rate Brachytherapy for Cervical Cancer arXiv 2018 https://arxiv.org/pdf/1811.10102v1 6e4a09f78221e065 data/papers/6e4a09f78221e065.pdf data/papers/6e4a09f78221e065.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Framework for Implementing Machine Learning on Omics Data arXiv 2018 https://arxiv.org/pdf/1811.10455v1 be663da731dc3059 data/papers/be663da731dc3059.pdf data/papers/be663da731dc3059.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network arXiv 2018 https://arxiv.org/pdf/1811.12789v1 96aab4c6fa0a4d38 data/papers/96aab4c6fa0a4d38.pdf data/papers/96aab4c6fa0a4d38.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TIFTI: A Framework for Extracting Drug Intervals from Longitudinal Clinic Notes arXiv 2018 https://arxiv.org/pdf/1811.12793v2 e962184d98f685eb data/papers/e962184d98f685eb.pdf 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d2b95eafd45cf6ec data/papers/d2b95eafd45cf6ec.pdf data/papers/d2b95eafd45cf6ec.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable Deep Learning under Fire arXiv 2018 https://arxiv.org/pdf/1812.00891v3 b1bc37207ab61e4a data/papers/b1bc37207ab61e4a.pdf data/papers/b1bc37207ab61e4a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Disease Detection in Weakly Annotated Volumetric Medical Images using a Convolutional LSTM Network arXiv 2018 https://arxiv.org/pdf/1812.01087v1 358163a84151bfaf data/papers/358163a84151bfaf.pdf data/papers/358163a84151bfaf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Privacy-Preserving Distributed Deep Learning for Clinical Data arXiv 2018 https://arxiv.org/pdf/1812.01484v1 8c11e40f46a5d38a data/papers/8c11e40f46a5d38a.pdf data/papers/8c11e40f46a5d38a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lung Cancer Tumor Region Segmentation Using Recurrent 3D-DenseUNet arXiv 2018 https://arxiv.org/pdf/1812.01951v2 9a7a1eb7555c5e92 data/papers/9a7a1eb7555c5e92.pdf data/papers/9a7a1eb7555c5e92.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Skin Lesions Classification Using Convolutional Neural Networks in Clinical Images arXiv 2018 https://arxiv.org/pdf/1812.02316v1 d1f77e0944637834 data/papers/d1f77e0944637834.pdf data/papers/d1f77e0944637834.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dose-response modeling in high-throughput cancer drug screenings: An end-to-end approach arXiv 2018 https://arxiv.org/pdf/1812.05691v2 c160c5e7c032f316 data/papers/c160c5e7c032f316.pdf data/papers/c160c5e7c032f316.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization arXiv 2018 https://arxiv.org/pdf/1812.06625v1 3aeaa16ec32c7526 data/papers/3aeaa16ec32c7526.pdf data/papers/3aeaa16ec32c7526.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Active learning for efficiently training emulators of computationally expensive mathematical models arXiv 2018 https://arxiv.org/pdf/1812.07673v2 cdabf828a23e013a data/papers/cdabf828a23e013a.pdf data/papers/cdabf828a23e013a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, 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"{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Identification of Cancer -- Mesothelioma Disease Using Logistic Regression and Association Rule arXiv 2018 https://arxiv.org/pdf/1812.10384v2 d17c8d40f4de2355 data/papers/d17c8d40f4de2355.pdf data/papers/d17c8d40f4de2355.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Drug cell line interaction prediction arXiv 2018 https://arxiv.org/pdf/1812.11178v1 1821953d2b6a272c data/papers/1821953d2b6a272c.pdf data/papers/1821953d2b6a272c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification arXiv 2018 https://arxiv.org/pdf/1812.11560v1 b393e8999b0f93b7 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Rectal Cancer arXiv 2019 https://arxiv.org/pdf/1901.01449v1 0723008b824d33a6 data/papers/0723008b824d33a6.pdf data/papers/0723008b824d33a6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning arXiv 2019 https://arxiv.org/pdf/1901.03597v3 b9e4f2803eef88fd data/papers/b9e4f2803eef88fd.pdf data/papers/b9e4f2803eef88fd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Personalized Colorectal Cancer Survivability Prediction with Machine Learning Methods arXiv 2019 https://arxiv.org/pdf/1901.03896v1 9b7e09b64bec8317 data/papers/9b7e09b64bec8317.pdf data/papers/9b7e09b64bec8317.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data arXiv 2019 https://arxiv.org/pdf/1901.05958v1 c475f883ed6e0da6 data/papers/c475f883ed6e0da6.pdf data/papers/c475f883ed6e0da6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning a Generative Model of Cancer Metastasis arXiv 2019 https://arxiv.org/pdf/1901.06023v1 a8d5ed1413548b8f data/papers/a8d5ed1413548b8f.pdf data/papers/a8d5ed1413548b8f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution arXiv 2019 https://arxiv.org/pdf/1901.06405v1 97facd29b13ec109 data/papers/97facd29b13ec109.pdf data/papers/97facd29b13ec109.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reducing the Model Variance of a Rectal Cancer Segmentation Network arXiv 2019 https://arxiv.org/pdf/1901.07213v5 51ab17d0cb728846 data/papers/51ab17d0cb728846.pdf data/papers/51ab17d0cb728846.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +End-to-End Discriminative Deep Network for Liver Lesion Classification arXiv 2019 https://arxiv.org/pdf/1901.09483v1 8de320349e7d69b0 data/papers/8de320349e7d69b0.pdf data/papers/8de320349e7d69b0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Skin Lesion Classification Using Ensemble of Deep Neural Networks in ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection Challenge arXiv 2019 https://arxiv.org/pdf/1901.10802v1 992475b29a4f8456 data/papers/992475b29a4f8456.pdf data/papers/992475b29a4f8456.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Similar Image Search for Histopathology: SMILY arXiv 2019 https://arxiv.org/pdf/1901.11112v3 7033cabd5f391455 data/papers/7033cabd5f391455.pdf data/papers/7033cabd5f391455.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distinguishing between Normal and Cancer Cells Using Autoencoder Node Saliency arXiv 2019 https://arxiv.org/pdf/1901.11152v1 1ac06c662c141207 data/papers/1ac06c662c141207.pdf data/papers/1ac06c662c141207.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks arXiv 2019 https://arxiv.org/pdf/1901.11489v1 a8651a9d7dd87dd0 data/papers/a8651a9d7dd87dd0.pdf data/papers/a8651a9d7dd87dd0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Lesion Boundary Segmentation in Dermoscopic Images with Ensemble Deep Learning Methods arXiv 2019 https://arxiv.org/pdf/1902.00809v2 460a205b27c1330e data/papers/460a205b27c1330e.pdf data/papers/460a205b27c1330e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation arXiv 2019 https://arxiv.org/pdf/1902.03091v1 038409e44d9ccd18 data/papers/038409e44d9ccd18.pdf data/papers/038409e44d9ccd18.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans arXiv 2019 https://arxiv.org/pdf/1902.03233v3 c2ddfc2f2bf5d066 data/papers/c2ddfc2f2bf5d066.pdf data/papers/c2ddfc2f2bf5d066.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles arXiv 2019 https://arxiv.org/pdf/1902.03582v2 9d70a15a0ba81a40 data/papers/9d70a15a0ba81a40.pdf data/papers/9d70a15a0ba81a40.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Automatic Lesion Classification in the Upper Aerodigestive Tract Using OCT and Deep Transfer Learning Methods arXiv 2019 https://arxiv.org/pdf/1902.03618v1 a42ff3f7419a4481 data/papers/a42ff3f7419a4481.pdf data/papers/a42ff3f7419a4481.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications arXiv 2019 https://arxiv.org/pdf/1902.03825v4 6667f141b9a1088d data/papers/6667f141b9a1088d.pdf data/papers/6667f141b9a1088d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Extended 2D Consensus Hippocampus Segmentation arXiv 2019 https://arxiv.org/pdf/1902.04487v5 86ccd681c5c6c9f5 data/papers/86ccd681c5c6c9f5.pdf data/papers/86ccd681c5c6c9f5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Automated Melanoma Detection with Deep Learning: Data Purification and Augmentation arXiv 2019 https://arxiv.org/pdf/1902.06061v2 90e0ae6c40436217 data/papers/90e0ae6c40436217.pdf data/papers/90e0ae6c40436217.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Large-scale mammography CAD with Deformable Conv-Nets arXiv 2019 https://arxiv.org/pdf/1902.07323v1 4305d711420a5ad1 data/papers/4305d711420a5ad1.pdf data/papers/4305d711420a5ad1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Knowledge-based Analysis for Mortality Prediction from CT Images arXiv 2019 https://arxiv.org/pdf/1902.07687v2 0866e4b34ab705a3 data/papers/0866e4b34ab705a3.pdf data/papers/0866e4b34ab705a3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation arXiv 2019 https://arxiv.org/pdf/1902.08128v2 555671830ad39079 data/papers/555671830ad39079.pdf data/papers/555671830ad39079.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics arXiv 2019 https://arxiv.org/pdf/1902.08236v1 72a90214b88f7596 data/papers/72a90214b88f7596.pdf data/papers/72a90214b88f7596.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder arXiv 2019 https://arxiv.org/pdf/1902.08670v3 7e141178234c5020 data/papers/7e141178234c5020.pdf data/papers/7e141178234c5020.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract arXiv 2019 https://arxiv.org/pdf/1902.08985v2 c8d65f9a039e9bb4 data/papers/c8d65f9a039e9bb4.pdf data/papers/c8d65f9a039e9bb4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification arXiv 2019 https://arxiv.org/pdf/1902.10946v1 a847f093baa354c5 data/papers/a847f093baa354c5.pdf data/papers/a847f093baa354c5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer arXiv 2019 https://arxiv.org/pdf/1903.01214v1 521bb33a4c16a7e8 data/papers/521bb33a4c16a7e8.pdf data/papers/521bb33a4c16a7e8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification arXiv 2019 https://arxiv.org/pdf/1903.03313v4 b5d0dc21113224f0 data/papers/b5d0dc21113224f0.pdf data/papers/b5d0dc21113224f0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning for Automated Medical Image Analysis arXiv 2019 https://arxiv.org/pdf/1903.04711v1 e327922b6e4cd32b data/papers/e327922b6e4cd32b.pdf data/papers/e327922b6e4cd32b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary arXiv 2019 https://arxiv.org/pdf/1903.05257v1 f3c838339f22525d data/papers/f3c838339f22525d.pdf data/papers/f3c838339f22525d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Prostate Cancer Detection with Breast Histopathology Images arXiv 2019 https://arxiv.org/pdf/1903.05769v1 df44424ba3ae2fb0 data/papers/df44424ba3ae2fb0.pdf data/papers/df44424ba3ae2fb0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Classification of Pathology Reports using TF-IDF Features arXiv 2019 https://arxiv.org/pdf/1903.07406v1 4e3a48d688ebe378 data/papers/4e3a48d688ebe378.pdf data/papers/4e3a48d688ebe378.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semiparametric Methods for Exposure Misclassification in Propensity Score-Based Time-to-Event Data Analysis arXiv 2019 https://arxiv.org/pdf/1903.07782v2 5570c33c3fb4deba data/papers/5570c33c3fb4deba.pdf data/papers/5570c33c3fb4deba.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI arXiv 2019 https://arxiv.org/pdf/1903.07988v1 f8cdfafaeaac4b35 data/papers/f8cdfafaeaac4b35.pdf data/papers/f8cdfafaeaac4b35.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening arXiv 2019 https://arxiv.org/pdf/1903.08297v1 16bd1dd3b2c61f30 data/papers/16bd1dd3b2c61f30.pdf data/papers/16bd1dd3b2c61f30.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Individualized Multilayer Tensor Learning with An Application in Imaging Analysis arXiv 2019 https://arxiv.org/pdf/1903.08871v1 a26f21c42267155a data/papers/a26f21c42267155a.pdf data/papers/a26f21c42267155a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated pulmonary nodule detection using 3D deep convolutional neural networks arXiv 2019 https://arxiv.org/pdf/1903.09876v1 326780228152cb22 data/papers/326780228152cb22.pdf data/papers/326780228152cb22.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gene Expression based Survival Prediction for Cancer Patients: A Topic Modeling Approach arXiv 2019 https://arxiv.org/pdf/1903.10536v2 88644ed15f2b49fa data/papers/88644ed15f2b49fa.pdf data/papers/88644ed15f2b49fa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring arXiv 2019 https://arxiv.org/pdf/1903.10762v1 b51c4b0357cc7676 data/papers/b51c4b0357cc7676.pdf data/papers/b51c4b0357cc7676.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Feature Selection for Data Integration with Mixed Multi-view Data arXiv 2019 https://arxiv.org/pdf/1903.11232v2 7cdfc7c3496e1307 data/papers/7cdfc7c3496e1307.pdf data/papers/7cdfc7c3496e1307.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep segmentation networks predict survival of non-small cell lung cancer arXiv 2019 https://arxiv.org/pdf/1903.11593v2 96c12542ac7c1b25 data/papers/96c12542ac7c1b25.pdf data/papers/96c12542ac7c1b25.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stable prediction with radiomics data arXiv 2019 https://arxiv.org/pdf/1903.11696v1 b1538236912ebb98 data/papers/b1538236912ebb98.pdf data/papers/b1538236912ebb98.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Virtual Doctor: An Interactive Artificial Intelligence based on Deep Learning for Non-Invasive Prediction of Diabetes arXiv 2019 https://arxiv.org/pdf/1903.12069v1 86ed2d4e76ba3d99 data/papers/86ed2d4e76ba3d99.pdf data/papers/86ed2d4e76ba3d99.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study arXiv 2019 https://arxiv.org/pdf/1903.12571v1 58795fa931cbea4e data/papers/58795fa931cbea4e.pdf data/papers/58795fa931cbea4e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images arXiv 2019 https://arxiv.org/pdf/1904.00839v1 2f38a8ab0b101279 data/papers/2f38a8ab0b101279.pdf data/papers/2f38a8ab0b101279.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quantitative phase microscopy spatial signatures of cancer cells arXiv 2019 https://arxiv.org/pdf/1904.00997v1 8ff27d6427420b2c data/papers/8ff27d6427420b2c.pdf data/papers/8ff27d6427420b2c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BIRADS Features-Oriented Semi-supervised Deep Learning for Breast Ultrasound Computer-Aided Diagnosis arXiv 2019 https://arxiv.org/pdf/1904.01076v1 fe1f7c51facbf29b data/papers/fe1f7c51facbf29b.pdf data/papers/fe1f7c51facbf29b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Personalized Cancer Chemotherapy Schedule: a numerical comparison of performance and robustness in model-based and model-free scheduling methodologies arXiv 2019 https://arxiv.org/pdf/1904.01200v3 b84f45d608ebc310 data/papers/b84f45d608ebc310.pdf data/papers/b84f45d608ebc310.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards annotation-efficient segmentation via image-to-image translation arXiv 2019 https://arxiv.org/pdf/1904.01636v4 e91b1ce2812eb069 data/papers/e91b1ce2812eb069.pdf data/papers/e91b1ce2812eb069.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Clinical Outcomes from Heterogeneous Genomic Data Sources arXiv 2019 https://arxiv.org/pdf/1904.01637v1 cd953b9346ca9dd5 data/papers/cd953b9346ca9dd5.pdf data/papers/cd953b9346ca9dd5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HST resolves stars in a tiny body falling on the dwarf galaxy DDO 68 arXiv 2019 https://arxiv.org/pdf/1904.01986v3 6e99e41f7db94bb5 data/papers/6e99e41f7db94bb5.pdf data/papers/6e99e41f7db94bb5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Radiotherapy Target Contouring with Convolutional Gated Graph Neural Network arXiv 2019 https://arxiv.org/pdf/1904.03086v1 1c841b7ac0a70a3d data/papers/1c841b7ac0a70a3d.pdf data/papers/1c841b7ac0a70a3d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule Detection arXiv 2019 https://arxiv.org/pdf/1904.03501v2 4bdd769ecce4557a data/papers/4bdd769ecce4557a.pdf data/papers/4bdd769ecce4557a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Regression Concept Vectors for Bidirectional Explanations in Histopathology arXiv 2019 https://arxiv.org/pdf/1904.04520v1 3735eb571c2ad209 data/papers/3735eb571c2ad209.pdf data/papers/3735eb571c2ad209.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable Classification from Skin Cancer Histology Slides Using Deep Learning: A Retrospective Multicenter Study arXiv 2019 https://arxiv.org/pdf/1904.06156v1 b9a187a8dde6587b data/papers/b9a187a8dde6587b.pdf data/papers/b9a187a8dde6587b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data arXiv 2019 https://arxiv.org/pdf/1904.06969v1 b3ee2379e947efb8 data/papers/b3ee2379e947efb8.pdf data/papers/b3ee2379e947efb8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Medical Literature Search System for Identifying Effective Treatments in Precision Medicine arXiv 2019 https://arxiv.org/pdf/1904.07428v2 3f7803ca39372e15 data/papers/3f7803ca39372e15.pdf data/papers/3f7803ca39372e15.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Histopathologic Image Processing: A Review arXiv 2019 https://arxiv.org/pdf/1904.07900v1 8842038fbbdbb9e9 data/papers/8842038fbbdbb9e9.pdf data/papers/8842038fbbdbb9e9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets arXiv 2019 https://arxiv.org/pdf/1904.08254v2 cdaf0d3605b4ca75 data/papers/cdaf0d3605b4ca75.pdf data/papers/cdaf0d3605b4ca75.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepNovoV2: Better de novo peptide sequencing with deep learning arXiv 2019 https://arxiv.org/pdf/1904.08514v2 e6a50c3d5dddf0a4 data/papers/e6a50c3d5dddf0a4.pdf data/papers/e6a50c3d5dddf0a4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +(De)Constructing Bias on Skin Lesion Datasets arXiv 2019 https://arxiv.org/pdf/1904.08818v1 146d43b27ac8e916 data/papers/146d43b27ac8e916.pdf data/papers/146d43b27ac8e916.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry arXiv 2019 https://arxiv.org/pdf/1904.09233v2 8ce898b0b11223c7 data/papers/8ce898b0b11223c7.pdf data/papers/8ce898b0b11223c7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computer-aided diagnosis in histopathological images of the endometrium using a convolutional neural network and attention mechanisms arXiv 2019 https://arxiv.org/pdf/1904.10626v1 6c42ca87eb005d05 data/papers/6c42ca87eb005d05.pdf data/papers/6c42ca87eb005d05.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data arXiv 2019 https://arxiv.org/pdf/1904.10743v1 128ff390b8f589d5 data/papers/128ff390b8f589d5.pdf data/papers/128ff390b8f589d5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks arXiv 2019 https://arxiv.org/pdf/1904.11126v1 aa60e4075a22d229 data/papers/aa60e4075a22d229.pdf data/papers/aa60e4075a22d229.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders arXiv 2019 https://arxiv.org/pdf/1904.11223v3 077f762ba57ee107 data/papers/077f762ba57ee107.pdf data/papers/077f762ba57ee107.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes arXiv 2019 https://arxiv.org/pdf/1904.12617v1 916fc6a039ea9a33 data/papers/916fc6a039ea9a33.pdf data/papers/916fc6a039ea9a33.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout arXiv 2019 https://arxiv.org/pdf/1904.12904v1 7ec75471235af32e data/papers/7ec75471235af32e.pdf data/papers/7ec75471235af32e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Composite local low-rank structure in learning drug sensitivity arXiv 2019 https://arxiv.org/pdf/1905.00095v2 bb97917addb74253 data/papers/bb97917addb74253.pdf data/papers/bb97917addb74253.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Fast Deep Learning Approach for Beam Orientation Optimization for Prostate Cancer IMRT Treatments arXiv 2019 https://arxiv.org/pdf/1905.00523v2 67ccf78d2150c6f8 data/papers/67ccf78d2150c6f8.pdf data/papers/67ccf78d2150c6f8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis arXiv 2019 https://arxiv.org/pdf/1905.01040v2 fe396bb120b644ce data/papers/fe396bb120b644ce.pdf data/papers/fe396bb120b644ce.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lesion Segmentation in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets arXiv 2019 https://arxiv.org/pdf/1905.01902v4 f9000c396c04b556 data/papers/f9000c396c04b556.pdf data/papers/f9000c396c04b556.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection arXiv 2019 https://arxiv.org/pdf/1905.03445v1 8972bf1acbfe7bac data/papers/8972bf1acbfe7bac.pdf data/papers/8972bf1acbfe7bac.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Tumor Classification and Segmentation using Convolutional Neural Networks arXiv 2019 https://arxiv.org/pdf/1905.04247v1 93cab121199ee38a data/papers/93cab121199ee38a.pdf data/papers/93cab121199ee38a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification arXiv 2019 https://arxiv.org/pdf/1905.06820v1 3634830f7de7abd3 data/papers/3634830f7de7abd3.pdf data/papers/3634830f7de7abd3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT arXiv 2019 https://arxiv.org/pdf/1905.07710v1 fe177f0945526630 data/papers/fe177f0945526630.pdf data/papers/fe177f0945526630.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images arXiv 2019 https://arxiv.org/pdf/1905.07991v1 70d15b7a1feff1ce data/papers/70d15b7a1feff1ce.pdf data/papers/70d15b7a1feff1ce.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TopoResNet: A hybrid deep learning architecture and its application to skin lesion classification arXiv 2019 https://arxiv.org/pdf/1905.08607v1 5f72971d87438c52 data/papers/5f72971d87438c52.pdf data/papers/5f72971d87438c52.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Skin Cancer Recognition using Deep Residual Network arXiv 2019 https://arxiv.org/pdf/1905.08610v1 83b41f2001b2e73e data/papers/83b41f2001b2e73e.pdf data/papers/83b41f2001b2e73e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine learning approach for segmenting glands in colon histology images using local intensity and texture features arXiv 2019 https://arxiv.org/pdf/1905.08611v1 e3d93f2f45a5f20e data/papers/e3d93f2f45a5f20e.pdf data/papers/e3d93f2f45a5f20e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Kernel Wasserstein Distance arXiv 2019 https://arxiv.org/pdf/1905.09314v1 890ad4cef185c8c7 data/papers/890ad4cef185c8c7.pdf data/papers/890ad4cef185c8c7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma arXiv 2019 https://arxiv.org/pdf/1905.09888v2 e9f38457f503c708 data/papers/e9f38457f503c708.pdf data/papers/e9f38457f503c708.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images arXiv 2019 https://arxiv.org/pdf/1905.10959v1 1767e196eefdf84f data/papers/1767e196eefdf84f.pdf data/papers/1767e196eefdf84f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Convolutional Restricted Boltzmann Machine Based-Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer arXiv 2019 https://arxiv.org/pdf/1905.13312v1 bf05af36d07a457b data/papers/bf05af36d07a457b.pdf data/papers/bf05af36d07a457b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lung cancer screening with low-dose CT scans using a deep learning approach arXiv 2019 https://arxiv.org/pdf/1906.00240v1 a36542b2784e74a0 data/papers/a36542b2784e74a0.pdf data/papers/a36542b2784e74a0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Incorporating Biological Knowledge with Factor Graph Neural Network for Interpretable Deep Learning arXiv 2019 https://arxiv.org/pdf/1906.00537v1 67a14c5506c01c86 data/papers/67a14c5506c01c86.pdf data/papers/67a14c5506c01c86.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging arXiv 2019 https://arxiv.org/pdf/1906.01828v1 401267cf01aeeaeb data/papers/401267cf01aeeaeb.pdf data/papers/401267cf01aeeaeb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AI-Skin : Skin Disease Recognition based on Self-learning and Wide Data Collection through a Closed Loop Framework arXiv 2019 https://arxiv.org/pdf/1906.01895v1 58b2afff5f4e04db data/papers/58b2afff5f4e04db.pdf data/papers/58b2afff5f4e04db.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning arXiv 2019 https://arxiv.org/pdf/1906.02299v1 6119cc9f6b54dedb data/papers/6119cc9f6b54dedb.pdf data/papers/6119cc9f6b54dedb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Globally-Aware Multiple Instance Classifier for Breast Cancer Screening arXiv 2019 https://arxiv.org/pdf/1906.02846v2 43148bd7e6559bf5 data/papers/43148bd7e6559bf5.pdf data/papers/43148bd7e6559bf5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis arXiv 2019 https://arxiv.org/pdf/1906.02999v1 90beb858ea2c01d5 data/papers/90beb858ea2c01d5.pdf data/papers/90beb858ea2c01d5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm arXiv 2019 https://arxiv.org/pdf/1906.03720v1 ec4bf40f5a8699d7 data/papers/ec4bf40f5a8699d7.pdf data/papers/ec4bf40f5a8699d7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integrative Factorization of Bidimensionally Linked Matrices arXiv 2019 https://arxiv.org/pdf/1906.03722v1 52babb18e948b51b data/papers/52babb18e948b51b.pdf data/papers/52babb18e948b51b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multiparametric Deep Learning and Radiomics for Tumor Grading and Treatment Response Assessment of Brain Cancer: Preliminary Results arXiv 2019 https://arxiv.org/pdf/1906.04049v1 799cd453957c696d data/papers/799cd453957c696d.pdf data/papers/799cd453957c696d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +k-Nearest Neighbor Optimization via Randomized Hyperstructure Convex Hull arXiv 2019 https://arxiv.org/pdf/1906.04559v1 3205f791a6a8eea8 data/papers/3205f791a6a8eea8.pdf data/papers/3205f791a6a8eea8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis arXiv 2019 https://arxiv.org/pdf/1906.05845v2 d0ca0167d309b662 data/papers/d0ca0167d309b662.pdf data/papers/d0ca0167d309b662.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Correlating Twitter Language with Community-Level Health Outcomes arXiv 2019 https://arxiv.org/pdf/1906.06465v2 e88bb6def32a9e90 data/papers/e88bb6def32a9e90.pdf data/papers/e88bb6def32a9e90.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Convolutional neural network models for cancer type prediction based on gene expression arXiv 2019 https://arxiv.org/pdf/1906.07794v1 b691938bcc435774 data/papers/b691938bcc435774.pdf data/papers/b691938bcc435774.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic target positioning and tracking for image-guided radiotherapy without implanted fiducials arXiv 2019 https://arxiv.org/pdf/1906.08427v1 83ee8d22d24862c5 data/papers/83ee8d22d24862c5.pdf data/papers/83ee8d22d24862c5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Simplex2Vec embeddings for community detection in simplicial complexes arXiv 2019 https://arxiv.org/pdf/1906.09068v1 bcd96be6f008afc7 data/papers/bcd96be6f008afc7.pdf data/papers/bcd96be6f008afc7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases arXiv 2019 https://arxiv.org/pdf/1906.09587v1 e354232c29c8ff1f data/papers/e354232c29c8ff1f.pdf data/papers/e354232c29c8ff1f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DASGAN -- Joint Domain Adaptation and Segmentation for the Analysis of Epithelial Regions in Histopathology PD-L1 Images arXiv 2019 https://arxiv.org/pdf/1906.11118v1 1ca0af935e992d8f data/papers/1ca0af935e992d8f.pdf data/papers/1ca0af935e992d8f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Consensus Monte Carlo for Random Subsets using Shared Anchors arXiv 2019 https://arxiv.org/pdf/1906.12309v2 00bcbdfa7f3c012b data/papers/00bcbdfa7f3c012b.pdf data/papers/00bcbdfa7f3c012b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates arXiv 2019 https://arxiv.org/pdf/1907.00287v2 6bae92d744aa51e9 data/papers/6bae92d744aa51e9.pdf data/papers/6bae92d744aa51e9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis arXiv 2019 https://arxiv.org/pdf/1907.00300v2 0aaee6e9bd92bd55 data/papers/0aaee6e9bd92bd55.pdf data/papers/0aaee6e9bd92bd55.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of Small Molecule Kinase Inhibitors for Chemotherapy Using Deep Learning arXiv 2019 https://arxiv.org/pdf/1907.00329v1 01d1a809f9248619 data/papers/01d1a809f9248619.pdf data/papers/01d1a809f9248619.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +INN: Inflated Neural Networks for IPMN Diagnosis arXiv 2019 https://arxiv.org/pdf/1907.00437v1 101daffa266fb5e7 data/papers/101daffa266fb5e7.pdf data/papers/101daffa266fb5e7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-view Relation Networks for Mammogram Mass Detection arXiv 2019 https://arxiv.org/pdf/1907.00528v1 bd2dc8a4ed438eb4 data/papers/bd2dc8a4ed438eb4.pdf data/papers/bd2dc8a4ed438eb4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual Network Architecture for Few-view CT -- Trained on ImageNet Data and Transferred for Medical Imaging arXiv 2019 https://arxiv.org/pdf/1907.01262v6 6683d99aeb040389 data/papers/6683d99aeb040389.pdf data/papers/6683d99aeb040389.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Deformable Image Registration Using Cycle-Consistent CNN arXiv 2019 https://arxiv.org/pdf/1907.01319v1 d1155af81e0d73f4 data/papers/d1155af81e0d73f4.pdf data/papers/d1155af81e0d73f4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence arXiv 2019 https://arxiv.org/pdf/1907.01368v1 d5ce7603e1150780 data/papers/d5ce7603e1150780.pdf data/papers/d5ce7603e1150780.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Semi-Supervised Framework for Automatic Pixel-Wise Breast Cancer Grading of Histological Images arXiv 2019 https://arxiv.org/pdf/1907.01696v2 51914ae1f2f95733 data/papers/51914ae1f2f95733.pdf data/papers/51914ae1f2f95733.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable Counterfactual Explanations Guided by Prototypes arXiv 2019 https://arxiv.org/pdf/1907.02584v2 ba6328b9ca5d3655 data/papers/ba6328b9ca5d3655.pdf data/papers/ba6328b9ca5d3655.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PathologyGAN: Learning deep representations of cancer tissue arXiv 2019 https://arxiv.org/pdf/1907.02644v5 ba4f71c7a7e4b7af data/papers/ba4f71c7a7e4b7af.pdf data/papers/ba4f71c7a7e4b7af.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet arXiv 2019 https://arxiv.org/pdf/1907.03220v3 2701a979edc0c197 data/papers/2701a979edc0c197.pdf data/papers/2701a979edc0c197.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network arXiv 2019 https://arxiv.org/pdf/1907.03728v1 6ffc0f36b7432eeb data/papers/6ffc0f36b7432eeb.pdf data/papers/6ffc0f36b7432eeb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types arXiv 2019 https://arxiv.org/pdf/1907.03960v1 5d62a6e0ff104ccb data/papers/5d62a6e0ff104ccb.pdf data/papers/5d62a6e0ff104ccb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Mass Detection in Breast Using Deep Convolutional Neural Network and SVM Classifier arXiv 2019 https://arxiv.org/pdf/1907.04424v1 d7df1f3675a45df7 data/papers/d7df1f3675a45df7.pdf data/papers/d7df1f3675a45df7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An AI-Augmented Lesion Detection Framework For Liver Metastases With Model Interpretability arXiv 2019 https://arxiv.org/pdf/1907.07713v1 cb434ffd78dfa7f0 data/papers/cb434ffd78dfa7f0.pdf data/papers/cb434ffd78dfa7f0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Gleason Grading of Prostate Biopsies using Deep Learning arXiv 2019 https://arxiv.org/pdf/1907.07980v1 67485da068de2e19 data/papers/67485da068de2e19.pdf data/papers/67485da068de2e19.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal Modeling arXiv 2019 https://arxiv.org/pdf/1907.08915v2 0d1495248f42cb3b data/papers/0d1495248f42cb3b.pdf data/papers/0d1495248f42cb3b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images arXiv 2019 https://arxiv.org/pdf/1907.09478v1 e15e3867a177a7bc data/papers/e15e3867a177a7bc.pdf data/papers/e15e3867a177a7bc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluation of Embeddings of Laboratory Test Codes for Patients at a Cancer Center arXiv 2019 https://arxiv.org/pdf/1907.09600v2 3a4fe47c14bf7e04 data/papers/3a4fe47c14bf7e04.pdf data/papers/3a4fe47c14bf7e04.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Whole-Sample Mapping of Cancerous and Benign Tissue Properties arXiv 2019 https://arxiv.org/pdf/1907.09974v1 818e5b6d0742de29 data/papers/818e5b6d0742de29.pdf data/papers/818e5b6d0742de29.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Delving Deep into Liver Focal Lesion Detection: A Preliminary Study arXiv 2019 https://arxiv.org/pdf/1907.10346v1 fedac4cdca318a71 data/papers/fedac4cdca318a71.pdf data/papers/fedac4cdca318a71.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems arXiv 2019 https://arxiv.org/pdf/1907.10456v2 06d2aa0ce3c87087 data/papers/06d2aa0ce3c87087.pdf data/papers/06d2aa0ce3c87087.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic microscopic image analysis by moving window local Fourier Transform and Machine Learning arXiv 2019 https://arxiv.org/pdf/1907.10929v2 d5d59d066db6d742 data/papers/d5d59d066db6d742.pdf data/papers/d5d59d066db6d742.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mining Twitter to Assess the Determinants of Health Behavior towards Human Papillomavirus Vaccination in the United States arXiv 2019 https://arxiv.org/pdf/1907.11624v1 c83d6be6296cf595 data/papers/c83d6be6296cf595.pdf data/papers/c83d6be6296cf595.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning arXiv 2019 https://arxiv.org/pdf/1907.11704v1 c329e62eaf9acdcb data/papers/c329e62eaf9acdcb.pdf data/papers/c329e62eaf9acdcb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Genetic Deep Learning for Lung Cancer Screening arXiv 2019 https://arxiv.org/pdf/1907.11849v1 b5bbe85e327a3d84 data/papers/b5bbe85e327a3d84.pdf data/papers/b5bbe85e327a3d84.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep convolution neural network model for automatic risk assessment of patients with non-metastatic nasopharyngeal carcinoma arXiv 2019 https://arxiv.org/pdf/1907.11861v1 36c8fe4df14e669d data/papers/36c8fe4df14e669d.pdf data/papers/36c8fe4df14e669d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Effect of Adding Probabilistic Zonal Prior in Deep Learning-based Prostate Cancer Detection arXiv 2019 https://arxiv.org/pdf/1907.12382v1 be36e1bd3973623d data/papers/be36e1bd3973623d.pdf data/papers/be36e1bd3973623d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy arXiv 2019 https://arxiv.org/pdf/1907.12868v1 4bde12625fc52f9d data/papers/4bde12625fc52f9d.pdf data/papers/4bde12625fc52f9d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation arXiv 2019 https://arxiv.org/pdf/1907.12926v1 ead77c8f98016e01 data/papers/ead77c8f98016e01.pdf data/papers/ead77c8f98016e01.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Screening Mammogram Classification with Prior Exams arXiv 2019 https://arxiv.org/pdf/1907.13057v1 8537f172682b3736 data/papers/8537f172682b3736.pdf data/papers/8537f172682b3736.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving localization-based approaches for breast cancer screening exam classification arXiv 2019 https://arxiv.org/pdf/1908.00615v1 6df22bf9849f4029 data/papers/6df22bf9849f4029.pdf data/papers/6df22bf9849f4029.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning for automatic tumour segmentation in PET/CT images of patients with head and neck cancers arXiv 2019 https://arxiv.org/pdf/1908.00841v1 c5e11b8e8be46ca0 data/papers/c5e11b8e8be46ca0.pdf data/papers/c5e11b8e8be46ca0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Regression Constraint for an Explainable Cervical Cancer Classifier arXiv 2019 https://arxiv.org/pdf/1908.02650v2 1e0c8c4da22da2dc data/papers/1e0c8c4da22da2dc.pdf data/papers/1e0c8c4da22da2dc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease arXiv 2019 https://arxiv.org/pdf/1908.03272v1 ebda0c6ccd8e75e8 data/papers/ebda0c6ccd8e75e8.pdf data/papers/ebda0c6ccd8e75e8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synthetic Elastography using B-mode Ultrasound through a Deep Fully-Convolutional Neural Network arXiv 2019 https://arxiv.org/pdf/1908.03573v2 f27604574478952b data/papers/f27604574478952b.pdf data/papers/f27604574478952b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning brain conductivity mapping using a patch-based 3D U-net arXiv 2019 https://arxiv.org/pdf/1908.04118v1 e5703a9fa12832f3 data/papers/e5703a9fa12832f3.pdf data/papers/e5703a9fa12832f3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepMCDose: A Deep Learning Method for Efficient Monte Carlo Beamlet Dose Calculation by Predictive Denoising in MR-Guided Radiotherapy arXiv 2019 https://arxiv.org/pdf/1908.04437v1 8bbdbb1e4c9b801b data/papers/8bbdbb1e4c9b801b.pdf data/papers/8bbdbb1e4c9b801b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI arXiv 2019 https://arxiv.org/pdf/1908.04701v1 735b5ea5db1cacd4 data/papers/735b5ea5db1cacd4.pdf data/papers/735b5ea5db1cacd4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generation of abdominal synthetic CTs from 0.35T MR images using generative adversarial networks for MR-only liver radiotherapy arXiv 2019 https://arxiv.org/pdf/1908.04809v1 3c696c5fa7e4d77a data/papers/3c696c5fa7e4d77a.pdf data/papers/3c696c5fa7e4d77a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification arXiv 2019 https://arxiv.org/pdf/1908.06278v1 ae805f866fe8fcae data/papers/ae805f866fe8fcae.pdf data/papers/ae805f866fe8fcae.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep neural network or dermatologist? arXiv 2019 https://arxiv.org/pdf/1908.06612v1 fd22bbe1fb9ec236 data/papers/fd22bbe1fb9ec236.pdf data/papers/fd22bbe1fb9ec236.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The efficacy of various machine learning models for multi-class classification of RNA-seq expression data arXiv 2019 https://arxiv.org/pdf/1908.06817v1 75b2730499e0cf7b data/papers/75b2730499e0cf7b.pdf data/papers/75b2730499e0cf7b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks arXiv 2019 https://arxiv.org/pdf/1908.07362v2 74901635a727ead1 data/papers/74901635a727ead1.pdf data/papers/74901635a727ead1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Supervised prediction of aging-related genes from a context-specific protein interaction subnetwork arXiv 2019 https://arxiv.org/pdf/1908.08135v4 b955ca54b4e78c0f data/papers/b955ca54b4e78c0f.pdf data/papers/b955ca54b4e78c0f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A CNN toolbox for skin cancer classification arXiv 2019 https://arxiv.org/pdf/1908.08187v1 8ec310cf564aa90f data/papers/8ec310cf564aa90f.pdf data/papers/8ec310cf564aa90f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Ultrasound Computer-Aided Diagnosis Using Structure-Aware Triplet Path Networks arXiv 2019 https://arxiv.org/pdf/1908.09825v2 3a369d2dd2ae72dd data/papers/3a369d2dd2ae72dd.pdf data/papers/3a369d2dd2ae72dd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques arXiv 2019 https://arxiv.org/pdf/1908.11528v2 434e4a8f425117b4 data/papers/434e4a8f425117b4.pdf data/papers/434e4a8f425117b4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Network Elastic Net for Identifying Smoking specific gene expression for lung cancer arXiv 2019 https://arxiv.org/pdf/1908.11833v1 b6bb15f2f9bf9a81 data/papers/b6bb15f2f9bf9a81.pdf data/papers/b6bb15f2f9bf9a81.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features arXiv 2019 https://arxiv.org/pdf/1909.00270v1 60c5fcbb5765b1b2 data/papers/60c5fcbb5765b1b2.pdf data/papers/60c5fcbb5765b1b2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research arXiv 2019 https://arxiv.org/pdf/1909.00311v1 c0310f4c5535c9d2 data/papers/c0310f4c5535c9d2.pdf data/papers/c0310f4c5535c9d2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge arXiv 2019 https://arxiv.org/pdf/1909.00735v1 9c6b85511aa781f6 data/papers/9c6b85511aa781f6.pdf data/papers/9c6b85511aa781f6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multiscale Deep Neural Networks for Multiclass Tissue Classification of Histological Whole-Slide Images arXiv 2019 https://arxiv.org/pdf/1909.01178v1 9fa5b27918abd386 data/papers/9fa5b27918abd386.pdf data/papers/9fa5b27918abd386.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion arXiv 2019 https://arxiv.org/pdf/1909.01524v2 2bcba0589aa072bd data/papers/2bcba0589aa072bd.pdf data/papers/2bcba0589aa072bd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk arXiv 2019 https://arxiv.org/pdf/1909.01526v2 1f88830093091324 data/papers/1f88830093091324.pdf data/papers/1f88830093091324.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Automatic Detection of Misinformation in Online Medical Videos arXiv 2019 https://arxiv.org/pdf/1909.01543v1 d9f78cbdc3ce87be data/papers/d9f78cbdc3ce87be.pdf data/papers/d9f78cbdc3ce87be.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis arXiv 2019 https://arxiv.org/pdf/1909.02344v1 90ae3532e6322ea9 data/papers/90ae3532e6322ea9.pdf data/papers/90ae3532e6322ea9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy arXiv 2019 https://arxiv.org/pdf/1909.02477v3 649311f4b467c5e9 data/papers/649311f4b467c5e9.pdf data/papers/649311f4b467c5e9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Clustering of Quantitative Imaging Phenotypes using Autoencoder and Gaussian Mixture Model arXiv 2019 https://arxiv.org/pdf/1909.02953v1 e40038e69b044807 data/papers/e40038e69b044807.pdf data/papers/e40038e69b044807.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey arXiv 2019 https://arxiv.org/pdf/1909.03354v7 5daaba334dd63dfa data/papers/5daaba334dd63dfa.pdf data/papers/5daaba334dd63dfa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer arXiv 2019 https://arxiv.org/pdf/1909.04012v1 2ed7527bda56c096 data/papers/2ed7527bda56c096.pdf data/papers/2ed7527bda56c096.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detection and Classification of Breast Cancer Metastates Based on U-Net arXiv 2019 https://arxiv.org/pdf/1909.04141v1 bdd894ca356c46ad data/papers/bdd894ca356c46ad.pdf data/papers/bdd894ca356c46ad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data arXiv 2019 https://arxiv.org/pdf/1909.04169v1 e91133ecc8514bad data/papers/e91133ecc8514bad.pdf data/papers/e91133ecc8514bad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Virtual organelle self-coding for fluorescence imaging via adversarial learning arXiv 2019 https://arxiv.org/pdf/1909.04518v1 1472f8063335c1bb data/papers/1472f8063335c1bb.pdf data/papers/1472f8063335c1bb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Skin cancer detection based on deep learning and entropy to detect outlier samples arXiv 2019 https://arxiv.org/pdf/1909.04525v2 31f55c67c085a0aa data/papers/31f55c67c085a0aa.pdf data/papers/31f55c67c085a0aa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation arXiv 2019 https://arxiv.org/pdf/1909.04542v1 fb4a3b97c726997c data/papers/fb4a3b97c726997c.pdf data/papers/fb4a3b97c726997c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PaccMann$^{RL}$: Designing anticancer drugs from transcriptomic data via reinforcement learning arXiv 2019 https://arxiv.org/pdf/1909.05114v4 bf0099af7db3a5ac data/papers/bf0099af7db3a5ac.pdf data/papers/bf0099af7db3a5ac.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection arXiv 2019 https://arxiv.org/pdf/1909.05321v1 13edb4a0093ab917 data/papers/13edb4a0093ab917.pdf data/papers/13edb4a0093ab917.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multitask Classification and Segmentation for Cancer Diagnosis in Mammography arXiv 2019 https://arxiv.org/pdf/1909.05397v1 96149bf0ecd0bea3 data/papers/96149bf0ecd0bea3.pdf data/papers/96149bf0ecd0bea3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses arXiv 2019 https://arxiv.org/pdf/1909.05926v5 090632f6724c7dca data/papers/090632f6724c7dca.pdf data/papers/090632f6724c7dca.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BLOCCS: Block Sparse Canonical Correlation Analysis With Application To Interpretable Omics Integration arXiv 2019 https://arxiv.org/pdf/1909.07944v2 1e95e5e2fce1fc85 data/papers/1e95e5e2fce1fc85.pdf data/papers/1e95e5e2fce1fc85.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated detection of oral pre-cancerous tongue lesions using deep learning for early diagnosis of oral cavity cancer arXiv 2019 https://arxiv.org/pdf/1909.08987v1 aa8ea3b4b8e693a9 data/papers/aa8ea3b4b8e693a9.pdf data/papers/aa8ea3b4b8e693a9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of overall survival and molecular markers in gliomas via analysis of digital pathology images using deep learning arXiv 2019 https://arxiv.org/pdf/1909.09124v1 540021d9c355e0ea data/papers/540021d9c355e0ea.pdf data/papers/540021d9c355e0ea.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI arXiv 2019 https://arxiv.org/pdf/1909.09541v2 29d5e272be32ba99 data/papers/29d5e272be32ba99.pdf data/papers/29d5e272be32ba99.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Supervised Vector Quantized Variational Autoencoder for Learning Interpretable Global Representations arXiv 2019 https://arxiv.org/pdf/1909.11124v2 369ab9d765db8704 data/papers/369ab9d765db8704.pdf data/papers/369ab9d765db8704.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Augmenting the Pathology Lab: An Intelligent Whole Slide Image Classification System for the Real World arXiv 2019 https://arxiv.org/pdf/1909.11212v1 8e7f1499e2b02367 data/papers/8e7f1499e2b02367.pdf data/papers/8e7f1499e2b02367.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Diagnosis with Transfer Learning and Global Pooling arXiv 2019 https://arxiv.org/pdf/1909.11839v1 bd5728347e9b7943 data/papers/bd5728347e9b7943.pdf data/papers/bd5728347e9b7943.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging arXiv 2019 https://arxiv.org/pdf/1909.12475v2 b128b4673c3710c9 data/papers/b128b4673c3710c9.pdf data/papers/b128b4673c3710c9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The impact of patient clinical information on automated skin cancer detection arXiv 2019 https://arxiv.org/pdf/1909.12912v1 f39c47828f07c59e data/papers/f39c47828f07c59e.pdf data/papers/f39c47828f07c59e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation arXiv 2019 https://arxiv.org/pdf/1909.12959v2 9a342a2a0d23c876 data/papers/9a342a2a0d23c876.pdf data/papers/9a342a2a0d23c876.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A New Covariance Estimator for Sufficient Dimension Reduction in High-Dimensional and Undersized Sample Problems arXiv 2019 https://arxiv.org/pdf/1909.13017v1 a78333d54a95ac0c data/papers/a78333d54a95ac0c.pdf data/papers/a78333d54a95ac0c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods arXiv 2019 https://arxiv.org/pdf/1910.00582v1 6d6d8023534d8aa0 data/papers/6d6d8023534d8aa0.pdf data/papers/6d6d8023534d8aa0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Variable Selection with Random Survival Forest and Bayesian Additive Regression Tree for Survival Data arXiv 2019 https://arxiv.org/pdf/1910.02160v2 616761d6be835ff7 data/papers/616761d6be835ff7.pdf data/papers/616761d6be835ff7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prostate cancer inference via weakly-supervised learning using a large collection of negative MRI arXiv 2019 https://arxiv.org/pdf/1910.02185v1 bdf15eb03fa07727 data/papers/bdf15eb03fa07727.pdf data/papers/bdf15eb03fa07727.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Verification and Validation of Computer Models for Diagnosing Breast Cancer Based on Machine Learning for Medical Data Analysis arXiv 2019 https://arxiv.org/pdf/1910.02779v1 b7bbd99f9844d874 data/papers/b7bbd99f9844d874.pdf data/papers/b7bbd99f9844d874.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks arXiv 2019 https://arxiv.org/pdf/1910.03084v1 9632d7905990d794 data/papers/9632d7905990d794.pdf data/papers/9632d7905990d794.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Large-scale Gastric Cancer Screening and Localization Using Multi-task Deep Neural Network arXiv 2019 https://arxiv.org/pdf/1910.03729v3 ebe5f5a98b241959 data/papers/ebe5f5a98b241959.pdf data/papers/ebe5f5a98b241959.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cribriform pattern detection in prostate histopathological images using deep learning models arXiv 2019 https://arxiv.org/pdf/1910.04030v1 8a56818bedeb7f89 data/papers/8a56818bedeb7f89.pdf data/papers/8a56818bedeb7f89.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Stage Pathological Image Classification using Semantic Segmentation arXiv 2019 https://arxiv.org/pdf/1910.04473v1 e458535dc9a810db data/papers/e458535dc9a810db.pdf data/papers/e458535dc9a810db.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning for Prostate Pathology arXiv 2019 https://arxiv.org/pdf/1910.04918v3 52fedce1ec5f7b22 data/papers/52fedce1ec5f7b22.pdf data/papers/52fedce1ec5f7b22.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generative Image Translation for Data Augmentation in Colorectal Histopathology Images arXiv 2019 https://arxiv.org/pdf/1910.05827v1 06b299f70a6ce53b data/papers/06b299f70a6ce53b.pdf data/papers/06b299f70a6ce53b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical Hidden Markov Jump Processes for Cancer Screening Modeling arXiv 2019 https://arxiv.org/pdf/1910.05847v1 067efaf2f3c5e7f4 data/papers/067efaf2f3c5e7f4.pdf data/papers/067efaf2f3c5e7f4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Identifying Epigenetic Signature of Breast Cancer with Machine Learning arXiv 2019 https://arxiv.org/pdf/1910.06899v1 a8eaa37a7f15cd19 data/papers/a8eaa37a7f15cd19.pdf data/papers/a8eaa37a7f15cd19.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT Perfusion arXiv 2019 https://arxiv.org/pdf/1910.08364v1 45119c7428c38c55 data/papers/45119c7428c38c55.pdf data/papers/45119c7428c38c55.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The TCGA Meta-Dataset Clinical Benchmark arXiv 2019 https://arxiv.org/pdf/1910.08636v1 54aa0a8a7b5df8bd data/papers/54aa0a8a7b5df8bd.pdf data/papers/54aa0a8a7b5df8bd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning arXiv 2019 https://arxiv.org/pdf/1910.09100v5 ad98a4fdd3085e0a data/papers/ad98a4fdd3085e0a.pdf data/papers/ad98a4fdd3085e0a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep generative model-driven multimodal prostate segmentation in radiotherapy arXiv 2019 https://arxiv.org/pdf/1910.10542v1 912b58c43f5cb8ff data/papers/912b58c43f5cb8ff.pdf data/papers/912b58c43f5cb8ff.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images arXiv 2019 https://arxiv.org/pdf/1910.10549v3 e425d1fcb791c312 data/papers/e425d1fcb791c312.pdf data/papers/e425d1fcb791c312.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding arXiv 2019 https://arxiv.org/pdf/1910.10825v3 4a87232210b80b04 data/papers/4a87232210b80b04.pdf data/papers/4a87232210b80b04.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Note on Our Submission to Track 4 of iDASH 2019 arXiv 2019 https://arxiv.org/pdf/1910.11680v1 a9cb4ca2c60ee13e data/papers/a9cb4ca2c60ee13e.pdf data/papers/a9cb4ca2c60ee13e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation arXiv 2019 https://arxiv.org/pdf/1910.12326v1 f79858a65aaece53 data/papers/f79858a65aaece53.pdf data/papers/f79858a65aaece53.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image Segmentation arXiv 2019 https://arxiv.org/pdf/1910.13042v2 28b0fb91ff00fc0c data/papers/28b0fb91ff00fc0c.pdf data/papers/28b0fb91ff00fc0c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets arXiv 2019 https://arxiv.org/pdf/1910.13268v1 12523e29fa15bac7 data/papers/12523e29fa15bac7.pdf data/papers/12523e29fa15bac7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks arXiv 2019 https://arxiv.org/pdf/1910.13328v2 d49194db60cb8a9c data/papers/d49194db60cb8a9c.pdf data/papers/d49194db60cb8a9c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NCI Workshop on Artificial Intelligence in Radiation Oncology: Training the Next Generation arXiv 2019 https://arxiv.org/pdf/1910.13334v3 4d38294bc87b0c87 data/papers/4d38294bc87b0c87.pdf data/papers/4d38294bc87b0c87.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System arXiv 2019 https://arxiv.org/pdf/1910.13574v1 d38121204413e421 data/papers/d38121204413e421.pdf data/papers/d38121204413e421.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk arXiv 2019 https://arxiv.org/pdf/1911.00036v1 85708142f9cc21ed data/papers/85708142f9cc21ed.pdf data/papers/85708142f9cc21ed.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Validation of a deep learning mammography model in a population with low screening rates arXiv 2019 https://arxiv.org/pdf/1911.00364v1 067f9d9b928b753c data/papers/067f9d9b928b753c.pdf data/papers/067f9d9b928b753c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exact model comparisons in the plausibility framework arXiv 2019 https://arxiv.org/pdf/1911.00469v3 38b4584292cdc757 data/papers/38b4584292cdc757.pdf data/papers/38b4584292cdc757.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer Detection Using Quantum Neural Networks: A Demonstration on a Quantum Computer arXiv 2019 https://arxiv.org/pdf/1911.00504v1 d6e18ef7031a6cf8 data/papers/d6e18ef7031a6cf8.pdf data/papers/d6e18ef7031a6cf8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ten-year Survival Prediction for Breast Cancer Patients arXiv 2019 https://arxiv.org/pdf/1911.00776v1 a365f217ff773f69 data/papers/a365f217ff773f69.pdf data/papers/a365f217ff773f69.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gland Segmentation in Histopathological Images by Deep Neural Network arXiv 2019 https://arxiv.org/pdf/1911.00909v1 f353a369fdda8345 data/papers/f353a369fdda8345.pdf data/papers/f353a369fdda8345.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Study of Data Pre-processing Techniques for Imbalanced Biomedical Data Classification arXiv 2019 https://arxiv.org/pdf/1911.00996v1 8a45d9429609961b data/papers/8a45d9429609961b.pdf data/papers/8a45d9429609961b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation arXiv 2019 https://arxiv.org/pdf/1911.01062v3 ea92784235f19760 data/papers/ea92784235f19760.pdf data/papers/ea92784235f19760.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection arXiv 2019 https://arxiv.org/pdf/1911.01477v1 db3462d90e46eb68 data/papers/db3462d90e46eb68.pdf data/papers/db3462d90e46eb68.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging arXiv 2019 https://arxiv.org/pdf/1911.03022v1 209e3d79d80a98f8 data/papers/209e3d79d80a98f8.pdf data/papers/209e3d79d80a98f8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MAP Clustering under the Gaussian Mixture Model via Mixed Integer Nonlinear Optimization arXiv 2019 https://arxiv.org/pdf/1911.04285v2 4e52aaf8a3648bd5 data/papers/4e52aaf8a3648bd5.pdf data/papers/4e52aaf8a3648bd5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Biologically Plausible Benchmark for Contextual Bandit Algorithms in Precision Oncology Using in vitro Data arXiv 2019 https://arxiv.org/pdf/1911.04389v1 fb6ca2b7c947595c data/papers/fb6ca2b7c947595c.pdf data/papers/fb6ca2b7c947595c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Streaming convolutional neural networks for end-to-end learning with multi-megapixel images arXiv 2019 https://arxiv.org/pdf/1911.04432v1 c33b48aed4137161 data/papers/c33b48aed4137161.pdf data/papers/c33b48aed4137161.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging arXiv 2019 https://arxiv.org/pdf/1911.05115v2 b23e0a97b959e285 data/papers/b23e0a97b959e285.pdf data/papers/b23e0a97b959e285.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Statistical Deformation Reconstruction Using Multi-organ Shape Features for Pancreatic Cancer Localization arXiv 2019 https://arxiv.org/pdf/1911.05439v1 5461663c5638d4ce data/papers/5461663c5638d4ce.pdf data/papers/5461663c5638d4ce.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tensor Decomposition with Relational Constraints for Predicting Multiple Types of MicroRNA-disease Associations arXiv 2019 https://arxiv.org/pdf/1911.05584v2 052c90d0fe1c2a27 data/papers/052c90d0fe1c2a27.pdf data/papers/052c90d0fe1c2a27.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data arXiv 2019 https://arxiv.org/pdf/1911.05880v2 80b93a98cd9bef86 data/papers/80b93a98cd9bef86.pdf data/papers/80b93a98cd9bef86.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs arXiv 2019 https://arxiv.org/pdf/1911.06216v2 63a4e708b043e6e1 data/papers/63a4e708b043e6e1.pdf data/papers/63a4e708b043e6e1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels arXiv 2019 https://arxiv.org/pdf/1911.06475v3 96c14ed8fa869b21 data/papers/96c14ed8fa869b21.pdf data/papers/96c14ed8fa869b21.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv 2019 https://arxiv.org/pdf/1911.07067v1 023ab4223a199d62 data/papers/023ab4223a199d62.pdf data/papers/023ab4223a199d62.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Coverage Testing of Deep Learning Models using Dataset Characterization arXiv 2019 https://arxiv.org/pdf/1911.07309v1 d1332e220cc4f6d2 data/papers/d1332e220cc4f6d2.pdf data/papers/d1332e220cc4f6d2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Discriminative Fine-Tuning for Cancer Type Classification arXiv 2019 https://arxiv.org/pdf/1911.07654v1 1ce442a56243db4c data/papers/1ce442a56243db4c.pdf data/papers/1ce442a56243db4c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies arXiv 2019 https://arxiv.org/pdf/1911.07819v2 19626c75b0e41094 data/papers/19626c75b0e41094.pdf data/papers/19626c75b0e41094.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligence arXiv 2019 https://arxiv.org/pdf/1911.08736v1 393be2e13009c30d data/papers/393be2e13009c30d.pdf data/papers/393be2e13009c30d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Yottixel -- An Image Search Engine for Large Archives of Histopathology Whole Slide Images arXiv 2019 https://arxiv.org/pdf/1911.08748v1 dc36c0da1a5ddfa1 data/papers/dc36c0da1a5ddfa1.pdf data/papers/dc36c0da1a5ddfa1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Embeddings from Cancer Mutation Sets for Classification Tasks arXiv 2019 https://arxiv.org/pdf/1911.09008v1 e5811dee3910a12a data/papers/e5811dee3910a12a.pdf data/papers/e5811dee3910a12a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep graph embedding for prioritizing synergistic anticancer drug combinations arXiv 2019 https://arxiv.org/pdf/1911.10316v1 465e67427230fe20 data/papers/465e67427230fe20.pdf data/papers/465e67427230fe20.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lung Cancer Detection and Classification based on Image Processing and Statistical Learning arXiv 2019 https://arxiv.org/pdf/1911.10654v1 05774d33321f0a7f data/papers/05774d33321f0a7f.pdf data/papers/05774d33321f0a7f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Random Forest as a Tumour Genetic Marker Extractor arXiv 2019 https://arxiv.org/pdf/1911.11471v1 7231b3c21b1256c1 data/papers/7231b3c21b1256c1.pdf data/papers/7231b3c21b1256c1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Artificial Intelligence-Based Image Classification for Diagnosis of Skin Cancer: Challenges and Opportunities arXiv 2019 https://arxiv.org/pdf/1911.11872v3 bbf070a1d0305c64 data/papers/bbf070a1d0305c64.pdf data/papers/bbf070a1d0305c64.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning with less data via Weakly Labeled Patch Classification in Digital Pathology arXiv 2019 https://arxiv.org/pdf/1911.12425v3 55d3f6a3177696d3 data/papers/55d3f6a3177696d3.pdf data/papers/55d3f6a3177696d3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis arXiv 2019 https://arxiv.org/pdf/1911.12426v8 b07db0bcadea33fe data/papers/b07db0bcadea33fe.pdf data/papers/b07db0bcadea33fe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Effective Sub-clonal Cancer Representation to Predict Tumor Evolution arXiv 2019 https://arxiv.org/pdf/1911.12774v1 03ae8708c3817ec1 data/papers/03ae8708c3817ec1.pdf data/papers/03ae8708c3817ec1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Flatsomatic: A Method for Compression of Somatic Mutation Profiles in Cancer arXiv 2019 https://arxiv.org/pdf/1911.13259v1 6e6e80a91a867f5a data/papers/6e6e80a91a867f5a.pdf data/papers/6e6e80a91a867f5a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Topology of Mutated Driver Pathways arXiv 2019 https://arxiv.org/pdf/1912.00108v1 e47e4cf4d7ccf725 data/papers/e47e4cf4d7ccf725.pdf data/papers/e47e4cf4d7ccf725.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HyperTraPS: Inferring probabilistic patterns of trait acquisition in evolutionary and disease progression pathways arXiv 2019 https://arxiv.org/pdf/1912.00762v1 7c2149bcc58b3829 data/papers/7c2149bcc58b3829.pdf data/papers/7c2149bcc58b3829.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Safety and Robustness in Decision Making: Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer arXiv 2019 https://arxiv.org/pdf/1912.02065v1 f93d8cdb3c512696 data/papers/f93d8cdb3c512696.pdf data/papers/f93d8cdb3c512696.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A sparse negative binomial mixture model for clustering RNA-seq count data arXiv 2019 https://arxiv.org/pdf/1912.02399v2 8b76a1f882421594 data/papers/8b76a1f882421594.pdf data/papers/8b76a1f882421594.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Distance Transform for Tubular Structure Segmentation in CT Scans arXiv 2019 https://arxiv.org/pdf/1912.03383v1 77eafaaeb08f1b79 data/papers/77eafaaeb08f1b79.pdf data/papers/77eafaaeb08f1b79.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer arXiv 2019 https://arxiv.org/pdf/1912.04174v1 f357ad08e55900e4 data/papers/f357ad08e55900e4.pdf data/papers/f357ad08e55900e4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Discovering and interpreting transcriptomic drivers of imaging traits using neural networks arXiv 2019 https://arxiv.org/pdf/1912.05071v1 75ee1237395e8b5d data/papers/75ee1237395e8b5d.pdf data/papers/75ee1237395e8b5d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HistoNet: Predicting size histograms of object instances arXiv 2019 https://arxiv.org/pdf/1912.05227v3 da606294844803eb data/papers/da606294844803eb.pdf data/papers/da606294844803eb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-based Denoising of Mammographic Images using Physics-driven Data Augmentation arXiv 2019 https://arxiv.org/pdf/1912.05240v1 9d0d85175c1666f6 data/papers/9d0d85175c1666f6.pdf data/papers/9d0d85175c1666f6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning guided image-based droplet sorting for on-demand selection and analysis of single cells and 3D cell cultures arXiv 2019 https://arxiv.org/pdf/1912.05490v2 3b29be5bde5cf45e data/papers/3b29be5bde5cf45e.pdf data/papers/3b29be5bde5cf45e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sublinear Optimal Policy Value Estimation in Contextual Bandits arXiv 2019 https://arxiv.org/pdf/1912.06111v2 5e1fa38dae6727b6 data/papers/5e1fa38dae6727b6.pdf data/papers/5e1fa38dae6727b6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Diagnosis by Higher-Order Probabilistic Perceptrons arXiv 2019 https://arxiv.org/pdf/1912.06969v1 9d9630c6b81b3363 data/papers/9d9630c6b81b3363.pdf data/papers/9d9630c6b81b3363.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning-based survival prediction for multiple cancer types using histopathology images arXiv 2019 https://arxiv.org/pdf/1912.07354v1 a8718124ddd9282b data/papers/a8718124ddd9282b.pdf data/papers/a8718124ddd9282b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Clusters in Explanation Space: Inferring disease subtypes from model explanations arXiv 2019 https://arxiv.org/pdf/1912.08755v2 e79bb572fbbdcd4e data/papers/e79bb572fbbdcd4e.pdf data/papers/e79bb572fbbdcd4e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis arXiv 2019 https://arxiv.org/pdf/1912.08937v3 9c78d1c6a805a83f data/papers/9c78d1c6a805a83f.pdf data/papers/9c78d1c6a805a83f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach arXiv 2019 https://arxiv.org/pdf/1912.11027v2 550649b7908e1877 data/papers/550649b7908e1877.pdf data/papers/550649b7908e1877.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MM for Penalized Estimation arXiv 2019 https://arxiv.org/pdf/1912.11119v3 e17d930721691a38 data/papers/e17d930721691a38.pdf data/papers/e17d930721691a38.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CBCT-to-CT synthesis with a single neural network for head-and-neck, lung and breast cancer adaptive radiotherapy arXiv 2019 https://arxiv.org/pdf/1912.11136v1 66c78a7b0406e274 data/papers/66c78a7b0406e274.pdf data/papers/66c78a7b0406e274.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Drug Recommendation System (Dr.S) for cancer cell lines arXiv 2019 https://arxiv.org/pdf/1912.11548v1 5fe5b76da44b903a data/papers/5fe5b76da44b903a.pdf data/papers/5fe5b76da44b903a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions arXiv 2019 https://arxiv.org/pdf/1912.11928v2 4c0615cec4ae78d8 data/papers/4c0615cec4ae78d8.pdf data/papers/4c0615cec4ae78d8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Colorectal Polyp Segmentation by U-Net with Dilation Convolution arXiv 2019 https://arxiv.org/pdf/1912.11947v1 2a3fdd5cb89b9c9b data/papers/2a3fdd5cb89b9c9b.pdf data/papers/2a3fdd5cb89b9c9b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lung and Colon Cancer Histopathological Image Dataset (LC25000) arXiv 2019 https://arxiv.org/pdf/1912.12142v1 6b2e3b3554c46653 data/papers/6b2e3b3554c46653.pdf data/papers/6b2e3b3554c46653.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning to segment images with classification labels arXiv 2019 https://arxiv.org/pdf/1912.12533v2 8dea759ed1408ad4 data/papers/8dea759ed1408ad4.pdf data/papers/8dea759ed1408ad4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transform-Domain Classification of Human Cells based on DNA Methylation Datasets arXiv 2019 https://arxiv.org/pdf/1912.13167v1 0867fec47ef9753d data/papers/0867fec47ef9753d.pdf data/papers/0867fec47ef9753d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Volumetric Lung Nodule Segmentation using Adaptive ROI with Multi-View Residual Learning arXiv 2019 https://arxiv.org/pdf/1912.13335v2 0f88cf6a15e52f43 data/papers/0f88cf6a15e52f43.pdf data/papers/0f88cf6a15e52f43.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis arXiv 2020 https://arxiv.org/pdf/2001.00258v2 43f0af4f3855f421 data/papers/43f0af4f3855f421.pdf data/papers/43f0af4f3855f421.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +High-Dimensional Independence Testing via Maximum and Average Distance Correlations arXiv 2020 https://arxiv.org/pdf/2001.01095v4 1bce3a491b3c2658 data/papers/1bce3a491b3c2658.pdf data/papers/1bce3a491b3c2658.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of Drug Synergy by Ensemble Learning arXiv 2020 https://arxiv.org/pdf/2001.01997v1 e0c16d7e374c5ea6 data/papers/e0c16d7e374c5ea6.pdf data/papers/e0c16d7e374c5ea6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes arXiv 2020 https://arxiv.org/pdf/2001.02585v2 f1cefe0401d046e1 data/papers/f1cefe0401d046e1.pdf data/papers/f1cefe0401d046e1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Inflammatory Bowel Disease Biomarkers of Human Gut Microbiota Selected via Ensemble Feature Selection Methods arXiv 2020 https://arxiv.org/pdf/2001.03019v1 ee5f601524f749c7 data/papers/ee5f601524f749c7.pdf data/papers/ee5f601524f749c7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation arXiv 2020 https://arxiv.org/pdf/2001.03893v1 3795a058b8db9a61 data/papers/3795a058b8db9a61.pdf data/papers/3795a058b8db9a61.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep convolutional neural networks for multi-planar lung nodule detection: improvement in small nodule identification arXiv 2020 https://arxiv.org/pdf/2001.04537v3 8eb9b37a3c533e07 data/papers/8eb9b37a3c533e07.pdf data/papers/8eb9b37a3c533e07.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multicategory Angle-based Learning for Estimating Optimal Dynamic Treatment Regimes with Censored Data arXiv 2020 https://arxiv.org/pdf/2001.04629v1 4c9c121b304caca8 data/papers/4c9c121b304caca8.pdf data/papers/4c9c121b304caca8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Effects of annotation granularity in deep learning models for histopathological images arXiv 2020 https://arxiv.org/pdf/2001.04663v1 91d2ec8ffa7188fa data/papers/91d2ec8ffa7188fa.pdf data/papers/91d2ec8ffa7188fa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified arXiv 2020 https://arxiv.org/pdf/2001.06988v2 46c985e051795723 data/papers/46c985e051795723.pdf data/papers/46c985e051795723.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis arXiv 2020 https://arxiv.org/pdf/2001.08381v1 4ac01e3a694ffabc data/papers/4ac01e3a694ffabc.pdf data/papers/4ac01e3a694ffabc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Hypersensitive Breast Cancer Detector arXiv 2020 https://arxiv.org/pdf/2001.08382v1 853e9ca24f049a59 data/papers/853e9ca24f049a59.pdf data/papers/853e9ca24f049a59.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Radiomics and artificial intelligence analysis of CT data for the identification of prognostic features in multiple myeloma arXiv 2020 https://arxiv.org/pdf/2001.08924v1 728505f4acccf3e7 data/papers/728505f4acccf3e7.pdf data/papers/728505f4acccf3e7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis arXiv 2020 https://arxiv.org/pdf/2002.00647v1 f8db9cc93d22158a data/papers/f8db9cc93d22158a.pdf data/papers/f8db9cc93d22158a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository arXiv 2020 https://arxiv.org/pdf/2002.00837v2 53409481c9107839 data/papers/53409481c9107839.pdf data/papers/53409481c9107839.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stan: Small tumor-aware network for breast ultrasound image segmentation arXiv 2020 https://arxiv.org/pdf/2002.01034v1 2af84ee4757ac242 data/papers/2af84ee4757ac242.pdf data/papers/2af84ee4757ac242.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fake News Detection by means of Uncertainty Weighted Causal Graphs arXiv 2020 https://arxiv.org/pdf/2002.01065v2 1246f0b0489a2748 data/papers/1246f0b0489a2748.pdf data/papers/1246f0b0489a2748.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales arXiv 2020 https://arxiv.org/pdf/2002.01975v1 d55c62f55595fd87 data/papers/d55c62f55595fd87.pdf data/papers/d55c62f55595fd87.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal fusion of imaging and genomics for lung cancer recurrence prediction arXiv 2020 https://arxiv.org/pdf/2002.01982v1 18246e8281e08025 data/papers/18246e8281e08025.pdf data/papers/18246e8281e08025.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bidimensional linked matrix factorization for pan-omics pan-cancer analysis arXiv 2020 https://arxiv.org/pdf/2002.02601v2 31b6fe465205cf1b data/papers/31b6fe465205cf1b.pdf data/papers/31b6fe465205cf1b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Understanding the effects of artifacts on automated polyp detection and incorporating that knowledge via learning without forgetting arXiv 2020 https://arxiv.org/pdf/2002.02883v3 29c9facddcb21472 data/papers/29c9facddcb21472.pdf data/papers/29c9facddcb21472.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Subsampling Winner Algorithm for Feature Selection in Large Regression Data arXiv 2020 https://arxiv.org/pdf/2002.02903v1 a3cbe092166875a1 data/papers/a3cbe092166875a1.pdf data/papers/a3cbe092166875a1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Feature Fusion for Mitosis Counting arXiv 2020 https://arxiv.org/pdf/2002.03781v3 12d1c9441c42a16c data/papers/12d1c9441c42a16c.pdf data/papers/12d1c9441c42a16c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Personalized Metabolic Analysis of Diseases arXiv 2020 https://arxiv.org/pdf/2002.04078v1 c172c0bcc0a70c57 data/papers/c172c0bcc0a70c57.pdf data/papers/c172c0bcc0a70c57.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images arXiv 2020 https://arxiv.org/pdf/2002.04493v1 c6ca55ba68688708 data/papers/c6ca55ba68688708.pdf data/papers/c6ca55ba68688708.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists arXiv 2020 https://arxiv.org/pdf/2002.04500v1 dbaa3d14b2ee18ac data/papers/dbaa3d14b2ee18ac.pdf data/papers/dbaa3d14b2ee18ac.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bayesian Nonparametric Cost-Effectiveness Analyses: Causal Estimation and Adaptive Subgroup Discovery arXiv 2020 https://arxiv.org/pdf/2002.04706v2 ac27e4e3343bf3ea data/papers/ac27e4e3343bf3ea.pdf data/papers/ac27e4e3343bf3ea.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Analysis Of Multi Field Of View Cnn And Attention Cnn On H&E Stained Whole-slide Images On Hepatocellular Carcinoma arXiv 2020 https://arxiv.org/pdf/2002.04836v2 ef382b2910f03f47 data/papers/ef382b2910f03f47.pdf data/papers/ef382b2910f03f47.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT arXiv 2020 https://arxiv.org/pdf/2002.06927v1 717ac31fb9bcc24f data/papers/717ac31fb9bcc24f.pdf data/papers/717ac31fb9bcc24f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Biological Random Walks: integrating heterogeneous data in disease gene prioritization arXiv 2020 https://arxiv.org/pdf/2002.07064v1 a39eb385bff7d9d6 data/papers/a39eb385bff7d9d6.pdf data/papers/a39eb385bff7d9d6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bayesian Structure Learning in Multi-layered Genomic Networks arXiv 2020 https://arxiv.org/pdf/2002.07122v1 12ae154bb85424a3 data/papers/12ae154bb85424a3.pdf data/papers/12ae154bb85424a3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Physics-Guided Modular Deep-Learning Based Automated Framework for Tumor Segmentation in PET Images arXiv 2020 https://arxiv.org/pdf/2002.07969v1 b103b45b69c189aa data/papers/b103b45b69c189aa.pdf data/papers/b103b45b69c189aa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bimodal Distribution Removal and Genetic Algorithm in Neural Network for Breast Cancer Diagnosis arXiv 2020 https://arxiv.org/pdf/2002.08729v1 0ba5958db0676aa5 data/papers/0ba5958db0676aa5.pdf data/papers/0ba5958db0676aa5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics arXiv 2020 https://arxiv.org/pdf/2002.09192v1 e8515a418369a742 data/papers/e8515a418369a742.pdf data/papers/e8515a418369a742.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +QEML (Quantum Enhanced Machine Learning): Using Quantum Computing to Enhance ML Classifiers and Feature Spaces arXiv 2020 https://arxiv.org/pdf/2002.10453v3 e60393cee9e73a75 data/papers/e60393cee9e73a75.pdf data/papers/e60393cee9e73a75.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Causal Inference With Selectively Deconfounded Data arXiv 2020 https://arxiv.org/pdf/2002.11096v4 2eb608b3a1497b66 data/papers/2eb608b3a1497b66.pdf data/papers/2eb608b3a1497b66.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Label-free colorectal cancer screening using deep learning and spatial light interference microscopy (SLIM) arXiv 2020 https://arxiv.org/pdf/2003.00125v1 8c802630d3433a55 data/papers/8c802630d3433a55.pdf data/papers/8c802630d3433a55.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Bayesian approach to tissue-fraction estimation for oncological PET segmentation arXiv 2020 https://arxiv.org/pdf/2003.00317v3 3156ccaa7c5f6517 data/papers/3156ccaa7c5f6517.pdf data/papers/3156ccaa7c5f6517.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography arXiv 2020 https://arxiv.org/pdf/2003.01109v1 7227b455c69f2a2b data/papers/7227b455c69f2a2b.pdf data/papers/7227b455c69f2a2b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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data/papers/bb23ca4e6b4dcd0f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AI outperformed every dermatologist: Improved dermoscopic melanoma diagnosis through customizing batch logic and loss function in an optimized Deep CNN architecture arXiv 2020 https://arxiv.org/pdf/2003.02597v2 20f17bc34fb5a4f6 data/papers/20f17bc34fb5a4f6.pdf data/papers/20f17bc34fb5a4f6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials arXiv 2020 https://arxiv.org/pdf/2003.02943v1 47eca9a589f6429e data/papers/47eca9a589f6429e.pdf data/papers/47eca9a589f6429e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients arXiv 2020 https://arxiv.org/pdf/2003.03044v1 66f43815115a996d data/papers/66f43815115a996d.pdf data/papers/66f43815115a996d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images arXiv 2020 https://arxiv.org/pdf/2003.03109v1 316eec46ed3ef116 data/papers/316eec46ed3ef116.pdf data/papers/316eec46ed3ef116.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ASAP-SML: An Antibody Sequence Analysis Pipeline Using Statistical Testing and Machine Learning arXiv 2020 https://arxiv.org/pdf/2003.03811v1 27e0fe4b6949ffc7 data/papers/27e0fe4b6949ffc7.pdf data/papers/27e0fe4b6949ffc7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks arXiv 2020 https://arxiv.org/pdf/2003.03824v2 cb4987fa7f049c19 data/papers/cb4987fa7f049c19.pdf data/papers/cb4987fa7f049c19.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optical detection of Aflatoxins B in grained almonds using fluorescence spectroscopy and machine learning algorithms arXiv 2020 https://arxiv.org/pdf/2003.04096v1 7251168eb9706126 data/papers/7251168eb9706126.pdf data/papers/7251168eb9706126.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning approach for breast cancer diagnosis arXiv 2020 https://arxiv.org/pdf/2003.04480v1 14da55231310c963 data/papers/14da55231310c963.pdf data/papers/14da55231310c963.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robustness study of noisy annotation in deep learning based medical image segmentation arXiv 2020 https://arxiv.org/pdf/2003.06240v1 09180d3b7ad1fcb3 data/papers/09180d3b7ad1fcb3.pdf data/papers/09180d3b7ad1fcb3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages arXiv 2020 https://arxiv.org/pdf/2003.06356v1 2c809fe9a406bfce data/papers/2c809fe9a406bfce.pdf data/papers/2c809fe9a406bfce.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solitary Pulmonary Nodules' malignancy rating arXiv 2020 https://arxiv.org/pdf/2003.06801v1 1578edbf3b9f46b0 data/papers/1578edbf3b9f46b0.pdf data/papers/1578edbf3b9f46b0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Radiomic feature selection for lung cancer classifiers arXiv 2020 https://arxiv.org/pdf/2003.07098v1 b861f88e7e2ed0a9 data/papers/b861f88e7e2ed0a9.pdf data/papers/b861f88e7e2ed0a9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Directionally Dependent Multi-View Clustering Using Copula Model arXiv 2020 https://arxiv.org/pdf/2003.07494v2 148709d93021fd4c data/papers/148709d93021fd4c.pdf data/papers/148709d93021fd4c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty Estimation in Cancer Survival Prediction arXiv 2020 https://arxiv.org/pdf/2003.08573v2 22e84697b824841b data/papers/22e84697b824841b.pdf data/papers/22e84697b824841b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reduction of Surgical Risk Through the Evaluation of Medical Imaging Diagnostics arXiv 2020 https://arxiv.org/pdf/2003.08748v1 f8f7fda5b184583b data/papers/f8f7fda5b184583b.pdf data/papers/f8f7fda5b184583b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Teacher-Student chain for efficient semi-supervised histology image classification arXiv 2020 https://arxiv.org/pdf/2003.08797v2 a1a1b6ae15d8a711 data/papers/a1a1b6ae15d8a711.pdf data/papers/a1a1b6ae15d8a711.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Object Detection based Mitosis Analysis in Breast Cancer Histopathological Images arXiv 2020 https://arxiv.org/pdf/2003.08803v1 297f6cf4756adb5f data/papers/297f6cf4756adb5f.pdf data/papers/297f6cf4756adb5f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning-Based Stopping Power Mapping on Dual Energy CT for Proton Radiation Therapy arXiv 2020 https://arxiv.org/pdf/2003.09058v1 5413f0ca47044a5f data/papers/5413f0ca47044a5f.pdf data/papers/5413f0ca47044a5f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation arXiv 2020 https://arxiv.org/pdf/2003.09293v1 9ef4b1c18d257bde data/papers/9ef4b1c18d257bde.pdf data/papers/9ef4b1c18d257bde.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Understanding the robustness of deep neural network classifiers for breast cancer screening arXiv 2020 https://arxiv.org/pdf/2003.10041v1 d163bf736a7ba46d data/papers/d163bf736a7ba46d.pdf data/papers/d163bf736a7ba46d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation arXiv 2020 https://arxiv.org/pdf/2003.10144v1 48de5d1532751358 data/papers/48de5d1532751358.pdf data/papers/48de5d1532751358.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Statistical Quantile Learning for Large, Nonlinear, and Additive Latent Variable Models arXiv 2020 https://arxiv.org/pdf/2003.13119v5 ea1b62d678de69d6 data/papers/ea1b62d678de69d6.pdf data/papers/ea1b62d678de69d6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diagnosis of Breast Cancer Based on Modern Mammography using Hybrid Transfer Learning arXiv 2020 https://arxiv.org/pdf/2003.13503v3 66101e496604f25c data/papers/66101e496604f25c.pdf data/papers/66101e496604f25c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Analysing the Extent of Misinformation in Cancer Related Tweets arXiv 2020 https://arxiv.org/pdf/2003.13657v3 4411923fd8564e45 data/papers/4411923fd8564e45.pdf data/papers/4411923fd8564e45.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Supervised Cervical Dysplasia Classification With Learnable Graph Convolutional Network arXiv 2020 https://arxiv.org/pdf/2004.00191v1 4d73f45394889e73 data/papers/4d73f45394889e73.pdf data/papers/4d73f45394889e73.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting the risk of pancreatic cancer with a CT-based ensemble AI algorithm arXiv 2020 https://arxiv.org/pdf/2004.01388v1 ee796c9a5f44d8c9 data/papers/ee796c9a5f44d8c9.pdf data/papers/ee796c9a5f44d8c9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology arXiv 2020 https://arxiv.org/pdf/2004.01614v1 66be818d64e8a149 data/papers/66be818d64e8a149.pdf data/papers/66be818d64e8a149.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stage I non-small cell lung cancer stratification by using a model-based clustering algorithm with covariates arXiv 2020 https://arxiv.org/pdf/2004.02333v1 5f2776aeb7b9324e data/papers/5f2776aeb7b9324e.pdf data/papers/5f2776aeb7b9324e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Proton Dose Calculation Accuracy by Using Deep Learning arXiv 2020 https://arxiv.org/pdf/2004.02924v1 66c7ab3d8d4e267a data/papers/66c7ab3d8d4e267a.pdf data/papers/66c7ab3d8d4e267a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification arXiv 2020 https://arxiv.org/pdf/2004.03332v2 183e7714da407208 data/papers/183e7714da407208.pdf data/papers/183e7714da407208.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MRQy: An Open-Source Tool for Quality Control of MR Imaging Data arXiv 2020 https://arxiv.org/pdf/2004.04871v3 2984181ffc97a895 data/papers/2984181ffc97a895.pdf data/papers/2984181ffc97a895.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly supervised multiple instance learning histopathological tumor segmentation arXiv 2020 https://arxiv.org/pdf/2004.05024v4 0cd8c5f0873a7356 data/papers/0cd8c5f0873a7356.pdf data/papers/0cd8c5f0873a7356.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A reinforcement learning application of guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy arXiv 2020 https://arxiv.org/pdf/2004.06244v1 265c502268ab9a87 data/papers/265c502268ab9a87.pdf data/papers/265c502268ab9a87.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning a low dimensional manifold of real cancer tissue with PathologyGAN arXiv 2020 https://arxiv.org/pdf/2004.06517v1 2bfd6d5a149755d4 data/papers/2bfd6d5a149755d4.pdf data/papers/2bfd6d5a149755d4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Representation Learning of Histopathology Images using Graph Neural Networks arXiv 2020 https://arxiv.org/pdf/2004.07399v2 d6d5058ef24ecddc data/papers/d6d5058ef24ecddc.pdf data/papers/d6d5058ef24ecddc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with Cone-Beam Computed Tomography (CBCT) to Computed Tomography (CT) image conversion arXiv 2020 https://arxiv.org/pdf/2004.07700v2 e88fe4767717c273 data/papers/e88fe4767717c273.pdf data/papers/e88fe4767717c273.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Network-principled deep generative models for designing drug combinations as graph sets arXiv 2020 https://arxiv.org/pdf/2004.07782v2 f978fb562d05255e data/papers/f978fb562d05255e.pdf data/papers/f978fb562d05255e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search arXiv 2020 https://arxiv.org/pdf/2004.08426v1 f2fc5543a636bf2a data/papers/f2fc5543a636bf2a.pdf data/papers/f2fc5543a636bf2a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accurate Tumor Tissue Region Detection with Accelerated Deep Convolutional Neural Networks arXiv 2020 https://arxiv.org/pdf/2004.08552v1 997b5e12b2ee4625 data/papers/997b5e12b2ee4625.pdf data/papers/997b5e12b2ee4625.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning Method to Control and Observe for Treatment and Monitoring of Hepatitis B Virus arXiv 2020 https://arxiv.org/pdf/2004.09751v1 e9a81bf5d0f0bbe7 data/papers/e9a81bf5d0f0bbe7.pdf data/papers/e9a81bf5d0f0bbe7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning Method Used to find Discrete and Predictive Treatment of Cancer arXiv 2020 https://arxiv.org/pdf/2004.09753v4 6424fbda00ce02cf data/papers/6424fbda00ce02cf.pdf data/papers/6424fbda00ce02cf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection arXiv 2020 https://arxiv.org/pdf/2004.10159v1 53359132051c51ff data/papers/53359132051c51ff.pdf data/papers/53359132051c51ff.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Polyp Segmentation Using Convolutional Neural Networks arXiv 2020 https://arxiv.org/pdf/2004.10792v1 4302f3228712e409 data/papers/4302f3228712e409.pdf data/papers/4302f3228712e409.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms arXiv 2020 https://arxiv.org/pdf/2004.11726v1 e82cbd0ed7c31c11 data/papers/e82cbd0ed7c31c11.pdf data/papers/e82cbd0ed7c31c11.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CS-AF: A Cost-sensitive Multi-classifier Active Fusion Framework for Skin Lesion Classification arXiv 2020 https://arxiv.org/pdf/2004.12064v2 00d3041b09e26919 data/papers/00d3041b09e26919.pdf data/papers/00d3041b09e26919.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy arXiv 2020 https://arxiv.org/pdf/2004.13294v1 8e5f01b28ac1674c data/papers/8e5f01b28ac1674c.pdf data/papers/8e5f01b28ac1674c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Identification of Cervical Pathology using Adversarial Neural Networks arXiv 2020 https://arxiv.org/pdf/2004.13406v1 7cda4a004c003e6a data/papers/7cda4a004c003e6a.pdf data/papers/7cda4a004c003e6a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Analysis of ensemble feature selection for correlated high-dimensional RNA-Seq cancer data arXiv 2020 https://arxiv.org/pdf/2004.13809v1 654a50d220402b31 data/papers/654a50d220402b31.pdf data/papers/654a50d220402b31.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Natural Language Processing Pipeline of Chinese Free-text Radiology Reports for Liver Cancer Diagnosis arXiv 2020 https://arxiv.org/pdf/2004.13848v2 306808295b09fa27 data/papers/306808295b09fa27.pdf data/papers/306808295b09fa27.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning arXiv 2020 https://arxiv.org/pdf/2005.00095v2 0d6d5f1ed768b780 data/papers/0d6d5f1ed768b780.pdf data/papers/0d6d5f1ed768b780.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semiparametric analysis of clustered interval-censored survival data using Soft Bayesian Additive Regression Trees (SBART) arXiv 2020 https://arxiv.org/pdf/2005.02509v2 98ae846b2354f5d4 data/papers/98ae846b2354f5d4.pdf data/papers/98ae846b2354f5d4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data arXiv 2020 https://arxiv.org/pdf/2005.02521v1 d2f095b77e760807 data/papers/d2f095b77e760807.pdf data/papers/d2f095b77e760807.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma arXiv 2020 https://arxiv.org/pdf/2005.04069v1 0a91bc8e4c7fe765 data/papers/0a91bc8e4c7fe765.pdf data/papers/0a91bc8e4c7fe765.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data Integration arXiv 2020 https://arxiv.org/pdf/2005.04139v1 24d519122953f8b7 data/papers/24d519122953f8b7.pdf data/papers/24d519122953f8b7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +JigSaw: A tool for discovering explanatory high-order interactions from random forests arXiv 2020 https://arxiv.org/pdf/2005.04342v1 856af703017647b1 data/papers/856af703017647b1.pdf data/papers/856af703017647b1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Probabilistic Canonical Correlation Analysis for Sparse Count Data arXiv 2020 https://arxiv.org/pdf/2005.04837v1 14ab420eaff18e8f data/papers/14ab420eaff18e8f.pdf data/papers/14ab420eaff18e8f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gleason Score Prediction using Deep Learning in Tissue Microarray Image arXiv 2020 https://arxiv.org/pdf/2005.04886v1 82667a86daca90d7 data/papers/82667a86daca90d7.pdf data/papers/82667a86daca90d7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms arXiv 2020 https://arxiv.org/pdf/2005.05074v1 70f3bd23e6816a1a data/papers/70f3bd23e6816a1a.pdf data/papers/70f3bd23e6816a1a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Medical Image Analysis with Representation Learning and Neuromorphic Computing arXiv 2020 https://arxiv.org/pdf/2005.05431v1 f9f556dd92d34533 data/papers/f9f556dd92d34533.pdf data/papers/f9f556dd92d34533.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detector-SegMentor Network for Skin Lesion Localization and Segmentation arXiv 2020 https://arxiv.org/pdf/2005.06550v1 dd2bc08ebe54ed72 data/papers/dd2bc08ebe54ed72.pdf data/papers/dd2bc08ebe54ed72.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Task Learning in Histo-pathology for Widely Generalizable Model arXiv 2020 https://arxiv.org/pdf/2005.08645v1 fa474570c77cfb47 data/papers/fa474570c77cfb47.pdf data/papers/fa474570c77cfb47.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fast cross-validation for multi-penalty ridge regression arXiv 2020 https://arxiv.org/pdf/2005.09301v2 1a2e5bb9bab0f81f data/papers/1a2e5bb9bab0f81f.pdf data/papers/1a2e5bb9bab0f81f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Review on Computer Vision in Gastric Cancer: Potential Efficient Tools for Diagnosis arXiv 2020 https://arxiv.org/pdf/2005.09459v2 a9c75a758fa03e4d data/papers/a9c75a758fa03e4d.pdf data/papers/a9c75a758fa03e4d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Correlated Mixed Membership Modeling of Somatic Mutations arXiv 2020 https://arxiv.org/pdf/2005.10919v1 053ba7d802b15bb4 data/papers/053ba7d802b15bb4.pdf data/papers/053ba7d802b15bb4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A machine learning approach to using Quality-of-Life patient scores in guiding prostate radiation therapy dosing arXiv 2020 https://arxiv.org/pdf/2005.10951v1 394b9b6e8aed70f9 data/papers/394b9b6e8aed70f9.pdf data/papers/394b9b6e8aed70f9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning arXiv 2020 https://arxiv.org/pdf/2005.10957v2 8259fd28d0d00c48 data/papers/8259fd28d0d00c48.pdf data/papers/8259fd28d0d00c48.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Component-wise Adaptive Trimming For Robust Mixture Regression arXiv 2020 https://arxiv.org/pdf/2005.11599v3 d42cfa4700c5bf1f data/papers/d42cfa4700c5bf1f.pdf data/papers/d42cfa4700c5bf1f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning-based Real-time Volumetric Imaging for Lung Stereotactic Body Radiation Therapy: A Proof of Concept Study arXiv 2020 https://arxiv.org/pdf/2005.11832v1 d53eae9e1983d060 data/papers/d53eae9e1983d060.pdf data/papers/d53eae9e1983d060.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated MRI based pipeline for glioma segmentation and prediction of grade, IDH mutation and 1p19q co-deletion arXiv 2020 https://arxiv.org/pdf/2005.11965v1 30d95dccf217327f data/papers/30d95dccf217327f.pdf data/papers/30d95dccf217327f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction arXiv 2020 https://arxiv.org/pdf/2005.12833v1 4898f33327210145 data/papers/4898f33327210145.pdf data/papers/4898f33327210145.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning-Based Synthetic Dual Energy CT Imaging from Single Energy CT for Stopping Power Ratio Calculation in Proton Radiation Therapy arXiv 2020 https://arxiv.org/pdf/2005.12908v1 d46e52d01eaae95c data/papers/d46e52d01eaae95c.pdf data/papers/d46e52d01eaae95c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An ENAS Based Approach for Constructing Deep Learning Models for Breast Cancer Recognition from Ultrasound Images arXiv 2020 https://arxiv.org/pdf/2005.13695v1 5db3b4a1d3459de9 data/papers/5db3b4a1d3459de9.pdf data/papers/5db3b4a1d3459de9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification arXiv 2020 https://arxiv.org/pdf/2005.13705v1 599e07b1dbb2f170 data/papers/599e07b1dbb2f170.pdf data/papers/599e07b1dbb2f170.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Normalized Fully Convolutional Approach to Head and Neck Cancer Outcome Prediction arXiv 2020 https://arxiv.org/pdf/2005.14017v2 a69313a7d9085b77 data/papers/a69313a7d9085b77.pdf data/papers/a69313a7d9085b77.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms arXiv 2020 https://arxiv.org/pdf/2006.00086v1 b1a8e16949757644 data/papers/b1a8e16949757644.pdf data/papers/b1a8e16949757644.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SDCT-AuxNet$^θ$: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis arXiv 2020 https://arxiv.org/pdf/2006.00304v2 8a37e7bafbfd7b50 data/papers/8a37e7bafbfd7b50.pdf data/papers/8a37e7bafbfd7b50.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Probabilistic self-learning framework for Low-dose CT Denoising arXiv 2020 https://arxiv.org/pdf/2006.00327v2 71b8216af0b2bcfa data/papers/71b8216af0b2bcfa.pdf data/papers/71b8216af0b2bcfa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using Generative Models for Pediatric wbMRI arXiv 2020 https://arxiv.org/pdf/2006.00727v1 194b82b8a8deb8ee data/papers/194b82b8a8deb8ee.pdf data/papers/194b82b8a8deb8ee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks arXiv 2020 https://arxiv.org/pdf/2006.01693v1 71c135c3957978b8 data/papers/71c135c3957978b8.pdf data/papers/71c135c3957978b8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Artificial Neural Network Based Breast Cancer Screening: A Comprehensive Review arXiv 2020 https://arxiv.org/pdf/2006.01767v1 319eb78d082e3a90 data/papers/319eb78d082e3a90.pdf data/papers/319eb78d082e3a90.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Double Generative Adversarial Networks for Conditional Independence Testing arXiv 2020 https://arxiv.org/pdf/2006.02615v3 d53a3989f6beeafc data/papers/d53a3989f6beeafc.pdf data/papers/d53a3989f6beeafc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Automatic Whole Brain Extraction on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnet arXiv 2020 https://arxiv.org/pdf/2006.02627v1 ad452d0217c14460 data/papers/ad452d0217c14460.pdf data/papers/ad452d0217c14460.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels arXiv 2020 https://arxiv.org/pdf/2006.03394v1 4dc15dee41f58fa7 data/papers/4dc15dee41f58fa7.pdf data/papers/4dc15dee41f58fa7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fast and Powerful Conditional Randomization Testing via Distillation arXiv 2020 https://arxiv.org/pdf/2006.03980v4 cc3f0981c34fdc15 data/papers/cc3f0981c34fdc15.pdf data/papers/cc3f0981c34fdc15.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future arXiv 2020 https://arxiv.org/pdf/2006.05861v1 19ba6a50ba9eef04 data/papers/19ba6a50ba9eef04.pdf data/papers/19ba6a50ba9eef04.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation arXiv 2020 https://arxiv.org/pdf/2006.06508v2 e237b3a953763efb data/papers/e237b3a953763efb.pdf data/papers/e237b3a953763efb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images arXiv 2020 https://arxiv.org/pdf/2006.06531v1 c75d37be78c8e996 data/papers/c75d37be78c8e996.pdf data/papers/c75d37be78c8e996.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable, similarity-driven multi-view embeddings from high-dimensional biomedical data arXiv 2020 https://arxiv.org/pdf/2006.06545v3 6b36e4fd740b7771 data/papers/6b36e4fd740b7771.pdf data/papers/6b36e4fd740b7771.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dermatologist vs Neural Network arXiv 2020 https://arxiv.org/pdf/2006.08254v1 0e4fda5c55a90ac2 data/papers/0e4fda5c55a90ac2.pdf data/papers/0e4fda5c55a90ac2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Finding All ε-Good Arms in Stochastic Bandits arXiv 2020 https://arxiv.org/pdf/2006.08850v2 3780727e2514238e data/papers/3780727e2514238e.pdf data/papers/3780727e2514238e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Visualization for Histopathology Images using Graph Convolutional Neural Networks arXiv 2020 https://arxiv.org/pdf/2006.09464v1 17e23ea5b2dcac70 data/papers/17e23ea5b2dcac70.pdf data/papers/17e23ea5b2dcac70.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mitosis Detection Under Limited Annotation: A Joint Learning Approach arXiv 2020 https://arxiv.org/pdf/2006.09772v2 c824052e37ff683d data/papers/c824052e37ff683d.pdf data/papers/c824052e37ff683d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatial-And-Context aware (SpACe) "virtual biopsy" radiogenomic maps to target tumor mutational status on structural MRI arXiv 2020 https://arxiv.org/pdf/2006.09878v1 21ead69f9416cdd8 data/papers/21ead69f9416cdd8.pdf data/papers/21ead69f9416cdd8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Learning of Deep-Learned Features from Breast Cancer Images arXiv 2020 https://arxiv.org/pdf/2006.11843v1 ca724eba2c1bdb1f data/papers/ca724eba2c1bdb1f.pdf data/papers/ca724eba2c1bdb1f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Belief Network based representation learning for lncRNA-disease association prediction arXiv 2020 https://arxiv.org/pdf/2006.12534v1 b3b335e0f49798e4 data/papers/b3b335e0f49798e4.pdf data/papers/b3b335e0f49798e4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Tumor Growth via Follow-Up Volume Prediction for Lung Nodules arXiv 2020 https://arxiv.org/pdf/2006.13890v2 5033988b68b9d1a2 data/papers/5033988b68b9d1a2.pdf data/papers/5033988b68b9d1a2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary arXiv 2020 https://arxiv.org/pdf/2006.13932v2 9c0a161396672fa6 data/papers/9c0a161396672fa6.pdf data/papers/9c0a161396672fa6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures arXiv 2020 https://arxiv.org/pdf/2006.14321v1 ff8bdaecc842b396 data/papers/ff8bdaecc842b396.pdf data/papers/ff8bdaecc842b396.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction arXiv 2020 https://arxiv.org/pdf/2006.14395v1 4fa0b763f6aa6f32 data/papers/4fa0b763f6aa6f32.pdf data/papers/4fa0b763f6aa6f32.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning arXiv 2020 https://arxiv.org/pdf/2006.15691v2 efd341b7eb9d9212 data/papers/efd341b7eb9d9212.pdf data/papers/efd341b7eb9d9212.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of cancer pathology reports: a large-scale comparative study arXiv 2020 https://arxiv.org/pdf/2006.16370v1 852c9efc5f177cc3 data/papers/852c9efc5f177cc3.pdf data/papers/852c9efc5f177cc3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning arXiv 2020 https://arxiv.org/pdf/2006.16633v1 6b224f4457d76b13 data/papers/6b224f4457d76b13.pdf data/papers/6b224f4457d76b13.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Approach for Clustering Subjects According to Similarities in Cell Distributions within Biopsies arXiv 2020 https://arxiv.org/pdf/2007.00135v2 60528cf263803aba data/papers/60528cf263803aba.pdf data/papers/60528cf263803aba.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Explainable Graph Representations in Digital Pathology arXiv 2020 https://arxiv.org/pdf/2007.00311v1 1cd8d39970e2d9bb data/papers/1cd8d39970e2d9bb.pdf data/papers/1cd8d39970e2d9bb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-resolution Super Learner for Voxel-wise Classification of Prostate Cancer Using Multi-parametric MRI arXiv 2020 https://arxiv.org/pdf/2007.00816v2 48cc8022efdacfcb data/papers/48cc8022efdacfcb.pdf data/papers/48cc8022efdacfcb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment arXiv 2020 https://arxiv.org/pdf/2007.01017v1 f4c86eec77475101 data/papers/f4c86eec77475101.pdf data/papers/f4c86eec77475101.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification arXiv 2020 https://arxiv.org/pdf/2007.01042v1 8f9cf80f72905428 data/papers/8f9cf80f72905428.pdf data/papers/8f9cf80f72905428.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Selecting Regions of Interest in Large Multi-Scale Images for Cancer Pathology arXiv 2020 https://arxiv.org/pdf/2007.01866v1 f9f4d49816b45f09 data/papers/f9f4d49816b45f09.pdf data/papers/f9f4d49816b45f09.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semantic Segmentation Using Deep Learning to Extract Total Extraocular Muscles and Optic Nerve from Orbital Computed Tomography Images arXiv 2020 https://arxiv.org/pdf/2007.02091v1 5914353b79b4b9c7 data/papers/5914353b79b4b9c7.pdf data/papers/5914353b79b4b9c7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches arXiv 2020 https://arxiv.org/pdf/2007.02200v3 0e7e68c4d319c2f4 data/papers/0e7e68c4d319c2f4.pdf data/papers/0e7e68c4d319c2f4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer arXiv 2020 https://arxiv.org/pdf/2007.03292v1 4744019dc49d9b28 data/papers/4744019dc49d9b28.pdf data/papers/4744019dc49d9b28.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions arXiv 2020 https://arxiv.org/pdf/2007.03326v3 8bc7ff538e65835e data/papers/8bc7ff538e65835e.pdf data/papers/8bc7ff538e65835e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +C2G-Net: Exploiting Morphological Properties for Image Classification arXiv 2020 https://arxiv.org/pdf/2007.03378v1 32bc59b9d27a5a6e data/papers/32bc59b9d27a5a6e.pdf data/papers/32bc59b9d27a5a6e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LORCK: Learnable Object-Resembling Convolution Kernels arXiv 2020 https://arxiv.org/pdf/2007.05103v2 a0c3990fc2b36888 data/papers/a0c3990fc2b36888.pdf data/papers/a0c3990fc2b36888.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models arXiv 2020 https://arxiv.org/pdf/2007.05791v4 25462bd0dec207fa data/papers/25462bd0dec207fa.pdf data/papers/25462bd0dec207fa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning for Quantile Regression under Right Censoring: DeepQuantreg arXiv 2020 https://arxiv.org/pdf/2007.07056v2 b7a84238ce3a132b data/papers/b7a84238ce3a132b.pdf data/papers/b7a84238ce3a132b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of Cancer Microarray and DNA Methylation Data using Non-negative Matrix Factorization arXiv 2020 https://arxiv.org/pdf/2007.08652v1 280a8407e6d0de5c data/papers/280a8407e6d0de5c.pdf data/papers/280a8407e6d0de5c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-similarity Student for Partial Label Histopathology Image Segmentation arXiv 2020 https://arxiv.org/pdf/2007.09610v1 036e2e10aca44276 data/papers/036e2e10aca44276.pdf data/papers/036e2e10aca44276.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +E$^2$Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans arXiv 2020 https://arxiv.org/pdf/2007.09791v1 e85feafca72167d4 data/papers/e85feafca72167d4.pdf data/papers/e85feafca72167d4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications arXiv 2020 https://arxiv.org/pdf/2007.09979v2 0251be75eefedc90 data/papers/0251be75eefedc90.pdf data/papers/0251be75eefedc90.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Feature based Sequential Classifier with Attention Mechanism arXiv 2020 https://arxiv.org/pdf/2007.11392v1 cbd462fe1d05d17f data/papers/cbd462fe1d05d17f.pdf data/papers/cbd462fe1d05d17f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D Neural Network for Lung Cancer Risk Prediction on CT Volumes arXiv 2020 https://arxiv.org/pdf/2007.12898v1 c90d1eae3b0decce data/papers/c90d1eae3b0decce.pdf data/papers/c90d1eae3b0decce.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A deep learning based multiscale approach to segment cancer area in liver whole slide image arXiv 2020 https://arxiv.org/pdf/2007.12935v1 c5ac574ec075dc16 data/papers/c5ac574ec075dc16.pdf data/papers/c5ac574ec075dc16.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Doubly Robust Nonparametric Instrumental Variable Estimators for Survival Outcomes arXiv 2020 https://arxiv.org/pdf/2007.12973v2 6a7acaaa4c223a11 data/papers/6a7acaaa4c223a11.pdf data/papers/6a7acaaa4c223a11.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detecting and analysing spontaneous oral cancer speech in the wild arXiv 2020 https://arxiv.org/pdf/2007.14205v1 c8e5d49f1a00e887 data/papers/c8e5d49f1a00e887.pdf data/papers/c8e5d49f1a00e887.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accuracy and stability of solar variable selection comparison under complicated dependence structures arXiv 2020 https://arxiv.org/pdf/2007.15614v2 fc98d8655d1c8b47 data/papers/fc98d8655d1c8b47.pdf data/papers/fc98d8655d1c8b47.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sparse tree-based clustering of microbiome data to characterize microbiome heterogeneity in pancreatic cancer arXiv 2020 https://arxiv.org/pdf/2007.15812v3 f4ef72a52997a9dc data/papers/f4ef72a52997a9dc.pdf data/papers/f4ef72a52997a9dc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards personalized computer simulations of breast cancer treatment arXiv 2020 https://arxiv.org/pdf/2007.15934v1 9f17803190284a1c data/papers/9f17803190284a1c.pdf data/papers/9f17803190284a1c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network arXiv 2020 https://arxiv.org/pdf/2007.16133v1 fb2e80c9b5945f5b data/papers/fb2e80c9b5945f5b.pdf data/papers/fb2e80c9b5945f5b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Screening and evaluation of potential clinically significant HIV drug combinations against SARS-CoV-2 virus arXiv 2020 https://arxiv.org/pdf/2007.16177v1 3fbb9bbf25196dd8 data/papers/3fbb9bbf25196dd8.pdf data/papers/3fbb9bbf25196dd8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis arXiv 2020 https://arxiv.org/pdf/2008.00119v1 52eaa855d5ef1a08 data/papers/52eaa855d5ef1a08.pdf data/papers/52eaa855d5ef1a08.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Visual Analytics Framework for Contrastive Network Analysis arXiv 2020 https://arxiv.org/pdf/2008.00151v2 ebf8d770a1f51264 data/papers/ebf8d770a1f51264.pdf data/papers/ebf8d770a1f51264.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection arXiv 2020 https://arxiv.org/pdf/2008.00936v1 b2338dcf88f5abb4 data/papers/b2338dcf88f5abb4.pdf data/papers/b2338dcf88f5abb4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Model Reduction of Shallow CNN Model for Reliable Deployment of Information Extraction from Medical Reports arXiv 2020 https://arxiv.org/pdf/2008.01572v1 c15f01560d3d72c9 data/papers/c15f01560d3d72c9.pdf data/papers/c15f01560d3d72c9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Human Mesenchymal Stromal Cells to Osteosarcoma Cells Classification by Deep Learning arXiv 2020 https://arxiv.org/pdf/2008.01864v1 95fa918b89a3d00e data/papers/95fa918b89a3d00e.pdf data/papers/95fa918b89a3d00e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Analysing Risk of Coronary Heart Disease through Discriminative Neural Networks arXiv 2020 https://arxiv.org/pdf/2008.02731v1 705bd2b710decb3f data/papers/705bd2b710decb3f.pdf data/papers/705bd2b710decb3f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography arXiv 2020 https://arxiv.org/pdf/2008.02957v2 76054e150243cd92 data/papers/76054e150243cd92.pdf data/papers/76054e150243cd92.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Convolutional neural network based deep-learning architecture for intraprostatic tumour contouring on PSMA PET images in patients with primary prostate cancer arXiv 2020 https://arxiv.org/pdf/2008.03201v1 0b60aa3f70438430 data/papers/0b60aa3f70438430.pdf data/papers/0b60aa3f70438430.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound arXiv 2020 https://arxiv.org/pdf/2008.03435v1 d4375c52fb6cd99b data/papers/d4375c52fb6cd99b.pdf data/papers/d4375c52fb6cd99b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Partitioning signal classes using transport transforms for data analysis and machine learning arXiv 2020 https://arxiv.org/pdf/2008.03452v2 79855791687a9be4 data/papers/79855791687a9be4.pdf data/papers/79855791687a9be4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An AI-powered blood test to detect cancer using nanoDSF arXiv 2020 https://arxiv.org/pdf/2008.03493v1 0f4ec54baf4178ac data/papers/0f4ec54baf4178ac.pdf data/papers/0f4ec54baf4178ac.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Extended Particle Swarm Optimization (EPSO) for Feature Selection of High Dimensional Biomedical Data arXiv 2020 https://arxiv.org/pdf/2008.03530v1 1367b2d639f1dce4 data/papers/1367b2d639f1dce4.pdf data/papers/1367b2d639f1dce4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning the dynamics of cell-cell interactions in confined cell migration arXiv 2020 https://arxiv.org/pdf/2008.03978v2 f987ae2daf7c3cae data/papers/f987ae2daf7c3cae.pdf data/papers/f987ae2daf7c3cae.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ARPM-net: A novel CNN-based adversarial method with Markov Random Field enhancement for prostate and organs at risk segmentation in pelvic CT images arXiv 2020 https://arxiv.org/pdf/2008.04488v4 8036b7b1dd659803 data/papers/8036b7b1dd659803.pdf data/papers/8036b7b1dd659803.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images arXiv 2020 https://arxiv.org/pdf/2008.04526v2 35315f16ac6ea3b8 data/papers/35315f16ac6ea3b8.pdf data/papers/35315f16ac6ea3b8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images arXiv 2020 https://arxiv.org/pdf/2008.05332v1 1247e6cc5a0329b2 data/papers/1247e6cc5a0329b2.pdf data/papers/1247e6cc5a0329b2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks arXiv 2020 https://arxiv.org/pdf/2008.05566v1 3a2338fe4dfcbf31 data/papers/3a2338fe4dfcbf31.pdf data/papers/3a2338fe4dfcbf31.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MIXCAPS: A Capsule Network-based Mixture of Experts for Lung Nodule Malignancy Prediction arXiv 2020 https://arxiv.org/pdf/2008.06072v1 7b6dbe2fc2932a24 data/papers/7b6dbe2fc2932a24.pdf data/papers/7b6dbe2fc2932a24.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Open source tools for management and archiving of digital microscopy data to allow integration with patient pathology and treatment information arXiv 2020 https://arxiv.org/pdf/2008.06837v1 47d139b8e58ac923 data/papers/47d139b8e58ac923.pdf data/papers/47d139b8e58ac923.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography arXiv 2020 https://arxiv.org/pdf/2008.06997v2 2d5715aa30f3a09e data/papers/2d5715aa30f3a09e.pdf data/papers/2d5715aa30f3a09e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes arXiv 2020 https://arxiv.org/pdf/2008.07687v2 9c2b592fcf222d08 data/papers/9c2b592fcf222d08.pdf data/papers/9c2b592fcf222d08.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning-based transformation of the H&E stain into special stains arXiv 2020 https://arxiv.org/pdf/2008.08871v2 4aac67ba7567993b data/papers/4aac67ba7567993b.pdf data/papers/4aac67ba7567993b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Variational Autoencoder for Anti-Cancer Drug Response Prediction arXiv 2020 https://arxiv.org/pdf/2008.09763v7 d0734635b38ae919 data/papers/d0734635b38ae919.pdf data/papers/d0734635b38ae919.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research arXiv 2020 https://arxiv.org/pdf/2008.10244v2 7ee52d9da42b8a8d data/papers/7ee52d9da42b8a8d.pdf data/papers/7ee52d9da42b8a8d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable Disease Classification via weakly-supervised segmentation arXiv 2020 https://arxiv.org/pdf/2008.10268v1 d5a1577846e13e7a data/papers/d5a1577846e13e7a.pdf data/papers/d5a1577846e13e7a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A general kernel boosting framework integrating pathways for predictive modeling based on genomic data arXiv 2020 https://arxiv.org/pdf/2008.11384v2 be67e7b0715df35b data/papers/be67e7b0715df35b.pdf data/papers/be67e7b0715df35b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging arXiv 2020 https://arxiv.org/pdf/2008.11853v1 968a5174d492913e data/papers/968a5174d492913e.pdf data/papers/968a5174d492913e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy arXiv 2020 https://arxiv.org/pdf/2008.11870v1 29336fd803b3c104 data/papers/29336fd803b3c104.pdf data/papers/29336fd803b3c104.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Properties Of Winning Tickets On Skin Lesion Classification arXiv 2020 https://arxiv.org/pdf/2008.12141v1 8ed73474a6a662fd data/papers/8ed73474a6a662fd.pdf data/papers/8ed73474a6a662fd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Digital pathology-based study of cell- and tissue-level morphologic features in serous borderline ovarian tumor and high-grade serous ovarian cancer arXiv 2020 https://arxiv.org/pdf/2008.12479v1 7e4c14eb4e0485cc data/papers/7e4c14eb4e0485cc.pdf data/papers/7e4c14eb4e0485cc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical Deep Learning Ensemble to Automate the Classification of Breast Cancer Pathology Reports by ICD-O Topography arXiv 2020 https://arxiv.org/pdf/2008.12571v1 698c1fae9218f878 data/papers/698c1fae9218f878.pdf data/papers/698c1fae9218f878.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification arXiv 2020 https://arxiv.org/pdf/2008.12602v1 ee740d3cd9a3f925 data/papers/ee740d3cd9a3f925.pdf data/papers/ee740d3cd9a3f925.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias Assessments arXiv 2020 https://arxiv.org/pdf/2008.12829v2 e2b830e100f89cf0 data/papers/e2b830e100f89cf0.pdf data/papers/e2b830e100f89cf0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination arXiv 2020 https://arxiv.org/pdf/2008.13002v1 2fd87ebb728868be data/papers/2fd87ebb728868be.pdf data/papers/2fd87ebb728868be.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Variable selection in social-environmental data: Sparse regression and tree ensemble machine learning approaches arXiv 2020 https://arxiv.org/pdf/2009.00065v1 ed86272ad2eb0732 data/papers/ed86272ad2eb0732.pdf data/papers/ed86272ad2eb0732.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical Deep Learning Classification of Unstructured Pathology Reports to Automate ICD-O Morphology Grading arXiv 2020 https://arxiv.org/pdf/2009.00542v1 fa8af2ba282b8a0f data/papers/fa8af2ba282b8a0f.pdf data/papers/fa8af2ba282b8a0f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast mass detection in digital mammography based on anchor-free architecture arXiv 2020 https://arxiv.org/pdf/2009.00857v1 ade74dda8d43d417 data/papers/ade74dda8d43d417.pdf data/papers/ade74dda8d43d417.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Pace of Artificial Intelligence Innovations: Speed, Talent, and Trial-and-Error arXiv 2020 https://arxiv.org/pdf/2009.01812v1 659bfb288db1132d data/papers/659bfb288db1132d.pdf data/papers/659bfb288db1132d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction arXiv 2020 https://arxiv.org/pdf/2009.04076v2 20e1c523b0576d63 data/papers/20e1c523b0576d63.pdf data/papers/20e1c523b0576d63.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning Against Cancer: Accurate Diagnosis of Cancer by Machine Learning Classification of the Whole Genome Sequencing Data arXiv 2020 https://arxiv.org/pdf/2009.05847v1 fa728a4a8e307069 data/papers/fa728a4a8e307069.pdf data/papers/fa728a4a8e307069.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transfer learning with class-weighted and focal loss function for automatic skin cancer classification arXiv 2020 https://arxiv.org/pdf/2009.05977v1 2cff82f132d43cd4 data/papers/2cff82f132d43cd4.pdf data/papers/2cff82f132d43cd4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Polyp-artifact relationship analysis using graph inductive learned representations arXiv 2020 https://arxiv.org/pdf/2009.07109v1 6fb0e3efd3c881f3 data/papers/6fb0e3efd3c881f3.pdf data/papers/6fb0e3efd3c881f3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +General DeepLCP model for disease prediction : Case of Lung Cancer arXiv 2020 https://arxiv.org/pdf/2009.07362v1 c3f2e771e16c6ed6 data/papers/c3f2e771e16c6ed6.pdf data/papers/c3f2e771e16c6ed6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Knowledge-based Radiation Treatment Planning: A Data-driven Method Survey arXiv 2020 https://arxiv.org/pdf/2009.07388v2 f3d43bbb529fb128 data/papers/f3d43bbb529fb128.pdf data/papers/f3d43bbb529fb128.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RCNN for Region of Interest Detection in Whole Slide Images arXiv 2020 https://arxiv.org/pdf/2009.07532v2 8121d30f684424ce data/papers/8121d30f684424ce.pdf data/papers/8121d30f684424ce.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer arXiv 2020 https://arxiv.org/pdf/2009.08917v1 c0292b7f1d3432f6 data/papers/c0292b7f1d3432f6.pdf data/papers/c0292b7f1d3432f6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Beyond Social Media Analytics: Understanding Human Behaviour and Deep Emotion using Self Structuring Incremental Machine Learning arXiv 2020 https://arxiv.org/pdf/2009.09078v1 dc2127fd26bd8a70 data/papers/dc2127fd26bd8a70.pdf data/papers/dc2127fd26bd8a70.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms arXiv 2020 https://arxiv.org/pdf/2009.09282v1 8f50c8e236020cdb data/papers/8f50c8e236020cdb.pdf data/papers/8f50c8e236020cdb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound arXiv 2020 https://arxiv.org/pdf/2009.11009v1 9e5fa2dda892bf13 data/papers/9e5fa2dda892bf13.pdf data/papers/9e5fa2dda892bf13.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection arXiv 2020 https://arxiv.org/pdf/2009.11587v1 439d81a15f931b7a data/papers/439d81a15f931b7a.pdf data/papers/439d81a15f931b7a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Review of Complex Systems Approaches to Cancer Networks arXiv 2020 https://arxiv.org/pdf/2009.12693v4 59c34253fff7f6d3 data/papers/59c34253fff7f6d3.pdf data/papers/59c34253fff7f6d3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation arXiv 2020 https://arxiv.org/pdf/2009.12894v1 2a73de7dd28a9ebd data/papers/2a73de7dd28a9ebd.pdf data/papers/2a73de7dd28a9ebd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application arXiv 2020 https://arxiv.org/pdf/2009.13580v1 19f085b4b2e4c77c data/papers/19f085b4b2e4c77c.pdf data/papers/19f085b4b2e4c77c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey arXiv 2020 https://arxiv.org/pdf/2010.00353v1 532e46a073886ceb data/papers/532e46a073886ceb.pdf data/papers/532e46a073886ceb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Incorporating network based protein complex discovery into automated model construction arXiv 2020 https://arxiv.org/pdf/2010.00387v1 5670f648e7ccc4ef data/papers/5670f648e7ccc4ef.pdf data/papers/5670f648e7ccc4ef.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review arXiv 2020 https://arxiv.org/pdf/2010.00961v1 293c3865dbdb7b97 data/papers/293c3865dbdb7b97.pdf data/papers/293c3865dbdb7b97.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Assessing Automated Machine Learning service to detect COVID-19 from X-Ray and CT images: A Real-time Smartphone Application case study arXiv 2020 https://arxiv.org/pdf/2010.02715v1 0588965963479eb6 data/papers/0588965963479eb6.pdf data/papers/0588965963479eb6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bayesian Distance Weighted Discrimination arXiv 2020 https://arxiv.org/pdf/2010.03111v1 b4a19a6cc7a0a686 data/papers/b4a19a6cc7a0a686.pdf data/papers/b4a19a6cc7a0a686.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computational analysis of pathological image enables interpretable prediction for microsatellite instability arXiv 2020 https://arxiv.org/pdf/2010.03130v1 fadee933247d4f73 data/papers/fadee933247d4f73.pdf data/papers/fadee933247d4f73.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images arXiv 2020 https://arxiv.org/pdf/2010.03244v1 28fbb21a4fa48dd7 data/papers/28fbb21a4fa48dd7.pdf data/papers/28fbb21a4fa48dd7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study arXiv 2020 https://arxiv.org/pdf/2010.04049v1 6433cf7675cd051d data/papers/6433cf7675cd051d.pdf data/papers/6433cf7675cd051d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response arXiv 2020 https://arxiv.org/pdf/2010.04062v1 0789ef2a8b0f1f82 data/papers/0789ef2a8b0f1f82.pdf data/papers/0789ef2a8b0f1f82.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synthetic MRI-aided Head-and-Neck Organs-at-Risk Auto-Delineation for CBCT-guided Adaptive Radiotherapy arXiv 2020 https://arxiv.org/pdf/2010.04275v1 f7ecb7c7191f1f26 data/papers/f7ecb7c7191f1f26.pdf data/papers/f7ecb7c7191f1f26.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PathoNet: Deep learning assisted evaluation of Ki-67 and tumor infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A large dataset and baseline arXiv 2020 https://arxiv.org/pdf/2010.04713v3 bb9b8a511c72e5df data/papers/bb9b8a511c72e5df.pdf data/papers/bb9b8a511c72e5df.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Cross-Level Information Transmission Network for Predicting Phenotype from New Genotype: Application to Cancer Precision Medicine arXiv 2020 https://arxiv.org/pdf/2010.04824v1 ab408bde4533d9e2 data/papers/ab408bde4533d9e2.pdf data/papers/ab408bde4533d9e2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Active Learning for Joint Classification & Segmentation with Weak Annotator arXiv 2020 https://arxiv.org/pdf/2010.04889v2 487854649e003665 data/papers/487854649e003665.pdf data/papers/487854649e003665.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Encoder-Decoder CNN for Hair Removal in Dermoscopic Images arXiv 2020 https://arxiv.org/pdf/2010.05013v1 7b2b62bc998b0178 data/papers/7b2b62bc998b0178.pdf data/papers/7b2b62bc998b0178.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explaining Clinical Decision Support Systems in Medical Imaging using Cycle-Consistent Activation Maximization arXiv 2020 https://arxiv.org/pdf/2010.05759v3 1ece89e5de384cca data/papers/1ece89e5de384cca.pdf data/papers/1ece89e5de384cca.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy arXiv 2020 https://arxiv.org/pdf/2010.06034v2 5dbec878f44e471a data/papers/5dbec878f44e471a.pdf data/papers/5dbec878f44e471a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis arXiv 2020 https://arxiv.org/pdf/2010.06224v1 3c8e458a856e36b5 data/papers/3c8e458a856e36b5.pdf data/papers/3c8e458a856e36b5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification arXiv 2020 https://arxiv.org/pdf/2010.06440v1 85aaccd6bd9e02a8 data/papers/85aaccd6bd9e02a8.pdf data/papers/85aaccd6bd9e02a8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study arXiv 2020 https://arxiv.org/pdf/2010.06995v1 e4ad115280870929 data/papers/e4ad115280870929.pdf data/papers/e4ad115280870929.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation arXiv 2020 https://arxiv.org/pdf/2010.07411v2 99900ca7fb847696 data/papers/99900ca7fb847696.pdf data/papers/99900ca7fb847696.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust weights that optimally balance confounders for estimating marginal hazard ratios arXiv 2020 https://arxiv.org/pdf/2010.07695v2 a41b2c4b55805bc5 data/papers/a41b2c4b55805bc5.pdf data/papers/a41b2c4b55805bc5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CT Image Segmentation for Inflamed and Fibrotic Lungs Using a Multi-Resolution Convolutional Neural Network arXiv 2020 https://arxiv.org/pdf/2010.08582v2 12043f58f5133300 data/papers/12043f58f5133300.pdf data/papers/12043f58f5133300.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Markov Neighborhood Regression for High-Dimensional Inference arXiv 2020 https://arxiv.org/pdf/2010.08864v1 927889b2329be56e data/papers/927889b2329be56e.pdf data/papers/927889b2329be56e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk arXiv 2020 https://arxiv.org/pdf/2010.09524v2 f51cf575cea548db data/papers/f51cf575cea548db.pdf data/papers/f51cf575cea548db.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Micro CT Image-Assisted Cross Modality Super-Resolution of Clinical CT Images Utilizing Synthesized Training Dataset arXiv 2020 https://arxiv.org/pdf/2010.10207v1 ef9962ce3da96d9e data/papers/ef9962ce3da96d9e.pdf data/papers/ef9962ce3da96d9e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lung Nodule Classification Using Biomarkers, Volumetric Radiomics and 3D CNNs arXiv 2020 https://arxiv.org/pdf/2010.11682v1 f0a40916fb2bebad data/papers/f0a40916fb2bebad.pdf data/papers/f0a40916fb2bebad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Extracellular Matrix regulates the morphodynamics of 3D migrating cancer cells arXiv 2020 https://arxiv.org/pdf/2010.12054v2 8ad88a1407715976 data/papers/8ad88a1407715976.pdf data/papers/8ad88a1407715976.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BayCANN: Streamlining Bayesian Calibration with Artificial Neural Network Metamodeling arXiv 2020 https://arxiv.org/pdf/2010.13452v1 c7005c47c4140f3e data/papers/c7005c47c4140f3e.pdf data/papers/c7005c47c4140f3e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accurate Prostate Cancer Detection and Segmentation on Biparametric MRI using Non-local Mask R-CNN with Histopathological Ground Truth arXiv 2020 https://arxiv.org/pdf/2010.15233v1 f289198f508b1aee data/papers/f289198f508b1aee.pdf data/papers/f289198f508b1aee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification arXiv 2020 https://arxiv.org/pdf/2010.15417v3 b048c79eff0f4bae data/papers/b048c79eff0f4bae.pdf data/papers/b048c79eff0f4bae.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A semi-supervised autoencoder framework for joint generation and classification of breathing arXiv 2020 https://arxiv.org/pdf/2010.15579v2 bfa5c271d46cdf6d data/papers/bfa5c271d46cdf6d.pdf data/papers/bfa5c271d46cdf6d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive cognition implemented with a context-aware and flexible neuron for next-generation artificial intelligence arXiv 2020 https://arxiv.org/pdf/2010.15748v4 f8f4df4adf3a6505 data/papers/f8f4df4adf3a6505.pdf data/papers/f8f4df4adf3a6505.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ink Marker Segmentation in Histopathology Images Using Deep Learning arXiv 2020 https://arxiv.org/pdf/2010.15865v1 043e3ffbdff13c12 data/papers/043e3ffbdff13c12.pdf data/papers/043e3ffbdff13c12.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detecting small polyps using a Dynamic SSD-GAN arXiv 2020 https://arxiv.org/pdf/2010.15937v1 1a167b994474b625 data/papers/1a167b994474b625.pdf data/papers/1a167b994474b625.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Development and Evaluation of a Deep Neural Network for Histologic Classification of Renal Cell Carcinoma on Biopsy and Surgical Resection Slides arXiv 2020 https://arxiv.org/pdf/2010.16380v1 c43bc5b2c2c8d249 data/papers/c43bc5b2c2c8d249.pdf data/papers/c43bc5b2c2c8d249.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation arXiv 2020 https://arxiv.org/pdf/2011.00148v1 123dde5298d735e6 data/papers/123dde5298d735e6.pdf data/papers/123dde5298d735e6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmentation of Infrared Breast Images Using MultiResUnet Neural Network arXiv 2020 https://arxiv.org/pdf/2011.00376v1 2bd6a3609d454e72 data/papers/2bd6a3609d454e72.pdf data/papers/2bd6a3609d454e72.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Brain Tumor Classification Using Medial Residual Encoder Layers arXiv 2020 https://arxiv.org/pdf/2011.00628v2 587f30ce8a8cc4f0 data/papers/587f30ce8a8cc4f0.pdf data/papers/587f30ce8a8cc4f0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RRScell method for automated single-cell profiling of multiplexed immunofluorescence cancer tissue arXiv 2020 https://arxiv.org/pdf/2011.01002v2 03b4c166ecf0f4f6 data/papers/03b4c166ecf0f4f6.pdf data/papers/03b4c166ecf0f4f6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep Learning Study on Osteosarcoma Detection from Histological Images arXiv 2020 https://arxiv.org/pdf/2011.01177v1 27495f4c56ebec53 data/papers/27495f4c56ebec53.pdf data/papers/27495f4c56ebec53.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning arXiv 2020 https://arxiv.org/pdf/2011.02679v1 bc7d40a9fe81e07b data/papers/bc7d40a9fe81e07b.pdf data/papers/bc7d40a9fe81e07b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Double diffusion encoding and applications for biomedical imaging arXiv 2020 https://arxiv.org/pdf/2011.02913v1 6b23255c139d017a data/papers/6b23255c139d017a.pdf data/papers/6b23255c139d017a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation arXiv 2020 https://arxiv.org/pdf/2011.03908v1 c8e2696cdecc5e4f data/papers/c8e2696cdecc5e4f.pdf data/papers/c8e2696cdecc5e4f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Analysis of Dimensional Influence of Convolutional Neural Networks for Histopathological Cancer Classification arXiv 2020 https://arxiv.org/pdf/2011.04057v2 2450407b919b9964 data/papers/2450407b919b9964.pdf data/papers/2450407b919b9964.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Transfer Learning for Automated Diagnosis of Skin Lesions from Photographs arXiv 2020 https://arxiv.org/pdf/2011.04475v3 8838e181043bc1f3 data/papers/8838e181043bc1f3.pdf data/papers/8838e181043bc1f3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Label-free Raman spectroscopy and machine learning enables sensitive evaluation of differential response to immunotherapy arXiv 2020 https://arxiv.org/pdf/2011.05304v1 8f11f102212e41c3 data/papers/8f11f102212e41c3.pdf data/papers/8f11f102212e41c3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Derived Histopathology Image Score for Increasing Phase 3 Clinical Trial Probability of Success arXiv 2020 https://arxiv.org/pdf/2011.05406v1 4830038936de2203 data/papers/4830038936de2203.pdf data/papers/4830038936de2203.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends arXiv 2020 https://arxiv.org/pdf/2011.05790v1 7f2d7ca070c610fe data/papers/7f2d7ca070c610fe.pdf data/papers/7f2d7ca070c610fe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images arXiv 2020 https://arxiv.org/pdf/2011.05791v1 af83c41a7b0706f0 data/papers/af83c41a7b0706f0.pdf data/papers/af83c41a7b0706f0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sketch and Scale: Geo-distributed tSNE and UMAP arXiv 2020 https://arxiv.org/pdf/2011.06103v1 89edd331dc32b8ca data/papers/89edd331dc32b8ca.pdf data/papers/89edd331dc32b8ca.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +VARCLUST: clustering variables using dimensionality reduction arXiv 2020 https://arxiv.org/pdf/2011.06501v2 3a16827254e5d284 data/papers/3a16827254e5d284.pdf data/papers/3a16827254e5d284.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A stability-driven protocol for drug response interpretable prediction (staDRIP) arXiv 2020 https://arxiv.org/pdf/2011.06593v2 2ab4acc6444406ac data/papers/2ab4acc6444406ac.pdf data/papers/2ab4acc6444406ac.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Metastatic Cancer Image Classification Based On Deep Learning Method arXiv 2020 https://arxiv.org/pdf/2011.06984v1 77db8453182d283b data/papers/77db8453182d283b.pdf data/papers/77db8453182d283b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty arXiv 2020 https://arxiv.org/pdf/2011.07221v3 bb5a0f292ad192b8 data/papers/bb5a0f292ad192b8.pdf data/papers/bb5a0f292ad192b8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning in magnetic resonance prostate segmentation: A review and a new perspective arXiv 2020 https://arxiv.org/pdf/2011.07795v1 14fb2ae92e18852c data/papers/14fb2ae92e18852c.pdf data/papers/14fb2ae92e18852c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment arXiv 2020 https://arxiv.org/pdf/2011.08001v3 a2a2ecd0f27e4111 data/papers/a2a2ecd0f27e4111.pdf data/papers/a2a2ecd0f27e4111.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients arXiv 2020 https://arxiv.org/pdf/2011.08555v1 de08e9a048f7165f data/papers/de08e9a048f7165f.pdf data/papers/de08e9a048f7165f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable Survival Prediction for Colorectal Cancer using Deep Learning arXiv 2020 https://arxiv.org/pdf/2011.08965v1 66c14357c0bfb16a data/papers/66c14357c0bfb16a.pdf data/papers/66c14357c0bfb16a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning models for gastric signet ring cell carcinoma classification in whole slide images arXiv 2020 https://arxiv.org/pdf/2011.09247v1 a394c0b8901d40de data/papers/a394c0b8901d40de.pdf data/papers/a394c0b8901d40de.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Transfer Learning Based Active Learning Framework for Brain Tumor Classification arXiv 2020 https://arxiv.org/pdf/2011.09265v1 0b77fab28a884fd4 data/papers/0b77fab28a884fd4.pdf data/papers/0b77fab28a884fd4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy Images arXiv 2020 https://arxiv.org/pdf/2011.09695v1 1ee714b0b82a5491 data/papers/1ee714b0b82a5491.pdf data/papers/1ee714b0b82a5491.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Imputation techniques on missing values in breast cancer treatment and fertility data arXiv 2020 https://arxiv.org/pdf/2011.09912v1 a405a524785bec04 data/papers/a405a524785bec04.pdf data/papers/a405a524785bec04.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Proposing method to Increase the detection accuracy of stomach cancer based on colour and lint features of tongue using CNN and SVM arXiv 2020 https://arxiv.org/pdf/2011.09962v1 f5a6ccdef2557171 data/papers/f5a6ccdef2557171.pdf data/papers/f5a6ccdef2557171.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modelling fertility potential in survivors of childhood cancer: An introduction to modern statistical and computational methods arXiv 2020 https://arxiv.org/pdf/2011.10020v1 03c6529fdc9e68c2 data/papers/03c6529fdc9e68c2.pdf data/papers/03c6529fdc9e68c2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Discriminative Localized Sparse Representations for Breast Cancer Screening arXiv 2020 https://arxiv.org/pdf/2011.10201v1 e1fa1c11adb7d8db data/papers/e1fa1c11adb7d8db.pdf data/papers/e1fa1c11adb7d8db.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images arXiv 2020 https://arxiv.org/pdf/2011.10702v1 dfbdae49960a8f17 data/papers/dfbdae49960a8f17.pdf data/papers/dfbdae49960a8f17.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using ontology embeddings for structural inductive bias in gene expression data analysis arXiv 2020 https://arxiv.org/pdf/2011.10998v1 fa36c29c846248d1 data/papers/fa36c29c846248d1.pdf data/papers/fa36c29c846248d1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Topological Data Analysis of copy number alterations in cancer arXiv 2020 https://arxiv.org/pdf/2011.11070v2 040378a4e8d173ae data/papers/040378a4e8d173ae.pdf data/papers/040378a4e8d173ae.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data Mining Techniques in Predicting Breast Cancer arXiv 2020 https://arxiv.org/pdf/2011.11088v1 c28ed3ccee606cd1 data/papers/c28ed3ccee606cd1.pdf data/papers/c28ed3ccee606cd1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer image classification based on DenseNet model arXiv 2020 https://arxiv.org/pdf/2011.11186v1 83f898f2d90e84f8 data/papers/83f898f2d90e84f8.pdf data/papers/83f898f2d90e84f8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transfer Learning for Oral Cancer Detection using Microscopic Images arXiv 2020 https://arxiv.org/pdf/2011.11610v2 91df926f23da3f3e data/papers/91df926f23da3f3e.pdf data/papers/91df926f23da3f3e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Curves for Drug Response Prediction in Cancer Cell Lines arXiv 2020 https://arxiv.org/pdf/2011.12466v1 86a81e6c7d38d7dd data/papers/86a81e6c7d38d7dd.pdf data/papers/86a81e6c7d38d7dd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning of Diffuse Optical Tomography based on Time-Domain Radiative Transfer Equation arXiv 2020 https://arxiv.org/pdf/2011.12520v1 a9ebf5a45c266f8d data/papers/a9ebf5a45c266f8d.pdf data/papers/a9ebf5a45c266f8d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quantifying Explainers of Graph Neural Networks in Computational Pathology arXiv 2020 https://arxiv.org/pdf/2011.12646v2 92c630c457c505bd data/papers/92c630c457c505bd.pdf data/papers/92c630c457c505bd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaIN arXiv 2020 https://arxiv.org/pdf/2011.13150v2 52ee031574371341 data/papers/52ee031574371341.pdf data/papers/52ee031574371341.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Outcome Indistinguishability arXiv 2020 https://arxiv.org/pdf/2011.13426v1 b94ce44d6262ed63 data/papers/b94ce44d6262ed63.pdf data/papers/b94ce44d6262ed63.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Differences between human and machine perception in medical diagnosis arXiv 2020 https://arxiv.org/pdf/2011.14036v1 91e769cf8a2acfe5 data/papers/91e769cf8a2acfe5.pdf data/papers/91e769cf8a2acfe5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Prostate Cancer Diagnosis Based on Gleason Grading Using Convolutional Neural Network arXiv 2020 https://arxiv.org/pdf/2011.14301v1 552eb03aaf8f22f1 data/papers/552eb03aaf8f22f1.pdf data/papers/552eb03aaf8f22f1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +One-Pixel Attack Deceives Computer-Assisted Diagnosis of Cancer arXiv 2020 https://arxiv.org/pdf/2012.00517v6 35928819485030e3 data/papers/35928819485030e3.pdf data/papers/35928819485030e3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Overcoming the limitations of patch-based learning to detect cancer in whole slide images arXiv 2020 https://arxiv.org/pdf/2012.00617v1 a620439024f17488 data/papers/a620439024f17488.pdf data/papers/a620439024f17488.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ProsRegNet: A Deep Learning Framework for Registration of MRI and Histopathology Images of the Prostate arXiv 2020 https://arxiv.org/pdf/2012.00991v1 e282937816c13df6 data/papers/e282937816c13df6.pdf data/papers/e282937816c13df6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Interpretability in Medical Imaging Diagnosis using Adversarial Training arXiv 2020 https://arxiv.org/pdf/2012.01166v1 007c5f22bf9ef644 data/papers/007c5f22bf9ef644.pdf data/papers/007c5f22bf9ef644.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values arXiv 2020 https://arxiv.org/pdf/2012.01974v1 9e89b0b2e87017cc data/papers/9e89b0b2e87017cc.pdf data/papers/9e89b0b2e87017cc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using Machine Learning to Automate Mammogram Images Analysis arXiv 2020 https://arxiv.org/pdf/2012.03151v2 9d1fc72e962a2567 data/papers/9d1fc72e962a2567.pdf data/papers/9d1fc72e962a2567.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification arXiv 2020 https://arxiv.org/pdf/2012.03173v2 4ac2f9c04471f702 data/papers/4ac2f9c04471f702.pdf data/papers/4ac2f9c04471f702.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Representaciones del aprendizaje reutilizando los gradientes de la retropropagacion arXiv 2020 https://arxiv.org/pdf/2012.03188v1 b60cedbc544925a2 data/papers/b60cedbc544925a2.pdf data/papers/b60cedbc544925a2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable deep learning regression for breast density estimation on MRI arXiv 2020 https://arxiv.org/pdf/2012.04336v1 d5205115ae1af25f data/papers/d5205115ae1af25f.pdf data/papers/d5205115ae1af25f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data embedding and prediction by sparse tropical matrix factorization arXiv 2020 https://arxiv.org/pdf/2012.05210v1 f39160e8e7f90f15 data/papers/f39160e8e7f90f15.pdf data/papers/f39160e8e7f90f15.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation arXiv 2020 https://arxiv.org/pdf/2012.05316v1 0b0031fcf7c41dcd data/papers/0b0031fcf7c41dcd.pdf data/papers/0b0031fcf7c41dcd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images arXiv 2020 https://arxiv.org/pdf/2012.05447v3 fa6c3fd0c5bdb4da data/papers/fa6c3fd0c5bdb4da.pdf data/papers/fa6c3fd0c5bdb4da.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +On Shapley Credit Allocation for Interpretability arXiv 2020 https://arxiv.org/pdf/2012.05506v1 34affb09fb43015f data/papers/34affb09fb43015f.pdf data/papers/34affb09fb43015f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Performance Comparison of Balanced and Unbalanced Cancer Datasets using Pre-Trained Convolutional Neural Network arXiv 2020 https://arxiv.org/pdf/2012.05585v1 3eea3197018b3e42 data/papers/3eea3197018b3e42.pdf data/papers/3eea3197018b3e42.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks arXiv 2020 https://arxiv.org/pdf/2012.05765v3 d33ee130d2bf1542 data/papers/d33ee130d2bf1542.pdf data/papers/d33ee130d2bf1542.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of Hemolysis Tendency of Peptides using a Reliable Evaluation Method arXiv 2020 https://arxiv.org/pdf/2012.06470v1 f996f94a1854ee71 data/papers/f996f94a1854ee71.pdf data/papers/f996f94a1854ee71.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AMINN: Autoencoder-based Multiple Instance Neural Network Improves Outcome Prediction of Multifocal Liver Metastases arXiv 2020 https://arxiv.org/pdf/2012.06875v2 72f588ff4defb0b7 data/papers/72f588ff4defb0b7.pdf data/papers/72f588ff4defb0b7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Tool for the Accurate and Affordable Early Diagnosis of Pancreatic Cancer via Machine Learning and Bioinformatics arXiv 2020 https://arxiv.org/pdf/2012.06990v1 ae12d054d3f097c4 data/papers/ae12d054d3f097c4.pdf data/papers/ae12d054d3f097c4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accurate Cell Segmentation in Digital Pathology Images via Attention Enforced Networks arXiv 2020 https://arxiv.org/pdf/2012.07237v2 88f40ee542862814 data/papers/88f40ee542862814.pdf data/papers/88f40ee542862814.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks arXiv 2020 https://arxiv.org/pdf/2012.08158v2 79b4a1a4035e07c2 data/papers/79b4a1a4035e07c2.pdf data/papers/79b4a1a4035e07c2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Nonlinear Schrödinger Kernel for hardware acceleration in machine learning inference arXiv 2020 https://arxiv.org/pdf/2012.08615v3 382cc6f66cecc276 data/papers/382cc6f66cecc276.pdf data/papers/382cc6f66cecc276.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A new semi-supervised self-training method for lung cancer prediction arXiv 2020 https://arxiv.org/pdf/2012.09472v1 1be989b7af138cad data/papers/1be989b7af138cad.pdf data/papers/1be989b7af138cad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods arXiv 2020 https://arxiv.org/pdf/2012.09976v1 f02e760cea6b49cb data/papers/f02e760cea6b49cb.pdf data/papers/f02e760cea6b49cb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of Chronic Kidney Disease Using Deep Neural Network arXiv 2020 https://arxiv.org/pdf/2012.12089v1 75d2e4d95818136c data/papers/75d2e4d95818136c.pdf data/papers/75d2e4d95818136c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GANDA: A deep generative adversarial network predicts the spatial distribution of nanoparticles in tumor pixelly arXiv 2020 https://arxiv.org/pdf/2012.12561v2 cfa06050578aa8ad data/papers/cfa06050578aa8ad.pdf data/papers/cfa06050578aa8ad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Cascaded Residual UNET for Fully Automated Segmentation of Prostate and Peripheral Zone in T2-weighted 3D Fast Spin Echo Images arXiv 2020 https://arxiv.org/pdf/2012.13501v1 61f3533ebf5126c9 data/papers/61f3533ebf5126c9.pdf data/papers/61f3533ebf5126c9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comparison of different CNNs for breast tumor classification from ultrasound images arXiv 2020 https://arxiv.org/pdf/2012.14517v1 a313e98b055410a1 data/papers/a313e98b055410a1.pdf data/papers/a313e98b055410a1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Visual Probing and Correction of Object Recognition Models with Interactive user feedback arXiv 2020 https://arxiv.org/pdf/2012.14544v1 9e69971d0b6721b7 data/papers/9e69971d0b6721b7.pdf data/papers/9e69971d0b6721b7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography arXiv 2020 https://arxiv.org/pdf/2012.14690v1 ad648653ad0886c2 data/papers/ad648653ad0886c2.pdf data/papers/ad648653ad0886c2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Elastic Net based Feature Ranking and Selection arXiv 2020 https://arxiv.org/pdf/2012.14982v1 4b55970fad8afac6 data/papers/4b55970fad8afac6.pdf data/papers/4b55970fad8afac6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SkiNet: A Deep Learning Solution for Skin Lesion Diagnosis with Uncertainty Estimation and Explainability arXiv 2020 https://arxiv.org/pdf/2012.15049v1 f87d7c5e5183393e data/papers/f87d7c5e5183393e.pdf data/papers/f87d7c5e5183393e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Sparsity and Block Diagonal Structure in Multi-View Mixture Models arXiv 2020 https://arxiv.org/pdf/2012.15313v1 25665bfea57b853d data/papers/25665bfea57b853d.pdf data/papers/25665bfea57b853d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Measure of Strength of Evidence for Visually Observed Differences between Subpopulations arXiv 2021 https://arxiv.org/pdf/2101.00362v3 3421a48d3f283f36 data/papers/3421a48d3f283f36.pdf data/papers/3421a48d3f283f36.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping arXiv 2021 https://arxiv.org/pdf/2101.01337v1 5c71ad5eb7d02c60 data/papers/5c71ad5eb7d02c60.pdf data/papers/5c71ad5eb7d02c60.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification arXiv 2021 https://arxiv.org/pdf/2101.02353v1 267a856919ab72dc data/papers/267a856919ab72dc.pdf data/papers/267a856919ab72dc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Differentially Private Federated Learning for Cancer Prediction arXiv 2021 https://arxiv.org/pdf/2101.02997v2 4d2b934bf9dab38f data/papers/4d2b934bf9dab38f.pdf data/papers/4d2b934bf9dab38f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction arXiv 2021 https://arxiv.org/pdf/2101.03244v10 f709052a702900d0 data/papers/f709052a702900d0.pdf data/papers/f709052a702900d0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Analysis of skin lesion images with deep learning arXiv 2021 https://arxiv.org/pdf/2101.03814v1 ea75fc79e540b40d data/papers/ea75fc79e540b40d.pdf data/papers/ea75fc79e540b40d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Feasibility Study on Deep Learning Based Individualized 3D Dose Distribution Prediction arXiv 2021 https://arxiv.org/pdf/2101.04854v1 2cc8a65a1c591ef3 data/papers/2cc8a65a1c591ef3.pdf data/papers/2cc8a65a1c591ef3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Feature reduction for machine learning on molecular features: The GeneScore arXiv 2021 https://arxiv.org/pdf/2101.05546v1 dbb5e659feecd507 data/papers/dbb5e659feecd507.pdf data/papers/dbb5e659feecd507.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +$\text{O}^2$PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection arXiv 2021 https://arxiv.org/pdf/2101.05775v1 0ad6ce9284f1293f data/papers/0ad6ce9284f1293f.pdf data/papers/0ad6ce9284f1293f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features arXiv 2021 https://arxiv.org/pdf/2101.05866v1 27df905effa8a0ff data/papers/27df905effa8a0ff.pdf data/papers/27df905effa8a0ff.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks arXiv 2021 https://arxiv.org/pdf/2101.06040v1 53bb8bc35fd6a418 data/papers/53bb8bc35fd6a418.pdf data/papers/53bb8bc35fd6a418.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Task-driven Self-supervised Bi-channel Networks for Diagnosis of Breast Cancers with Mammography arXiv 2021 https://arxiv.org/pdf/2101.06228v2 280439b60cc11fa7 data/papers/280439b60cc11fa7.pdf data/papers/280439b60cc11fa7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bladder segmentation based on deep learning approaches: current limitations and lessons arXiv 2021 https://arxiv.org/pdf/2101.06498v1 80bceec13228cc09 data/papers/80bceec13228cc09.pdf data/papers/80bceec13228cc09.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Feature Fusion of Raman Chemical Imaging and Digital Histopathology using Machine Learning for Prostate Cancer Detection arXiv 2021 https://arxiv.org/pdf/2101.07342v1 5f6abbad1a1d51d1 data/papers/5f6abbad1a1d51d1.pdf data/papers/5f6abbad1a1d51d1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification arXiv 2021 https://arxiv.org/pdf/2101.07429v1 1678b5cfd4b515b4 data/papers/1678b5cfd4b515b4.pdf data/papers/1678b5cfd4b515b4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Magnification Generalization for Histopathology Image Embedding arXiv 2021 https://arxiv.org/pdf/2101.07757v1 f5d201165dd8097e data/papers/f5d201165dd8097e.pdf data/papers/f5d201165dd8097e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fine-Tuning and Training of DenseNet for Histopathology Image Representation Using TCGA Diagnostic Slides arXiv 2021 https://arxiv.org/pdf/2101.07903v1 a8b61420f064a50c data/papers/a8b61420f064a50c.pdf data/papers/a8b61420f064a50c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification arXiv 2021 https://arxiv.org/pdf/2101.09306v4 68cdebe40800fbad data/papers/68cdebe40800fbad.pdf data/papers/68cdebe40800fbad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DenseNet for Breast Tumor Classification in Mammographic Images arXiv 2021 https://arxiv.org/pdf/2101.09637v1 65d0343f4bac41fe data/papers/65d0343f4bac41fe.pdf data/papers/65d0343f4bac41fe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, Featuring Prognostic Stratification Boosting arXiv 2021 https://arxiv.org/pdf/2101.11085v3 0faa94b67ad0c1b9 data/papers/0faa94b67ad0c1b9.pdf data/papers/0faa94b67ad0c1b9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Boost-S: Gradient Boosted Trees for Spatial Data and Its Application to FDG-PET Imaging Data arXiv 2021 https://arxiv.org/pdf/2101.11190v2 fd5c4b47d3792c54 data/papers/fd5c4b47d3792c54.pdf data/papers/fd5c4b47d3792c54.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention arXiv 2021 https://arxiv.org/pdf/2101.11254v1 e51f495a25e6a4d7 data/papers/e51f495a25e6a4d7.pdf data/papers/e51f495a25e6a4d7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synthetic Generation of Three-Dimensional Cancer Cell Models from Histopathological Images arXiv 2021 https://arxiv.org/pdf/2101.11600v2 868b2fde2b2439e0 data/papers/868b2fde2b2439e0.pdf data/papers/868b2fde2b2439e0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Participation in Cancer Screening Programs with Machine Learning arXiv 2021 https://arxiv.org/pdf/2101.11614v1 4327dfe2a4f1df94 data/papers/4327dfe2a4f1df94.pdf data/papers/4327dfe2a4f1df94.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multi-Scale Conditional Deep Model for Tumor Cell Ratio Counting arXiv 2021 https://arxiv.org/pdf/2101.11731v1 cdd79636b5e94d60 data/papers/cdd79636b5e94d60.pdf data/papers/cdd79636b5e94d60.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data arXiv 2021 https://arxiv.org/pdf/2101.11935v1 2e1c394bdb549981 data/papers/2e1c394bdb549981.pdf data/papers/2e1c394bdb549981.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Soliton crystal Kerr microcombs for high-speed, scalable optical neural networks at 10 GigaOPs/s arXiv 2021 https://arxiv.org/pdf/2101.12356v1 709c25962c62182f data/papers/709c25962c62182f.pdf data/papers/709c25962c62182f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmentation of skin lesions and their attributes using Generative Adversarial Networks arXiv 2021 https://arxiv.org/pdf/2102.00169v1 a7a3d0a987a4064a data/papers/a7a3d0a987a4064a.pdf data/papers/a7a3d0a987a4064a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spike and slab Bayesian sparse principal component analysis arXiv 2021 https://arxiv.org/pdf/2102.00305v2 8747ea5ef6bf2e41 data/papers/8747ea5ef6bf2e41.pdf data/papers/8747ea5ef6bf2e41.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Meta ordinal weighting net for improving lung nodule classification arXiv 2021 https://arxiv.org/pdf/2102.00456v1 6daed8e73431bac0 data/papers/6daed8e73431bac0.pdf data/papers/6daed8e73431bac0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmenting Microcalcifications in Mammograms and its Applications arXiv 2021 https://arxiv.org/pdf/2102.00811v1 185cfd01e8bd5388 data/papers/185cfd01e8bd5388.pdf data/papers/185cfd01e8bd5388.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning-based simulation study arXiv 2021 https://arxiv.org/pdf/2102.01006v3 e7721279839d0556 data/papers/e7721279839d0556.pdf data/papers/e7721279839d0556.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +OmiEmbed: a unified multi-task deep learning framework for multi-omics data arXiv 2021 https://arxiv.org/pdf/2102.02669v2 de3e84667b365a82 data/papers/de3e84667b365a82.pdf data/papers/de3e84667b365a82.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning Methods for Histopathological Image Analysis: A Review arXiv 2021 https://arxiv.org/pdf/2102.03889v1 f90591e7a7279364 data/papers/f90591e7a7279364.pdf data/papers/f90591e7a7279364.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning arXiv 2021 https://arxiv.org/pdf/2102.03932v2 0a9a2dc3cd53c9a2 data/papers/0a9a2dc3cd53c9a2.pdf data/papers/0a9a2dc3cd53c9a2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Overhead MNIST: A Benchmark Satellite Dataset arXiv 2021 https://arxiv.org/pdf/2102.04266v1 6812bd92eba9fdf2 data/papers/6812bd92eba9fdf2.pdf data/papers/6812bd92eba9fdf2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dysplasia grading of colorectal polyps through CNN analysis of WSI arXiv 2021 https://arxiv.org/pdf/2102.05498v1 4c203760eece0f7a data/papers/4c203760eece0f7a.pdf data/papers/4c203760eece0f7a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding arXiv 2021 https://arxiv.org/pdf/2102.06515v1 7667c6ad60d1f52c data/papers/7667c6ad60d1f52c.pdf data/papers/7667c6ad60d1f52c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer Gene Profiling through Unsupervised Discovery arXiv 2021 https://arxiv.org/pdf/2102.07713v1 e6a03382e0c45452 data/papers/e6a03382e0c45452.pdf data/papers/e6a03382e0c45452.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume arXiv 2021 https://arxiv.org/pdf/2102.07880v1 4dfc1586f11ecf9b data/papers/4dfc1586f11ecf9b.pdf data/papers/4dfc1586f11ecf9b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data-Driven Logistic Regression Ensembles With Applications in Genomics arXiv 2021 https://arxiv.org/pdf/2102.08591v6 57f55abcadedb185 data/papers/57f55abcadedb185.pdf data/papers/57f55abcadedb185.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation arXiv 2021 https://arxiv.org/pdf/2102.09099v1 145a7fd701b9c857 data/papers/145a7fd701b9c857.pdf data/papers/145a7fd701b9c857.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation arXiv 2021 https://arxiv.org/pdf/2102.10919v1 7961afd3933a94c8 data/papers/7961afd3933a94c8.pdf data/papers/7961afd3933a94c8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical Graph Representations in Digital Pathology arXiv 2021 https://arxiv.org/pdf/2102.11057v2 5993d7d7e2d33ee7 data/papers/5993d7d7e2d33ee7.pdf data/papers/5993d7d7e2d33ee7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neural Pharmacodynamic State Space Modeling arXiv 2021 https://arxiv.org/pdf/2102.11218v3 126ab84018714639 data/papers/126ab84018714639.pdf data/papers/126ab84018714639.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Low-dimensional Manifolds for Scoring of Tissue Microarray Images arXiv 2021 https://arxiv.org/pdf/2102.11396v1 0b6b78780d4cfc6b data/papers/0b6b78780d4cfc6b.pdf data/papers/0b6b78780d4cfc6b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks arXiv 2021 https://arxiv.org/pdf/2102.11519v1 c8dfbb7f435839dc data/papers/c8dfbb7f435839dc.pdf data/papers/c8dfbb7f435839dc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation arXiv 2021 https://arxiv.org/pdf/2102.12056v3 45123d62b0b9be6a data/papers/45123d62b0b9be6a.pdf data/papers/45123d62b0b9be6a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques arXiv 2021 https://arxiv.org/pdf/2102.12191v2 6c3867013b061df1 data/papers/6c3867013b061df1.pdf data/papers/6c3867013b061df1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Probabilistic feature extraction, dose statistic prediction and dose mimicking for automated radiation therapy treatment planning arXiv 2021 https://arxiv.org/pdf/2102.12569v3 55dca8718d1298f4 data/papers/55dca8718d1298f4.pdf data/papers/55dca8718d1298f4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes arXiv 2021 https://arxiv.org/pdf/2102.12894v4 240945012898e448 data/papers/240945012898e448.pdf data/papers/240945012898e448.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation arXiv 2021 https://arxiv.org/pdf/2103.00528v2 fcd7698650d0bde8 data/papers/fcd7698650d0bde8.pdf data/papers/fcd7698650d0bde8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Noncoding RNAs and deep learning neural network discriminate multi-cancer types arXiv 2021 https://arxiv.org/pdf/2103.01179v2 7f8441640dba4fda data/papers/7f8441640dba4fda.pdf data/papers/7f8441640dba4fda.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems arXiv 2021 https://arxiv.org/pdf/2103.03048v1 3a770f73197d0ad4 data/papers/3a770f73197d0ad4.pdf data/papers/3a770f73197d0ad4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs arXiv 2021 https://arxiv.org/pdf/2103.03129v1 e09d10ffcf7b46c7 data/papers/e09d10ffcf7b46c7.pdf data/papers/e09d10ffcf7b46c7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prostate Tissue Grading with Deep Quantum Measurement Ordinal Regression arXiv 2021 https://arxiv.org/pdf/2103.03188v1 77c3cac325249870 data/papers/77c3cac325249870.pdf data/papers/77c3cac325249870.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Use of Transfer Learning and Wavelet Transform for Breast Cancer Detection arXiv 2021 https://arxiv.org/pdf/2103.03602v1 e1c72e4ed7b4dc43 data/papers/e1c72e4ed7b4dc43.pdf data/papers/e1c72e4ed7b4dc43.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Supervised Federated Peer Learning for Skin Lesion Classification arXiv 2021 https://arxiv.org/pdf/2103.03703v5 179474c2cdf3141d data/papers/179474c2cdf3141d.pdf data/papers/179474c2cdf3141d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RNA Alternative Splicing Prediction with Discrete Compositional Energy Network arXiv 2021 https://arxiv.org/pdf/2103.04246v1 2eab365b0ca75f5a data/papers/2eab365b0ca75f5a.pdf data/papers/2eab365b0ca75f5a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Greedy Approximation Algorithms for Active Sequential Hypothesis Testing arXiv 2021 https://arxiv.org/pdf/2103.04250v3 fca3376bdcfa4dba data/papers/fca3376bdcfa4dba.pdf data/papers/fca3376bdcfa4dba.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds arXiv 2021 https://arxiv.org/pdf/2103.04970v1 9290121fc7646ec1 data/papers/9290121fc7646ec1.pdf data/papers/9290121fc7646ec1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Based Decision Support for Medicine -- A Case Study on Skin Cancer Diagnosis arXiv 2021 https://arxiv.org/pdf/2103.05112v1 f663024e3ea55597 data/papers/f663024e3ea55597.pdf data/papers/f663024e3ea55597.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images arXiv 2021 https://arxiv.org/pdf/2103.05385v2 ec256af2548b2947 data/papers/ec256af2548b2947.pdf data/papers/ec256af2548b2947.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal fusion using sparse CCA for breast cancer survival prediction arXiv 2021 https://arxiv.org/pdf/2103.05432v1 7a39c39fec0d8600 data/papers/7a39c39fec0d8600.pdf data/papers/7a39c39fec0d8600.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multitask 3D CBCT-to-CT Translation and Organs-at-Risk Segmentation Using Physics-Based Data Augmentation arXiv 2021 https://arxiv.org/pdf/2103.05690v4 0ec14b854ec5b37e data/papers/0ec14b854ec5b37e.pdf data/papers/0ec14b854ec5b37e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NegDL: Privacy-Preserving Deep Learning Based on Negative Database arXiv 2021 https://arxiv.org/pdf/2103.05854v5 94a2497259f1df86 data/papers/94a2497259f1df86.pdf data/papers/94a2497259f1df86.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Principal component-based image segmentation: a new approach to outline in vitro cell colonies arXiv 2021 https://arxiv.org/pdf/2103.06022v1 70c2e9e4c15eb0e0 data/papers/70c2e9e4c15eb0e0.pdf data/papers/70c2e9e4c15eb0e0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing arXiv 2021 https://arxiv.org/pdf/2103.06179v1 50bbee0c201f3f97 data/papers/50bbee0c201f3f97.pdf data/papers/50bbee0c201f3f97.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Duplex Contextual Relation Network for Polyp Segmentation arXiv 2021 https://arxiv.org/pdf/2103.06725v3 a3df0f47cb9997d3 data/papers/a3df0f47cb9997d3.pdf data/papers/a3df0f47cb9997d3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma arXiv 2021 https://arxiv.org/pdf/2103.07423v1 32c54d6e8f3f0061 data/papers/32c54d6e8f3f0061.pdf data/papers/32c54d6e8f3f0061.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Early Prediction and Diagnosis of Retinoblastoma Using Deep Learning Techniques arXiv 2021 https://arxiv.org/pdf/2103.07622v1 d9c1400e55070bc6 data/papers/d9c1400e55070bc6.pdf data/papers/d9c1400e55070bc6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Neural Network Based Ensemble learning Algorithms for the healthcare system (diagnosis of chronic diseases) arXiv 2021 https://arxiv.org/pdf/2103.08182v1 ac5cb737ee31109a data/papers/ac5cb737ee31109a.pdf data/papers/ac5cb737ee31109a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Colorectal Cancer Segmentation using Atrous Convolution and Residual Enhanced UNet arXiv 2021 https://arxiv.org/pdf/2103.09289v1 61cccb3647a24a91 data/papers/61cccb3647a24a91.pdf data/papers/61cccb3647a24a91.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lighting Enhancement Aids Reconstruction of Colonoscopic Surfaces arXiv 2021 https://arxiv.org/pdf/2103.10310v1 151fcf4ca77033d1 data/papers/151fcf4ca77033d1.pdf data/papers/151fcf4ca77033d1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets arXiv 2021 https://arxiv.org/pdf/2103.12068v4 2b31de87952dec4d data/papers/2b31de87952dec4d.pdf data/papers/2b31de87952dec4d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of lung and colon cancer through analysis of histopathological images by utilizing Pre-trained CNN models with visualization of class activation and saliency maps arXiv 2021 https://arxiv.org/pdf/2103.12155v1 d8c7950df5ec31f8 data/papers/d8c7950df5ec31f8.pdf data/papers/d8c7950df5ec31f8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distributed Learning for Melanoma Classification using Personal Health Train arXiv 2021 https://arxiv.org/pdf/2103.13226v1 779b3eb124ccc9b6 data/papers/779b3eb124ccc9b6.pdf data/papers/779b3eb124ccc9b6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans arXiv 2021 https://arxiv.org/pdf/2103.14537v1 0603020394275245 data/papers/0603020394275245.pdf data/papers/0603020394275245.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data arXiv 2021 https://arxiv.org/pdf/2103.14955v1 14904fa88d913bf9 data/papers/14904fa88d913bf9.pdf data/papers/14904fa88d913bf9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Polyp Segmentation in Colonoscopy Images using U-Net-MobileNetV2 arXiv 2021 https://arxiv.org/pdf/2103.15715v1 64f8d29e0a8a9a8b data/papers/64f8d29e0a8a9a8b.pdf data/papers/64f8d29e0a8a9a8b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging a Joint of Phenotypic and Genetic Features on Cancer Patient Subgrouping arXiv 2021 https://arxiv.org/pdf/2103.16316v1 5b5cfc37437a669c data/papers/5b5cfc37437a669c.pdf data/papers/5b5cfc37437a669c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks arXiv 2021 https://arxiv.org/pdf/2103.16328v2 20135c721eaaf937 data/papers/20135c721eaaf937.pdf data/papers/20135c721eaaf937.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quantifying the Scanner-Induced Domain Gap in Mitosis Detection arXiv 2021 https://arxiv.org/pdf/2103.16515v1 2ecbdb5eca9b283c data/papers/2ecbdb5eca9b283c.pdf data/papers/2ecbdb5eca9b283c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spectral decoupling allows training transferable neural networks in medical imaging arXiv 2021 https://arxiv.org/pdf/2103.17171v4 f426a034aef0d6d7 data/papers/f426a034aef0d6d7.pdf data/papers/f426a034aef0d6d7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis arXiv 2021 https://arxiv.org/pdf/2104.00669v1 5da4ceca3b1861bd data/papers/5da4ceca3b1861bd.pdf data/papers/5da4ceca3b1861bd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival Prediction arXiv 2021 https://arxiv.org/pdf/2104.01149v2 85358975df1b16c9 data/papers/85358975df1b16c9.pdf data/papers/85358975df1b16c9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images arXiv 2021 https://arxiv.org/pdf/2104.01771v1 ad295f1918c1b18e data/papers/ad295f1918c1b18e.pdf data/papers/ad295f1918c1b18e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images arXiv 2021 https://arxiv.org/pdf/2104.01896v1 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Dual Alignment for Cervical Cancer Cell Detection arXiv 2021 https://arxiv.org/pdf/2104.03265v2 b89259c0cf1a7115 data/papers/b89259c0cf1a7115.pdf data/papers/b89259c0cf1a7115.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +INODE: Building an End-to-End Data Exploration System in Practice [Extended Vision] arXiv 2021 https://arxiv.org/pdf/2104.04194v1 29c30d316ed600fd data/papers/29c30d316ed600fd.pdf data/papers/29c30d316ed600fd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation arXiv 2021 https://arxiv.org/pdf/2104.04832v1 20658b9d43a16258 data/papers/20658b9d43a16258.pdf data/papers/20658b9d43a16258.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration arXiv 2021 https://arxiv.org/pdf/2104.07056v1 88b4efe7c7593fe5 data/papers/88b4efe7c7593fe5.pdf data/papers/88b4efe7c7593fe5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +mlf-core: a framework for deterministic machine learning arXiv 2021 https://arxiv.org/pdf/2104.07651v2 d66f0c69f0321f14 data/papers/d66f0c69f0321f14.pdf data/papers/d66f0c69f0321f14.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A cross-study analysis of drug response prediction in cancer cell lines arXiv 2021 https://arxiv.org/pdf/2104.08961v2 2efab62f008f466d data/papers/2efab62f008f466d.pdf data/papers/2efab62f008f466d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks arXiv 2021 https://arxiv.org/pdf/2104.09310v1 f9eafcc9d87f46ad data/papers/f9eafcc9d87f46ad.pdf data/papers/f9eafcc9d87f46ad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Free-form tumor synthesis in computed tomography images via richer generative adversarial network arXiv 2021 https://arxiv.org/pdf/2104.09701v1 b513ff40903d62ba data/papers/b513ff40903d62ba.pdf data/papers/b513ff40903d62ba.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI arXiv 2021 https://arxiv.org/pdf/2104.09878v1 ce46973fb5edb238 data/papers/ce46973fb5edb238.pdf data/papers/ce46973fb5edb238.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Meta-learning for skin cancer detection using Deep Learning Techniques arXiv 2021 https://arxiv.org/pdf/2104.10775v1 d3a01783bc948205 data/papers/d3a01783bc948205.pdf data/papers/d3a01783bc948205.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations arXiv 2021 https://arxiv.org/pdf/2104.10824v2 7a8d49b1cce9b00f data/papers/7a8d49b1cce9b00f.pdf data/papers/7a8d49b1cce9b00f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy arXiv 2021 https://arxiv.org/pdf/2104.11138v1 72cee5dcf14add8f data/papers/72cee5dcf14add8f.pdf data/papers/72cee5dcf14add8f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction arXiv 2021 https://arxiv.org/pdf/2104.11436v1 22c222e9427d48a4 data/papers/22c222e9427d48a4.pdf data/papers/22c222e9427d48a4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Research on the Detection Method of Breast Cancer Deep Convolutional Neural Network Based on Computer Aid arXiv 2021 https://arxiv.org/pdf/2104.11551v1 c062eaa4dc424bf6 data/papers/c062eaa4dc424bf6.pdf data/papers/c062eaa4dc424bf6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer arXiv 2021 https://arxiv.org/pdf/2104.12021v1 9882c13ed19f3199 data/papers/9882c13ed19f3199.pdf data/papers/9882c13ed19f3199.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images arXiv 2021 https://arxiv.org/pdf/2104.12044v1 4c43618ded7585ca data/papers/4c43618ded7585ca.pdf data/papers/4c43618ded7585ca.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images arXiv 2021 https://arxiv.org/pdf/2104.12478v1 be09a2d8e74a0a15 data/papers/be09a2d8e74a0a15.pdf data/papers/be09a2d8e74a0a15.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma arXiv 2021 https://arxiv.org/pdf/2104.12862v1 826e25a6299231c4 data/papers/826e25a6299231c4.pdf data/papers/826e25a6299231c4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-scale Deep Learning Architecture for Nucleus Detection in Renal Cell Carcinoma Microscopy Image arXiv 2021 https://arxiv.org/pdf/2104.13557v1 1080367ca4860455 data/papers/1080367ca4860455.pdf data/papers/1080367ca4860455.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Oscillations of the number of immune system cells in a space-velocity thermostatted kinetic theory model of tumor growth arXiv 2021 https://arxiv.org/pdf/2104.13694v1 87c6cf78bd94b26d data/papers/87c6cf78bd94b26d.pdf data/papers/87c6cf78bd94b26d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information arXiv 2021 https://arxiv.org/pdf/2104.14353v1 1ee5b3f7e13abe2c data/papers/1ee5b3f7e13abe2c.pdf data/papers/1ee5b3f7e13abe2c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small-Cell Lung Cancer arXiv 2021 https://arxiv.org/pdf/2104.14420v1 8794bd3f5d2e045a data/papers/8794bd3f5d2e045a.pdf data/papers/8794bd3f5d2e045a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics arXiv 2021 https://arxiv.org/pdf/2104.14655v2 03ca9a908a608e02 data/papers/03ca9a908a608e02.pdf data/papers/03ca9a908a608e02.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DRIVE: Machine Learning to Identify Drivers of Cancer with High-Dimensional Genomic Data & Imputed Labels arXiv 2021 https://arxiv.org/pdf/2105.00469v1 820bb7944f79b0df data/papers/820bb7944f79b0df.pdf data/papers/820bb7944f79b0df.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EBIC.JL -- an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia arXiv 2021 https://arxiv.org/pdf/2105.01196v1 dc5b2e48ff30ade4 data/papers/dc5b2e48ff30ade4.pdf data/papers/dc5b2e48ff30ade4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ovarian Cancer Detection based on Dimensionality Reduction Techniques and Genetic Algorithm arXiv 2021 https://arxiv.org/pdf/2105.01748v1 70547774a2c49ff2 data/papers/70547774a2c49ff2.pdf data/papers/70547774a2c49ff2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning-based tumor segmentation on digital images of histopathology slides for microdosimetry applications arXiv 2021 https://arxiv.org/pdf/2105.01824v1 77b63ef68c78fc93 data/papers/77b63ef68c78fc93.pdf data/papers/77b63ef68c78fc93.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Saliency-Guided Deep Learning Network for Automatic Tumor Bed Volume Delineation in Post-operative Breast Irradiation arXiv 2021 https://arxiv.org/pdf/2105.02771v2 bb491fb386306238 data/papers/bb491fb386306238.pdf data/papers/bb491fb386306238.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Soft-Attention Improves Skin Cancer Classification Performance arXiv 2021 https://arxiv.org/pdf/2105.03358v3 97aec643db1a2023 data/papers/97aec643db1a2023.pdf data/papers/97aec643db1a2023.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Acute Lymphoblastic Leukemia Detection from Microscopic Images Using Weighted Ensemble of Convolutional Neural Networks arXiv 2021 https://arxiv.org/pdf/2105.03995v1 3e075bf4ff113e0e data/papers/3e075bf4ff113e0e.pdf data/papers/3e075bf4ff113e0e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly supervised pan-cancer segmentation tool arXiv 2021 https://arxiv.org/pdf/2105.04269v1 a674dfc92193fd00 data/papers/a674dfc92193fd00.pdf data/papers/a674dfc92193fd00.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer arXiv 2021 https://arxiv.org/pdf/2105.06049v1 379493733ba8a5c9 data/papers/379493733ba8a5c9.pdf data/papers/379493733ba8a5c9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms arXiv 2021 https://arxiv.org/pdf/2105.06822v1 56949c88dfc9867e data/papers/56949c88dfc9867e.pdf data/papers/56949c88dfc9867e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare arXiv 2021 https://arxiv.org/pdf/2105.07082v1 3a36c48e638fdec0 data/papers/3a36c48e638fdec0.pdf data/papers/3a36c48e638fdec0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GCN-MIF: Graph Convolutional Network with Multi-Information Fusion for Low-dose CT Denoising arXiv 2021 https://arxiv.org/pdf/2105.07146v2 2b40ad0b2615ffd8 data/papers/2b40ad0b2615ffd8.pdf data/papers/2b40ad0b2615ffd8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Survival prediction of head and neck squamous cell carcinoma using machine learning models arXiv 2021 https://arxiv.org/pdf/2105.07390v1 01c4828cb709a3bd data/papers/01c4828cb709a3bd.pdf data/papers/01c4828cb709a3bd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: from convolutional neural networks to visual transformers arXiv 2021 https://arxiv.org/pdf/2105.07402v4 ad03277c5f8a7f58 data/papers/ad03277c5f8a7f58.pdf data/papers/ad03277c5f8a7f58.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy arXiv 2021 https://arxiv.org/pdf/2105.07467v2 d9b6d6e86e08e436 data/papers/d9b6d6e86e08e436.pdf data/papers/d9b6d6e86e08e436.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Capsule GAN for Prostate MRI Super-Resolution arXiv 2021 https://arxiv.org/pdf/2105.07495v2 37848fe0b46be629 data/papers/37848fe0b46be629.pdf data/papers/37848fe0b46be629.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-Cluster Weighted Forests arXiv 2021 https://arxiv.org/pdf/2105.07610v4 93baba88aa8ced4e data/papers/93baba88aa8ced4e.pdf data/papers/93baba88aa8ced4e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Integrated Deep Learning and Dynamic Programming Method for Predicting Tumor Suppressor Genes, Oncogenes, and Fusion from PDB Structures arXiv 2021 https://arxiv.org/pdf/2105.08100v1 5d43d5681ee96b85 data/papers/5d43d5681ee96b85.pdf data/papers/5d43d5681ee96b85.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AI-Decision Support System Interface Using Cancer Related Data for Lung Cancer Prognosis arXiv 2021 https://arxiv.org/pdf/2105.09471v1 7ff4a0087483cb2a data/papers/7ff4a0087483cb2a.pdf data/papers/7ff4a0087483cb2a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems arXiv 2021 https://arxiv.org/pdf/2105.09974v1 4da001659484fd06 data/papers/4da001659484fd06.pdf data/papers/4da001659484fd06.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection arXiv 2021 https://arxiv.org/pdf/2105.10160v1 3fef2ece23b1e7ee data/papers/3fef2ece23b1e7ee.pdf data/papers/3fef2ece23b1e7ee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Triplet Autoencoder for Histopathological Colon Cancer Nuclei Retrieval arXiv 2021 https://arxiv.org/pdf/2105.10262v2 97c066687c0163ff data/papers/97c066687c0163ff.pdf data/papers/97c066687c0163ff.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Photonic single perceptron at Giga-OP/s speeds with Kerr microcombs for scalable optical neural networks arXiv 2021 https://arxiv.org/pdf/2105.10407v1 27239c9e56ca31c1 data/papers/27239c9e56ca31c1.pdf data/papers/27239c9e56ca31c1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-learning for weakly supervised Gleason grading of local patterns arXiv 2021 https://arxiv.org/pdf/2105.10420v1 7a53232cf2686199 data/papers/7a53232cf2686199.pdf data/papers/7a53232cf2686199.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images arXiv 2021 https://arxiv.org/pdf/2105.10445v1 f6c3507715bbccb7 data/papers/f6c3507715bbccb7.pdf data/papers/f6c3507715bbccb7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Going Deeper through the Gleason Scoring Scale: An Automatic end-to-end System for Histology Prostate Grading and Cribriform Pattern Detection arXiv 2021 https://arxiv.org/pdf/2105.10490v1 22b334140cffa3ba data/papers/22b334140cffa3ba.pdf data/papers/22b334140cffa3ba.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting invasive ductal carcinoma using a Reinforcement Sample Learning Strategy using Deep Learning arXiv 2021 https://arxiv.org/pdf/2105.12564v2 7dc1046882d3aaf3 data/papers/7dc1046882d3aaf3.pdf data/papers/7dc1046882d3aaf3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data arXiv 2021 https://arxiv.org/pdf/2105.12807v2 2562eaffc39b0f79 data/papers/2562eaffc39b0f79.pdf data/papers/2562eaffc39b0f79.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional generator and multi-sourcecorrelation guided brain tumor segmentation with missing MR modalities arXiv 2021 https://arxiv.org/pdf/2105.13013v1 cf75eef7aaecbf29 data/papers/cf75eef7aaecbf29.pdf data/papers/cf75eef7aaecbf29.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images arXiv 2021 https://arxiv.org/pdf/2105.14338v1 67f7cc787a03bb35 data/papers/67f7cc787a03bb35.pdf data/papers/67f7cc787a03bb35.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detecting Fetal Alcohol Spectrum Disorder in children using Artificial Neural Network arXiv 2021 https://arxiv.org/pdf/2105.15074v1 1c1033974243126f data/papers/1c1033974243126f.pdf data/papers/1c1033974243126f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Interpretable Attention Networks for Cervical Cancer Analysis arXiv 2021 https://arxiv.org/pdf/2106.00557v1 5d06927089d07e12 data/papers/5d06927089d07e12.pdf data/papers/5d06927089d07e12.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comprehensive Validation of Automated Whole Body Skeletal Muscle, Adipose Tissue, and Bone Segmentation from 3D CT images for Body Composition Analysis: Towards Extended Body Composition arXiv 2021 https://arxiv.org/pdf/2106.00652v3 15b0af0733238e4d data/papers/15b0af0733238e4d.pdf data/papers/15b0af0733238e4d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prostate cancer histopathology with label-free multispectral deep UV microscopy quantifies phenotypes of tumor grade and aggressiveness arXiv 2021 https://arxiv.org/pdf/2106.00682v1 afe1da3e4a356c82 data/papers/afe1da3e4a356c82.pdf data/papers/afe1da3e4a356c82.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification arXiv 2021 https://arxiv.org/pdf/2106.00908v2 df7d7c63e3f994a2 data/papers/df7d7c63e3f994a2.pdf data/papers/df7d7c63e3f994a2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of the Position of External Markers Using a Recurrent Neural Network Trained With Unbiased Online Recurrent Optimization for Safe Lung Cancer Radiotherapy arXiv 2021 https://arxiv.org/pdf/2106.01100v6 4a77557b8bd93d99 data/papers/4a77557b8bd93d99.pdf data/papers/4a77557b8bd93d99.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lymph Node Graph Neural Networks for Cancer Metastasis Prediction arXiv 2021 https://arxiv.org/pdf/2106.01711v1 6ef713ad20cd4467 data/papers/6ef713ad20cd4467.pdf data/papers/6ef713ad20cd4467.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Based Analysis of Prostate Cancer from MP-MRI arXiv 2021 https://arxiv.org/pdf/2106.01835v1 1020bfbbb1b7ad4d data/papers/1020bfbbb1b7ad4d.pdf data/papers/1020bfbbb1b7ad4d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Embedded Deep Regularized Block HSIC Thermomics for Early Diagnosis of Breast Cancer arXiv 2021 https://arxiv.org/pdf/2106.02106v1 9104ec64ef7af933 data/papers/9104ec64ef7af933.pdf data/papers/9104ec64ef7af933.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Specular reflections removal in colposcopic images based on neural networks: Supervised training with no ground truth previous knowledge arXiv 2021 https://arxiv.org/pdf/2106.02221v2 bdb6ec6a335dbfd9 data/papers/bdb6ec6a335dbfd9.pdf data/papers/bdb6ec6a335dbfd9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR images arXiv 2021 https://arxiv.org/pdf/2106.02385v1 3163af0cd94403d1 data/papers/3163af0cd94403d1.pdf data/papers/3163af0cd94403d1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GasHisSDB: A New Gastric Histopathology Image Dataset for Computer Aided Diagnosis of Gastric Cancer arXiv 2021 https://arxiv.org/pdf/2106.02473v6 822740143ab65583 data/papers/822740143ab65583.pdf data/papers/822740143ab65583.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation arXiv 2021 https://arxiv.org/pdf/2106.04130v1 eb153f342d480ed5 data/papers/eb153f342d480ed5.pdf data/papers/eb153f342d480ed5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A multi-centre polyp detection and segmentation dataset for generalisability assessment arXiv 2021 https://arxiv.org/pdf/2106.04463v3 66d323a396c0ddca data/papers/66d323a396c0ddca.pdf data/papers/66d323a396c0ddca.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection arXiv 2021 https://arxiv.org/pdf/2106.04919v1 3cc0168f502fc5bf data/papers/3cc0168f502fc5bf.pdf data/papers/3cc0168f502fc5bf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification arXiv 2021 https://arxiv.org/pdf/2106.05841v1 0c0f0c693bd3df14 data/papers/0c0f0c693bd3df14.pdf data/papers/0c0f0c693bd3df14.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis arXiv 2021 https://arxiv.org/pdf/2106.06744v1 1a0cbcba2857a084 data/papers/1a0cbcba2857a084.pdf data/papers/1a0cbcba2857a084.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Real-time stain-free classification of cancer cells and blood cells using interferometric phase microscopy and machine learning arXiv 2021 https://arxiv.org/pdf/2106.06771v1 0703db4cf91ae562 data/papers/0703db4cf91ae562.pdf data/papers/0703db4cf91ae562.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ultrasound Classification of Breast Masses Using a Comprehensive Nakagami Imaging and Machine Learning Framework arXiv 2021 https://arxiv.org/pdf/2106.07048v2 bd78e4f5571399f2 data/papers/bd78e4f5571399f2.pdf data/papers/bd78e4f5571399f2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis arXiv 2021 https://arxiv.org/pdf/2106.07049v2 5449c5b44c29ef6a data/papers/5449c5b44c29ef6a.pdf data/papers/5449c5b44c29ef6a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Clinically Inspired Approach for Melanoma classification arXiv 2021 https://arxiv.org/pdf/2106.08021v1 b7a7e215d3ac7c95 data/papers/b7a7e215d3ac7c95.pdf data/papers/b7a7e215d3ac7c95.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AI-Enabled Ultra-Low-Dose CT Reconstruction arXiv 2021 https://arxiv.org/pdf/2106.09834v1 615e38708f91db28 data/papers/615e38708f91db28.pdf data/papers/615e38708f91db28.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation arXiv 2021 https://arxiv.org/pdf/2106.11284v1 7e09f14e0b30540b data/papers/7e09f14e0b30540b.pdf data/papers/7e09f14e0b30540b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Registration of Prostate MRI and Histopathology Images arXiv 2021 https://arxiv.org/pdf/2106.12526v1 a9c40b65bb97faad data/papers/a9c40b65bb97faad.pdf data/papers/a9c40b65bb97faad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of Hereditary Cancers Using Neural Networks arXiv 2021 https://arxiv.org/pdf/2106.13682v1 1f6981ee629eed54 data/papers/1f6981ee629eed54.pdf data/papers/1f6981ee629eed54.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using deep learning to detect patients at risk for prostate cancer despite benign biopsies arXiv 2021 https://arxiv.org/pdf/2106.14256v3 331742e544f6cb1c data/papers/331742e544f6cb1c.pdf data/papers/331742e544f6cb1c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Use of Machine Learning Technique to maximize the signal over background for $H \rightarrow ττ$ arXiv 2021 https://arxiv.org/pdf/2106.14257v2 1ab38e87d004fa53 data/papers/1ab38e87d004fa53.pdf data/papers/1ab38e87d004fa53.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weighted multi-level deep learning analysis and framework for processing breast cancer WSIs arXiv 2021 https://arxiv.org/pdf/2106.14708v1 ddafe2e615a6b868 data/papers/ddafe2e615a6b868.pdf data/papers/ddafe2e615a6b868.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fast Bayesian Variable Selection in Binomial and Negative Binomial Regression arXiv 2021 https://arxiv.org/pdf/2106.14981v2 d278ca592248b012 data/papers/d278ca592248b012.pdf data/papers/d278ca592248b012.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification arXiv 2021 https://arxiv.org/pdf/2106.15299v2 fcc1b3a772cd41c2 data/papers/fcc1b3a772cd41c2.pdf data/papers/fcc1b3a772cd41c2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations arXiv 2021 https://arxiv.org/pdf/2106.15918v1 8b7bb570cf5ab1bd data/papers/8b7bb570cf5ab1bd.pdf data/papers/8b7bb570cf5ab1bd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings arXiv 2021 https://arxiv.org/pdf/2107.01063v2 2f765f1678246814 data/papers/2f765f1678246814.pdf data/papers/2f765f1678246814.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uso de GSO cooperativos com decaimentos de pesos para otimizacao de redes neurais arXiv 2021 https://arxiv.org/pdf/2107.02080v1 3bfabb15e46eb89a data/papers/3bfabb15e46eb89a.pdf data/papers/3bfabb15e46eb89a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations arXiv 2021 https://arxiv.org/pdf/2107.02467v1 01026588a6334d54 data/papers/01026588a6334d54.pdf data/papers/01026588a6334d54.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generalizing Nucleus Recognition Model in Multi-source Images via Pruning arXiv 2021 https://arxiv.org/pdf/2107.02500v1 e528879bd7986d43 data/papers/e528879bd7986d43.pdf data/papers/e528879bd7986d43.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Memory-aware curriculum federated learning for breast cancer classification arXiv 2021 https://arxiv.org/pdf/2107.02504v2 a1fd0cb00149ec07 data/papers/a1fd0cb00149ec07.pdf data/papers/a1fd0cb00149ec07.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hoechst Is All You Need: Lymphocyte Classification with Deep Learning arXiv 2021 https://arxiv.org/pdf/2107.04388v2 6a54de27673fd7cc data/papers/6a54de27673fd7cc.pdf data/papers/6a54de27673fd7cc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modality specific U-Net variants for biomedical image segmentation: A survey arXiv 2021 https://arxiv.org/pdf/2107.04537v4 51fae5856415e481 data/papers/51fae5856415e481.pdf data/papers/51fae5856415e481.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading arXiv 2021 https://arxiv.org/pdf/2107.05037v1 e6941227ca25c9ab data/papers/e6941227ca25c9ab.pdf data/papers/e6941227ca25c9ab.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Effect of Input Size on the Classification of Lung Nodules Using Convolutional Neural Networks arXiv 2021 https://arxiv.org/pdf/2107.05085v1 95f1e47716a00d46 data/papers/95f1e47716a00d46.pdf data/papers/95f1e47716a00d46.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Training of deep cross-modality conversion models with a small dataset, and their application in megavoltage CT to kilovoltage CT conversion arXiv 2021 https://arxiv.org/pdf/2107.05238v2 b6b5066602fa427d data/papers/b6b5066602fa427d.pdf data/papers/b6b5066602fa427d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learned super resolution ultrasound for improved breast lesion characterization arXiv 2021 https://arxiv.org/pdf/2107.05270v1 59f86b60ea5d8226 data/papers/59f86b60ea5d8226.pdf data/papers/59f86b60ea5d8226.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EndoUDA: A modality independent segmentation approach for endoscopy imaging arXiv 2021 https://arxiv.org/pdf/2107.05342v1 466f39033701140f data/papers/466f39033701140f.pdf data/papers/466f39033701140f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unpaired cross-modality educed distillation (CMEDL) for medical image segmentation arXiv 2021 https://arxiv.org/pdf/2107.07985v2 774143b2287897fc data/papers/774143b2287897fc.pdf data/papers/774143b2287897fc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Confidence Aware Neural Networks for Skin Cancer Detection arXiv 2021 https://arxiv.org/pdf/2107.09118v2 697d1c1bb6c63d57 data/papers/697d1c1bb6c63d57.pdf data/papers/697d1c1bb6c63d57.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging arXiv 2021 https://arxiv.org/pdf/2107.09543v2 cbb3e2bf72b786bd data/papers/cbb3e2bf72b786bd.pdf data/papers/cbb3e2bf72b786bd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation arXiv 2021 https://arxiv.org/pdf/2107.09842v1 2c29f2b21c43413b data/papers/2c29f2b21c43413b.pdf data/papers/2c29f2b21c43413b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI arXiv 2021 https://arxiv.org/pdf/2107.10806v1 0d6fc2fbb2c55265 data/papers/0d6fc2fbb2c55265.pdf data/papers/0d6fc2fbb2c55265.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Inference for High Dimensional Censored Quantile Regression arXiv 2021 https://arxiv.org/pdf/2107.10959v1 5b411985dfb5678a data/papers/5b411985dfb5678a.pdf data/papers/5b411985dfb5678a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation arXiv 2021 https://arxiv.org/pdf/2107.12435v1 d58906d2ce26b5af data/papers/d58906d2ce26b5af.pdf data/papers/d58906d2ce26b5af.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision arXiv 2021 https://arxiv.org/pdf/2107.13465v1 fce34a881e02330d data/papers/fce34a881e02330d.pdf data/papers/fce34a881e02330d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fast and Scalable Image Search For Histology arXiv 2021 https://arxiv.org/pdf/2107.13587v1 17577e4637a8531b data/papers/17577e4637a8531b.pdf data/papers/17577e4637a8531b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Hybrid Ensemble Feature Selection Design for Candidate Biomarkers Discovery from Transcriptome Profiles arXiv 2021 https://arxiv.org/pdf/2108.00290v1 69978465c904f8c6 data/papers/69978465c904f8c6.pdf data/papers/69978465c904f8c6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning arXiv 2021 https://arxiv.org/pdf/2108.02278v1 a2837a0bad62ca40 data/papers/a2837a0bad62ca40.pdf data/papers/a2837a0bad62ca40.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging arXiv 2021 https://arxiv.org/pdf/2108.02508v4 3971ef97c4d98f3e data/papers/3971ef97c4d98f3e.pdf data/papers/3971ef97c4d98f3e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Computer-Aided Diagnosis System for Breast Pathology: A Deep Learning Approach with Model Interpretability from Pathological Perspective arXiv 2021 https://arxiv.org/pdf/2108.02656v1 7ef3e9996b69ead6 data/papers/7ef3e9996b69ead6.pdf data/papers/7ef3e9996b69ead6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Redesigning Fully Convolutional DenseUNets for Large Histopathology Images arXiv 2021 https://arxiv.org/pdf/2108.02676v1 06dcb656ff6f3edd data/papers/06dcb656ff6f3edd.pdf data/papers/06dcb656ff6f3edd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy arXiv 2021 https://arxiv.org/pdf/2108.02817v1 ceab85656ee4d232 data/papers/ceab85656ee4d232.pdf data/papers/ceab85656ee4d232.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Triplet Contrastive Learning for Brain Tumor Classification arXiv 2021 https://arxiv.org/pdf/2108.03611v1 cd67bcc3ba307b72 data/papers/cd67bcc3ba307b72.pdf data/papers/cd67bcc3ba307b72.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels arXiv 2021 https://arxiv.org/pdf/2108.04114v1 e9e2561717448ae9 data/papers/e9e2561717448ae9.pdf data/papers/e9e2561717448ae9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images arXiv 2021 https://arxiv.org/pdf/2108.04345v1 500f81dbd3cfbe4b data/papers/500f81dbd3cfbe4b.pdf data/papers/500f81dbd3cfbe4b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptable image quality assessment using meta-reinforcement learning of task amenability arXiv 2021 https://arxiv.org/pdf/2108.04359v1 925ea83457791875 data/papers/925ea83457791875.pdf data/papers/925ea83457791875.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models arXiv 2021 https://arxiv.org/pdf/2108.04949v1 38def62136a7fe67 data/papers/38def62136a7fe67.pdf data/papers/38def62136a7fe67.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Molecular Phenotypes with Single Cell RNA Sequencing Data: an Assessment of Unsupervised Machine Learning Models arXiv 2021 https://arxiv.org/pdf/2108.05039v1 f16458f26f4963cb data/papers/f16458f26f4963cb.pdf data/papers/f16458f26f4963cb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cervical Optical Coherence Tomography Image Classification Based on Contrastive Self-Supervised Texture Learning arXiv 2021 https://arxiv.org/pdf/2108.05081v3 ae2f8b94ed3c2674 data/papers/ae2f8b94ed3c2674.pdf data/papers/ae2f8b94ed3c2674.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling arXiv 2021 https://arxiv.org/pdf/2108.06554v1 242cabbf2e18d05f data/papers/242cabbf2e18d05f.pdf data/papers/242cabbf2e18d05f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +OncoPetNet: A Deep Learning based AI system for mitotic figure counting on H&E stained whole slide digital images in a large veterinary diagnostic lab setting arXiv 2021 https://arxiv.org/pdf/2108.07856v1 76002ede480eee75 data/papers/76002ede480eee75.pdf data/papers/76002ede480eee75.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Practical X-ray Gastric Cancer Diagnostic Support Using Refined Stochastic Data Augmentation and Hard Boundary Box Training arXiv 2021 https://arxiv.org/pdf/2108.08158v5 0edb9559d028b2d1 data/papers/0edb9559d028b2d1.pdf data/papers/0edb9559d028b2d1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis arXiv 2021 https://arxiv.org/pdf/2108.10132v2 2aa4e4126e2d5817 data/papers/2aa4e4126e2d5817.pdf data/papers/2aa4e4126e2d5817.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer patients arXiv 2021 https://arxiv.org/pdf/2108.10365v1 c665a396994c43ab data/papers/c665a396994c43ab.pdf data/papers/c665a396994c43ab.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification arXiv 2021 https://arxiv.org/pdf/2108.10709v1 b16acec576a0d4a0 data/papers/b16acec576a0d4a0.pdf data/papers/b16acec576a0d4a0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Natural Language Processing Accurately Categorizes Indications, Findings and Pathology Reports from Multicenter Colonoscopy arXiv 2021 https://arxiv.org/pdf/2108.11034v1 a284f322ee5cfe83 data/papers/a284f322ee5cfe83.pdf data/papers/a284f322ee5cfe83.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepGene Transformer: Transformer for the gene expression-based classification of cancer subtypes arXiv 2021 https://arxiv.org/pdf/2108.11833v4 0411ec7ff4a05b46 data/papers/0411ec7ff4a05b46.pdf data/papers/0411ec7ff4a05b46.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentation arXiv 2021 https://arxiv.org/pdf/2108.11993v2 22f45d0163975834 data/papers/22f45d0163975834.pdf data/papers/22f45d0163975834.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ovarian Cancer Prediction from Ovarian Cysts Based on TVUS Using Machine Learning Algorithms arXiv 2021 https://arxiv.org/pdf/2108.13387v1 04ef7d6beb0873f6 data/papers/04ef7d6beb0873f6.pdf data/papers/04ef7d6beb0873f6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using convolutional neural networks for the classification of breast cancer images arXiv 2021 https://arxiv.org/pdf/2108.13661v3 d47b0d2b3fa005bc data/papers/d47b0d2b3fa005bc.pdf data/papers/d47b0d2b3fa005bc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification arXiv 2021 https://arxiv.org/pdf/2109.00582v3 9241abfee536343d data/papers/9241abfee536343d.pdf data/papers/9241abfee536343d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-based mitosis detection in breast cancer histologic samples arXiv 2021 https://arxiv.org/pdf/2109.00816v1 c70e833c5475adfe data/papers/c70e833c5475adfe.pdf data/papers/c70e833c5475adfe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sk-Unet Model with Fourier Domain for Mitosis Detection arXiv 2021 https://arxiv.org/pdf/2109.00957v3 1c7f4997d6310dae data/papers/1c7f4997d6310dae.pdf data/papers/1c7f4997d6310dae.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mitosis Detection for Breast Cancer Pathology Images Using UV-Net arXiv 2021 https://arxiv.org/pdf/2109.01526v3 1cd56c30fc26ab3d data/papers/1cd56c30fc26ab3d.pdf data/papers/1cd56c30fc26ab3d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Investigate the Correlation of Breast Cancer Dataset using Different Clustering Technique arXiv 2021 https://arxiv.org/pdf/2109.01538v1 2fe219673722270d data/papers/2fe219673722270d.pdf data/papers/2fe219673722270d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study arXiv 2021 https://arxiv.org/pdf/2109.02252v1 4594076b749126fb data/papers/4594076b749126fb.pdf data/papers/4594076b749126fb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration arXiv 2021 https://arxiv.org/pdf/2109.02722v2 97b9a70373be0e37 data/papers/97b9a70373be0e37.pdf data/papers/97b9a70373be0e37.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Analysis of MRI Biomarkers for Brain Cancer Survival Prediction arXiv 2021 https://arxiv.org/pdf/2109.02785v1 cbac00bc8cd58daf data/papers/cbac00bc8cd58daf.pdf data/papers/cbac00bc8cd58daf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Scalable AI Approach for Clinical Trial Cohort Optimization arXiv 2021 https://arxiv.org/pdf/2109.02808v1 41e1272e2bf76e11 data/papers/41e1272e2bf76e11.pdf data/papers/41e1272e2bf76e11.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT arXiv 2021 https://arxiv.org/pdf/2109.05816v1 c5dc51b5dbc23218 data/papers/c5dc51b5dbc23218.pdf data/papers/c5dc51b5dbc23218.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers arXiv 2021 https://arxiv.org/pdf/2109.05819v1 61e8bb83f2951fe8 data/papers/61e8bb83f2951fe8.pdf data/papers/61e8bb83f2951fe8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need arXiv 2021 https://arxiv.org/pdf/2109.05892v1 704d275e9d8f2451 data/papers/704d275e9d8f2451.pdf data/papers/704d275e9d8f2451.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning arXiv 2021 https://arxiv.org/pdf/2109.06547v1 8984824bcab0b460 data/papers/8984824bcab0b460.pdf data/papers/8984824bcab0b460.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Pathology Deep Learning System Capable of Triage of Melanoma Specimens Utilizing Dermatopathologist Consensus as Ground Truth arXiv 2021 https://arxiv.org/pdf/2109.07554v1 23b048424f231b97 data/papers/23b048424f231b97.pdf data/papers/23b048424f231b97.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Medical Pre-Diagnosis System for Histopathological Image of Breast Cancer arXiv 2021 https://arxiv.org/pdf/2109.07878v1 0e35910d729b5047 data/papers/0e35910d729b5047.pdf data/papers/0e35910d729b5047.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net arXiv 2021 https://arxiv.org/pdf/2109.08330v2 e137f90c29a2f365 data/papers/e137f90c29a2f365.pdf data/papers/e137f90c29a2f365.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search arXiv 2021 https://arxiv.org/pdf/2109.09271v1 f3640f057ec92dc3 data/papers/f3640f057ec92dc3.pdf data/papers/f3640f057ec92dc3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning arXiv 2021 https://arxiv.org/pdf/2109.09283v1 27d13bb14893cb2d data/papers/27d13bb14893cb2d.pdf data/papers/27d13bb14893cb2d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A novel optical needle probe for deep learning-based tissue elasticity characterization arXiv 2021 https://arxiv.org/pdf/2109.09362v1 db4e048da3c6d96b data/papers/db4e048da3c6d96b.pdf data/papers/db4e048da3c6d96b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images arXiv 2021 https://arxiv.org/pdf/2109.10778v2 63e004c002092426 data/papers/63e004c002092426.pdf data/papers/63e004c002092426.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning arXiv 2021 https://arxiv.org/pdf/2109.12276v1 9684e640518afe1c data/papers/9684e640518afe1c.pdf data/papers/9684e640518afe1c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer Progression as a Learning Process arXiv 2021 https://arxiv.org/pdf/2109.12511v1 def78f30c235b4cd data/papers/def78f30c235b4cd.pdf data/papers/def78f30c235b4cd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images arXiv 2021 https://arxiv.org/pdf/2109.12617v1 87d9d9f7a3777b1b data/papers/87d9d9f7a3777b1b.pdf data/papers/87d9d9f7a3777b1b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Physics-Coupled Neural Network Magnetic Resonance Electrical Property Tomography (MREPT) for Conductivity Reconstruction arXiv 2021 https://arxiv.org/pdf/2109.12873v1 3238a2aa60b4c728 data/papers/3238a2aa60b4c728.pdf data/papers/3238a2aa60b4c728.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data arXiv 2021 https://arxiv.org/pdf/2109.14171v1 331a665772adabad data/papers/331a665772adabad.pdf data/papers/331a665772adabad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention arXiv 2021 https://arxiv.org/pdf/2109.14172v1 9294b9636c388d73 data/papers/9294b9636c388d73.pdf data/papers/9294b9636c388d73.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Study of Feature Selection and Extraction Algorithms for Cancer Subtype Prediction arXiv 2021 https://arxiv.org/pdf/2109.14648v1 fd11320e2ee52b07 data/papers/fd11320e2ee52b07.pdf data/papers/fd11320e2ee52b07.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatial and temporal dynamics of RhoA activities of single breast tumor cells in a 3D environment revealed by a machine learning-assisted FRET technique arXiv 2021 https://arxiv.org/pdf/2109.14748v1 1352bd442e1111e3 data/papers/1352bd442e1111e3.pdf data/papers/1352bd442e1111e3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation arXiv 2021 https://arxiv.org/pdf/2109.14754v1 225128914f8c2e18 data/papers/225128914f8c2e18.pdf data/papers/225128914f8c2e18.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A system on chip for melanoma detection using FPGA-based SVM classifier arXiv 2021 https://arxiv.org/pdf/2109.14840v1 2d64554b2acf2b13 data/papers/2d64554b2acf2b13.pdf data/papers/2d64554b2acf2b13.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation arXiv 2021 https://arxiv.org/pdf/2110.00404v1 eb51e7c180a728ab data/papers/eb51e7c180a728ab.pdf data/papers/eb51e7c180a728ab.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting erectile dysfunction after treatment for localized prostate cancer arXiv 2021 https://arxiv.org/pdf/2110.00615v1 40cef96eed852623 data/papers/40cef96eed852623.pdf data/papers/40cef96eed852623.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Artificial Intelligence For Breast Cancer Detection: Trends & Directions arXiv 2021 https://arxiv.org/pdf/2110.00942v1 4d4294c74fb7abd8 data/papers/4d4294c74fb7abd8.pdf data/papers/4d4294c74fb7abd8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network arXiv 2021 https://arxiv.org/pdf/2110.01606v3 9857c3971e512ad3 data/papers/9857c3971e512ad3.pdf data/papers/9857c3971e512ad3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation arXiv 2021 https://arxiv.org/pdf/2110.01939v1 52b0928fb6b4c08a data/papers/52b0928fb6b4c08a.pdf data/papers/52b0928fb6b4c08a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A transformer-based deep learning approach for classifying brain metastases into primary organ sites using clinical whole brain MRI arXiv 2021 https://arxiv.org/pdf/2110.03588v6 412d47b53ebd5c23 data/papers/412d47b53ebd5c23.pdf data/papers/412d47b53ebd5c23.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Boundary-aware Transformers for Skin Lesion Segmentation arXiv 2021 https://arxiv.org/pdf/2110.03864v1 0ad516cc3236adb1 data/papers/0ad516cc3236adb1.pdf data/papers/0ad516cc3236adb1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition arXiv 2021 https://arxiv.org/pdf/2110.04042v1 f96b303259df1dea data/papers/f96b303259df1dea.pdf data/papers/f96b303259df1dea.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images arXiv 2021 https://arxiv.org/pdf/2110.04069v1 b51c11dd46544a52 data/papers/b51c11dd46544a52.pdf data/papers/b51c11dd46544a52.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multiple Myeloma Cancer Cell Instance Segmentation arXiv 2021 https://arxiv.org/pdf/2110.04275v1 1d1a1446b4c415d2 data/papers/1d1a1446b4c415d2.pdf data/papers/1d1a1446b4c415d2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DenseNet approach to segmentation and classification of dermatoscopic skin lesions images arXiv 2021 https://arxiv.org/pdf/2110.04632v1 9447c8b63b64c610 data/papers/9447c8b63b64c610.pdf data/papers/9447c8b63b64c610.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Class Cell Detection Using Spatial Context Representation arXiv 2021 https://arxiv.org/pdf/2110.04886v2 0fb428979e122513 data/papers/0fb428979e122513.pdf data/papers/0fb428979e122513.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT arXiv 2021 https://arxiv.org/pdf/2110.05280v1 76e331d2e04618bf data/papers/76e331d2e04618bf.pdf data/papers/76e331d2e04618bf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Probabilistic Pareto plan generation for semiautomated multicriteria radiation therapy treatment planning arXiv 2021 https://arxiv.org/pdf/2110.05410v2 2eaf7f52613df3da data/papers/2eaf7f52613df3da.pdf data/papers/2eaf7f52613df3da.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking Platform arXiv 2021 https://arxiv.org/pdf/2110.05802v2 f3a358f8d123a7ed data/papers/f3a358f8d123a7ed.pdf data/papers/f3a358f8d123a7ed.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer arXiv 2021 https://arxiv.org/pdf/2110.06042v1 4b4ac4de50d29700 data/papers/4b4ac4de50d29700.pdf data/papers/4b4ac4de50d29700.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Teacher-Student Framework with Fourier Augmentation for COVID-19 Infection Segmentation in CT Images arXiv 2021 https://arxiv.org/pdf/2110.06411v2 8b87f031121f963f data/papers/8b87f031121f963f.pdf data/papers/8b87f031121f963f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Metaparametric Neural Networks for Survival Analysis arXiv 2021 https://arxiv.org/pdf/2110.06610v1 902c602fd3cdff4a data/papers/902c602fd3cdff4a.pdf data/papers/902c602fd3cdff4a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine arXiv 2021 https://arxiv.org/pdf/2110.07785v2 10c7d8822046d1df data/papers/10c7d8822046d1df.pdf data/papers/10c7d8822046d1df.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans arXiv 2021 https://arxiv.org/pdf/2110.08721v3 3d3945836de3879b data/papers/3d3945836de3879b.pdf data/papers/3d3945836de3879b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised U-Net for Segmenting Flat and Sessile Polyps arXiv 2021 https://arxiv.org/pdf/2110.08776v1 818b0d54da3e784c data/papers/818b0d54da3e784c.pdf data/papers/818b0d54da3e784c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SGEN: Single-cell Sequencing Graph Self-supervised Embedding Network arXiv 2021 https://arxiv.org/pdf/2110.09413v1 626c779f01554dfc data/papers/626c779f01554dfc.pdf data/papers/626c779f01554dfc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +One-Step Abductive Multi-Target Learning with Diverse Noisy Samples and Its Application to Tumour Segmentation for Breast Cancer arXiv 2021 https://arxiv.org/pdf/2110.10325v11 d08da6e46ca35d96 data/papers/d08da6e46ca35d96.pdf data/papers/d08da6e46ca35d96.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Curriculum Learning in Task Space for Multi-Class Based Mammography Diagnosis arXiv 2021 https://arxiv.org/pdf/2110.11320v1 36a5590704b11c57 data/papers/36a5590704b11c57.pdf data/papers/36a5590704b11c57.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rethinking Generalization Performance of Surgical Phase Recognition with Expert-Generated Annotations arXiv 2021 https://arxiv.org/pdf/2110.11626v1 dcb8769b2cb00306 data/papers/dcb8769b2cb00306.pdf data/papers/dcb8769b2cb00306.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Patient level simulation and reinforcement learning to discover novel strategies for treating ovarian cancer arXiv 2021 https://arxiv.org/pdf/2110.11872v1 cf855c5bb7846238 data/papers/cf855c5bb7846238.pdf data/papers/cf855c5bb7846238.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images arXiv 2021 https://arxiv.org/pdf/2110.12192v1 01d2731d3e4a0a29 data/papers/01d2731d3e4a0a29.pdf data/papers/01d2731d3e4a0a29.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Benchmarking of Lightweight Deep Learning Architectures for Skin Cancer Classification using ISIC 2017 Dataset arXiv 2021 https://arxiv.org/pdf/2110.12270v1 84348c2a78668c1e data/papers/84348c2a78668c1e.pdf data/papers/84348c2a78668c1e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Perineural Invasion Detection in Multiple Organ Cancer Based on Deep Convolutional Neural Network arXiv 2021 https://arxiv.org/pdf/2110.12283v1 5bbf277c483ba9f8 data/papers/5bbf277c483ba9f8.pdf data/papers/5bbf277c483ba9f8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Scoring System of HER2 in Pathological Images under the Microscope arXiv 2021 https://arxiv.org/pdf/2110.12900v2 ff35947137f28072 data/papers/ff35947137f28072.pdf data/papers/ff35947137f28072.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data arXiv 2021 https://arxiv.org/pdf/2110.13677v1 1c3dacf33c18a0c1 data/papers/1c3dacf33c18a0c1.pdf data/papers/1c3dacf33c18a0c1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network arXiv 2021 https://arxiv.org/pdf/2110.13683v1 8f9147b4a8f08f79 data/papers/8f9147b4a8f08f79.pdf data/papers/8f9147b4a8f08f79.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Integrated Pipeline of Segmentation Guided Classification of Breast Cancer from Ultrasound Images arXiv 2021 https://arxiv.org/pdf/2110.14013v2 9d9a4a697e4b818b data/papers/9d9a4a697e4b818b.pdf data/papers/9d9a4a697e4b818b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection arXiv 2021 https://arxiv.org/pdf/2110.14019v1 0d11d81e7d5ddacb data/papers/0d11d81e7d5ddacb.pdf data/papers/0d11d81e7d5ddacb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lung Cancer Lesion Detection in Histopathology Images Using Graph-Based Sparse PCA Network arXiv 2021 https://arxiv.org/pdf/2110.14728v2 cf8638acf29dce20 data/papers/cf8638acf29dce20.pdf data/papers/cf8638acf29dce20.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vision Transformer for Classification of Breast Ultrasound Images arXiv 2021 https://arxiv.org/pdf/2110.14731v3 8f1bdc0b278160c5 data/papers/8f1bdc0b278160c5.pdf data/papers/8f1bdc0b278160c5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Artificial confocal microscopy for deep label-free imaging arXiv 2021 https://arxiv.org/pdf/2110.14823v1 47f255814c03426d data/papers/47f255814c03426d.pdf data/papers/47f255814c03426d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy arXiv 2021 https://arxiv.org/pdf/2110.15087v3 2583f1b7132c8700 data/papers/2583f1b7132c8700.pdf data/papers/2583f1b7132c8700.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +XDEEP-MSI: Explainable Bias-Rejecting Microsatellite Instability Deep Learning System In Colorectal Cancer arXiv 2021 https://arxiv.org/pdf/2110.15350v1 3eacf8de53a977ad data/papers/3eacf8de53a977ad.pdf data/papers/3eacf8de53a977ad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration arXiv 2021 https://arxiv.org/pdf/2111.00484v1 4c4cd64290e3cb42 data/papers/4c4cd64290e3cb42.pdf data/papers/4c4cd64290e3cb42.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study arXiv 2021 https://arxiv.org/pdf/2111.01544v1 f4e1cf59f57b85d9 data/papers/f4e1cf59f57b85d9.pdf data/papers/f4e1cf59f57b85d9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Skin Cancer Classification using Inception Network and Transfer Learning arXiv 2021 https://arxiv.org/pdf/2111.02402v1 4ac68bbbac76e06c data/papers/4ac68bbbac76e06c.pdf data/papers/4ac68bbbac76e06c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Covariance Structure Estimation with Laplace Approximation arXiv 2021 https://arxiv.org/pdf/2111.02637v3 fb8e121f02c7b888 data/papers/fb8e121f02c7b888.pdf data/papers/fb8e121f02c7b888.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning arXiv 2021 https://arxiv.org/pdf/2111.03063v1 c050313916e96390 data/papers/c050313916e96390.pdf data/papers/c050313916e96390.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer arXiv 2021 https://arxiv.org/pdf/2111.03532v1 6a81129879827bf7 data/papers/6a81129879827bf7.pdf data/papers/6a81129879827bf7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Based Model for Breast Cancer Subtype Classification arXiv 2021 https://arxiv.org/pdf/2111.03923v2 ec264d33dbdda56b data/papers/ec264d33dbdda56b.pdf data/papers/ec264d33dbdda56b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network arXiv 2021 https://arxiv.org/pdf/2111.04733v1 82e45c2081ed0709 data/papers/82e45c2081ed0709.pdf data/papers/82e45c2081ed0709.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images arXiv 2021 https://arxiv.org/pdf/2111.04740v1 e0a849525cc2d991 data/papers/e0a849525cc2d991.pdf data/papers/e0a849525cc2d991.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EvoLearner: Learning Description Logics with Evolutionary Algorithms arXiv 2021 https://arxiv.org/pdf/2111.04879v2 42525688106efdd2 data/papers/42525688106efdd2.pdf data/papers/42525688106efdd2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Subtyping patients with chronic disease using longitudinal BMI patterns arXiv 2021 https://arxiv.org/pdf/2111.05385v2 f2aeae6ba172db39 data/papers/f2aeae6ba172db39.pdf data/papers/f2aeae6ba172db39.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust deep learning-based semantic organ segmentation in hyperspectral images arXiv 2021 https://arxiv.org/pdf/2111.05408v2 1e8decd2e23746c0 data/papers/1e8decd2e23746c0.pdf data/papers/1e8decd2e23746c0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Preserving Dense Features for Ki67 Nuclei Detection arXiv 2021 https://arxiv.org/pdf/2111.05482v3 f2f56e3d1c492209 data/papers/f2f56e3d1c492209.pdf data/papers/f2f56e3d1c492209.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Biomarker Gene Identification for Breast Cancer Classification arXiv 2021 https://arxiv.org/pdf/2111.05546v3 fe9ae048f122350d data/papers/fe9ae048f122350d.pdf data/papers/fe9ae048f122350d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI using Noisy Student-based Training arXiv 2021 https://arxiv.org/pdf/2111.05959v2 bbb991d12f74a314 data/papers/bbb991d12f74a314.pdf data/papers/bbb991d12f74a314.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Models for Cause-of-Death Mortality in Multiple Populations arXiv 2021 https://arxiv.org/pdf/2111.06631v1 8f8f9fa16c996807 data/papers/8f8f9fa16c996807.pdf data/papers/8f8f9fa16c996807.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Monte Carlo dropout increases model repeatability arXiv 2021 https://arxiv.org/pdf/2111.06754v1 bed392e4fbc1c3c9 data/papers/bed392e4fbc1c3c9.pdf data/papers/bed392e4fbc1c3c9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography arXiv 2021 https://arxiv.org/pdf/2111.06890v1 85a103196678427e data/papers/85a103196678427e.pdf data/papers/85a103196678427e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery arXiv 2021 https://arxiv.org/pdf/2111.07348v2 638a2b80086dbc10 data/papers/638a2b80086dbc10.pdf data/papers/638a2b80086dbc10.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Disparities in Dermatology AI: Assessments Using Diverse Clinical Images arXiv 2021 https://arxiv.org/pdf/2111.08006v1 0397860cbae81743 data/papers/0397860cbae81743.pdf data/papers/0397860cbae81743.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Inverse-Weighted Survival Games arXiv 2021 https://arxiv.org/pdf/2111.08175v2 e866ea2ed7f0249b data/papers/e866ea2ed7f0249b.pdf data/papers/e866ea2ed7f0249b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism arXiv 2021 https://arxiv.org/pdf/2111.08708v3 f0d22ab7c6a8cb2d data/papers/f0d22ab7c6a8cb2d.pdf data/papers/f0d22ab7c6a8cb2d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmentation of Lung Tumor from CT Images using Deep Supervision arXiv 2021 https://arxiv.org/pdf/2111.09262v1 f1b03fc6f66ae42e data/papers/f1b03fc6f66ae42e.pdf data/papers/f1b03fc6f66ae42e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Review on The Division of Magnetic Resonant Prostate Images with Deep Learning arXiv 2021 https://arxiv.org/pdf/2111.10683v1 c044ebb5ca9c318f data/papers/c044ebb5ca9c318f.pdf data/papers/c044ebb5ca9c318f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Nanorobot queue: Cooperative treatment of cancer based on team member communication and image processing arXiv 2021 https://arxiv.org/pdf/2111.11236v3 4c3baf70bc977966 data/papers/4c3baf70bc977966.pdf data/papers/4c3baf70bc977966.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SOMPS-Net : Attention based social graph framework for early detection of fake health news arXiv 2021 https://arxiv.org/pdf/2111.11272v1 15147015130aa6c0 data/papers/15147015130aa6c0.pdf data/papers/15147015130aa6c0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Decentralized Federated Learning through Proxy Model Sharing arXiv 2021 https://arxiv.org/pdf/2111.11343v2 12b906cb4bf93c00 data/papers/12b906cb4bf93c00.pdf data/papers/12b906cb4bf93c00.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bayesian Robust Learning in Chain Graph Models for Integrative Pharmacogenomics arXiv 2021 https://arxiv.org/pdf/2111.11529v1 98a030fca091180a data/papers/98a030fca091180a.pdf data/papers/98a030fca091180a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deformable image registration with deep network priors: a study on longitudinal PET images arXiv 2021 https://arxiv.org/pdf/2111.11873v2 a6a59c235a0fa494 data/papers/a6a59c235a0fa494.pdf data/papers/a6a59c235a0fa494.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient Decompositional Rule Extraction for Deep Neural Networks arXiv 2021 https://arxiv.org/pdf/2111.12628v1 30c2a0f2619f7b37 data/papers/30c2a0f2619f7b37.pdf data/papers/30c2a0f2619f7b37.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Integrate Framework: Application to Liver Tumor and Vessel 3D Reconstruction under embedded microprocessor arXiv 2021 https://arxiv.org/pdf/2111.13299v4 67f297eb21f69f0c data/papers/67f297eb21f69f0c.pdf data/papers/67f297eb21f69f0c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network arXiv 2021 https://arxiv.org/pdf/2111.13439v1 a72deffd45fd29d8 data/papers/a72deffd45fd29d8.pdf data/papers/a72deffd45fd29d8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-modality fusion using canonical correlation analysis methods: Application in breast cancer survival prediction from histology and genomics arXiv 2021 https://arxiv.org/pdf/2111.13987v1 2f0566b039e7ff93 data/papers/2f0566b039e7ff93.pdf data/papers/2f0566b039e7ff93.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SurvODE: Extrapolating Gene Expression Distribution for Early Cancer Identification arXiv 2021 https://arxiv.org/pdf/2111.15080v1 9f752aa3311d7afd data/papers/9f752aa3311d7afd.pdf data/papers/9f752aa3311d7afd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A novel data-driven algorithm to predict anomalous prescription based on patient's feature set arXiv 2021 https://arxiv.org/pdf/2111.15101v1 fd6db773bb37398b data/papers/fd6db773bb37398b.pdf data/papers/fd6db773bb37398b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Biology and medicine in the landscape of quantum advantages arXiv 2021 https://arxiv.org/pdf/2112.00760v2 e6ebe0aeef431c8f data/papers/e6ebe0aeef431c8f.pdf data/papers/e6ebe0aeef431c8f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer arXiv 2021 https://arxiv.org/pdf/2112.01330v1 d2fc79c0a99f5205 data/papers/d2fc79c0a99f5205.pdf data/papers/d2fc79c0a99f5205.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic tumour segmentation in H&E-stained whole-slide images of the pancreas arXiv 2021 https://arxiv.org/pdf/2112.01533v2 dc9c4ba9d2188797 data/papers/dc9c4ba9d2188797.pdf data/papers/dc9c4ba9d2188797.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification arXiv 2021 https://arxiv.org/pdf/2112.01767v1 04c5b0915ca37cf7 data/papers/04c5b0915ca37cf7.pdf data/papers/04c5b0915ca37cf7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides arXiv 2021 https://arxiv.org/pdf/2112.02222v4 f347adda9b1856ab data/papers/f347adda9b1856ab.pdf data/papers/f347adda9b1856ab.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images arXiv 2021 https://arxiv.org/pdf/2112.03455v1 6bebf04e0b3eafaf data/papers/6bebf04e0b3eafaf.pdf data/papers/6bebf04e0b3eafaf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neural Networks for Infectious Diseases Detection: Prospects and Challenges arXiv 2021 https://arxiv.org/pdf/2112.03571v1 304f84a464970c17 data/papers/304f84a464970c17.pdf data/papers/304f84a464970c17.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Nuclei Segmentation in Histopathology Images using Deep Learning with Local and Global Views arXiv 2021 https://arxiv.org/pdf/2112.03998v1 e85ccb6a3275eaff data/papers/e85ccb6a3275eaff.pdf data/papers/e85ccb6a3275eaff.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Annotation-efficient cancer detection with report-guided lesion annotation for deep learning-based prostate cancer detection in bpMRI arXiv 2021 https://arxiv.org/pdf/2112.05151v2 82a40c89142038a6 data/papers/82a40c89142038a6.pdf data/papers/82a40c89142038a6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRI arXiv 2021 https://arxiv.org/pdf/2112.06554v2 5241152ae0f622d0 data/papers/5241152ae0f622d0.pdf data/papers/5241152ae0f622d0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A prediction-based approach for online dynamic patient scheduling: a case study in radiotherapy treatment arXiv 2021 https://arxiv.org/pdf/2112.08549v2 57520e6523455b6d data/papers/57520e6523455b6d.pdf data/papers/57520e6523455b6d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Search for temporal cell segmentation robustness in phase-contrast microscopy videos arXiv 2021 https://arxiv.org/pdf/2112.08817v1 b3e8391ca16b9db8 data/papers/b3e8391ca16b9db8.pdf data/papers/b3e8391ca16b9db8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A molecular generative model with genetic algorithm and tree search for cancer samples arXiv 2021 https://arxiv.org/pdf/2112.08959v1 ce33c3dddd60a2fe data/papers/ce33c3dddd60a2fe.pdf data/papers/ce33c3dddd60a2fe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +High-Dimensional Inference in Bayesian Networks arXiv 2021 https://arxiv.org/pdf/2112.09217v2 5eff127abede2e87 data/papers/5eff127abede2e87.pdf data/papers/5eff127abede2e87.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows arXiv 2021 https://arxiv.org/pdf/2112.09895v1 ee28d721e29978e7 data/papers/ee28d721e29978e7.pdf data/papers/ee28d721e29978e7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep Learning Based Workflow for Detection of Lung Nodules With Chest Radiograph arXiv 2021 https://arxiv.org/pdf/2112.10184v4 864c7d644adad472 data/papers/864c7d644adad472.pdf data/papers/864c7d644adad472.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Community Detection in Medical Image Datasets: Using Wavelets and Spectral Methods arXiv 2021 https://arxiv.org/pdf/2112.12021v2 66e799369e2b3ee3 data/papers/66e799369e2b3ee3.pdf data/papers/66e799369e2b3ee3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SAMCNet for Spatial-configuration-based Classification: A Summary of Results arXiv 2021 https://arxiv.org/pdf/2112.12219v2 21e4c0ed1574680a data/papers/21e4c0ed1574680a.pdf data/papers/21e4c0ed1574680a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health arXiv 2021 https://arxiv.org/pdf/2112.12554v1 313fbf3649faf0d5 data/papers/313fbf3649faf0d5.pdf data/papers/313fbf3649faf0d5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs arXiv 2021 https://arxiv.org/pdf/2112.12582v1 a034f02897a6a92b data/papers/a034f02897a6a92b.pdf data/papers/a034f02897a6a92b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data arXiv 2021 https://arxiv.org/pdf/2112.12665v2 08e37e7ea8c79b59 data/papers/08e37e7ea8c79b59.pdf data/papers/08e37e7ea8c79b59.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions arXiv 2021 https://arxiv.org/pdf/2112.12748v1 d625230f570686f0 data/papers/d625230f570686f0.pdf data/papers/d625230f570686f0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ABC of the Future arXiv 2021 https://arxiv.org/pdf/2112.12841v2 4286d6c96ba9bc0f data/papers/4286d6c96ba9bc0f.pdf data/papers/4286d6c96ba9bc0f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Constrained tensor factorization for computational phenotyping and mortality prediction in patients with cancer arXiv 2021 https://arxiv.org/pdf/2112.12933v1 87f8fcda82ef443c data/papers/87f8fcda82ef443c.pdf data/papers/87f8fcda82ef443c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer arXiv 2021 https://arxiv.org/pdf/2112.13513v1 f0fbfbf2530bed0c data/papers/f0fbfbf2530bed0c.pdf data/papers/f0fbfbf2530bed0c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of Histopathology Images of Lung Cancer Using Convolutional Neural Network (CNN) arXiv 2021 https://arxiv.org/pdf/2112.13553v1 1a01e476ece1243d data/papers/1a01e476ece1243d.pdf data/papers/1a01e476ece1243d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma arXiv 2021 https://arxiv.org/pdf/2112.14026v1 bbcd080676bea57d data/papers/bbcd080676bea57d.pdf data/papers/bbcd080676bea57d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Implementation of Convolutional Neural Network Architecture on 3D Multiparametric Magnetic Resonance Imaging for Prostate Cancer Diagnosis arXiv 2021 https://arxiv.org/pdf/2112.14644v1 c276103329d4d343 data/papers/c276103329d4d343.pdf data/papers/c276103329d4d343.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model arXiv 2022 https://arxiv.org/pdf/2201.00636v1 a1a511c263f1a96f data/papers/a1a511c263f1a96f.pdf data/papers/a1a511c263f1a96f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images arXiv 2022 https://arxiv.org/pdf/2201.00895v1 4b4966cfeabc8df9 data/papers/4b4966cfeabc8df9.pdf data/papers/4b4966cfeabc8df9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection arXiv 2022 https://arxiv.org/pdf/2201.00957v1 e973b4e320bb50f9 data/papers/e973b4e320bb50f9.pdf data/papers/e973b4e320bb50f9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia arXiv 2022 https://arxiv.org/pdf/2201.01449v1 5b2342ef993eedac data/papers/5b2342ef993eedac.pdf data/papers/5b2342ef993eedac.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation arXiv 2022 https://arxiv.org/pdf/2201.01636v2 f1f8b88eebb36b52 data/papers/f1f8b88eebb36b52.pdf data/papers/f1f8b88eebb36b52.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Review of Mathematical and Computational Methods in Cancer Dynamics arXiv 2022 https://arxiv.org/pdf/2201.02055v6 4e721796104b085c data/papers/4e721796104b085c.pdf data/papers/4e721796104b085c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning with Less Labels in Digital Pathology via Scribble Supervision from Natural Images arXiv 2022 https://arxiv.org/pdf/2201.02627v2 4e121c1ecd2e34bb data/papers/4e121c1ecd2e34bb.pdf data/papers/4e121c1ecd2e34bb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Open-Set Recognition of Breast Cancer Treatments arXiv 2022 https://arxiv.org/pdf/2201.02923v1 7d705097c7872e28 data/papers/7d705097c7872e28.pdf data/papers/7d705097c7872e28.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sensitivity Analysis for Binary Outcome Misclassification in Randomization Tests via Integer Programming arXiv 2022 https://arxiv.org/pdf/2201.03111v3 3cb8ac3a1680d6f4 data/papers/3cb8ac3a1680d6f4.pdf data/papers/3cb8ac3a1680d6f4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations arXiv 2022 https://arxiv.org/pdf/2201.03597v2 917ec9d33d17dc17 data/papers/917ec9d33d17dc17.pdf data/papers/917ec9d33d17dc17.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optimizing Prediction of MGMT Promoter Methylation from MRI Scans using Adversarial Learning arXiv 2022 https://arxiv.org/pdf/2201.04416v2 31515269a08bf62a data/papers/31515269a08bf62a.pdf data/papers/31515269a08bf62a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MAg: a simple learning-based patient-level aggregation method for detecting microsatellite instability from whole-slide images arXiv 2022 https://arxiv.org/pdf/2201.04769v1 b9a22973091bdf5f data/papers/b9a22973091bdf5f.pdf data/papers/b9a22973091bdf5f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer arXiv 2022 https://arxiv.org/pdf/2201.04795v1 3521d38ccfc7a739 data/papers/3521d38ccfc7a739.pdf data/papers/3521d38ccfc7a739.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP) arXiv 2022 https://arxiv.org/pdf/2201.04816v1 bfb8a7b78bf56ae7 data/papers/bfb8a7b78bf56ae7.pdf data/papers/bfb8a7b78bf56ae7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Artificial Intelligence in Software Testing : Impact, Problems, Challenges and Prospect arXiv 2022 https://arxiv.org/pdf/2201.05371v1 6bba199d126fe903 data/papers/6bba199d126fe903.pdf data/papers/6bba199d126fe903.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Systematic analysis reveals key microRNAs as diagnostic and prognostic factors in progressive stages of lung cancer arXiv 2022 https://arxiv.org/pdf/2201.05408v1 62a1b3b2e1948e73 data/papers/62a1b3b2e1948e73.pdf data/papers/62a1b3b2e1948e73.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated causal inference in application to randomized controlled clinical trials arXiv 2022 https://arxiv.org/pdf/2201.05773v3 dbce6d192d545525 data/papers/dbce6d192d545525.pdf data/papers/dbce6d192d545525.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Developing a data analysis pipeline for automated protein profiling in immunology arXiv 2022 https://arxiv.org/pdf/2201.06074v1 e2741144c730161f data/papers/e2741144c730161f.pdf data/papers/e2741144c730161f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models? arXiv 2022 https://arxiv.org/pdf/2201.06086v2 a387f0af94088fcd data/papers/a387f0af94088fcd.pdf data/papers/a387f0af94088fcd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are? arXiv 2022 https://arxiv.org/pdf/2201.06251v2 e2bff55b9df091ba data/papers/e2bff55b9df091ba.pdf data/papers/e2bff55b9df091ba.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Cervix Model Development from Heterogeneous and Partially Labeled Image Datasets arXiv 2022 https://arxiv.org/pdf/2201.07013v1 a366d890eac9f2ab data/papers/a366d890eac9f2ab.pdf data/papers/a366d890eac9f2ab.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable Ensemble Machine Learning for Breast Cancer Diagnosis based on Ultrasound Image Texture Features arXiv 2022 https://arxiv.org/pdf/2201.07227v1 c7cc1022a4b9dbe6 data/papers/c7cc1022a4b9dbe6.pdf data/papers/c7cc1022a4b9dbe6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting arXiv 2022 https://arxiv.org/pdf/2201.07391v3 d901ed2e72a35475 data/papers/d901ed2e72a35475.pdf data/papers/d901ed2e72a35475.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Superpixel Pre-Segmentation of HER2 Slides for Efficient Annotation arXiv 2022 https://arxiv.org/pdf/2201.07572v1 eb8da736df048070 data/papers/eb8da736df048070.pdf data/papers/eb8da736df048070.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective arXiv 2022 https://arxiv.org/pdf/2201.08894v3 b55b414352f41da1 data/papers/b55b414352f41da1.pdf data/papers/b55b414352f41da1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Wavelet-based Assessment of Scaling with Applications arXiv 2022 https://arxiv.org/pdf/2201.09320v1 daabcd24484adcfc data/papers/daabcd24484adcfc.pdf data/papers/daabcd24484adcfc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Probabilistic Learning of Treatment Trees in Cancer arXiv 2022 https://arxiv.org/pdf/2201.09371v1 a6715f48d5902908 data/papers/a6715f48d5902908.pdf data/papers/a6715f48d5902908.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection arXiv 2022 https://arxiv.org/pdf/2201.09563v1 3252ecc69ea681e4 data/papers/3252ecc69ea681e4.pdf data/papers/3252ecc69ea681e4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction arXiv 2022 https://arxiv.org/pdf/2201.10353v1 031e57dd90879874 data/papers/031e57dd90879874.pdf data/papers/031e57dd90879874.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers arXiv 2022 https://arxiv.org/pdf/2201.10981v3 3527d3911268aa67 data/papers/3527d3911268aa67.pdf data/papers/3527d3911268aa67.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset arXiv 2022 https://arxiv.org/pdf/2201.11446v2 1d87253142d2b6d8 data/papers/1d87253142d2b6d8.pdf data/papers/1d87253142d2b6d8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study arXiv 2022 https://arxiv.org/pdf/2201.11620v2 6c42575b9879ffd3 data/papers/6c42575b9879ffd3.pdf data/papers/6c42575b9879ffd3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Approximate Bayesian Computation Based on Maxima Weighted Isolation Kernel Mapping arXiv 2022 https://arxiv.org/pdf/2201.12745v3 b89fa88acf6dbf01 data/papers/b89fa88acf6dbf01.pdf data/papers/b89fa88acf6dbf01.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Intelligence-Driven Classification of Cancer Patients-Derived Extracellular Vesicles using Fluorescence Correlation Spectroscopy: Results from a Pilot Study arXiv 2022 https://arxiv.org/pdf/2202.00495v1 29ae55c14911d24e data/papers/29ae55c14911d24e.pdf data/papers/29ae55c14911d24e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of Skin Cancer Images using Convolutional Neural Networks arXiv 2022 https://arxiv.org/pdf/2202.00678v1 945ce088cd4dfd97 data/papers/945ce088cd4dfd97.pdf data/papers/945ce088cd4dfd97.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reinforcement learning of optimal active particle navigation arXiv 2022 https://arxiv.org/pdf/2202.00812v1 65a4509ff426bd26 data/papers/65a4509ff426bd26.pdf data/papers/65a4509ff426bd26.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls arXiv 2022 https://arxiv.org/pdf/2202.01337v2 a2b05a06ffa89407 data/papers/a2b05a06ffa89407.pdf data/papers/a2b05a06ffa89407.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Organ at Risk Segmentation with Improved Deep Neural Networks arXiv 2022 https://arxiv.org/pdf/2202.01866v1 12f5f150f2fce5b8 data/papers/12f5f150f2fce5b8.pdf data/papers/12f5f150f2fce5b8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis arXiv 2022 https://arxiv.org/pdf/2202.02131v1 1d919d8d06cbb613 data/papers/1d919d8d06cbb613.pdf data/papers/1d919d8d06cbb613.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-based Assessment of Hepatic Steatosis on chest CT arXiv 2022 https://arxiv.org/pdf/2202.02377v1 eeee38ba7ae90a26 data/papers/eeee38ba7ae90a26.pdf data/papers/eeee38ba7ae90a26.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transformers and the representation of biomedical background knowledge arXiv 2022 https://arxiv.org/pdf/2202.02432v3 2b68020ee8a30071 data/papers/2b68020ee8a30071.pdf data/papers/2b68020ee8a30071.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records arXiv 2022 https://arxiv.org/pdf/2202.03487v1 64ea694468452f02 data/papers/64ea694468452f02.pdf data/papers/64ea694468452f02.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Survey of Breast Cancer Screening Techniques: Thermography and Electrical Impedance Tomography arXiv 2022 https://arxiv.org/pdf/2202.03737v1 24275f43b38bb2d2 data/papers/24275f43b38bb2d2.pdf data/papers/24275f43b38bb2d2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data arXiv 2022 https://arxiv.org/pdf/2202.03758v1 fe6f7aad79c7b5c4 data/papers/fe6f7aad79c7b5c4.pdf data/papers/fe6f7aad79c7b5c4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Bayesian Variable Clustering via Structural Learning of Breast Cancer Data arXiv 2022 https://arxiv.org/pdf/2202.03979v1 514e0833269242bc data/papers/514e0833269242bc.pdf data/papers/514e0833269242bc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Precision Radiotherapy via Information Integration of Expert Human Knowledge and AI Recommendation to Optimize Clinical Decision Making arXiv 2022 https://arxiv.org/pdf/2202.04565v1 db0b38114450589e data/papers/db0b38114450589e.pdf data/papers/db0b38114450589e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepCENT: Prediction of Censored Event Time via Deep Learning arXiv 2022 https://arxiv.org/pdf/2202.05155v1 8d032d9a8fa0e9ae data/papers/8d032d9a8fa0e9ae.pdf data/papers/8d032d9a8fa0e9ae.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +On Real-time Image Reconstruction with Neural Networks for MRI-guided Radiotherapy arXiv 2022 https://arxiv.org/pdf/2202.05267v2 4c1de869949af429 data/papers/4c1de869949af429.pdf data/papers/4c1de869949af429.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of Microscopy Images of Breast Tissue: Region Duplication based Self-Supervision vs. Off-the Shelf Deep Representations arXiv 2022 https://arxiv.org/pdf/2202.06073v1 8233403f1e3d0e87 data/papers/8233403f1e3d0e87.pdf data/papers/8233403f1e3d0e87.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Detection using Histopathological Images arXiv 2022 https://arxiv.org/pdf/2202.06109v1 ec2f56c0f3438473 data/papers/ec2f56c0f3438473.pdf data/papers/ec2f56c0f3438473.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images arXiv 2022 https://arxiv.org/pdf/2202.06590v1 8ab9312f3f51200a data/papers/8ab9312f3f51200a.pdf data/papers/8ab9312f3f51200a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving the repeatability of deep learning models with Monte Carlo dropout arXiv 2022 https://arxiv.org/pdf/2202.07562v1 6fd3d505cf6e4d76 data/papers/6fd3d505cf6e4d76.pdf data/papers/6fd3d505cf6e4d76.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification arXiv 2022 https://arxiv.org/pdf/2202.07570v3 94d8ad68098d7108 data/papers/94d8ad68098d7108.pdf data/papers/94d8ad68098d7108.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A multi-reconstruction study of breast density estimation using Deep Learning arXiv 2022 https://arxiv.org/pdf/2202.08238v3 cdc41cd3d1e0af6c data/papers/cdc41cd3d1e0af6c.pdf data/papers/cdc41cd3d1e0af6c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Visual attention analysis of pathologists examining whole slide images of Prostate cancer arXiv 2022 https://arxiv.org/pdf/2202.08437v2 588bb517e206d053 data/papers/588bb517e206d053.pdf data/papers/588bb517e206d053.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation arXiv 2022 https://arxiv.org/pdf/2202.08552v1 125de5b5fb399938 data/papers/125de5b5fb399938.pdf data/papers/125de5b5fb399938.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Movement Primitives: toward Breast Cancer Examination Robot arXiv 2022 https://arxiv.org/pdf/2202.09265v1 d310b808a6b1185b data/papers/d310b808a6b1185b.pdf data/papers/d310b808a6b1185b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation arXiv 2022 https://arxiv.org/pdf/2202.09798v1 1d86a7fab9ce3156 data/papers/1d86a7fab9ce3156.pdf data/papers/1d86a7fab9ce3156.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cell nuclei classification in histopathological images using hybrid OLConvNet arXiv 2022 https://arxiv.org/pdf/2202.10177v1 f338913608287d2b data/papers/f338913608287d2b.pdf data/papers/f338913608287d2b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ensembling Handcrafted Features with Deep Features: An Analytical Study for Classification of Routine Colon Cancer Histopathological Nuclei Images arXiv 2022 https://arxiv.org/pdf/2202.10694v1 3a1b07e365a08f1d data/papers/3a1b07e365a08f1d.pdf data/papers/3a1b07e365a08f1d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Translational Quantum Machine Intelligence for Modeling Tumor Dynamics in Oncology arXiv 2022 https://arxiv.org/pdf/2202.10919v3 e8f2892d131e3ed2 data/papers/e8f2892d131e3ed2.pdf data/papers/e8f2892d131e3ed2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Subtyping brain diseases from imaging data arXiv 2022 https://arxiv.org/pdf/2202.10945v1 7ed34456cd639ead data/papers/7ed34456cd639ead.pdf data/papers/7ed34456cd639ead.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Efficient Binary Harris Hawks Optimization based on Quantum SVM for Cancer Classification Tasks arXiv 2022 https://arxiv.org/pdf/2202.11899v1 9982c75ec8490cf1 data/papers/9982c75ec8490cf1.pdf data/papers/9982c75ec8490cf1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge arXiv 2022 https://arxiv.org/pdf/2202.12031v1 b8c077bd32ec8e6b data/papers/b8c077bd32ec8e6b.pdf data/papers/b8c077bd32ec8e6b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Faithful learning with sure data for lung nodule diagnosis arXiv 2022 https://arxiv.org/pdf/2202.12515v1 e3bd81ea1fe52b33 data/papers/e3bd81ea1fe52b33.pdf data/papers/e3bd81ea1fe52b33.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Texture Characterization of Histopathologic Images Using Ecological Diversity Measures and Discrete Wavelet Transform arXiv 2022 https://arxiv.org/pdf/2202.13270v1 ea59b9a9fcdde7ef data/papers/ea59b9a9fcdde7ef.pdf data/papers/ea59b9a9fcdde7ef.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Learning for cell recognition in immunohistochemical cytoplasm staining images arXiv 2022 https://arxiv.org/pdf/2202.13372v1 3e9f5e86ff6aafc8 data/papers/3e9f5e86ff6aafc8.pdf data/papers/3e9f5e86ff6aafc8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data-driven simulation of Fisher-Kolmogorov tumor growth models using Dynamic Mode Decomposition arXiv 2022 https://arxiv.org/pdf/2202.13860v1 8f7c630b6d6e2f4d data/papers/8f7c630b6d6e2f4d.pdf data/papers/8f7c630b6d6e2f4d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ReCasNet: Improving consistency within the two-stage mitosis detection framework arXiv 2022 https://arxiv.org/pdf/2202.13912v1 d4b604f925868755 data/papers/d4b604f925868755.pdf data/papers/d4b604f925868755.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning based Prediction of MSI using MMR Markers in Colorectal Cancer arXiv 2022 https://arxiv.org/pdf/2203.00449v3 c3faa4f28e63c4c4 data/papers/c3faa4f28e63c4c4.pdf data/papers/c3faa4f28e63c4c4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology arXiv 2022 https://arxiv.org/pdf/2203.00585v1 cb03bbf90db742ba data/papers/cb03bbf90db742ba.pdf data/papers/cb03bbf90db742ba.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Task Multi-Scale Learning For Outcome Prediction in 3D PET Images arXiv 2022 https://arxiv.org/pdf/2203.00641v1 dd98b5ba92702392 data/papers/dd98b5ba92702392.pdf data/papers/dd98b5ba92702392.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +VaiPhy: a Variational Inference Based Algorithm for Phylogeny arXiv 2022 https://arxiv.org/pdf/2203.01121v3 b45a6b064f457a5a data/papers/b45a6b064f457a5a.pdf data/papers/b45a6b064f457a5a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector arXiv 2022 https://arxiv.org/pdf/2203.01321v1 e8263ae6f3ac3da6 data/papers/e8263ae6f3ac3da6.pdf data/papers/e8263ae6f3ac3da6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quantum Approximate Optimization Algorithm for Bayesian network structure learning arXiv 2022 https://arxiv.org/pdf/2203.02400v1 7b142ee98418f8df data/papers/7b142ee98418f8df.pdf data/papers/7b142ee98418f8df.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cellular Segmentation and Composition in Routine Histology Images using Deep Learning arXiv 2022 https://arxiv.org/pdf/2203.02510v1 1d636fc570e66285 data/papers/1d636fc570e66285.pdf data/papers/1d636fc570e66285.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning Applications in Lung Cancer Diagnosis, Treatment and Prognosis arXiv 2022 https://arxiv.org/pdf/2203.02794v3 d67d9cd67a12c85a data/papers/d67d9cd67a12c85a.pdf data/papers/d67d9cd67a12c85a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain Adaptation of Automated Treatment Planning from Computed Tomography to Magnetic Resonance arXiv 2022 https://arxiv.org/pdf/2203.03576v1 067ca42e56d23f8e data/papers/067ca42e56d23f8e.pdf data/papers/067ca42e56d23f8e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mammograms Classification: A Review arXiv 2022 https://arxiv.org/pdf/2203.03618v1 410a1657cb56b2a2 data/papers/410a1657cb56b2a2.pdf data/papers/410a1657cb56b2a2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-channel deep convolutional neural networks for multi-classifying thyroid disease arXiv 2022 https://arxiv.org/pdf/2203.03627v1 007ed70c75560b0e data/papers/007ed70c75560b0e.pdf data/papers/007ed70c75560b0e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stepwise Feature Fusion: Local Guides Global arXiv 2022 https://arxiv.org/pdf/2203.03635v3 c87a5d7b7f4b32f4 data/papers/c87a5d7b7f4b32f4.pdf data/papers/c87a5d7b7f4b32f4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Efficient Polyp Segmentation Network arXiv 2022 https://arxiv.org/pdf/2203.04118v2 e5a20234fd1974c8 data/papers/e5a20234fd1974c8.pdf data/papers/e5a20234fd1974c8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data arXiv 2022 https://arxiv.org/pdf/2203.04289v1 92915305be24e570 data/papers/92915305be24e570.pdf data/papers/92915305be24e570.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast cancer detection using artificial intelligence techniques: A systematic literature review arXiv 2022 https://arxiv.org/pdf/2203.04308v1 ce3ea4c23c9e8544 data/papers/ce3ea4c23c9e8544.pdf data/papers/ce3ea4c23c9e8544.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data arXiv 2022 https://arxiv.org/pdf/2203.04419v2 6582c8c6b55acbe7 data/papers/6582c8c6b55acbe7.pdf data/papers/6582c8c6b55acbe7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification arXiv 2022 https://arxiv.org/pdf/2203.04961v2 0d980287984f2709 data/papers/0d980287984f2709.pdf data/papers/0d980287984f2709.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling arXiv 2022 https://arxiv.org/pdf/2203.04964v1 17df7e7b85ca3179 data/papers/17df7e7b85ca3179.pdf data/papers/17df7e7b85ca3179.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials arXiv 2022 https://arxiv.org/pdf/2203.05123v1 22d36d4ecc3bf796 data/papers/22d36d4ecc3bf796.pdf data/papers/22d36d4ecc3bf796.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features arXiv 2022 https://arxiv.org/pdf/2203.06314v3 7c4e5362d4aa36cf data/papers/7c4e5362d4aa36cf.pdf data/papers/7c4e5362d4aa36cf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning arXiv 2022 https://arxiv.org/pdf/2203.07307v1 182817e1ea8cc8a1 data/papers/182817e1ea8cc8a1.pdf data/papers/182817e1ea8cc8a1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A deep learning pipeline for breast cancer ki-67 proliferation index scoring arXiv 2022 https://arxiv.org/pdf/2203.07452v1 be1391b936c0edca data/papers/be1391b936c0edca.pdf data/papers/be1391b936c0edca.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Molecular Subtypes Prediction on Pathological Images with Discriminative Patch Selecting and Multi-Instance Learning arXiv 2022 https://arxiv.org/pdf/2203.07659v1 63bd8ab188868215 data/papers/63bd8ab188868215.pdf data/papers/63bd8ab188868215.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images arXiv 2022 https://arxiv.org/pdf/2203.07707v2 1941351d7c345eac data/papers/1941351d7c345eac.pdf data/papers/1941351d7c345eac.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Deep Learning to Enhance Breast Cancer Detection on Screening Mammography arXiv 2022 https://arxiv.org/pdf/2203.08812v1 1441aaa921185344 data/papers/1441aaa921185344.pdf data/papers/1441aaa921185344.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CausalDeepCENT: Deep Learning for Causal Prediction of Individual Event Times arXiv 2022 https://arxiv.org/pdf/2203.10207v1 743fc0036b9acb57 data/papers/743fc0036b9acb57.pdf data/papers/743fc0036b9acb57.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision arXiv 2022 https://arxiv.org/pdf/2203.10442v1 f2ef206e9629a716 data/papers/f2ef206e9629a716.pdf data/papers/f2ef206e9629a716.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Transparency Strategy-based Data Augmentation Approach for BI-RADS Classification of Mammograms arXiv 2022 https://arxiv.org/pdf/2203.10609v2 09ea20703b3b14e1 data/papers/09ea20703b3b14e1.pdf data/papers/09ea20703b3b14e1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Auto-Encoders arXiv 2022 https://arxiv.org/pdf/2203.10645v2 9c68e75ee6e8cda6 data/papers/9c68e75ee6e8cda6.pdf data/papers/9c68e75ee6e8cda6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Quantitative Comparison between Shannon and Tsallis Havrda Charvat Entropies Applied to Cancer Outcome Prediction arXiv 2022 https://arxiv.org/pdf/2203.11943v1 d4568e93e53a8cce data/papers/d4568e93e53a8cce.pdf data/papers/d4568e93e53a8cce.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification arXiv 2022 https://arxiv.org/pdf/2203.12081v1 029803fc48d1ebc8 data/papers/029803fc48d1ebc8.pdf data/papers/029803fc48d1ebc8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Direct evaluation of progression or regression of disease burden in brain metastatic disease with Deep Neuroevolution arXiv 2022 https://arxiv.org/pdf/2203.12853v1 d6dfd10c35e9f3fe data/papers/d6dfd10c35e9f3fe.pdf data/papers/d6dfd10c35e9f3fe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fast fluorescence lifetime imaging analysis via extreme learning machine arXiv 2022 https://arxiv.org/pdf/2203.13754v1 441aad3e09940bc9 data/papers/441aad3e09940bc9.pdf data/papers/441aad3e09940bc9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis arXiv 2022 https://arxiv.org/pdf/2203.13865v2 ca0d63f0ded912fc data/papers/ca0d63f0ded912fc.pdf data/papers/ca0d63f0ded912fc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation arXiv 2022 https://arxiv.org/pdf/2203.14341v2 0fbedf184ef3fe59 data/papers/0fbedf184ef3fe59.pdf data/papers/0fbedf184ef3fe59.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation arXiv 2022 https://arxiv.org/pdf/2203.15015v1 c6a6111c3474e668 data/papers/c6a6111c3474e668.pdf data/papers/c6a6111c3474e668.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +New pyramidal hybrid textural and deep features based automatic skin cancer classification model: Ensemble DarkNet and textural feature extractor arXiv 2022 https://arxiv.org/pdf/2203.15090v1 e35c9b11f966a20b data/papers/e35c9b11f966a20b.pdf data/papers/e35c9b11f966a20b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI arXiv 2022 https://arxiv.org/pdf/2203.15163v2 03c180b436c1ab2d data/papers/03c180b436c1ab2d.pdf data/papers/03c180b436c1ab2d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review arXiv 2022 https://arxiv.org/pdf/2203.15588v3 7dfbbc198c8c45ff data/papers/7dfbbc198c8c45ff.pdf data/papers/7dfbbc198c8c45ff.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving The Diagnosis of Thyroid Cancer by Machine Learning and Clinical Data arXiv 2022 https://arxiv.org/pdf/2203.15804v1 ec6637b2cbdc0b02 data/papers/ec6637b2cbdc0b02.pdf data/papers/ec6637b2cbdc0b02.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Federated Learning for the Classification of Tumor Infiltrating Lymphocytes arXiv 2022 https://arxiv.org/pdf/2203.16622v2 c1fc0dc15216c91f data/papers/c1fc0dc15216c91f.pdf data/papers/c1fc0dc15216c91f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering arXiv 2022 https://arxiv.org/pdf/2204.01593v2 5929c16a06bd6bb1 data/papers/5929c16a06bd6bb1.pdf data/papers/5929c16a06bd6bb1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging arXiv 2022 https://arxiv.org/pdf/2204.01844v1 b5ff5d7961da47c1 data/papers/b5ff5d7961da47c1.pdf data/papers/b5ff5d7961da47c1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets arXiv 2022 https://arxiv.org/pdf/2204.02275v1 841b834a72973873 data/papers/841b834a72973873.pdf data/papers/841b834a72973873.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data arXiv 2022 https://arxiv.org/pdf/2204.02278v1 db4d7ca13a5f3641 data/papers/db4d7ca13a5f3641.pdf data/papers/db4d7ca13a5f3641.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring arXiv 2022 https://arxiv.org/pdf/2204.03014v2 cc41c9bbfcd1818a data/papers/cc41c9bbfcd1818a.pdf data/papers/cc41c9bbfcd1818a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning-based approach to reveal tumor mutational burden status from whole slide images across multiple cancer types arXiv 2022 https://arxiv.org/pdf/2204.03257v2 8ad257d21521a73e data/papers/8ad257d21521a73e.pdf data/papers/8ad257d21521a73e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Pathology-Based Machine Learning Method to Assist in Epithelial Dysplasia Diagnosis arXiv 2022 https://arxiv.org/pdf/2204.03572v1 dd049272edbedb3d data/papers/dd049272edbedb3d.pdf data/papers/dd049272edbedb3d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Intelligent Sight and Sound: A Chronic Cancer Pain Dataset arXiv 2022 https://arxiv.org/pdf/2204.04214v1 52d6cade1fc17f70 data/papers/52d6cade1fc17f70.pdf data/papers/52d6cade1fc17f70.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Reliable and Explainable AI Model for Solid Pulmonary Nodule Diagnosis arXiv 2022 https://arxiv.org/pdf/2204.04219v1 276e96a533cfc518 data/papers/276e96a533cfc518.pdf data/papers/276e96a533cfc518.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology arXiv 2022 https://arxiv.org/pdf/2204.04516v1 4bbe3604888d1054 data/papers/4bbe3604888d1054.pdf data/papers/4bbe3604888d1054.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology arXiv 2022 https://arxiv.org/pdf/2204.05044v2 dc8cc3a0d6510365 data/papers/dc8cc3a0d6510365.pdf data/papers/dc8cc3a0d6510365.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scalable privacy-preserving cancer type prediction with homomorphic encryption arXiv 2022 https://arxiv.org/pdf/2204.05496v1 ccd968f2e4833378 data/papers/ccd968f2e4833378.pdf data/papers/ccd968f2e4833378.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distributed learning optimisation of Cox models can leak patient data: Risks and solutions arXiv 2022 https://arxiv.org/pdf/2204.05856v1 fe0c8c225428d70f data/papers/fe0c8c225428d70f.pdf data/papers/fe0c8c225428d70f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity arXiv 2022 https://arxiv.org/pdf/2204.06242v2 3bd368df19cbd499 data/papers/3bd368df19cbd499.pdf data/papers/3bd368df19cbd499.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma arXiv 2022 https://arxiv.org/pdf/2204.06455v2 64ac55f5c626ac7d data/papers/64ac55f5c626ac7d.pdf data/papers/64ac55f5c626ac7d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A deep learning algorithm for reducing false positives in screening mammography arXiv 2022 https://arxiv.org/pdf/2204.06671v1 aaff56e868c6f21d data/papers/aaff56e868c6f21d.pdf data/papers/aaff56e868c6f21d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ensuring accurate stain reproduction in deep generative networks for virtual immunohistochemistry arXiv 2022 https://arxiv.org/pdf/2204.06849v1 60b55859312dc4a8 data/papers/60b55859312dc4a8.pdf data/papers/60b55859312dc4a8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rapid 3D Multiparametric Mapping of Brain Metastases with Deep Learning-Based Phase-Sensitive MR Fingerprinting arXiv 2022 https://arxiv.org/pdf/2204.07313v1 2253ac7f115fcbe8 data/papers/2253ac7f115fcbe8.pdf data/papers/2253ac7f115fcbe8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Non-mass Breast Ultrasound Cancer Classification With Knowledge Transfer arXiv 2022 https://arxiv.org/pdf/2204.08478v1 1f6b64f34806ae47 data/papers/1f6b64f34806ae47.pdf data/papers/1f6b64f34806ae47.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Venous Thromboembolism (VTE) prediction arXiv 2022 https://arxiv.org/pdf/2204.09633v2 b22c8f7b1b5ec443 data/papers/b22c8f7b1b5ec443.pdf data/papers/b22c8f7b1b5ec443.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss arXiv 2022 https://arxiv.org/pdf/2204.09782v2 33cdacde156e158f data/papers/33cdacde156e158f.pdf data/papers/33cdacde156e158f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Estimating optimal individualized treatment rules with multistate processes arXiv 2022 https://arxiv.org/pdf/2204.09785v2 01dab680773a086e data/papers/01dab680773a086e.pdf data/papers/01dab680773a086e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Federated Learning Enables Big Data for Rare Cancer Boundary Detection arXiv 2022 https://arxiv.org/pdf/2204.10836v2 ffa7f6da7d23a11d data/papers/ffa7f6da7d23a11d.pdf data/papers/ffa7f6da7d23a11d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification arXiv 2022 https://arxiv.org/pdf/2204.10942v2 9001b861ecd09fed data/papers/9001b861ecd09fed.pdf data/papers/9001b861ecd09fed.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transformation Invariant Cancerous Tissue Classification Using Spatially Transformed DenseNet arXiv 2022 https://arxiv.org/pdf/2204.11066v1 81f05450fb2a1ead data/papers/81f05450fb2a1ead.pdf data/papers/81f05450fb2a1ead.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Colorectal cancer survival prediction using deep distribution based multiple-instance learning arXiv 2022 https://arxiv.org/pdf/2204.11294v2 2bce918d9f4d2a86 data/papers/2bce918d9f4d2a86.pdf data/papers/2bce918d9f4d2a86.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning arXiv 2022 https://arxiv.org/pdf/2204.11433v1 3352c9a0a0d6ed84 data/papers/3352c9a0a0d6ed84.pdf data/papers/3352c9a0a0d6ed84.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Real-time Scientific Experiments Using Transformer models and Reinforcement Learning arXiv 2022 https://arxiv.org/pdf/2204.11718v1 cd23481615bf72a9 data/papers/cd23481615bf72a9.pdf data/papers/cd23481615bf72a9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging arXiv 2022 https://arxiv.org/pdf/2204.11850v1 fd1a39bbcc9a3664 data/papers/fd1a39bbcc9a3664.pdf data/papers/fd1a39bbcc9a3664.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrastive learning-based computational histopathology predict differential expression of cancer driver genes arXiv 2022 https://arxiv.org/pdf/2204.11994v2 32ffe261b709c00e data/papers/32ffe261b709c00e.pdf data/papers/32ffe261b709c00e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Confidence Band Estimation for Survival Random Forests arXiv 2022 https://arxiv.org/pdf/2204.12038v1 0a1a7b3cdcf96fd7 data/papers/0a1a7b3cdcf96fd7.pdf data/papers/0a1a7b3cdcf96fd7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images arXiv 2022 https://arxiv.org/pdf/2204.12077v3 685ecf5893d32d21 data/papers/685ecf5893d32d21.pdf data/papers/685ecf5893d32d21.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy arXiv 2022 https://arxiv.org/pdf/2204.12423v1 76a6ad57879a74a6 data/papers/76a6ad57879a74a6.pdf data/papers/76a6ad57879a74a6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automation of Radiation Treatment Planning for Rectal Cancer arXiv 2022 https://arxiv.org/pdf/2204.12539v2 bece0cf72adafa24 data/papers/bece0cf72adafa24.pdf data/papers/bece0cf72adafa24.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Understanding the impact of image and input resolution on deep digital pathology patch classifiers arXiv 2022 https://arxiv.org/pdf/2204.13829v1 c259166838a696c9 data/papers/c259166838a696c9.pdf data/papers/c259166838a696c9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma arXiv 2022 https://arxiv.org/pdf/2204.13838v1 983b0266233f46c1 data/papers/983b0266233f46c1.pdf data/papers/983b0266233f46c1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection arXiv 2022 https://arxiv.org/pdf/2205.00122v1 8df64c13b5a79b95 data/papers/8df64c13b5a79b95.pdf data/papers/8df64c13b5a79b95.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer arXiv 2022 https://arxiv.org/pdf/2205.01674v1 f8b9c9b0dd7063c6 data/papers/f8b9c9b0dd7063c6.pdf data/papers/f8b9c9b0dd7063c6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Effect of Random Histogram Equalization on Breast Calcification Analysis Using Deep Learning arXiv 2022 https://arxiv.org/pdf/2205.01684v1 13f6c9818fa2c41c data/papers/13f6c9818fa2c41c.pdf data/papers/13f6c9818fa2c41c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation arXiv 2022 https://arxiv.org/pdf/2205.01777v2 ea82110e1181765a data/papers/ea82110e1181765a.pdf data/papers/ea82110e1181765a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides arXiv 2022 https://arxiv.org/pdf/2205.01931v3 bdc9c8e55c6393c6 data/papers/bdc9c8e55c6393c6.pdf data/papers/bdc9c8e55c6393c6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +High-Dimensional Survival Analysis: Methods and Applications arXiv 2022 https://arxiv.org/pdf/2205.02948v1 6cd8f69d68e08e70 data/papers/6cd8f69d68e08e70.pdf data/papers/6cd8f69d68e08e70.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI arXiv 2022 https://arxiv.org/pdf/2205.04044v1 48cabf2d6a61a4f3 data/papers/48cabf2d6a61a4f3.pdf data/papers/48cabf2d6a61a4f3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RCMNet: A deep learning model assists CAR-T therapy for leukemia arXiv 2022 https://arxiv.org/pdf/2205.04230v1 61fd044ec316d2eb data/papers/61fd044ec316d2eb.pdf data/papers/61fd044ec316d2eb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TGANet: Text-guided attention for improved polyp segmentation arXiv 2022 https://arxiv.org/pdf/2205.04280v1 bac74291de7de3d7 data/papers/bac74291de7de3d7.pdf data/papers/bac74291de7de3d7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep fusion of gray level co-occurrence matrices for lung nodule classification arXiv 2022 https://arxiv.org/pdf/2205.05123v2 c86a28e2bf574c0a data/papers/c86a28e2bf574c0a.pdf data/papers/c86a28e2bf574c0a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation arXiv 2022 https://arxiv.org/pdf/2205.05898v1 260ff7ac626b8cce data/papers/260ff7ac626b8cce.pdf data/papers/260ff7ac626b8cce.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction arXiv 2022 https://arxiv.org/pdf/2205.06672v2 0474dcb53c8e5b0f data/papers/0474dcb53c8e5b0f.pdf data/papers/0474dcb53c8e5b0f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of anatomic structures in head and neck by CT-based radiomics arXiv 2022 https://arxiv.org/pdf/2205.08054v1 ac81ba8a85c8008e data/papers/ac81ba8a85c8008e.pdf data/papers/ac81ba8a85c8008e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images arXiv 2022 https://arxiv.org/pdf/2205.08390v2 d8ab2d4972b4c944 data/papers/d8ab2d4972b4c944.pdf data/papers/d8ab2d4972b4c944.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer arXiv 2022 https://arxiv.org/pdf/2205.08467v1 3a79dadb16d8b32b data/papers/3a79dadb16d8b32b.pdf data/papers/3a79dadb16d8b32b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transformer based multiple instance learning for weakly supervised histopathology image segmentation arXiv 2022 https://arxiv.org/pdf/2205.08878v1 6c2fef9beab832c3 data/papers/6c2fef9beab832c3.pdf data/papers/6c2fef9beab832c3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Scalable Workflow to Build Machine Learning Classifiers with Clinician-in-the-Loop to Identify Patients in Specific Diseases arXiv 2022 https://arxiv.org/pdf/2205.08891v1 a0201311eda03acd data/papers/a0201311eda03acd.pdf data/papers/a0201311eda03acd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Slim: interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology arXiv 2022 https://arxiv.org/pdf/2205.09122v2 306eb83a7337a7cc data/papers/306eb83a7337a7cc.pdf data/papers/306eb83a7337a7cc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging mid-infrared spectroscopic imaging and deep learning for tissue subtype classification in ovarian cancer arXiv 2022 https://arxiv.org/pdf/2205.09285v2 7bc157e97d9bae3a data/papers/7bc157e97d9bae3a.pdf data/papers/7bc157e97d9bae3a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A graph-transformer for whole slide image classification arXiv 2022 https://arxiv.org/pdf/2205.09671v1 811e218a40777931 data/papers/811e218a40777931.pdf data/papers/811e218a40777931.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering arXiv 2022 https://arxiv.org/pdf/2205.09721v1 e2f898c62634b2a6 data/papers/e2f898c62634b2a6.pdf data/papers/e2f898c62634b2a6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome arXiv 2022 https://arxiv.org/pdf/2205.09906v1 cf7a588ecd27268b data/papers/cf7a588ecd27268b.pdf data/papers/cf7a588ecd27268b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Visualizing CoAtNet Predictions for Aiding Melanoma Detection arXiv 2022 https://arxiv.org/pdf/2205.10515v1 34a6a825d9627d09 data/papers/34a6a825d9627d09.pdf data/papers/34a6a825d9627d09.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Pilot Study of Relating MYCN-Gene Amplification with Neuroblastoma-Patient CT Scans arXiv 2022 https://arxiv.org/pdf/2205.10619v1 aaaa18569eea87e9 data/papers/aaaa18569eea87e9.pdf data/papers/aaaa18569eea87e9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Producing Histopathology Phantom Images using Generative Adversarial Networks to improve Tumor Detection arXiv 2022 https://arxiv.org/pdf/2205.10691v2 5276cc5c85cf15cc data/papers/5276cc5c85cf15cc.pdf data/papers/5276cc5c85cf15cc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PCA-Boosted Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes arXiv 2022 https://arxiv.org/pdf/2205.11673v1 dd531f13522e657e data/papers/dd531f13522e657e.pdf data/papers/dd531f13522e657e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated WBRT Treatment Planning via Deep Learning Auto-Contouring and Customizable Landmark-Based Field Aperture Design arXiv 2022 https://arxiv.org/pdf/2205.12189v1 db0c15b344e80732 data/papers/db0c15b344e80732.pdf data/papers/db0c15b344e80732.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes arXiv 2022 https://arxiv.org/pdf/2205.12611v1 324c73d7a5b33e32 data/papers/324c73d7a5b33e32.pdf data/papers/324c73d7a5b33e32.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer arXiv 2022 https://arxiv.org/pdf/2205.12843v1 bfec84a24b6d72b6 data/papers/bfec84a24b6d72b6.pdf data/papers/bfec84a24b6d72b6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Acute Lymphoblastic Leukemia Detection Using Hypercomplex-Valued Convolutional Neural Networks arXiv 2022 https://arxiv.org/pdf/2205.13273v1 5a5d43daaba30ada data/papers/5a5d43daaba30ada.pdf data/papers/5a5d43daaba30ada.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Counterfactual Analysis in Dynamic Latent State Models arXiv 2022 https://arxiv.org/pdf/2205.13832v4 4d5bbe13ff396198 data/papers/4d5bbe13ff396198.pdf data/papers/4d5bbe13ff396198.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Zero-Shot and Few-Shot Learning for Lung Cancer Multi-Label Classification using Vision Transformer arXiv 2022 https://arxiv.org/pdf/2205.15290v2 35b56bde91baac55 data/papers/35b56bde91baac55.pdf data/papers/35b56bde91baac55.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps arXiv 2022 https://arxiv.org/pdf/2205.15413v1 e8505163301d6ed7 data/papers/e8505163301d6ed7.pdf data/papers/e8505163301d6ed7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets arXiv 2022 https://arxiv.org/pdf/2205.15442v1 6f528a6bce69de1b data/papers/6f528a6bce69de1b.pdf data/papers/6f528a6bce69de1b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FHIST: A Benchmark for Few-shot Classification of Histological Images arXiv 2022 https://arxiv.org/pdf/2206.00092v1 2122461f6e0f0565 data/papers/2122461f6e0f0565.pdf data/papers/2122461f6e0f0565.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Survey on Deep Learning for Skin Lesion Segmentation arXiv 2022 https://arxiv.org/pdf/2206.00356v3 cf0884273a043b91 data/papers/cf0884273a043b91.pdf data/papers/cf0884273a043b91.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations arXiv 2022 https://arxiv.org/pdf/2206.00455v1 9e9f710d416d07d9 data/papers/9e9f710d416d07d9.pdf data/papers/9e9f710d416d07d9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron arXiv 2022 https://arxiv.org/pdf/2206.00971v1 db3aa98718ebf887 data/papers/db3aa98718ebf887.pdf data/papers/db3aa98718ebf887.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning-based Lung and Colon Cancer Detection using Deep Feature Extraction and Ensemble Learning arXiv 2022 https://arxiv.org/pdf/2206.01088v2 520e62c7044804a8 data/papers/520e62c7044804a8.pdf data/papers/520e62c7044804a8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology arXiv 2022 https://arxiv.org/pdf/2206.01794v2 be8b6071f046eb66 data/papers/be8b6071f046eb66.pdf data/papers/be8b6071f046eb66.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Image Data collection and implementation of deep learning-based model in detecting Monkeypox disease using modified VGG16 arXiv 2022 https://arxiv.org/pdf/2206.01862v1 e28e312172224ef4 data/papers/e28e312172224ef4.pdf data/papers/e28e312172224ef4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modeling of Textures to Predict Immune Cell Status and Survival of Brain Tumour Patients arXiv 2022 https://arxiv.org/pdf/2206.01897v1 c2190b79221e6359 data/papers/c2190b79221e6359.pdf data/papers/c2190b79221e6359.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning arXiv 2022 https://arxiv.org/pdf/2206.02647v1 ed5bc34755ac5bcb data/papers/ed5bc34755ac5bcb.pdf data/papers/ed5bc34755ac5bcb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HMRNet: High and Multi-Resolution Network with Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy arXiv 2022 https://arxiv.org/pdf/2206.02959v1 53079c445c9a376f data/papers/53079c445c9a376f.pdf data/papers/53079c445c9a376f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pancreatic Cancer ROSE Image Classification Based on Multiple Instance Learning with Shuffle Instances arXiv 2022 https://arxiv.org/pdf/2206.03080v1 20937a467e767bac data/papers/20937a467e767bac.pdf data/papers/20937a467e767bac.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Future Artificial Intelligence tools and perspectives in medicine arXiv 2022 https://arxiv.org/pdf/2206.03289v1 f128a9d7612769f1 data/papers/f128a9d7612769f1.pdf data/papers/f128a9d7612769f1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach arXiv 2022 https://arxiv.org/pdf/2206.03368v1 8182514da4a4a5a4 data/papers/8182514da4a4a5a4.pdf data/papers/8182514da4a4a5a4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction arXiv 2022 https://arxiv.org/pdf/2206.03555v1 eda81a0eab5d569d data/papers/eda81a0eab5d569d.pdf data/papers/eda81a0eab5d569d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Improved Deep Convolutional Neural Network by Using Hybrid Optimization Algorithms to Detect and Classify Brain Tumor Using Augmented MRI Images arXiv 2022 https://arxiv.org/pdf/2206.04056v1 a0a44291ab94caa7 data/papers/a0a44291ab94caa7.pdf data/papers/a0a44291ab94caa7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology arXiv 2022 https://arxiv.org/pdf/2206.05617v1 9f6360261bb064c8 data/papers/9f6360261bb064c8.pdf data/papers/9f6360261bb064c8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model arXiv 2022 https://arxiv.org/pdf/2206.05695v1 c469424a891878aa data/papers/c469424a891878aa.pdf data/papers/c469424a891878aa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DSCA: A Dual-Stream Network with Cross-Attention on Whole-Slide Image Pyramids for Cancer Prognosis arXiv 2022 https://arxiv.org/pdf/2206.05782v4 70bf1b7ac1ea72ac data/papers/70bf1b7ac1ea72ac.pdf data/papers/70bf1b7ac1ea72ac.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prostate Cancer Malignancy Detection and localization from mpMRI using auto-Deep Learning: One Step Closer to Clinical Utilization arXiv 2022 https://arxiv.org/pdf/2206.06235v1 45b9e0b98e215e55 data/papers/45b9e0b98e215e55.pdf data/papers/45b9e0b98e215e55.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network arXiv 2022 https://arxiv.org/pdf/2206.06264v2 d8360922061081a8 data/papers/d8360922061081a8.pdf data/papers/d8360922061081a8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment arXiv 2022 https://arxiv.org/pdf/2206.06623v1 92f8d23b68aeb45e data/papers/92f8d23b68aeb45e.pdf data/papers/92f8d23b68aeb45e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluating histopathology transfer learning with ChampKit arXiv 2022 https://arxiv.org/pdf/2206.06862v1 e0f6398369f92f96 data/papers/e0f6398369f92f96.pdf data/papers/e0f6398369f92f96.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images arXiv 2022 https://arxiv.org/pdf/2206.07599v1 89660f2ac515122d data/papers/89660f2ac515122d.pdf data/papers/89660f2ac515122d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rank the triplets: A ranking-based multiple instance learning framework for detecting HPV infection in head and neck cancers using routine H&E images arXiv 2022 https://arxiv.org/pdf/2206.08275v1 3941f8423e363228 data/papers/3941f8423e363228.pdf data/papers/3941f8423e363228.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network arXiv 2022 https://arxiv.org/pdf/2206.08298v1 10f68454f37b3f26 data/papers/10f68454f37b3f26.pdf data/papers/10f68454f37b3f26.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deepfake histological images for enhancing digital pathology arXiv 2022 https://arxiv.org/pdf/2206.08308v1 8629dcea696c5019 data/papers/8629dcea696c5019.pdf data/papers/8629dcea696c5019.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology arXiv 2022 https://arxiv.org/pdf/2206.08439v2 3c3a0163f4cdf6cb data/papers/3c3a0163f4cdf6cb.pdf data/papers/3c3a0163f4cdf6cb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading arXiv 2022 https://arxiv.org/pdf/2206.08787v1 ab886edede6d4e21 data/papers/ab886edede6d4e21.pdf data/papers/ab886edede6d4e21.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation in Histology Images arXiv 2022 https://arxiv.org/pdf/2206.08791v1 13f28fba0f70d66e data/papers/13f28fba0f70d66e.pdf data/papers/13f28fba0f70d66e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging arXiv 2022 https://arxiv.org/pdf/2206.08833v1 36dca2e746543bfd data/papers/36dca2e746543bfd.pdf data/papers/36dca2e746543bfd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification arXiv 2022 https://arxiv.org/pdf/2206.08861v1 80554356c999757a data/papers/80554356c999757a.pdf data/papers/80554356c999757a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation arXiv 2022 https://arxiv.org/pdf/2206.08985v1 479933e68ecf0200 data/papers/479933e68ecf0200.pdf data/papers/479933e68ecf0200.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Combined PCA-MLP Network for Early Breast Cancer Detection arXiv 2022 https://arxiv.org/pdf/2206.09128v1 78599f8a3127c53c data/papers/78599f8a3127c53c.pdf data/papers/78599f8a3127c53c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks arXiv 2022 https://arxiv.org/pdf/2206.09333v3 b213f8b62eda2762 data/papers/b213f8b62eda2762.pdf data/papers/b213f8b62eda2762.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms arXiv 2022 https://arxiv.org/pdf/2206.10096v1 88afc6d7ef1e2751 data/papers/88afc6d7ef1e2751.pdf data/papers/88afc6d7ef1e2751.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images arXiv 2022 https://arxiv.org/pdf/2206.10531v1 28ce482a9b6b02a4 data/papers/28ce482a9b6b02a4.pdf data/papers/28ce482a9b6b02a4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Metareview-informed Explainable Cytokine Storm Detection during CAR-T cell Therapy arXiv 2022 https://arxiv.org/pdf/2206.10612v1 8c3463cef4a2e81d data/papers/8c3463cef4a2e81d.pdf data/papers/8c3463cef4a2e81d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Omic Data Integration and Feature Selection for Survival-based Patient Stratification via Supervised Concrete Autoencoders arXiv 2022 https://arxiv.org/pdf/2206.10699v2 5fdead8d4cdc74ad data/papers/5fdead8d4cdc74ad.pdf data/papers/5fdead8d4cdc74ad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization arXiv 2022 https://arxiv.org/pdf/2206.10801v3 f70e4f5b3fbd542c data/papers/f70e4f5b3fbd542c.pdf data/papers/f70e4f5b3fbd542c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep reinforcement learning for fMRI prediction of Autism Spectrum Disorder arXiv 2022 https://arxiv.org/pdf/2206.11224v1 c7dd6697f46dd315 data/papers/c7dd6697f46dd315.pdf data/papers/c7dd6697f46dd315.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Three Applications of Conformal Prediction for Rating Breast Density in Mammography arXiv 2022 https://arxiv.org/pdf/2206.12008v1 e32cf1327b045288 data/papers/e32cf1327b045288.pdf data/papers/e32cf1327b045288.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation arXiv 2022 https://arxiv.org/pdf/2206.14437v1 b7e679b0f96ca0f1 data/papers/b7e679b0f96ca0f1.pdf data/papers/b7e679b0f96ca0f1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computer-aided diagnosis and prediction in brain disorders arXiv 2022 https://arxiv.org/pdf/2206.14683v2 e8e23ae7a79e149c data/papers/e8e23ae7a79e149c.pdf data/papers/e8e23ae7a79e149c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction arXiv 2022 https://arxiv.org/pdf/2206.14903v1 c106993fb1ac1c6f data/papers/c106993fb1ac1c6f.pdf data/papers/c106993fb1ac1c6f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning Approaches to Predict Breast Cancer: Bangladesh Perspective arXiv 2022 https://arxiv.org/pdf/2206.14972v1 7fa42a199c4fdbeb data/papers/7fa42a199c4fdbeb.pdf data/papers/7fa42a199c4fdbeb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology arXiv 2022 https://arxiv.org/pdf/2207.00095v2 21533ca34cfc4d19 data/papers/21533ca34cfc4d19.pdf data/papers/21533ca34cfc4d19.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos arXiv 2022 https://arxiv.org/pdf/2207.00141v1 0a0e062ed9562c7e data/papers/0a0e062ed9562c7e.pdf data/papers/0a0e062ed9562c7e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data arXiv 2022 https://arxiv.org/pdf/2207.00812v3 89574bb707f3122a data/papers/89574bb707f3122a.pdf data/papers/89574bb707f3122a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images arXiv 2022 https://arxiv.org/pdf/2207.01623v1 224b583450ed2d88 data/papers/224b583450ed2d88.pdf data/papers/224b583450ed2d88.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-based Photometric Image Enhancement Models arXiv 2022 https://arxiv.org/pdf/2207.02396v1 778eeb43a79af4a1 data/papers/778eeb43a79af4a1.pdf data/papers/778eeb43a79af4a1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Perfusion imaging in deep prostate cancer detection from mp-MRI: can we take advantage of it? arXiv 2022 https://arxiv.org/pdf/2207.02854v1 b1a3e021bdbba8de data/papers/b1a3e021bdbba8de.pdf data/papers/b1a3e021bdbba8de.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Expert-Guided Inverse Optimization for Convex Constraint Inference arXiv 2022 https://arxiv.org/pdf/2207.02894v3 cccf9111fa1a2b38 data/papers/cccf9111fa1a2b38.pdf data/papers/cccf9111fa1a2b38.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards the Practical Utility of Federated Learning in the Medical Domain arXiv 2022 https://arxiv.org/pdf/2207.03075v5 d54168175bfead4c data/papers/d54168175bfead4c.pdf data/papers/d54168175bfead4c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +What Makes for Automatic Reconstruction of Pulmonary Segments arXiv 2022 https://arxiv.org/pdf/2207.03078v3 a1e0ee8856859f5e data/papers/a1e0ee8856859f5e.pdf data/papers/a1e0ee8856859f5e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Attribute Attention Network for Interpretable Diagnosis of Thyroid Nodules in Ultrasound Images arXiv 2022 https://arxiv.org/pdf/2207.04219v1 f56828db87e7dd5b data/papers/f56828db87e7dd5b.pdf data/papers/f56828db87e7dd5b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Emerging Patterns in the Continuum Representation of Protein-Lipid Fingerprints arXiv 2022 https://arxiv.org/pdf/2207.04333v1 89996fc4c24231e5 data/papers/89996fc4c24231e5.pdf data/papers/89996fc4c24231e5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TCR: A Transformer Based Deep Network for Predicting Cancer Drugs Response arXiv 2022 https://arxiv.org/pdf/2207.04457v1 80e29cf396f544b3 data/papers/80e29cf396f544b3.pdf data/papers/80e29cf396f544b3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Study Boosting: Theoretical Considerations for Merging vs. Ensembling arXiv 2022 https://arxiv.org/pdf/2207.04588v2 6071c62f206f3e2c data/papers/6071c62f206f3e2c.pdf data/papers/6071c62f206f3e2c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival Prediction arXiv 2022 https://arxiv.org/pdf/2207.04878v1 d48ec99a351b5773 data/papers/d48ec99a351b5773.pdf data/papers/d48ec99a351b5773.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI arXiv 2022 https://arxiv.org/pdf/2207.05056v1 8bc4ef11e0e08311 data/papers/8bc4ef11e0e08311.pdf data/papers/8bc4ef11e0e08311.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Histopathological Imaging Classification of Breast Tissue for Cancer Diagnosis Support Using Deep Learning Models arXiv 2022 https://arxiv.org/pdf/2207.05057v1 62af365f845db78b data/papers/62af365f845db78b.pdf data/papers/62af365f845db78b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Highly Expressive Machine Learning Models of Non-Melanoma Skin Cancer arXiv 2022 https://arxiv.org/pdf/2207.05749v1 b17d95d09e57964a data/papers/b17d95d09e57964a.pdf data/papers/b17d95d09e57964a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of the motion of chest internal points using a recurrent neural network trained with real-time recurrent learning for latency compensation in lung cancer radiotherapy arXiv 2022 https://arxiv.org/pdf/2207.05951v1 c6c9443ff1f6b1df data/papers/c6c9443ff1f6b1df.pdf data/papers/c6c9443ff1f6b1df.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration arXiv 2022 https://arxiv.org/pdf/2207.06189v2 7cc1c770e55a0f58 data/papers/7cc1c770e55a0f58.pdf data/papers/7cc1c770e55a0f58.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving the diagnosis of breast cancer based on biophysical ultrasound features utilizing machine learning arXiv 2022 https://arxiv.org/pdf/2207.06560v1 ab1a7f26043953ae data/papers/ab1a7f26043953ae.pdf data/papers/ab1a7f26043953ae.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Early Detection of Ovarian Cancer by Wavelet Analysis of Protein Mass Spectra arXiv 2022 https://arxiv.org/pdf/2207.07028v1 c11d83d8e7417339 data/papers/c11d83d8e7417339.pdf data/papers/c11d83d8e7417339.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning to Generate Adjustable Dose Distributions in Head-and-Neck Cancer Radiation Therapy arXiv 2022 https://arxiv.org/pdf/2207.07168v1 4975f95473235303 data/papers/4975f95473235303.pdf data/papers/4975f95473235303.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video arXiv 2022 https://arxiv.org/pdf/2207.07759v3 8007dc20f2a409c7 data/papers/8007dc20f2a409c7.pdf data/papers/8007dc20f2a409c7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gigapixel Whole-Slide Images Classification using Locally Supervised Learning arXiv 2022 https://arxiv.org/pdf/2207.08267v2 cfb2dfd65e9cb3f1 data/papers/cfb2dfd65e9cb3f1.pdf data/papers/cfb2dfd65e9cb3f1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures arXiv 2022 https://arxiv.org/pdf/2207.09483v1 7621b5f253612de5 data/papers/7621b5f253612de5.pdf data/papers/7621b5f253612de5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Knowledge distillation with a class-aware loss for endoscopic disease detection arXiv 2022 https://arxiv.org/pdf/2207.09530v1 7f1e8fdbecc8e02b data/papers/7f1e8fdbecc8e02b.pdf data/papers/7f1e8fdbecc8e02b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lesion detection in contrast enhanced spectral mammography arXiv 2022 https://arxiv.org/pdf/2207.09692v1 c8cfcb506adf024f data/papers/c8cfcb506adf024f.pdf data/papers/c8cfcb506adf024f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder arXiv 2022 https://arxiv.org/pdf/2207.09783v1 7b82317b6a134e7a data/papers/7b82317b6a134e7a.pdf data/papers/7b82317b6a134e7a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound arXiv 2022 https://arxiv.org/pdf/2207.10485v1 7497e00fc9da4f3b data/papers/7497e00fc9da4f3b.pdf data/papers/7497e00fc9da4f3b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Strategising template-guided needle placement for MR-targeted prostate biopsy arXiv 2022 https://arxiv.org/pdf/2207.10784v1 35407ed27b3dca4e data/papers/35407ed27b3dca4e.pdf data/papers/35407ed27b3dca4e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Large-Kernel Attention for 3D Medical Image Segmentation arXiv 2022 https://arxiv.org/pdf/2207.11225v1 7d6681c45c6f698b data/papers/7d6681c45c6f698b.pdf data/papers/7d6681c45c6f698b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Hyperparameter Optimization for Breast Mass Detection in Mammograms arXiv 2022 https://arxiv.org/pdf/2207.11244v1 38659117f470f519 data/papers/38659117f470f519.pdf data/papers/38659117f470f519.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accelerated and Quantitative 3D Semisolid MT/CEST Imaging using a Generative Adversarial Network (GAN-CEST) arXiv 2022 https://arxiv.org/pdf/2207.11297v2 0a73198132c08325 data/papers/0a73198132c08325.pdf data/papers/0a73198132c08325.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Inference of Regulatory Networks Through Temporally Sparse Data arXiv 2022 https://arxiv.org/pdf/2207.12124v1 cae8e434c1ced22c data/papers/cae8e434c1ced22c.pdf data/papers/cae8e434c1ced22c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-Modality Image Registration using a Training-Time Privileged Third Modality arXiv 2022 https://arxiv.org/pdf/2207.12901v1 27fe3ce711458cd0 data/papers/27fe3ce711458cd0.pdf data/papers/27fe3ce711458cd0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient High-Resolution Deep Learning: A Survey arXiv 2022 https://arxiv.org/pdf/2207.13050v2 3f89aa874e74d2f9 data/papers/3f89aa874e74d2f9.pdf data/papers/3f89aa874e74d2f9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction arXiv 2022 https://arxiv.org/pdf/2207.14238v1 c0ef6763f05fa9ab data/papers/c0ef6763f05fa9ab.pdf data/papers/c0ef6763f05fa9ab.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Subtype-Former: a deep learning approach for cancer subtype discovery with multi-omics data arXiv 2022 https://arxiv.org/pdf/2207.14639v1 cba0eaf401a6f5c2 data/papers/cba0eaf401a6f5c2.pdf data/papers/cba0eaf401a6f5c2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Outcome Adaptive Propensity Score Methods for Handling Censoring and High-Dimensionality: Application to Insurance Claims arXiv 2022 https://arxiv.org/pdf/2208.00114v1 374437b5fcd4f94f data/papers/374437b5fcd4f94f.pdf data/papers/374437b5fcd4f94f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Enhanced Deep Learning Technique for Prostate Cancer Identification Based on MRI Scans arXiv 2022 https://arxiv.org/pdf/2208.00583v1 69cc9cf00a487b66 data/papers/69cc9cf00a487b66.pdf data/papers/69cc9cf00a487b66.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Classification Based on Histopathological Images Using a Deep Learning Capsule Network arXiv 2022 https://arxiv.org/pdf/2208.00594v1 884aafdb63a4881d data/papers/884aafdb63a4881d.pdf data/papers/884aafdb63a4881d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lung nodules segmentation from CT with DeepHealth toolkit arXiv 2022 https://arxiv.org/pdf/2208.00641v1 117684a3a31bbe22 data/papers/117684a3a31bbe22.pdf data/papers/117684a3a31bbe22.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bayesian Variable Selection in a Million Dimensions arXiv 2022 https://arxiv.org/pdf/2208.01180v2 6cb28fa98d7a1d50 data/papers/6cb28fa98d7a1d50.pdf data/papers/6cb28fa98d7a1d50.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Empirical Study of Overfitting in Deep FNN Prediction Models for Breast Cancer Metastasis arXiv 2022 https://arxiv.org/pdf/2208.02150v1 cb565df4e9fb7283 data/papers/cb565df4e9fb7283.pdf data/papers/cb565df4e9fb7283.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning and Health Informatics for Smart Monitoring and Diagnosis arXiv 2022 https://arxiv.org/pdf/2208.03143v1 fc4a409b72f445e6 data/papers/fc4a409b72f445e6.pdf data/papers/fc4a409b72f445e6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions arXiv 2022 https://arxiv.org/pdf/2208.03392v5 9d6fe03070ec5896 data/papers/9d6fe03070ec5896.pdf data/papers/9d6fe03070ec5896.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Adaptive and Altruistic PSO-based Deep Feature Selection Method for Pneumonia Detection from Chest X-Rays arXiv 2022 https://arxiv.org/pdf/2208.03558v1 41eb501876b48480 data/papers/41eb501876b48480.pdf data/papers/41eb501876b48480.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features arXiv 2022 https://arxiv.org/pdf/2208.03581v1 8786e1d78d3d5d3a data/papers/8786e1d78d3d5d3a.pdf data/papers/8786e1d78d3d5d3a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Continual Learning for Tumor Classification in Histopathology Images arXiv 2022 https://arxiv.org/pdf/2208.03609v1 f7b2db6aaccdefa9 data/papers/f7b2db6aaccdefa9.pdf data/papers/f7b2db6aaccdefa9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sample hardness based gradient loss for long-tailed cervical cell detection arXiv 2022 https://arxiv.org/pdf/2208.03779v1 2dc92cb12ec4c73c data/papers/2dc92cb12ec4c73c.pdf data/papers/2dc92cb12ec4c73c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advances of Artificial Intelligence in Classical and Novel Spectroscopy-Based Approaches for Cancer Diagnostics. A Review arXiv 2022 https://arxiv.org/pdf/2208.04008v1 1b81490d9136b569 data/papers/1b81490d9136b569.pdf data/papers/1b81490d9136b569.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Review of Machine Learning and Algorithmic Methods for Protein Phosphorylation Sites Prediction arXiv 2022 https://arxiv.org/pdf/2208.04311v1 2f174f8c02560920 data/papers/2f174f8c02560920.pdf data/papers/2f174f8c02560920.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning arXiv 2022 https://arxiv.org/pdf/2208.04314v1 05f69d4c6ebf8dc5 data/papers/05f69d4c6ebf8dc5.pdf data/papers/05f69d4c6ebf8dc5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows arXiv 2022 https://arxiv.org/pdf/2208.04639v2 ffb396042d6db825 data/papers/ffb396042d6db825.pdf data/papers/ffb396042d6db825.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Neural Network for Lung Cancer Classification: Enhanced Optimization Function arXiv 2022 https://arxiv.org/pdf/2208.06353v1 2438587b4b29cea3 data/papers/2438587b4b29cea3.pdf data/papers/2438587b4b29cea3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CCRL: Contrastive Cell Representation Learning arXiv 2022 https://arxiv.org/pdf/2208.06445v2 2d530c8046b272b7 data/papers/2d530c8046b272b7.pdf data/papers/2d530c8046b272b7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning for Size and Microscope Feature Extraction and Classification in Oral Cancer: Enhanced Convolution Neural Network arXiv 2022 https://arxiv.org/pdf/2208.07855v1 f55c5059b6f5d254 data/papers/f55c5059b6f5d254.pdf data/papers/f55c5059b6f5d254.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Novel Deep Learning Approach to Derive Cytokeratin Expression and Epithelium Segmentation from DAPI arXiv 2022 https://arxiv.org/pdf/2208.08284v1 9b4d564cbe411515 data/papers/9b4d564cbe411515.pdf data/papers/9b4d564cbe411515.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FCN-Transformer Feature Fusion for Polyp Segmentation arXiv 2022 https://arxiv.org/pdf/2208.08352v1 eeb027aaa7afe580 data/papers/eeb027aaa7afe580.pdf data/papers/eeb027aaa7afe580.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Estimating Sunlight Using GNSS Signal Strength from Smartphone arXiv 2022 https://arxiv.org/pdf/2208.08858v1 87939e920decb681 data/papers/87939e920decb681.pdf data/papers/87939e920decb681.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Detection of Acute Lymphoblastic Leukemia Subtypes from Microscopic Blood Smear Images using Deep Neural Networks arXiv 2022 https://arxiv.org/pdf/2208.08992v1 62ac053a72bed06d data/papers/62ac053a72bed06d.pdf data/papers/62ac053a72bed06d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Bayesian Nonnegative Matrix Factorization with Implicit Regularizers arXiv 2022 https://arxiv.org/pdf/2208.10053v1 26f2f5f84f824562 data/papers/26f2f5f84f824562.pdf data/papers/26f2f5f84f824562.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reversing Skin Cancer Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism arXiv 2022 https://arxiv.org/pdf/2208.10373v3 bf2e2291aac3c2e3 data/papers/bf2e2291aac3c2e3.pdf data/papers/bf2e2291aac3c2e3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA predictive performance with fewer data using Swin Transformer arXiv 2022 https://arxiv.org/pdf/2208.10495v2 4de3ecdce825b3b2 data/papers/4de3ecdce825b3b2.pdf data/papers/4de3ecdce825b3b2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Automatic Labeling and Semantic Segmentation of Gram-Stained Microscopic Images from DIBaS Dataset arXiv 2022 https://arxiv.org/pdf/2208.10737v1 e45bce4205c49bf6 data/papers/e45bce4205c49bf6.pdf data/papers/e45bce4205c49bf6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification arXiv 2022 https://arxiv.org/pdf/2208.11052v1 35bc67701cc76ebb data/papers/35bc67701cc76ebb.pdf data/papers/35bc67701cc76ebb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Airway Orifice Segmentation in Video Bronchoscopy arXiv 2022 https://arxiv.org/pdf/2208.11468v1 247ef1c2ef3ce117 data/papers/247ef1c2ef3ce117.pdf data/papers/247ef1c2ef3ce117.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prognostic Significance of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images in Colorectal Cancers arXiv 2022 https://arxiv.org/pdf/2208.11518v3 ca52cf919f447407 data/papers/ca52cf919f447407.pdf data/papers/ca52cf919f447407.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prostate Lesion Detection and Salient Feature Assessment Using Zone-Based Classifiers arXiv 2022 https://arxiv.org/pdf/2208.11522v1 517c5c7de4c7ffa7 data/papers/517c5c7de4c7ffa7.pdf data/papers/517c5c7de4c7ffa7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Calibrated Selective Classification arXiv 2022 https://arxiv.org/pdf/2208.12084v2 da436303b5906fef data/papers/da436303b5906fef.pdf data/papers/da436303b5906fef.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A survey, review, and future trends of skin lesion segmentation and classification arXiv 2022 https://arxiv.org/pdf/2208.12232v3 5e4cafa1ff1ee16c data/papers/5e4cafa1ff1ee16c.pdf data/papers/5e4cafa1ff1ee16c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation arXiv 2022 https://arxiv.org/pdf/2208.12401v5 e48a01aaa37a477c data/papers/e48a01aaa37a477c.pdf data/papers/e48a01aaa37a477c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EGFR Mutation Prediction of Lung Biopsy Images using Deep Learning arXiv 2022 https://arxiv.org/pdf/2208.12506v3 8a4ee8589148ff8e data/papers/8a4ee8589148ff8e.pdf data/papers/8a4ee8589148ff8e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mitosis Detection, Fast and Slow: Robust and Efficient Detection of Mitotic Figures arXiv 2022 https://arxiv.org/pdf/2208.12587v2 f3d901e3fce7802a data/papers/f3d901e3fce7802a.pdf data/papers/f3d901e3fce7802a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks arXiv 2022 https://arxiv.org/pdf/2208.13264v1 72f2f5d7329d6556 data/papers/72f2f5d7329d6556.pdf data/papers/72f2f5d7329d6556.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fluorescence molecular optomic signatures improve identification of tumors in head and neck specimens arXiv 2022 https://arxiv.org/pdf/2208.13314v1 21cab2df2c3c3a05 data/papers/21cab2df2c3c3a05.pdf data/papers/21cab2df2c3c3a05.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Boundary-Aware Network for Kidney Parsing arXiv 2022 https://arxiv.org/pdf/2208.13338v1 97d4635e0d08929b data/papers/97d4635e0d08929b.pdf data/papers/97d4635e0d08929b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search arXiv 2022 https://arxiv.org/pdf/2208.13653v2 9edd6e9a727d17ea data/papers/9edd6e9a727d17ea.pdf data/papers/9edd6e9a727d17ea.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comprehensive study of good model training for prostate segmentation in volumetric MRI arXiv 2022 https://arxiv.org/pdf/2208.13671v1 9f534c70825dd65f data/papers/9f534c70825dd65f.pdf data/papers/9f534c70825dd65f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attention-based Interpretable Regression of Gene Expression in Histology arXiv 2022 https://arxiv.org/pdf/2208.13776v1 9a7777d106fff840 data/papers/9a7777d106fff840.pdf data/papers/9a7777d106fff840.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards reliable head and neck cancers locoregional recurrence prediction using delta-radiomics and learning with rejection option arXiv 2022 https://arxiv.org/pdf/2208.14452v1 8ea806462a5d5798 data/papers/8ea806462a5d5798.pdf data/papers/8ea806462a5d5798.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Neoplasia as embryological phenomenon and its implication in the animal evolution and the origin of cancer. I. A presentation of the neoplastic process and its connection with cell fusion and germline formation arXiv 2022 https://arxiv.org/pdf/2209.00002v2 b1003a0c83cc87b2 data/papers/b1003a0c83cc87b2.pdf data/papers/b1003a0c83cc87b2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Two-stage Hypothesis Tests for Variable Interactions with FDR Control arXiv 2022 https://arxiv.org/pdf/2209.00077v1 2f32725a176ef45a data/papers/2f32725a176ef45a.pdf data/papers/2f32725a176ef45a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods arXiv 2022 https://arxiv.org/pdf/2209.01380v1 df94a5f87231db8e data/papers/df94a5f87231db8e.pdf data/papers/df94a5f87231db8e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Copula Entropy based Variable Selection for Survival Analysis arXiv 2022 https://arxiv.org/pdf/2209.01561v1 99f06da688518c1d data/papers/99f06da688518c1d.pdf data/papers/99f06da688518c1d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography arXiv 2022 https://arxiv.org/pdf/2209.01676v1 553409a66ba2b634 data/papers/553409a66ba2b634.pdf data/papers/553409a66ba2b634.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Representation Learning for Non-Melanoma Skin Cancer using a Latent Autoencoder arXiv 2022 https://arxiv.org/pdf/2209.01779v1 e71967bcb2b47376 data/papers/e71967bcb2b47376.pdf data/papers/e71967bcb2b47376.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation arXiv 2022 https://arxiv.org/pdf/2209.02048v2 07da9ed76f8176eb data/papers/07da9ed76f8176eb.pdf data/papers/07da9ed76f8176eb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images arXiv 2022 https://arxiv.org/pdf/2209.03041v1 eebe8b3ecc6f0f43 data/papers/eebe8b3ecc6f0f43.pdf data/papers/eebe8b3ecc6f0f43.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Extended Feature Space-Based Automatic Melanoma Detection System arXiv 2022 https://arxiv.org/pdf/2209.04588v2 aeb90c1bfac94318 data/papers/aeb90c1bfac94318.pdf data/papers/aeb90c1bfac94318.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization arXiv 2022 https://arxiv.org/pdf/2209.04930v1 2d76283d058ca271 data/papers/2d76283d058ca271.pdf data/papers/2d76283d058ca271.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction arXiv 2022 https://arxiv.org/pdf/2209.05036v1 5c7871df9dbf1ec5 data/papers/5c7871df9dbf1ec5.pdf data/papers/5c7871df9dbf1ec5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging arXiv 2022 https://arxiv.org/pdf/2209.05771v1 58c880e9542c966a data/papers/58c880e9542c966a.pdf data/papers/58c880e9542c966a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection arXiv 2022 https://arxiv.org/pdf/2209.05809v1 0681c81f9042d399 data/papers/0681c81f9042d399.pdf data/papers/0681c81f9042d399.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatically Score Tissue Images Like a Pathologist by Transfer Learning arXiv 2022 https://arxiv.org/pdf/2209.05954v4 e89b401ba1c80a77 data/papers/e89b401ba1c80a77.pdf data/papers/e89b401ba1c80a77.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting probability distributions for cancer therapy drug selection optimization arXiv 2022 https://arxiv.org/pdf/2209.06211v1 7ab098eedda65340 data/papers/7ab098eedda65340.pdf data/papers/7ab098eedda65340.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From algorithms to action: improving patient care requires causality arXiv 2022 https://arxiv.org/pdf/2209.07397v2 0016537bc3ceff2f data/papers/0016537bc3ceff2f.pdf data/papers/0016537bc3ceff2f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Medical Image Segmentation using LeViT-UNet++: A Case Study on GI Tract Data arXiv 2022 https://arxiv.org/pdf/2209.07515v1 2e7299418ea72ece data/papers/2e7299418ea72ece.pdf data/papers/2e7299418ea72ece.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images arXiv 2022 https://arxiv.org/pdf/2209.07705v1 e8f97a6d9e372aab data/papers/e8f97a6d9e372aab.pdf data/papers/e8f97a6d9e372aab.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Whole-Body Lesion Segmentation in 18F-FDG PET/CT arXiv 2022 https://arxiv.org/pdf/2209.07851v1 f9b88be94b5b2017 data/papers/f9b88be94b5b2017.pdf data/papers/f9b88be94b5b2017.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm arXiv 2022 https://arxiv.org/pdf/2209.08139v5 29ebbc78538f3b86 data/papers/29ebbc78538f3b86.pdf data/papers/29ebbc78538f3b86.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Differentiable Topology-Preserved Distance Transform for Pulmonary Airway Segmentation arXiv 2022 https://arxiv.org/pdf/2209.08355v5 2a8961fcfa5c173f data/papers/2a8961fcfa5c173f.pdf data/papers/2a8961fcfa5c173f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks arXiv 2022 https://arxiv.org/pdf/2209.08423v1 caa31f38d0924193 data/papers/caa31f38d0924193.pdf data/papers/caa31f38d0924193.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sub-second photon dose prediction via transformer neural networks arXiv 2022 https://arxiv.org/pdf/2209.08923v1 7de5f50476321576 data/papers/7de5f50476321576.pdf data/papers/7de5f50476321576.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling arXiv 2022 https://arxiv.org/pdf/2209.09245v2 92f5091f2d851e54 data/papers/92f5091f2d851e54.pdf data/papers/92f5091f2d851e54.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A probabilistic deep learning model of inter-fraction anatomical variations in radiotherapy arXiv 2022 https://arxiv.org/pdf/2209.09583v1 03021e336e5ee601 data/papers/03021e336e5ee601.pdf data/papers/03021e336e5ee601.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection arXiv 2022 https://arxiv.org/pdf/2209.09809v2 39f46633fa0ef226 data/papers/39f46633fa0ef226.pdf data/papers/39f46633fa0ef226.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers arXiv 2022 https://arxiv.org/pdf/2209.11268v1 828cf3c1027dedef data/papers/828cf3c1027dedef.pdf data/papers/828cf3c1027dedef.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models arXiv 2022 https://arxiv.org/pdf/2209.12027v1 ada172a0358cd991 data/papers/ada172a0358cd991.pdf data/papers/ada172a0358cd991.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adnexal Mass Segmentation with Ultrasound Data Synthesis arXiv 2022 https://arxiv.org/pdf/2209.12305v1 babfddaff2ba2024 data/papers/babfddaff2ba2024.pdf data/papers/babfddaff2ba2024.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Recent trends and analysis of Generative Adversarial Networks in Cervical Cancer Imaging arXiv 2022 https://arxiv.org/pdf/2209.12680v1 06bc03e252a7c81a data/papers/06bc03e252a7c81a.pdf data/papers/06bc03e252a7c81a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images arXiv 2022 https://arxiv.org/pdf/2209.13167v2 5394c740f0bf0669 data/papers/5394c740f0bf0669.pdf data/papers/5394c740f0bf0669.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology arXiv 2022 https://arxiv.org/pdf/2209.13408v1 42bba9c12424d7de data/papers/42bba9c12424d7de.pdf data/papers/42bba9c12424d7de.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Neoplasia as embryological phenomenon and its implication in the animal evolution and the origin of cancer. II. The neoplastic process as an evolutionary engine arXiv 2022 https://arxiv.org/pdf/2209.13729v1 b681896bbad1070b data/papers/b681896bbad1070b.pdf data/papers/b681896bbad1070b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mutual Information Assisted Ensemble Recommender System for Identifying Critical Risk Factors in Healthcare Prognosis arXiv 2022 https://arxiv.org/pdf/2209.13836v3 8d463059abb2f301 data/papers/8d463059abb2f301.pdf data/papers/8d463059abb2f301.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT arXiv 2022 https://arxiv.org/pdf/2209.14657v1 75f06c8eee185cd8 data/papers/75f06c8eee185cd8.pdf data/papers/75f06c8eee185cd8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Parea: multi-view ensemble clustering for cancer subtype discovery arXiv 2022 https://arxiv.org/pdf/2209.15399v1 ffaa21ffd0e1126c data/papers/ffaa21ffd0e1126c.pdf data/papers/ffaa21ffd0e1126c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Melanoma Skin Cancer and Nevus Mole Classification using Intensity Value Estimation with Convolutional Neural Network arXiv 2022 https://arxiv.org/pdf/2209.15465v1 e6f4071dd918d1be data/papers/e6f4071dd918d1be.pdf data/papers/e6f4071dd918d1be.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings arXiv 2022 https://arxiv.org/pdf/2209.15621v1 65aa0b9f113f4e9b data/papers/65aa0b9f113f4e9b.pdf data/papers/65aa0b9f113f4e9b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attention Augmented ConvNeXt UNet For Rectal Tumour Segmentation arXiv 2022 https://arxiv.org/pdf/2210.00227v2 9c9948ba13b94c85 data/papers/9c9948ba13b94c85.pdf data/papers/9c9948ba13b94c85.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neural Graphical Models arXiv 2022 https://arxiv.org/pdf/2210.00453v4 86c27f35b0585aa2 data/papers/86c27f35b0585aa2.pdf data/papers/86c27f35b0585aa2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Xanthene Dyes for Cancer Imaging and Treatment: A Material Odyssey arXiv 2022 https://arxiv.org/pdf/2210.00461v1 74603ed0bcd5703d data/papers/74603ed0bcd5703d.pdf data/papers/74603ed0bcd5703d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective arXiv 2022 https://arxiv.org/pdf/2210.00589v1 af479b5259bd08e3 data/papers/af479b5259bd08e3.pdf data/papers/af479b5259bd08e3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data arXiv 2022 https://arxiv.org/pdf/2210.00825v1 182fe12ac619e73d data/papers/182fe12ac619e73d.pdf data/papers/182fe12ac619e73d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Estimation of Loss-Based Measures of Model Performance under Covariate Shift arXiv 2022 https://arxiv.org/pdf/2210.01980v1 a716046328685e4a data/papers/a716046328685e4a.pdf data/papers/a716046328685e4a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO) arXiv 2022 https://arxiv.org/pdf/2210.03151v1 faaa6d15ba41f516 data/papers/faaa6d15ba41f516.pdf data/papers/faaa6d15ba41f516.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The effect of variable labels on deep learning models trained to predict breast density arXiv 2022 https://arxiv.org/pdf/2210.04106v1 9b2e099eac8bdd8c data/papers/9b2e099eac8bdd8c.pdf data/papers/9b2e099eac8bdd8c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Range margin reduction in carbon ion therapy: potential benefits of using radioactive ion beams arXiv 2022 https://arxiv.org/pdf/2210.04684v1 e06ca67864bb7f7b data/papers/e06ca67864bb7f7b.pdf data/papers/e06ca67864bb7f7b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using Whole Slide Image Representations from Self-Supervised Contrastive Learning for Melanoma Concordance Regression arXiv 2022 https://arxiv.org/pdf/2210.04803v1 625e7dcbcd0656d3 data/papers/625e7dcbcd0656d3.pdf data/papers/625e7dcbcd0656d3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting successful clinical candidates for fiducial-free lung tumor tracking with a deep learning binary classification model arXiv 2022 https://arxiv.org/pdf/2210.05079v3 1a25ffe04c1bfabb data/papers/1a25ffe04c1bfabb.pdf data/papers/1a25ffe04c1bfabb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Fast and Accurate Approach to Detection and Segmentation of Melanoma Skin Cancer using Fine-tuned Yolov3 and SegNet Based on Deep Transfer Learning arXiv 2022 https://arxiv.org/pdf/2210.05167v2 f7444354dd7bebce data/papers/f7444354dd7bebce.pdf data/papers/f7444354dd7bebce.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +iMedBot: A Web-based Intelligent Agent for Healthcare Related Prediction and Deep Learning arXiv 2022 https://arxiv.org/pdf/2210.05671v1 09372289a09a3aa9 data/papers/09372289a09a3aa9.pdf data/papers/09372289a09a3aa9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Application of Deep Learning on Single-Cell RNA-sequencing Data Analysis: A Review arXiv 2022 https://arxiv.org/pdf/2210.05677v1 c2d1060ba2c9ee9d data/papers/c2d1060ba2c9ee9d.pdf data/papers/c2d1060ba2c9ee9d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks arXiv 2022 https://arxiv.org/pdf/2210.06909v2 4a1d935051f9241c data/papers/4a1d935051f9241c.pdf data/papers/4a1d935051f9241c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Knowledge Distillation approach towards Melanoma Detection arXiv 2022 https://arxiv.org/pdf/2210.08086v1 b7bb2bab2c17eaaf data/papers/b7bb2bab2c17eaaf.pdf data/papers/b7bb2bab2c17eaaf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CoRe: An Automated Pipeline for The Prediction of Liver Resection Complexity from Preoperative CT Scans arXiv 2022 https://arxiv.org/pdf/2210.08318v1 865762d787a1f9d6 data/papers/865762d787a1f9d6.pdf data/papers/865762d787a1f9d6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Interactive Interpretability System for Breast Cancer Screening with Deep Learning arXiv 2022 https://arxiv.org/pdf/2210.08979v1 a2b7def58361aa25 data/papers/a2b7def58361aa25.pdf data/papers/a2b7def58361aa25.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels arXiv 2022 https://arxiv.org/pdf/2210.09021v2 f126a8d24fd8c87c data/papers/f126a8d24fd8c87c.pdf data/papers/f126a8d24fd8c87c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints arXiv 2022 https://arxiv.org/pdf/2210.09440v2 7357f5dc709f6f8c data/papers/7357f5dc709f6f8c.pdf data/papers/7357f5dc709f6f8c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Graph Attention Networks Unveil Determinants of Intra- and Inter-city Health Disparity arXiv 2022 https://arxiv.org/pdf/2210.10142v2 73cf3d8dd32284ff data/papers/73cf3d8dd32284ff.pdf data/papers/73cf3d8dd32284ff.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Estimating the coverage in 3d reconstructions of the colon from colonoscopy videos arXiv 2022 https://arxiv.org/pdf/2210.10459v1 2ef267146d3a9355 data/papers/2ef267146d3a9355.pdf data/papers/2ef267146d3a9355.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comparative analysis of deep learning approaches for AgNOR-stained cytology samples interpretation arXiv 2022 https://arxiv.org/pdf/2210.10641v1 b1af5c1e84056e74 data/papers/b1af5c1e84056e74.pdf data/papers/b1af5c1e84056e74.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology arXiv 2022 https://arxiv.org/pdf/2210.11822v1 3c9e0411f82c0580 data/papers/3c9e0411f82c0580.pdf data/papers/3c9e0411f82c0580.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computer-Aided Cancer Diagnosis via Machine Learning and Deep Learning: A comparative review arXiv 2022 https://arxiv.org/pdf/2210.11943v1 da90c43f18c5ef5a data/papers/da90c43f18c5ef5a.pdf data/papers/da90c43f18c5ef5a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks arXiv 2022 https://arxiv.org/pdf/2210.12584v1 51579f6567c42d88 data/papers/51579f6567c42d88.pdf data/papers/51579f6567c42d88.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +What cleaves? Is proteasomal cleavage prediction reaching a ceiling? arXiv 2022 https://arxiv.org/pdf/2210.12991v2 4069365eeaff708a data/papers/4069365eeaff708a.pdf data/papers/4069365eeaff708a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dynamic Treatment Regimes using Bayesian Additive Regression Trees for Censored Outcomes arXiv 2022 https://arxiv.org/pdf/2210.13330v1 3b70e1dd2515729d data/papers/3b70e1dd2515729d.pdf data/papers/3b70e1dd2515729d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Brain Tumor Segmentation using Enhanced U-Net Model with Empirical Analysis arXiv 2022 https://arxiv.org/pdf/2210.13336v2 9ecb9479cb55f9a1 data/papers/9ecb9479cb55f9a1.pdf data/papers/9ecb9479cb55f9a1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging arXiv 2022 https://arxiv.org/pdf/2210.15033v1 a41b7f479ca682c3 data/papers/a41b7f479ca682c3.pdf data/papers/a41b7f479ca682c3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction arXiv 2022 https://arxiv.org/pdf/2210.15297v1 5c875e4faabfed7f data/papers/5c875e4faabfed7f.pdf data/papers/5c875e4faabfed7f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation arXiv 2022 https://arxiv.org/pdf/2210.15808v2 3449d008ce9ac7bc data/papers/3449d008ce9ac7bc.pdf data/papers/3449d008ce9ac7bc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +U-Net-based Models for Skin Lesion Segmentation: More Attention and Augmentation arXiv 2022 https://arxiv.org/pdf/2210.16399v1 0858eed12554ed7e data/papers/0858eed12554ed7e.pdf data/papers/0858eed12554ed7e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images arXiv 2022 https://arxiv.org/pdf/2210.16457v1 a490c88420d5bb48 data/papers/a490c88420d5bb48.pdf data/papers/a490c88420d5bb48.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study arXiv 2022 https://arxiv.org/pdf/2210.16640v1 68c5ac00d3dcc3c6 data/papers/68c5ac00d3dcc3c6.pdf data/papers/68c5ac00d3dcc3c6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation arXiv 2022 https://arxiv.org/pdf/2210.16898v1 35aef0ae90addbd9 data/papers/35aef0ae90addbd9.pdf data/papers/35aef0ae90addbd9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-based Protoacoustic Signal Denoising for Proton Range Verification arXiv 2022 https://arxiv.org/pdf/2210.17500v1 4f0dc34ef9075cdf data/papers/4f0dc34ef9075cdf.pdf data/papers/4f0dc34ef9075cdf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transfer Learning with Kernel Methods arXiv 2022 https://arxiv.org/pdf/2211.00227v1 a62ce0e0e4a9acb9 data/papers/a62ce0e0e4a9acb9.pdf data/papers/a62ce0e0e4a9acb9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound arXiv 2022 https://arxiv.org/pdf/2211.00527v1 8490e97ded02b7fe data/papers/8490e97ded02b7fe.pdf data/papers/8490e97ded02b7fe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Composite Feature Selection using Deep Ensembles arXiv 2022 https://arxiv.org/pdf/2211.00631v2 1fc480da990c9919 data/papers/1fc480da990c9919.pdf data/papers/1fc480da990c9919.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Melanocytic Cell Masks from Adjacent Stained Tissue arXiv 2022 https://arxiv.org/pdf/2211.00646v4 dd608b625c2e0691 data/papers/dd608b625c2e0691.pdf data/papers/dd608b625c2e0691.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ESKNet-An enhanced adaptive selection kernel convolution for breast tumors segmentation arXiv 2022 https://arxiv.org/pdf/2211.02915v2 a405e0366c9743b3 data/papers/a405e0366c9743b3.pdf data/papers/a405e0366c9743b3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generating counterfactual explanations of tumor spatial proteomes to discover effective strategies for enhancing immune infiltration arXiv 2022 https://arxiv.org/pdf/2211.04020v2 7223850f76f80cc1 data/papers/7223850f76f80cc1.pdf data/papers/7223850f76f80cc1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploiting segmentation labels and representation learning to forecast therapy response of PDAC patients arXiv 2022 https://arxiv.org/pdf/2211.04180v2 bc74d7a15ae47bcc data/papers/bc74d7a15ae47bcc.pdf data/papers/bc74d7a15ae47bcc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of Colorectal Cancer Polyps via Transfer Learning and Vision-Based Tactile Sensing arXiv 2022 https://arxiv.org/pdf/2211.04573v1 3fdfc9201f38f567 data/papers/3fdfc9201f38f567.pdf data/papers/3fdfc9201f38f567.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gold-standard of HER2 breast cancer biopsies using supervised learning based on multiple pathologist annotations arXiv 2022 https://arxiv.org/pdf/2211.04649v1 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{} +Generative Adversarial Networks for Weakly Supervised Generation and Evaluation of Brain Tumor Segmentations on MR Images arXiv 2022 https://arxiv.org/pdf/2211.05269v4 3349b688466aa3d2 data/papers/3349b688466aa3d2.pdf data/papers/3349b688466aa3d2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Clinical Support for Breast Cancer with Deep Learning Models using Synthetic Correlated Diffusion Imaging arXiv 2022 https://arxiv.org/pdf/2211.05308v2 f2bdd61d74a0591a data/papers/f2bdd61d74a0591a.pdf data/papers/f2bdd61d74a0591a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer arXiv 2022 https://arxiv.org/pdf/2211.05409v1 ac5ea00db41da05e data/papers/ac5ea00db41da05e.pdf data/papers/ac5ea00db41da05e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Perfectly predicting ICU length of stay: too good to be true arXiv 2022 https://arxiv.org/pdf/2211.05597v1 772bcf67bcad3cb3 data/papers/772bcf67bcad3cb3.pdf data/papers/772bcf67bcad3cb3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accelerated respiratory-resolved 4D-MRI with separable spatio-temporal neural networks arXiv 2022 https://arxiv.org/pdf/2211.05678v2 b667288825363764 data/papers/b667288825363764.pdf data/papers/b667288825363764.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis arXiv 2022 https://arxiv.org/pdf/2211.05862v4 f6646c73cba32a0f data/papers/f6646c73cba32a0f.pdf data/papers/f6646c73cba32a0f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Generates Synthetic Cancer Histology for Explainability and Education arXiv 2022 https://arxiv.org/pdf/2211.06522v2 0a84bfa4f84139f4 data/papers/0a84bfa4f84139f4.pdf data/papers/0a84bfa4f84139f4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pit-Pattern Classification of Colorectal Cancer Polyps Using a Hyper Sensitive Vision-Based Tactile Sensor and Dilated Residual Networks arXiv 2022 https://arxiv.org/pdf/2211.06814v1 dcf969cc05a4778c data/papers/dcf969cc05a4778c.pdf data/papers/dcf969cc05a4778c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Extending the Neural Additive Model for Survival Analysis with EHR Data arXiv 2022 https://arxiv.org/pdf/2211.07814v2 699c46015f6945ba data/papers/699c46015f6945ba.pdf data/papers/699c46015f6945ba.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data arXiv 2022 https://arxiv.org/pdf/2211.08077v1 2b02c934147c92d1 data/papers/2b02c934147c92d1.pdf data/papers/2b02c934147c92d1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The non-overlapping statistical approximation to overlapping group lasso arXiv 2022 https://arxiv.org/pdf/2211.09221v3 ba44d431bcfe5da5 data/papers/ba44d431bcfe5da5.pdf data/papers/ba44d431bcfe5da5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable HER2 scoring by evaluating clinical Guidelines through a weakly supervised, constrained Deep Learning Approach arXiv 2022 https://arxiv.org/pdf/2211.09559v1 fcc9305c6e891e3c data/papers/fcc9305c6e891e3c.pdf data/papers/fcc9305c6e891e3c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients arXiv 2022 https://arxiv.org/pdf/2211.09856v1 c448a63210813a3c data/papers/c448a63210813a3c.pdf data/papers/c448a63210813a3c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images arXiv 2022 https://arxiv.org/pdf/2211.10138v1 1147276d4eccfbf4 data/papers/1147276d4eccfbf4.pdf data/papers/1147276d4eccfbf4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning methods for drug response prediction in cancer: predominant and emerging trends arXiv 2022 https://arxiv.org/pdf/2211.10442v1 fcb7feb93da06f57 data/papers/fcb7feb93da06f57.pdf data/papers/fcb7feb93da06f57.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +convoHER2: A Deep Neural Network for Multi-Stage Classification of HER2 Breast Cancer arXiv 2022 https://arxiv.org/pdf/2211.10690v1 77161f9e14c191d7 data/papers/77161f9e14c191d7.pdf data/papers/77161f9e14c191d7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comparative Analysis of Transfer Learning-based Techniques for the Classification of Melanocytic Nevi arXiv 2022 https://arxiv.org/pdf/2211.10972v1 1a03ee49e5b775cf data/papers/1a03ee49e5b775cf.pdf data/papers/1a03ee49e5b775cf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Automated Polyp Segmentation Using Weakly- and Semi-Supervised Learning and Deformable Transformers arXiv 2022 https://arxiv.org/pdf/2211.11847v1 6528f093cfb23fee data/papers/6528f093cfb23fee.pdf data/papers/6528f093cfb23fee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of Melanocytic Nevus Images using BigTransfer (BiT) arXiv 2022 https://arxiv.org/pdf/2211.11872v2 7ff5f00e8344e537 data/papers/7ff5f00e8344e537.pdf data/papers/7ff5f00e8344e537.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Generic Approach for Reproducible Model Distillation arXiv 2022 https://arxiv.org/pdf/2211.12631v3 599a40d06fc37b0d data/papers/599a40d06fc37b0d.pdf data/papers/599a40d06fc37b0d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine learning strategies to predict late adverse effects in childhood acute lymphoblastic leukemia survivors arXiv 2022 https://arxiv.org/pdf/2211.13188v2 81b2cb7903d672cb data/papers/81b2cb7903d672cb.pdf data/papers/81b2cb7903d672cb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ACROBAT -- a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology arXiv 2022 https://arxiv.org/pdf/2211.13621v1 9fe1d23540b5ebbc data/papers/9fe1d23540b5ebbc.pdf data/papers/9fe1d23540b5ebbc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Karyotype AI for Precision Oncology arXiv 2022 https://arxiv.org/pdf/2211.14312v5 587050911c986af3 data/papers/587050911c986af3.pdf data/papers/587050911c986af3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep neuroevolution for limited, heterogeneous data: proof-of-concept application to Neuroblastoma brain metastasis using a small virtual pooled image collection arXiv 2022 https://arxiv.org/pdf/2211.14499v1 bc09496d4b2f95eb data/papers/bc09496d4b2f95eb.pdf data/papers/bc09496d4b2f95eb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep neuroevolution to predict primary brain tumor grade from functional MRI adjacency matrices arXiv 2022 https://arxiv.org/pdf/2211.14500v1 31be0fcb631ef1c7 data/papers/31be0fcb631ef1c7.pdf data/papers/31be0fcb631ef1c7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review arXiv 2022 https://arxiv.org/pdf/2211.14847v1 1625cd5c9daafc39 data/papers/1625cd5c9daafc39.pdf data/papers/1625cd5c9daafc39.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Label Chest X-Ray Classification via Deep Learning arXiv 2022 https://arxiv.org/pdf/2211.14929v1 ddfef5fde213d5ea data/papers/ddfef5fde213d5ea.pdf data/papers/ddfef5fde213d5ea.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning arXiv 2022 https://arxiv.org/pdf/2211.15071v1 f5a5bfaaa10968d9 data/papers/f5a5bfaaa10968d9.pdf data/papers/f5a5bfaaa10968d9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Graph Neural Networks for Breast Cancer Data Integration arXiv 2022 https://arxiv.org/pdf/2211.15561v1 c5860732c731ef8f data/papers/c5860732c731ef8f.pdf data/papers/c5860732c731ef8f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Simultaneous Best Subset Selection and Dimension Reduction via Primal-Dual Iterations arXiv 2022 https://arxiv.org/pdf/2211.15889v2 e91b306d984e7cfa data/papers/e91b306d984e7cfa.pdf data/papers/e91b306d984e7cfa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal Learning for Multi-Omics: A Survey arXiv 2022 https://arxiv.org/pdf/2211.16509v2 fb0e9eee4efb3ebc data/papers/fb0e9eee4efb3ebc.pdf data/papers/fb0e9eee4efb3ebc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics arXiv 2022 https://arxiv.org/pdf/2211.16632v1 807a3197e834c02a data/papers/807a3197e834c02a.pdf data/papers/807a3197e834c02a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine Learning arXiv 2022 https://arxiv.org/pdf/2211.16834v1 a5f39abc3ffa256d data/papers/a5f39abc3ffa256d.pdf data/papers/a5f39abc3ffa256d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Challenging mitosis detection algorithms: Global labels allow centroid localization arXiv 2022 https://arxiv.org/pdf/2211.16852v1 287b2b8e93616bfc data/papers/287b2b8e93616bfc.pdf data/papers/287b2b8e93616bfc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning arXiv 2022 https://arxiv.org/pdf/2212.01737v2 5ea2e7d52a9ae51e data/papers/5ea2e7d52a9ae51e.pdf data/papers/5ea2e7d52a9ae51e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data arXiv 2022 https://arxiv.org/pdf/2212.02504v2 724b7cbd8d5eaebf data/papers/724b7cbd8d5eaebf.pdf data/papers/724b7cbd8d5eaebf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies arXiv 2022 https://arxiv.org/pdf/2212.03000v2 133f17d282d705ea data/papers/133f17d282d705ea.pdf data/papers/133f17d282d705ea.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Giga-SSL: Self-Supervised Learning for Gigapixel Images arXiv 2022 https://arxiv.org/pdf/2212.03273v1 4770d380b9f9058e data/papers/4770d380b9f9058e.pdf data/papers/4770d380b9f9058e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning arXiv 2022 https://arxiv.org/pdf/2212.04097v1 55b4b3e152454425 data/papers/55b4b3e152454425.pdf data/papers/55b4b3e152454425.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Contextual Data Augmentation for Generalizable Melanoma Detection arXiv 2022 https://arxiv.org/pdf/2212.05116v3 95a7e96fe27de2de data/papers/95a7e96fe27de2de.pdf data/papers/95a7e96fe27de2de.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Precancerous Case Characterization via Transformer-based Ensemble Learning arXiv 2022 https://arxiv.org/pdf/2212.05150v1 75bd301c072c6af5 data/papers/75bd301c072c6af5.pdf data/papers/75bd301c072c6af5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accurate and fast deep learning dose prediction for a preclinical microbeam radiation therapy study using low-statistics Monte Carlo simulations arXiv 2022 https://arxiv.org/pdf/2212.05659v2 67c9bc1976e9e574 data/papers/67c9bc1976e9e574.pdf data/papers/67c9bc1976e9e574.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid Censored Quantile Regression Forest to Assess the Heterogeneous Effects arXiv 2022 https://arxiv.org/pdf/2212.05672v1 c426f6b2dee65015 data/papers/c426f6b2dee65015.pdf data/papers/c426f6b2dee65015.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI arXiv 2022 https://arxiv.org/pdf/2212.06336v1 1cab3edb1792e54d data/papers/1cab3edb1792e54d.pdf data/papers/1cab3edb1792e54d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays arXiv 2022 https://arxiv.org/pdf/2212.07724v2 c41a38785ac8d372 data/papers/c41a38785ac8d372.pdf data/papers/c41a38785ac8d372.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Scale Relational Graph Convolutional Network for Multiple Instance Learning in Histopathology Images arXiv 2022 https://arxiv.org/pdf/2212.08781v2 b056714c256c76d6 data/papers/b056714c256c76d6.pdf data/papers/b056714c256c76d6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anticancer Peptides Classification using Kernel Sparse Representation Classifier arXiv 2022 https://arxiv.org/pdf/2212.10567v1 31ef365e097b5aef data/papers/31ef365e097b5aef.pdf data/papers/31ef365e097b5aef.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised Bladder Tissue Classification in Multi-Domain Endoscopic Images arXiv 2022 https://arxiv.org/pdf/2212.11375v2 450afe97f1ad17e0 data/papers/450afe97f1ad17e0.pdf data/papers/450afe97f1ad17e0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mediastinal Lymph Node Detection and Segmentation Using Deep Learning arXiv 2022 https://arxiv.org/pdf/2212.11956v1 f09ea7c2b99abd6b data/papers/f09ea7c2b99abd6b.pdf data/papers/f09ea7c2b99abd6b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +How different are self and nonself? arXiv 2022 https://arxiv.org/pdf/2212.12049v2 0a15f1b3a24154ce data/papers/0a15f1b3a24154ce.pdf data/papers/0a15f1b3a24154ce.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing the prediction of disease outcomes using electronic health records and pretrained deep learning models arXiv 2022 https://arxiv.org/pdf/2212.12067v1 c87e4ce2e350a00d data/papers/c87e4ce2e350a00d.pdf data/papers/c87e4ce2e350a00d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Survival of Tongue Cancer Patients by Machine Learning Models arXiv 2022 https://arxiv.org/pdf/2212.12114v1 d14c456f065c20c8 data/papers/d14c456f065c20c8.pdf data/papers/d14c456f065c20c8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and Gleason Grading of Histopathology Images arXiv 2022 https://arxiv.org/pdf/2212.12844v1 ad684350a77f8f02 data/papers/ad684350a77f8f02.pdf data/papers/ad684350a77f8f02.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable AI for Bioinformatics: Methods, Tools, and Applications arXiv 2022 https://arxiv.org/pdf/2212.13261v3 e9004aae87e42f9c data/papers/e9004aae87e42f9c.pdf data/papers/e9004aae87e42f9c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification arXiv 2022 https://arxiv.org/pdf/2212.13401v1 486a2b8611ff001e data/papers/486a2b8611ff001e.pdf data/papers/486a2b8611ff001e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk arXiv 2022 https://arxiv.org/pdf/2212.13439v2 ac203c272d1233f1 data/papers/ac203c272d1233f1.pdf data/papers/ac203c272d1233f1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation arXiv 2022 https://arxiv.org/pdf/2212.14102v1 288d611eb04a38af data/papers/288d611eb04a38af.pdf data/papers/288d611eb04a38af.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Genomic Data arXiv 2022 https://arxiv.org/pdf/2212.14165v1 0ce82ad501a7c95d data/papers/0ce82ad501a7c95d.pdf data/papers/0ce82ad501a7c95d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI arXiv 2022 https://arxiv.org/pdf/2212.14267v1 951fe29c62d63591 data/papers/951fe29c62d63591.pdf data/papers/951fe29c62d63591.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Topical Hidden Genome: Discovering Latent Cancer Mutational Topics using a Bayesian Multilevel Context-learning Approach arXiv 2022 https://arxiv.org/pdf/2212.14567v1 b92da02fd88fc014 data/papers/b92da02fd88fc014.pdf data/papers/b92da02fd88fc014.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer arXiv 2022 https://arxiv.org/pdf/2212.14652v1 0bb279c27facbaee data/papers/0bb279c27facbaee.pdf data/papers/0bb279c27facbaee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hair and Scalp Disease Detection using Machine Learning and Image Processing arXiv 2022 https://arxiv.org/pdf/2301.00122v3 24bf5de1a9325edf data/papers/24bf5de1a9325edf.pdf data/papers/24bf5de1a9325edf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging arXiv 2023 https://arxiv.org/pdf/2301.01448v1 4ef03ad97f88601f data/papers/4ef03ad97f88601f.pdf data/papers/4ef03ad97f88601f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis arXiv 2023 https://arxiv.org/pdf/2301.01931v1 d25d1e29528cd83b data/papers/d25d1e29528cd83b.pdf data/papers/d25d1e29528cd83b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Identification of lung nodules CT scan using YOLOv5 based on convolution neural network arXiv 2022 https://arxiv.org/pdf/2301.02166v1 2754831e134078c2 data/papers/2754831e134078c2.pdf data/papers/2754831e134078c2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction arXiv 2023 https://arxiv.org/pdf/2301.02383v1 7c6700d64ebd1102 data/papers/7c6700d64ebd1102.pdf data/papers/7c6700d64ebd1102.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep-learning models in medical image analysis: Detection of esophagitis from the Kvasir Dataset arXiv 2023 https://arxiv.org/pdf/2301.02390v1 e7d43ecadff7cde6 data/papers/e7d43ecadff7cde6.pdf data/papers/e7d43ecadff7cde6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets arXiv 2023 https://arxiv.org/pdf/2301.02554v2 657098bee37a0236 data/papers/657098bee37a0236.pdf data/papers/657098bee37a0236.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An interpretable machine learning system for colorectal cancer diagnosis from pathology slides arXiv 2023 https://arxiv.org/pdf/2301.02608v2 d568bb17e50865d7 data/papers/d568bb17e50865d7.pdf data/papers/d568bb17e50865d7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RUPNet: Residual upsampling network for real-time polyp segmentation arXiv 2023 https://arxiv.org/pdf/2301.02703v2 2e799a6e89c8caf4 data/papers/2e799a6e89c8caf4.pdf data/papers/2e799a6e89c8caf4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leukemia detection based on microscopic blood smear images using deep learning arXiv 2022 https://arxiv.org/pdf/2301.03367v1 01cee490a2cdf964 data/papers/01cee490a2cdf964.pdf data/papers/01cee490a2cdf964.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optirank: classification for RNA-Seq data with optimal ranking reference genes arXiv 2023 https://arxiv.org/pdf/2301.04653v1 cd098dc0c271186c data/papers/cd098dc0c271186c.pdf data/papers/cd098dc0c271186c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset arXiv 2023 https://arxiv.org/pdf/2301.06304v2 a26f7237832291d9 data/papers/a26f7237832291d9.pdf data/papers/a26f7237832291d9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation arXiv 2023 https://arxiv.org/pdf/2301.06673v2 0158777d1e2a6f10 data/papers/0158777d1e2a6f10.pdf data/papers/0158777d1e2a6f10.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multicenter automatic detection of invasive carcinoma on breast whole slide images arXiv 2023 https://arxiv.org/pdf/2301.06789v1 217743211f1a08c3 data/papers/217743211f1a08c3.pdf data/papers/217743211f1a08c3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DiffusionCT: Latent Diffusion Model for CT Image Standardization arXiv 2023 https://arxiv.org/pdf/2301.08815v2 f79435a668242281 data/papers/f79435a668242281.pdf data/papers/f79435a668242281.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable Multilayer Graph Neural Network for Cancer Gene Prediction arXiv 2023 https://arxiv.org/pdf/2301.08831v2 800617e30e2eae3e data/papers/800617e30e2eae3e.pdf data/papers/800617e30e2eae3e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MultiNet with Transformers: A Model for Cancer Diagnosis Using Images arXiv 2023 https://arxiv.org/pdf/2301.09007v1 b86914d9ee1ffaec data/papers/b86914d9ee1ffaec.pdf data/papers/b86914d9ee1ffaec.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Applied Deep Learning to Identify and Localize Polyps from Endoscopic Images arXiv 2023 https://arxiv.org/pdf/2301.09219v1 8cae4af7a692cb64 data/papers/8cae4af7a692cb64.pdf data/papers/8cae4af7a692cb64.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study arXiv 2023 https://arxiv.org/pdf/2301.09617v2 a519276fbb0d0797 data/papers/a519276fbb0d0797.pdf data/papers/a519276fbb0d0797.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images arXiv 2023 https://arxiv.org/pdf/2301.09624v1 ec00c2bea37c5fcc data/papers/ec00c2bea37c5fcc.pdf data/papers/ec00c2bea37c5fcc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prostate Lesion Estimation using Prostate Masks from Biparametric MRI arXiv 2023 https://arxiv.org/pdf/2301.09673v1 26e3e342a6743aaa data/papers/26e3e342a6743aaa.pdf data/papers/26e3e342a6743aaa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A convolutional neural network of low complexity for tumor anomaly detection arXiv 2023 https://arxiv.org/pdf/2301.09861v5 a18ef9892267da51 data/papers/a18ef9892267da51.pdf data/papers/a18ef9892267da51.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhanced Sharp-GAN For Histopathology Image Synthesis arXiv 2023 https://arxiv.org/pdf/2301.10187v1 db785864761cae42 data/papers/db785864761cae42.pdf data/papers/db785864761cae42.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +deepPERFECT: Novel Deep Learning CT Synthesis Method for Expeditious Pancreatic Cancer Radiotherapy arXiv 2023 https://arxiv.org/pdf/2301.11085v2 3af3ef89d178f028 data/papers/3af3ef89d178f028.pdf data/papers/3af3ef89d178f028.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RMSim: Controlled Respiratory Motion Simulation on Static Patient Scans arXiv 2023 https://arxiv.org/pdf/2301.11422v1 9fc8f9b5fe01b3ac data/papers/9fc8f9b5fe01b3ac.pdf data/papers/9fc8f9b5fe01b3ac.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease arXiv 2023 https://arxiv.org/pdf/2301.11962v2 323af7e3254b57b4 data/papers/323af7e3254b57b4.pdf data/papers/323af7e3254b57b4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review arXiv 2023 https://arxiv.org/pdf/2301.12222v1 68d94b09f26b553b data/papers/68d94b09f26b553b.pdf data/papers/68d94b09f26b553b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans arXiv 2023 https://arxiv.org/pdf/2301.12291v2 1638fd21ee44ff71 data/papers/1638fd21ee44ff71.pdf data/papers/1638fd21ee44ff71.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Convolutional Neural Network-Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study arXiv 2023 https://arxiv.org/pdf/2301.13151v1 8269c7871bbf2a0f data/papers/8269c7871bbf2a0f.pdf data/papers/8269c7871bbf2a0f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations arXiv 2023 https://arxiv.org/pdf/2301.13418v4 36895c56465f8023 data/papers/36895c56465f8023.pdf data/papers/36895c56465f8023.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FCB-SwinV2 Transformer for Polyp Segmentation arXiv 2023 https://arxiv.org/pdf/2302.01027v1 1564690f98e624a3 data/papers/1564690f98e624a3.pdf data/papers/1564690f98e624a3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LesionAid: Vision Transformers-based Skin Lesion Generation and Classification arXiv 2023 https://arxiv.org/pdf/2302.01104v1 08c533f945d685cb data/papers/08c533f945d685cb.pdf data/papers/08c533f945d685cb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity arXiv 2023 https://arxiv.org/pdf/2302.01302v1 38183bb74e16031c data/papers/38183bb74e16031c.pdf data/papers/38183bb74e16031c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Augmented Learning of Heterogeneous Treatment Effects via Gradient Boosting Trees arXiv 2023 https://arxiv.org/pdf/2302.01367v1 ba5d3ecd4df51ea3 data/papers/ba5d3ecd4df51ea3.pdf data/papers/ba5d3ecd4df51ea3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides arXiv 2023 https://arxiv.org/pdf/2302.01813v1 bd7ed56854398ba0 data/papers/bd7ed56854398ba0.pdf data/papers/bd7ed56854398ba0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pre-screening breast cancer with machine learning and deep learning arXiv 2023 https://arxiv.org/pdf/2302.02406v1 1d553686f025256a data/papers/1d553686f025256a.pdf data/papers/1d553686f025256a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Approach for Early Stage Lung Cancer Detection arXiv 2023 https://arxiv.org/pdf/2302.02456v2 c61042b56ce4d1f6 data/papers/c61042b56ce4d1f6.pdf data/papers/c61042b56ce4d1f6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Personalized Interpretable Classification arXiv 2023 https://arxiv.org/pdf/2302.02528v2 cf36e27127b95891 data/papers/cf36e27127b95891.pdf data/papers/cf36e27127b95891.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Intra-operative Brain Tumor Detection with Deep Learning-Optimized Hyperspectral Imaging arXiv 2023 https://arxiv.org/pdf/2302.02884v1 161283201503dc70 data/papers/161283201503dc70.pdf data/papers/161283201503dc70.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images arXiv 2023 https://arxiv.org/pdf/2302.03014v4 76a1d354cfe75b45 data/papers/76a1d354cfe75b45.pdf data/papers/76a1d354cfe75b45.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Early Risk Prediction of Chronic Myeloid Leukemia with Protein Sequences using Machine Learning-based Meta-Ensemble arXiv 2023 https://arxiv.org/pdf/2302.04200v1 d1e639bafd2eab2f data/papers/d1e639bafd2eab2f.pdf data/papers/d1e639bafd2eab2f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Histopathological Cancer Detection Using Hybrid Quantum Computing arXiv 2023 https://arxiv.org/pdf/2302.04633v1 ce1bc7d404b4fac9 data/papers/ce1bc7d404b4fac9.pdf data/papers/ce1bc7d404b4fac9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Biomedical Knowledge Graph for Biomarker Discovery in Cancer arXiv 2023 https://arxiv.org/pdf/2302.04737v2 88004777f7fb961f data/papers/88004777f7fb961f.pdf data/papers/88004777f7fb961f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime arXiv 2023 https://arxiv.org/pdf/2302.05195v2 52138b5564b965f6 data/papers/52138b5564b965f6.pdf data/papers/52138b5564b965f6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NephroNet: A Novel Program for Identifying Renal Cell Carcinoma and Generating Synthetic Training Images with Convolutional Neural Networks and Diffusion Models arXiv 2023 https://arxiv.org/pdf/2302.05830v1 f2ba7e563354de56 data/papers/f2ba7e563354de56.pdf data/papers/f2ba7e563354de56.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Isotopic envelope identification by analysis of the spatial distribution of components in MALDI-MSI data arXiv 2023 https://arxiv.org/pdf/2302.06051v2 bb37a62dd95b864a data/papers/bb37a62dd95b864a.pdf data/papers/bb37a62dd95b864a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading arXiv 2023 https://arxiv.org/pdf/2302.06089v5 7db59d56c6f79a20 data/papers/7db59d56c6f79a20.pdf data/papers/7db59d56c6f79a20.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DEPAS: De-novo Pathology Semantic Masks using a Generative Model arXiv 2023 https://arxiv.org/pdf/2302.06513v1 ed4c273d7ce7e1f8 data/papers/ed4c273d7ce7e1f8.pdf data/papers/ed4c273d7ce7e1f8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks arXiv 2023 https://arxiv.org/pdf/2302.07868v7 dc4f73edf2892065 data/papers/dc4f73edf2892065.pdf data/papers/dc4f73edf2892065.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable Deep Learning Methods for Multiview Learning arXiv 2023 https://arxiv.org/pdf/2302.07930v2 ce450becd22e18e7 data/papers/ce450becd22e18e7.pdf data/papers/ce450becd22e18e7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning models for classifying Raman spectra of genomic DNA from tumor subtypes arXiv 2023 https://arxiv.org/pdf/2302.08918v1 5045783bb1589f62 data/papers/5045783bb1589f62.pdf data/papers/5045783bb1589f62.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comprehensive Evaluation Study on Risk Level Classification of Melanoma by Computer Vision on ISIC 2016-2020 Datasets arXiv 2023 https://arxiv.org/pdf/2302.09528v1 da58d746dead275c data/papers/da58d746dead275c.pdf data/papers/da58d746dead275c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual Attention Model with Reinforcement Learning for Classification of Histology Whole-Slide Images arXiv 2023 https://arxiv.org/pdf/2302.09682v2 796a98cb15e5e749 data/papers/796a98cb15e5e749.pdf data/papers/796a98cb15e5e749.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines arXiv 2023 https://arxiv.org/pdf/2302.10406v1 7bec9c6595700ff1 data/papers/7bec9c6595700ff1.pdf data/papers/7bec9c6595700ff1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations arXiv 2023 https://arxiv.org/pdf/2302.10661v1 b72d3bb0d2bf944a data/papers/b72d3bb0d2bf944a.pdf data/papers/b72d3bb0d2bf944a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scientific Computing with Diffractive Optical Neural Networks arXiv 2023 https://arxiv.org/pdf/2302.10905v1 17fda9cacb829a1b data/papers/17fda9cacb829a1b.pdf data/papers/17fda9cacb829a1b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stress and Adaptation: Applying Anna Karenina Principle in Deep Learning for Image Classification arXiv 2023 https://arxiv.org/pdf/2302.11380v1 727fa521cff00b16 data/papers/727fa521cff00b16.pdf data/papers/727fa521cff00b16.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers arXiv 2023 https://arxiv.org/pdf/2302.11488v1 355f2d70442ea2ed data/papers/355f2d70442ea2ed.pdf data/papers/355f2d70442ea2ed.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mapping the space of photoswitchable ligands and photodruggable proteins with computational modeling arXiv 2023 https://arxiv.org/pdf/2302.11490v1 8b0ae1eb8d021252 data/papers/8b0ae1eb8d021252.pdf data/papers/8b0ae1eb8d021252.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Language Models are Few-shot Learners for Prognostic Prediction arXiv 2023 https://arxiv.org/pdf/2302.12692v4 83bbef9efda9eef7 data/papers/83bbef9efda9eef7.pdf data/papers/83bbef9efda9eef7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multimodal Graph Neural Network Framework of Cancer Molecular Subtype Classification arXiv 2023 https://arxiv.org/pdf/2302.12838v2 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{} +Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision arXiv 2023 https://arxiv.org/pdf/2303.00885v1 435b5201248832ab data/papers/435b5201248832ab.pdf data/papers/435b5201248832ab.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT arXiv 2023 https://arxiv.org/pdf/2303.00942v1 e93474b06d7b4ac3 data/papers/e93474b06d7b4ac3.pdf data/papers/e93474b06d7b4ac3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-based Multiple Instance Learning arXiv 2023 https://arxiv.org/pdf/2303.01342v1 b6ee7e42a52d7ef8 data/papers/b6ee7e42a52d7ef8.pdf data/papers/b6ee7e42a52d7ef8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Safe AI for health and beyond -- Monitoring to transform a health service arXiv 2023 https://arxiv.org/pdf/2303.01513v3 37102be468f8c150 data/papers/37102be468f8c150.pdf data/papers/37102be468f8c150.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical discriminative learning improves visual representations of biomedical microscopy arXiv 2023 https://arxiv.org/pdf/2303.01605v1 c8543979bb8c6f6e data/papers/c8543979bb8c6f6e.pdf data/papers/c8543979bb8c6f6e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion arXiv 2023 https://arxiv.org/pdf/2303.02094v1 822ff05d50380570 data/papers/822ff05d50380570.pdf data/papers/822ff05d50380570.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TRUSformer: Improving Prostate Cancer Detection from Micro-Ultrasound Using Attention and Self-Supervision arXiv 2023 https://arxiv.org/pdf/2303.02128v1 71821f56824d5ce1 data/papers/71821f56824d5ce1.pdf data/papers/71821f56824d5ce1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy arXiv 2023 https://arxiv.org/pdf/2303.02162v1 da3af273a90bf6e5 data/papers/da3af273a90bf6e5.pdf data/papers/da3af273a90bf6e5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain adaptation using optimal transport for invariant learning using histopathology datasets arXiv 2023 https://arxiv.org/pdf/2303.02241v1 b257896e2222e971 data/papers/b257896e2222e971.pdf data/papers/b257896e2222e971.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A stochastic network approach to clustering and visualising single-cell genomic count data arXiv 2023 https://arxiv.org/pdf/2303.02498v5 9c08cb5acea07579 data/papers/9c08cb5acea07579.pdf data/papers/9c08cb5acea07579.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Based Dominant Index Lesion Segmentation for MR-guided Radiation Therapy of Prostate Cancer arXiv 2023 https://arxiv.org/pdf/2303.03494v1 f4861c6c78a9341f data/papers/f4861c6c78a9341f.pdf data/papers/f4861c6c78a9341f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention arXiv 2023 https://arxiv.org/pdf/2303.03625v1 b976c112d392145b data/papers/b976c112d392145b.pdf data/papers/b976c112d392145b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CIFF-Net: Contextual Image Feature Fusion for Melanoma Diagnosis arXiv 2023 https://arxiv.org/pdf/2303.03672v1 b93d79cf5ec5d6c9 data/papers/b93d79cf5ec5d6c9.pdf data/papers/b93d79cf5ec5d6c9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A survey on automated detection and classification of acute leukemia and WBCs in microscopic blood cells arXiv 2023 https://arxiv.org/pdf/2303.03916v3 110470e24d3bd714 data/papers/110470e24d3bd714.pdf data/papers/110470e24d3bd714.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comparing 3D deformations between longitudinal daily CBCT acquisitions using CNN for head and neck radiotherapy toxicity prediction arXiv 2023 https://arxiv.org/pdf/2303.03965v1 47c7cb6b96c20ad7 data/papers/47c7cb6b96c20ad7.pdf data/papers/47c7cb6b96c20ad7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of a T-cell/MHC-I-based immune profile for colorectal liver metastases from CT images using ensemble learning arXiv 2023 https://arxiv.org/pdf/2303.04149v1 ba58e99538835153 data/papers/ba58e99538835153.pdf data/papers/ba58e99538835153.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +VOLTA: an Environment-Aware Contrastive Cell Representation Learning for Histopathology arXiv 2023 https://arxiv.org/pdf/2303.04696v1 2ddbde114bb6cd8e data/papers/2ddbde114bb6cd8e.pdf data/papers/2ddbde114bb6cd8e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Penalized Deep Partially Linear Cox Models with Application to CT Scans of Lung Cancer Patients arXiv 2023 https://arxiv.org/pdf/2303.05341v3 7b57fa443ea26e39 data/papers/7b57fa443ea26e39.pdf data/papers/7b57fa443ea26e39.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs arXiv 2023 https://arxiv.org/pdf/2303.06193v1 d792df712ebc3be5 data/papers/d792df712ebc3be5.pdf data/papers/d792df712ebc3be5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Intelligent diagnostic scheme for lung cancer screening with Raman spectra data by tensor network machine learning arXiv 2023 https://arxiv.org/pdf/2303.06340v1 d70a98dde97e8c1e data/papers/d70a98dde97e8c1e.pdf data/papers/d70a98dde97e8c1e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning interpretable causal networks from very large datasets, application to 400,000 medical records of breast cancer patients arXiv 2023 https://arxiv.org/pdf/2303.06423v1 a143c96de69f2783 data/papers/a143c96de69f2783.pdf data/papers/a143c96de69f2783.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review arXiv 2023 https://arxiv.org/pdf/2303.06471v3 5604c0dd85c2b0ba data/papers/5604c0dd85c2b0ba.pdf data/papers/5604c0dd85c2b0ba.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Endoscopy Classification Model Using Swin Transformer and Saliency Map arXiv 2023 https://arxiv.org/pdf/2303.06736v1 3b08b9cb0110a5b3 data/papers/3b08b9cb0110a5b3.pdf data/papers/3b08b9cb0110a5b3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A new methodology to predict the oncotype scores based on clinico-pathological data with similar tumor profiles arXiv 2023 https://arxiv.org/pdf/2303.06966v1 70c44bd3daaf8eb4 data/papers/70c44bd3daaf8eb4.pdf data/papers/70c44bd3daaf8eb4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation arXiv 2023 https://arxiv.org/pdf/2303.07093v1 351e50054b43c126 data/papers/351e50054b43c126.pdf data/papers/351e50054b43c126.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing arXiv 2023 https://arxiv.org/pdf/2303.07428v1 331d35a1fdc348fa data/papers/331d35a1fdc348fa.pdf data/papers/331d35a1fdc348fa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LRBmat: A Novel Gut Microbial Interaction and Individual Heterogeneity Inference Method for Colorectal Cancer arXiv 2023 https://arxiv.org/pdf/2303.07498v1 96fcafa91faf2b80 data/papers/96fcafa91faf2b80.pdf data/papers/96fcafa91faf2b80.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network arXiv 2023 https://arxiv.org/pdf/2303.07520v1 77d67d6769539e9d data/papers/77d67d6769539e9d.pdf data/papers/77d67d6769539e9d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Cross-institutional Evaluation on Breast Cancer Phenotyping NLP Algorithms on Electronic Health Records arXiv 2023 https://arxiv.org/pdf/2303.08448v1 856820f90aa7d9ac data/papers/856820f90aa7d9ac.pdf data/papers/856820f90aa7d9ac.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EGFR mutation prediction using F18-FDG PET-CT based radiomics features in non-small cell lung cancer arXiv 2023 https://arxiv.org/pdf/2303.08569v1 f3d7d17e8dae045c data/papers/f3d7d17e8dae045c.pdf data/papers/f3d7d17e8dae045c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential arXiv 2023 https://arxiv.org/pdf/2303.09038v3 cb72903f19a36169 data/papers/cb72903f19a36169.pdf data/papers/cb72903f19a36169.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generative Adversarial Network for Personalized Art Therapy in Melanoma Disease Management arXiv 2023 https://arxiv.org/pdf/2303.09232v2 0e22911982ef15b5 data/papers/0e22911982ef15b5.pdf data/papers/0e22911982ef15b5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The NCI Imaging Data Commons as a platform for reproducible research in computational pathology arXiv 2023 https://arxiv.org/pdf/2303.09354v3 ad14d17b17e288dd data/papers/ad14d17b17e288dd.pdf data/papers/ad14d17b17e288dd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable machine learning for time-to-event prediction in medicine and healthcare arXiv 2023 https://arxiv.org/pdf/2303.09817v2 e896666f9d4165b0 data/papers/e896666f9d4165b0.pdf data/papers/e896666f9d4165b0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Histopathology Image based Gene Expression Prediction using Spatial Transcriptomics data and Deep Learning arXiv 2023 https://arxiv.org/pdf/2303.09987v1 4a049913456ac242 data/papers/4a049913456ac242.pdf data/papers/4a049913456ac242.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hematoxylin and eosin stained oral squamous cell carcinoma histological images dataset arXiv 2023 https://arxiv.org/pdf/2303.10172v1 ed9cf2d4f4b275a0 data/papers/ed9cf2d4f4b275a0.pdf data/papers/ed9cf2d4f4b275a0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CerviFormer: A Pap-smear based cervical cancer classification method using cross attention and latent transformer arXiv 2023 https://arxiv.org/pdf/2303.10222v1 68a49973d1a837ca data/papers/68a49973d1a837ca.pdf data/papers/68a49973d1a837ca.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lung segmentation with NASNet-Large-Decoder Net arXiv 2023 https://arxiv.org/pdf/2303.10315v1 ce86015acf949e20 data/papers/ce86015acf949e20.pdf data/papers/ce86015acf949e20.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data arXiv 2023 https://arxiv.org/pdf/2303.10342v1 cf475fad84641016 data/papers/cf475fad84641016.pdf data/papers/cf475fad84641016.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pretrained Vision Models for Predicting High-Risk Breast Cancer Stage arXiv 2023 https://arxiv.org/pdf/2303.10730v1 09d0fe5cb9bca5de data/papers/09d0fe5cb9bca5de.pdf data/papers/09d0fe5cb9bca5de.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study arXiv 2023 https://arxiv.org/pdf/2303.10789v1 c9cdc2d5f56d6559 data/papers/c9cdc2d5f56d6559.pdf data/papers/c9cdc2d5f56d6559.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images arXiv 2023 https://arxiv.org/pdf/2303.11019v1 fcbbc1bcb0c15858 data/papers/fcbbc1bcb0c15858.pdf data/papers/fcbbc1bcb0c15858.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integration of Radiomics and Tumor Biomarkers in Interpretable Machine Learning Models arXiv 2023 https://arxiv.org/pdf/2303.11177v1 e36af9e21af3994f data/papers/e36af9e21af3994f.pdf data/papers/e36af9e21af3994f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Studying Limits of Explainability by Integrated Gradients for Gene Expression Models arXiv 2023 https://arxiv.org/pdf/2303.11336v1 1656e502bf559946 data/papers/1656e502bf559946.pdf data/papers/1656e502bf559946.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models arXiv 2023 https://arxiv.org/pdf/2303.11477v1 2e0bee0bdda7a4ad data/papers/2e0bee0bdda7a4ad.pdf data/papers/2e0bee0bdda7a4ad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Convolutions, Transformers, and their Ensembles for the Segmentation of Organs at Risk in Radiation Treatment of Cervical Cancer arXiv 2023 https://arxiv.org/pdf/2303.11501v1 3176c0562bcd330c data/papers/3176c0562bcd330c.pdf data/papers/3176c0562bcd330c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading arXiv 2023 https://arxiv.org/pdf/2303.11837v1 338e4615e21f2250 data/papers/338e4615e21f2250.pdf data/papers/338e4615e21f2250.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Autofluorescence Bronchoscopy Video Analysis for Lesion Frame Detection arXiv 2023 https://arxiv.org/pdf/2303.12198v1 5acf901d968eab97 data/papers/5acf901d968eab97.pdf data/papers/5acf901d968eab97.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ExBEHRT: Extended Transformer for Electronic Health Records to Predict Disease Subtypes & Progressions arXiv 2023 https://arxiv.org/pdf/2303.12364v3 c313e16bcefbb95e data/papers/c313e16bcefbb95e.pdf data/papers/c313e16bcefbb95e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models arXiv 2023 https://arxiv.org/pdf/2303.12641v2 8187794a0ed30352 data/papers/8187794a0ed30352.pdf data/papers/8187794a0ed30352.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modeling Barrett's Esophagus Progression using Geometric Variational Autoencoders arXiv 2023 https://arxiv.org/pdf/2303.12711v3 71655df795e0d932 data/papers/71655df795e0d932.pdf data/papers/71655df795e0d932.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT arXiv 2023 https://arxiv.org/pdf/2303.12861v3 6703c18848ab6466 data/papers/6703c18848ab6466.pdf data/papers/6703c18848ab6466.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology arXiv 2023 https://arxiv.org/pdf/2303.13405v2 0fb546383958b388 data/papers/0fb546383958b388.pdf data/papers/0fb546383958b388.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning arXiv 2023 https://arxiv.org/pdf/2303.14615v1 d02fb9af68c2e884 data/papers/d02fb9af68c2e884.pdf data/papers/d02fb9af68c2e884.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploring the Interplay Between Colorectal Cancer Subtypes Genomic Variants and Cellular Morphology: A Deep-Learning Approach arXiv 2023 https://arxiv.org/pdf/2303.14703v3 005cf59a3d468e27 data/papers/005cf59a3d468e27.pdf data/papers/005cf59a3d468e27.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma arXiv 2023 https://arxiv.org/pdf/2303.14845v3 4623ba7c1f0cb823 data/papers/4623ba7c1f0cb823.pdf data/papers/4623ba7c1f0cb823.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Label-Free Liver Tumor Segmentation arXiv 2023 https://arxiv.org/pdf/2303.14869v1 f3b739a982006397 data/papers/f3b739a982006397.pdf data/papers/f3b739a982006397.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Colo-SCRL: Self-Supervised Contrastive Representation Learning for Colonoscopic Video Retrieval arXiv 2023 https://arxiv.org/pdf/2303.15671v1 496bf9f8e9560051 data/papers/496bf9f8e9560051.pdf data/papers/496bf9f8e9560051.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images arXiv 2023 https://arxiv.org/pdf/2303.15699v2 2d2c9862837cfc00 data/papers/2d2c9862837cfc00.pdf data/papers/2d2c9862837cfc00.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes arXiv 2023 https://arxiv.org/pdf/2303.15846v1 962a195c143abbab data/papers/962a195c143abbab.pdf data/papers/962a195c143abbab.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Genetic Analysis of Prostate Cancer with Computer Science Methods arXiv 2023 https://arxiv.org/pdf/2303.15851v2 8a2baca85b20f9b2 data/papers/8a2baca85b20f9b2.pdf data/papers/8a2baca85b20f9b2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluating the Effectiveness of 2D and 3D Features for Predicting Tumor Response to Chemotherapy arXiv 2023 https://arxiv.org/pdf/2303.16123v2 c9b5e2d1b0df32c7 data/papers/c9b5e2d1b0df32c7.pdf data/papers/c9b5e2d1b0df32c7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles arXiv 2023 https://arxiv.org/pdf/2303.16533v1 af877b01dc9175e1 data/papers/af877b01dc9175e1.pdf data/papers/af877b01dc9175e1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computationally Efficient Labeling of Cancer Related Forum Posts by Non-Clinical Text Information Retrieval arXiv 2023 https://arxiv.org/pdf/2303.16766v1 bc503fb89b8d3cda data/papers/bc503fb89b8d3cda.pdf data/papers/bc503fb89b8d3cda.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review arXiv 2023 https://arxiv.org/pdf/2303.18005v2 8581a46c520923b3 data/papers/8581a46c520923b3.pdf data/papers/8581a46c520923b3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement arXiv 2023 https://arxiv.org/pdf/2304.00257v2 5b40fca397046fc3 data/papers/5b40fca397046fc3.pdf data/papers/5b40fca397046fc3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models arXiv 2023 https://arxiv.org/pdf/2304.00774v1 ded11a6ec6ea1190 data/papers/ded11a6ec6ea1190.pdf data/papers/ded11a6ec6ea1190.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan arXiv 2023 https://arxiv.org/pdf/2304.01576v1 66287e8fa8504660 data/papers/66287e8fa8504660.pdf data/papers/66287e8fa8504660.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-Net arXiv 2023 https://arxiv.org/pdf/2304.02353v1 095fc38dcee37715 data/papers/095fc38dcee37715.pdf data/papers/095fc38dcee37715.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Revolutionizing Single Cell Analysis: The Power of Large Language Models for Cell Type Annotation arXiv 2023 https://arxiv.org/pdf/2304.02697v1 329e8be4d6c7cb5a data/papers/329e8be4d6c7cb5a.pdf data/papers/329e8be4d6c7cb5a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slides arXiv 2023 https://arxiv.org/pdf/2304.03101v1 cfdffccc5c2478ab data/papers/cfdffccc5c2478ab.pdf data/papers/cfdffccc5c2478ab.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images arXiv 2023 https://arxiv.org/pdf/2304.03537v1 66ec530ae78accbc data/papers/66ec530ae78accbc.pdf data/papers/66ec530ae78accbc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images arXiv 2023 https://arxiv.org/pdf/2304.04507v4 e1038260feeb6302 data/papers/e1038260feeb6302.pdf data/papers/e1038260feeb6302.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model arXiv 2023 https://arxiv.org/pdf/2304.04814v1 2b510eb839684d2a data/papers/2b510eb839684d2a.pdf data/papers/2b510eb839684d2a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DASS Good: Explainable Data Mining of Spatial Cohort Data arXiv 2023 https://arxiv.org/pdf/2304.04870v1 5f92e6016179ed52 data/papers/5f92e6016179ed52.pdf data/papers/5f92e6016179ed52.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep Analysis of Transfer Learning Based Breast Cancer Detection Using Histopathology Images arXiv 2023 https://arxiv.org/pdf/2304.05022v1 a01c70f40c75d1bb data/papers/a01c70f40c75d1bb.pdf data/papers/a01c70f40c75d1bb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Artificial intelligence based prediction on lung cancer risk factors using deep learning arXiv 2023 https://arxiv.org/pdf/2304.05065v1 654ca396263b5cbd data/papers/654ca396263b5cbd.pdf data/papers/654ca396263b5cbd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Regression-based Deep-Learning predicts molecular biomarkers from pathology slides arXiv 2023 https://arxiv.org/pdf/2304.05153v1 8c0a9e6006dae635 data/papers/8c0a9e6006dae635.pdf data/papers/8c0a9e6006dae635.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computational Pathology: A Survey Review and The Way Forward arXiv 2023 https://arxiv.org/pdf/2304.05482v3 f235950f1173453f data/papers/f235950f1173453f.pdf data/papers/f235950f1173453f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data arXiv 2023 https://arxiv.org/pdf/2304.05623v1 f534401653ffe368 data/papers/f534401653ffe368.pdf data/papers/f534401653ffe368.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer-Net BCa-S: Breast Cancer Grade Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging arXiv 2023 https://arxiv.org/pdf/2304.05899v1 b2e278fa5775bd69 data/papers/b2e278fa5775bd69.pdf data/papers/b2e278fa5775bd69.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Improved Heart Disease Prediction Using Stacked Ensemble Method arXiv 2023 https://arxiv.org/pdf/2304.06015v1 c335041a23c2f1ef data/papers/c335041a23c2f1ef.pdf data/papers/c335041a23c2f1ef.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions arXiv 2023 https://arxiv.org/pdf/2304.06662v4 72c38b1f23e26afa data/papers/72c38b1f23e26afa.pdf data/papers/72c38b1f23e26afa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction arXiv 2023 https://arxiv.org/pdf/2304.06819v2 c58a4943dd168207 data/papers/c58a4943dd168207.pdf data/papers/c58a4943dd168207.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer arXiv 2023 https://arxiv.org/pdf/2304.07295v2 e7517a15a1986a13 data/papers/e7517a15a1986a13.pdf data/papers/e7517a15a1986a13.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Supervised Machine Learning for Breast Cancer Risk Factors Analysis and Survival Prediction arXiv 2023 https://arxiv.org/pdf/2304.07299v1 01daa3f45196fb24 data/papers/01daa3f45196fb24.pdf data/papers/01daa3f45196fb24.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Masked Pre-Training of Transformers for Histology Image Analysis arXiv 2023 https://arxiv.org/pdf/2304.07434v1 189fdeac5057a4f7 data/papers/189fdeac5057a4f7.pdf data/papers/189fdeac5057a4f7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using Geographic Location-based Public Health Features in Survival Analysis arXiv 2023 https://arxiv.org/pdf/2304.07679v1 9aa1d8e07f033bbd data/papers/9aa1d8e07f033bbd.pdf data/papers/9aa1d8e07f033bbd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients arXiv 2023 https://arxiv.org/pdf/2304.08106v2 eef25be34e4172ea data/papers/eef25be34e4172ea.pdf data/papers/eef25be34e4172ea.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EfficientNet Algorithm for Classification of Different Types of Cancer arXiv 2023 https://arxiv.org/pdf/2304.08715v3 6a3ab18a56224b90 data/papers/6a3ab18a56224b90.pdf data/papers/6a3ab18a56224b90.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detection and Classification of Glioblastoma Brain Tumor arXiv 2023 https://arxiv.org/pdf/2304.09133v1 b601f83efa35eadb data/papers/b601f83efa35eadb.pdf data/papers/b601f83efa35eadb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging arXiv 2023 https://arxiv.org/pdf/2304.09254v1 8fda2f2801959b8d data/papers/8fda2f2801959b8d.pdf data/papers/8fda2f2801959b8d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides arXiv 2023 https://arxiv.org/pdf/2304.09314v1 d289d369db825004 data/papers/d289d369db825004.pdf data/papers/d289d369db825004.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The impact of the AI revolution on asset management arXiv 2023 https://arxiv.org/pdf/2304.10212v2 2ce28c4a7a5c2a7e data/papers/2ce28c4a7a5c2a7e.pdf data/papers/2ce28c4a7a5c2a7e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast cancer detection using deep learning arXiv 2023 https://arxiv.org/pdf/2304.10386v1 37925dfe024146a4 data/papers/37925dfe024146a4.pdf data/papers/37925dfe024146a4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multidimensional Uncertainty Quantification for Deep Neural Networks arXiv 2023 https://arxiv.org/pdf/2304.10527v1 50f778efb16b5352 data/papers/50f778efb16b5352.pdf data/papers/50f778efb16b5352.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-domain Denoising for Low-dose Multi-frame Spiral Computed Tomography arXiv 2023 https://arxiv.org/pdf/2304.10839v4 a5e9cb61c779c943 data/papers/a5e9cb61c779c943.pdf data/papers/a5e9cb61c779c943.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models arXiv 2023 https://arxiv.org/pdf/2304.10946v1 8c405fd391375fe5 data/papers/8c405fd391375fe5.pdf data/papers/8c405fd391375fe5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep-Learning-based Fast and Accurate 3D CT Deformable Image Registration in Lung Cancer arXiv 2023 https://arxiv.org/pdf/2304.11135v1 725126d71bc994fa data/papers/725126d71bc994fa.pdf data/papers/725126d71bc994fa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep Neural Network Deployment Based on Resistive Memory Accelerator Simulation arXiv 2023 https://arxiv.org/pdf/2304.11337v1 85134eab3f1c5843 data/papers/85134eab3f1c5843.pdf data/papers/85134eab3f1c5843.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Immunohistochemistry Biomarkers-Guided Image Search for Histopathology arXiv 2023 https://arxiv.org/pdf/2304.12424v1 1d81953d2407fb9f data/papers/1d81953d2407fb9f.pdf data/papers/1d81953d2407fb9f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification arXiv 2023 https://arxiv.org/pdf/2304.13145v2 8e19b741aeae0558 data/papers/8e19b741aeae0558.pdf data/papers/8e19b741aeae0558.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GENIE-NF-AI: Identifying Neurofibromatosis Tumors using Liquid Neural Network (LTC) trained on AACR GENIE Datasets arXiv 2023 https://arxiv.org/pdf/2304.13429v1 6ef8a9d66625e37a data/papers/6ef8a9d66625e37a.pdf data/papers/6ef8a9d66625e37a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Imitation Learning for Automated Drop-In Gamma Probe Manipulation arXiv 2023 https://arxiv.org/pdf/2304.14294v1 11bbc8065c4059f5 data/papers/11bbc8065c4059f5.pdf data/papers/11bbc8065c4059f5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Blind Signal Separation for Fast Ultrasound Computed Tomography arXiv 2023 https://arxiv.org/pdf/2304.14424v1 a1b6a03462a546d4 data/papers/a1b6a03462a546d4.pdf data/papers/a1b6a03462a546d4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unified Noise-aware Network for Low-count PET Denoising arXiv 2023 https://arxiv.org/pdf/2304.14900v1 3f7a5d6cfbc3f32e data/papers/3f7a5d6cfbc3f32e.pdf data/papers/3f7a5d6cfbc3f32e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An automated end-to-end deep learning-based framework for lung cancer diagnosis by detecting and classifying the lung nodules arXiv 2023 https://arxiv.org/pdf/2305.00046v2 019e69cca085ea41 data/papers/019e69cca085ea41.pdf data/papers/019e69cca085ea41.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A novel algorithm can generate data to train machine learning models in conditions of extreme scarcity of real world data arXiv 2023 https://arxiv.org/pdf/2305.00987v1 f64b1923331999bc data/papers/f64b1923331999bc.pdf data/papers/f64b1923331999bc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer-inspired Genomics Mapper Model for the Generation of Synthetic DNA Sequences with Desired Genomics Signatures arXiv 2023 https://arxiv.org/pdf/2305.01475v1 9312526efcd7fcea data/papers/9312526efcd7fcea.pdf data/papers/9312526efcd7fcea.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture arXiv 2023 https://arxiv.org/pdf/2305.01968v1 b20fe0e245330f3a data/papers/b20fe0e245330f3a.pdf data/papers/b20fe0e245330f3a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification arXiv 2023 https://arxiv.org/pdf/2305.02032v1 5452d5e48a794d70 data/papers/5452d5e48a794d70.pdf data/papers/5452d5e48a794d70.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Diagnosis Using Machine Learning Techniques arXiv 2023 https://arxiv.org/pdf/2305.02482v1 e7e6c441839c5b26 data/papers/e7e6c441839c5b26.pdf data/papers/e7e6c441839c5b26.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using Spatio-Temporal Dual-Stream Network with Self-Supervised Learning for Lung Tumor Classification on Radial Probe Endobronchial Ultrasound Video arXiv 2023 https://arxiv.org/pdf/2305.02719v2 46e25b5ae8c24521 data/papers/46e25b5ae8c24521.pdf data/papers/46e25b5ae8c24521.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval arXiv 2023 https://arxiv.org/pdf/2305.03383v1 f16f734fe411ba84 data/papers/f16f734fe411ba84.pdf data/papers/f16f734fe411ba84.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Cancer Hallmark Classification with BERT-based Deep Learning Approach arXiv 2023 https://arxiv.org/pdf/2305.03501v2 5bb1be8fef2a4c65 data/papers/5bb1be8fef2a4c65.pdf data/papers/5bb1be8fef2a4c65.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review arXiv 2023 https://arxiv.org/pdf/2305.03546v2 4f536c2d2cd16c4d data/papers/4f536c2d2cd16c4d.pdf data/papers/4f536c2d2cd16c4d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fuzzy Gene Selection and Cancer Classification Based on Deep Learning Model arXiv 2023 https://arxiv.org/pdf/2305.04883v1 0dc6af3636584663 data/papers/0dc6af3636584663.pdf data/papers/0dc6af3636584663.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout arXiv 2023 https://arxiv.org/pdf/2305.05006v2 56334bfb70fcc5b6 data/papers/56334bfb70fcc5b6.pdf data/papers/56334bfb70fcc5b6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images arXiv 2023 https://arxiv.org/pdf/2305.05314v3 6b26f90ec0bbb136 data/papers/6b26f90ec0bbb136.pdf data/papers/6b26f90ec0bbb136.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issues arXiv 2023 https://arxiv.org/pdf/2305.05807v2 e8f8bcf1dfac277c data/papers/e8f8bcf1dfac277c.pdf data/papers/e8f8bcf1dfac277c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Brain Tumor Detection using Swin Transformers arXiv 2023 https://arxiv.org/pdf/2305.06025v1 f9ef930f8df337e3 data/papers/f9ef930f8df337e3.pdf data/papers/f9ef930f8df337e3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interstitial flow potentiates TGF-$β$/Smad-signaling activity in lung cancer spheroids in a 3D-microfluidic chip arXiv 2023 https://arxiv.org/pdf/2305.06661v2 8eab7c81b4009719 data/papers/8eab7c81b4009719.pdf data/papers/8eab7c81b4009719.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers arXiv 2023 https://arxiv.org/pdf/2305.06963v1 3cee9a3f1b2d54d0 data/papers/3cee9a3f1b2d54d0.pdf data/papers/3cee9a3f1b2d54d0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Color Deconvolution applied to Domain Adaptation in HER2 histopathological images arXiv 2023 https://arxiv.org/pdf/2305.07404v1 57e26818a22e22bd data/papers/57e26818a22e22bd.pdf data/papers/57e26818a22e22bd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +eXplainable Artificial Intelligence on Medical Images: A Survey arXiv 2023 https://arxiv.org/pdf/2305.07511v1 43075146ae611cd3 data/papers/43075146ae611cd3.pdf data/papers/43075146ae611cd3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +On-line Dose Calculation Using Deep Learning for Beams Selection in Non-Coplanar Radiotherapy arXiv 2023 https://arxiv.org/pdf/2305.07551v2 a4e7da9a86dc8b2a data/papers/a4e7da9a86dc8b2a.pdf data/papers/a4e7da9a86dc8b2a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Text2Cohort: Facilitating Intuitive Access to Biomedical Data with Natural Language Cohort Discovery arXiv 2023 https://arxiv.org/pdf/2305.07637v3 c74e3c97e0202d64 data/papers/c74e3c97e0202d64.pdf data/papers/c74e3c97e0202d64.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Osteosarcoma Tumor Detection using Transfer Learning Models arXiv 2023 https://arxiv.org/pdf/2305.09660v1 a7b86101cf36e0f0 data/papers/a7b86101cf36e0f0.pdf data/papers/a7b86101cf36e0f0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images arXiv 2023 https://arxiv.org/pdf/2305.09946v3 24e04ca7db5de856 data/papers/24e04ca7db5de856.pdf data/papers/24e04ca7db5de856.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach arXiv 2023 https://arxiv.org/pdf/2305.10041v1 e74f3ea4ba7253ae data/papers/e74f3ea4ba7253ae.pdf data/papers/e74f3ea4ba7253ae.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised Quality Evaluation of Colonoscopy Procedures arXiv 2023 https://arxiv.org/pdf/2305.10090v1 5a17d58d58ac05af data/papers/5a17d58d58ac05af.pdf data/papers/5a17d58d58ac05af.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Solitary pulmonary nodules prediction for lung cancer patients using nomogram and machine learning arXiv 2023 https://arxiv.org/pdf/2305.10466v1 a0df6b5b1c4447ed data/papers/a0df6b5b1c4447ed.pdf data/papers/a0df6b5b1c4447ed.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +At-Admission Prediction of Mortality and Pulmonary Embolism in COVID-19 Patients Using Statistical and Machine Learning Methods: An International Cohort Study arXiv 2023 https://arxiv.org/pdf/2305.11199v1 39e3e84936102b87 data/papers/39e3e84936102b87.pdf data/papers/39e3e84936102b87.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset arXiv 2023 https://arxiv.org/pdf/2305.12068v1 100f3cd6dd088611 data/papers/100f3cd6dd088611.pdf data/papers/100f3cd6dd088611.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Segmentation using Attention-based Convolutional Network and Explainable AI arXiv 2023 https://arxiv.org/pdf/2305.14389v2 a739a1cf168ffd89 data/papers/a739a1cf168ffd89.pdf data/papers/a739a1cf168ffd89.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification arXiv 2023 https://arxiv.org/pdf/2305.15773v1 24a7c3c81134e19a data/papers/24a7c3c81134e19a.pdf data/papers/24a7c3c81134e19a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs) arXiv 2023 https://arxiv.org/pdf/2305.17033v7 db0fa47e255d3fbe data/papers/db0fa47e255d3fbe.pdf data/papers/db0fa47e255d3fbe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans arXiv 2023 https://arxiv.org/pdf/2305.17871v1 ca5e7f588bb8024c data/papers/ca5e7f588bb8024c.pdf data/papers/ca5e7f588bb8024c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification arXiv 2023 https://arxiv.org/pdf/2305.17891v2 b4808270b7161680 data/papers/b4808270b7161680.pdf data/papers/b4808270b7161680.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue arXiv 2023 https://arxiv.org/pdf/2305.18033v1 601e857ef9820e4a data/papers/601e857ef9820e4a.pdf data/papers/601e857ef9820e4a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generative Adversarial Networks based Skin Lesion Segmentation arXiv 2023 https://arxiv.org/pdf/2305.18164v2 b0f7fbce010a5a90 data/papers/b0f7fbce010a5a90.pdf data/papers/b0f7fbce010a5a90.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Understanding Breast Cancer Survival: Using Causality and Language Models on Multi-omics Data arXiv 2023 https://arxiv.org/pdf/2305.18410v1 434ebfc47f921844 data/papers/434ebfc47f921844.pdf data/papers/434ebfc47f921844.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Beam mask and sliding window-facilitated deep learning-based accurate and efficient dose prediction for pencil beam scanning proton therapy arXiv 2023 https://arxiv.org/pdf/2305.18572v1 c1bc3dc868661c31 data/papers/c1bc3dc868661c31.pdf data/papers/c1bc3dc868661c31.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions arXiv 2023 https://arxiv.org/pdf/2305.18830v1 d57afcd8ee431cbb data/papers/d57afcd8ee431cbb.pdf data/papers/d57afcd8ee431cbb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa) arXiv 2023 https://arxiv.org/pdf/2305.19369v1 b61dac4fa03147c6 data/papers/b61dac4fa03147c6.pdf data/papers/b61dac4fa03147c6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Detection and Diagnosis: A comparative study of state-of-the-arts deep learning architectures arXiv 2023 https://arxiv.org/pdf/2305.19937v1 f03a5daa1993c84b data/papers/f03a5daa1993c84b.pdf data/papers/f03a5daa1993c84b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Image Registration of In Vivo Micro-Ultrasound and Ex Vivo Pseudo-Whole Mount Histopathology Images of the Prostate: A Proof-of-Concept Study arXiv 2023 https://arxiv.org/pdf/2305.19939v2 11f8d39a5963d76a data/papers/11f8d39a5963d76a.pdf data/papers/11f8d39a5963d76a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploring Regions of Interest: Visualizing Histological Image Classification for Breast Cancer using Deep Learning arXiv 2023 https://arxiv.org/pdf/2305.20058v1 9069cc9e999cf4b0 data/papers/9069cc9e999cf4b0.pdf data/papers/9069cc9e999cf4b0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning Approach for Cancer Entities Association and Classification arXiv 2023 https://arxiv.org/pdf/2306.00013v2 10359ee4b6765227 data/papers/10359ee4b6765227.pdf data/papers/10359ee4b6765227.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diagnosis and Prognosis of Head and Neck Cancer Patients using Artificial Intelligence arXiv 2023 https://arxiv.org/pdf/2306.00034v1 4a98ee5ff5f673d7 data/papers/4a98ee5ff5f673d7.pdf data/papers/4a98ee5ff5f673d7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Label- and slide-free tissue histology using 3D epi-mode quantitative phase imaging and virtual H&E staining arXiv 2023 https://arxiv.org/pdf/2306.00548v1 1b3cee112bbaa9a2 data/papers/1b3cee112bbaa9a2.pdf data/papers/1b3cee112bbaa9a2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects Across Studies Using Statistical Machine Learning arXiv 2023 https://arxiv.org/pdf/2306.01086v3 359204182a6a227f data/papers/359204182a6a227f.pdf data/papers/359204182a6a227f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review arXiv 2023 https://arxiv.org/pdf/2306.01546v2 b69180a2d8dd97ea data/papers/b69180a2d8dd97ea.pdf data/papers/b69180a2d8dd97ea.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Power Of Simplicity: Why Simple Linear Models Outperform Complex Machine Learning Techniques -- Case Of Breast Cancer Diagnosis arXiv 2023 https://arxiv.org/pdf/2306.02449v1 330cbcd779d6a113 data/papers/330cbcd779d6a113.pdf data/papers/330cbcd779d6a113.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Permutation Decision Trees arXiv 2023 https://arxiv.org/pdf/2306.02617v3 cb7f50840710b09e data/papers/cb7f50840710b09e.pdf data/papers/cb7f50840710b09e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optimal transport for automatic alignment of untargeted metabolomic data arXiv 2023 https://arxiv.org/pdf/2306.03218v4 22dd36deb0bd8527 data/papers/22dd36deb0bd8527.pdf data/papers/22dd36deb0bd8527.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluation of software impact designed for biomedical research: Are we measuring what's meaningful? arXiv 2023 https://arxiv.org/pdf/2306.03255v1 63c6362512c71eac data/papers/63c6362512c71eac.pdf data/papers/63c6362512c71eac.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LESS: Label-efficient Multi-scale Learning for Cytological Whole Slide Image Screening arXiv 2023 https://arxiv.org/pdf/2306.03407v2 c3ceb38584554c95 data/papers/c3ceb38584554c95.pdf data/papers/c3ceb38584554c95.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection arXiv 2023 https://arxiv.org/pdf/2306.03686v2 65ffd74f458f9819 data/papers/65ffd74f458f9819.pdf data/papers/65ffd74f458f9819.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ColNav: Real-Time Colon Navigation for Colonoscopy arXiv 2023 https://arxiv.org/pdf/2306.04269v1 155fad363f432102 data/papers/155fad363f432102.pdf data/papers/155fad363f432102.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Context-Aware Self-Supervised Learning of Whole Slide Images arXiv 2023 https://arxiv.org/pdf/2306.04763v1 d74e117f3f754cec data/papers/d74e117f3f754cec.pdf data/papers/d74e117f3f754cec.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Incorporating Prior Knowledge in Deep Learning Models via Pathway Activity Autoencoders arXiv 2023 https://arxiv.org/pdf/2306.05813v1 9701b4b3cf5d0084 data/papers/9701b4b3cf5d0084.pdf data/papers/9701b4b3cf5d0084.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesions arXiv 2023 https://arxiv.org/pdf/2306.05912v1 9df3197e6a0a5557 data/papers/9df3197e6a0a5557.pdf data/papers/9df3197e6a0a5557.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sound Explanation for Trustworthy Machine Learning arXiv 2023 https://arxiv.org/pdf/2306.06134v1 9e1c7c39b5c41c6f data/papers/9e1c7c39b5c41c6f.pdf data/papers/9e1c7c39b5c41c6f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrastive Learning for Predicting Cancer Prognosis Using Gene Expression Values arXiv 2023 https://arxiv.org/pdf/2306.06276v4 56410cbdf5dbe965 data/papers/56410cbdf5dbe965.pdf data/papers/56410cbdf5dbe965.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PLPCA: Persistent Laplacian Enhanced-PCA for Microarray Data Analysis arXiv 2023 https://arxiv.org/pdf/2306.06292v1 dfe60cbde01996d4 data/papers/dfe60cbde01996d4.pdf data/papers/dfe60cbde01996d4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning Based Missing Values Imputation in Categorical Datasets arXiv 2023 https://arxiv.org/pdf/2306.06338v3 ebbb6f1f3971bbe1 data/papers/ebbb6f1f3971bbe1.pdf data/papers/ebbb6f1f3971bbe1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mandarin Electrolaryngeal Speech Voice Conversion using Cross-domain Features arXiv 2023 https://arxiv.org/pdf/2306.06653v1 ee0f77bd8018a049 data/papers/ee0f77bd8018a049.pdf data/papers/ee0f77bd8018a049.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images arXiv 2023 https://arxiv.org/pdf/2306.06982v1 75de6fb2afe35286 data/papers/75de6fb2afe35286.pdf data/papers/75de6fb2afe35286.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images arXiv 2023 https://arxiv.org/pdf/2306.07831v1 062dab7919e43f5d data/papers/062dab7919e43f5d.pdf data/papers/062dab7919e43f5d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unbalanced Diffusion Schrödinger Bridge arXiv 2023 https://arxiv.org/pdf/2306.09099v1 b8b32cf11beb46dc data/papers/b8b32cf11beb46dc.pdf data/papers/b8b32cf11beb46dc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learnable Weight Initialization for Volumetric Medical Image Segmentation arXiv 2023 https://arxiv.org/pdf/2306.09320v4 3ca4a5411169cffc data/papers/3ca4a5411169cffc.pdf data/papers/3ca4a5411169cffc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Development of a Deep Learning System for Intra-Operative Identification of Cancer Metastases arXiv 2023 https://arxiv.org/pdf/2306.10380v1 5e6e243ef348e2a0 data/papers/5e6e243ef348e2a0.pdf data/papers/5e6e243ef348e2a0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FP-IRL: Fokker-Planck-based Inverse Reinforcement Learning -- A Physics-Constrained Approach to Markov Decision Processes arXiv 2023 https://arxiv.org/pdf/2306.10407v1 190dc6072f30b8f2 data/papers/190dc6072f30b8f2.pdf data/papers/190dc6072f30b8f2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification arXiv 2023 https://arxiv.org/pdf/2306.10676v1 8c0da444beec99ae data/papers/8c0da444beec99ae.pdf data/papers/8c0da444beec99ae.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer arXiv 2023 https://arxiv.org/pdf/2306.10805v2 1f0c3a9b96951ff5 data/papers/1f0c3a9b96951ff5.pdf data/papers/1f0c3a9b96951ff5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging arXiv 2023 https://arxiv.org/pdf/2306.11137v1 de144bc480cd6616 data/papers/de144bc480cd6616.pdf data/papers/de144bc480cd6616.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning arXiv 2023 https://arxiv.org/pdf/2306.11208v1 2a7abd680ef6f07c data/papers/2a7abd680ef6f07c.pdf data/papers/2a7abd680ef6f07c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dermoscopic Dark Corner Artifacts Removal: Friend or Foe? arXiv 2023 https://arxiv.org/pdf/2306.13446v1 1a483178bb3786a1 data/papers/1a483178bb3786a1.pdf data/papers/1a483178bb3786a1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient Online Processing with Deep Neural Networks arXiv 2023 https://arxiv.org/pdf/2306.13474v1 a2825389d8956b5a data/papers/a2825389d8956b5a.pdf data/papers/a2825389d8956b5a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MIRACLE: Multi-task Learning based Interpretable Regulation of Autoimmune Diseases through Common Latent Epigenetics arXiv 2023 https://arxiv.org/pdf/2306.13866v2 beaaba2a26614cc4 data/papers/beaaba2a26614cc4.pdf data/papers/beaaba2a26614cc4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Classification of High-Dimensional Data using Data-Adaptive Energy Distance arXiv 2023 https://arxiv.org/pdf/2306.13985v2 d5d67941ea367c84 data/papers/d5d67941ea367c84.pdf data/papers/d5d67941ea367c84.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-Net arXiv 2023 https://arxiv.org/pdf/2306.14255v1 3e2d62a02d4c4e14 data/papers/3e2d62a02d4c4e14.pdf data/papers/3e2d62a02d4c4e14.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding arXiv 2023 https://arxiv.org/pdf/2306.14596v3 33ef1e0401e8f6e9 data/papers/33ef1e0401e8f6e9.pdf data/papers/33ef1e0401e8f6e9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer arXiv 2023 https://arxiv.org/pdf/2306.14646v1 648ea1909979c468 data/papers/648ea1909979c468.pdf data/papers/648ea1909979c468.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Structured State Space Models for Multiple Instance Learning in Digital Pathology arXiv 2023 https://arxiv.org/pdf/2306.15789v1 a42cf22acb86debe data/papers/a42cf22acb86debe.pdf data/papers/a42cf22acb86debe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An end-to-end framework for gene expression classification by integrating a background knowledge graph: application to cancer prognosis prediction arXiv 2023 https://arxiv.org/pdf/2306.17202v1 9360ff58e691e1f7 data/papers/9360ff58e691e1f7.pdf data/papers/9360ff58e691e1f7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models arXiv 2023 https://arxiv.org/pdf/2306.17361v2 c4b7eb45f59cfa91 data/papers/c4b7eb45f59cfa91.pdf data/papers/c4b7eb45f59cfa91.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image arXiv 2023 https://arxiv.org/pdf/2306.17373v1 d71907be940186d4 data/papers/d71907be940186d4.pdf data/papers/d71907be940186d4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Precision Anti-Cancer Drug Selection via Neural Ranking arXiv 2023 https://arxiv.org/pdf/2306.17771v1 e125f060fda38ee0 data/papers/e125f060fda38ee0.pdf data/papers/e125f060fda38ee0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis Across the Spectrum arXiv 2023 https://arxiv.org/pdf/2307.00324v1 b6000a062c8bc1eb data/papers/b6000a062c8bc1eb.pdf data/papers/b6000a062c8bc1eb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification arXiv 2023 https://arxiv.org/pdf/2307.00479v2 420b8839bb92dbe4 data/papers/420b8839bb92dbe4.pdf data/papers/420b8839bb92dbe4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity arXiv 2023 https://arxiv.org/pdf/2307.00558v1 4cef9a5c482a2c93 data/papers/4cef9a5c482a2c93.pdf data/papers/4cef9a5c482a2c93.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data-Driven Information Extraction and Enrichment of Molecular Profiling Data for Cancer Cell Lines arXiv 2023 https://arxiv.org/pdf/2307.00933v2 3367e2891cbae130 data/papers/3367e2891cbae130.pdf data/papers/3367e2891cbae130.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation via Backpropagating Refinement arXiv 2023 https://arxiv.org/pdf/2307.01015v1 a12a759d53468f8f data/papers/a12a759d53468f8f.pdf data/papers/a12a759d53468f8f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integrating Random Forests and Generalized Linear Models for Improved Accuracy and Interpretability arXiv 2023 https://arxiv.org/pdf/2307.01932v2 341dbecc4f20755e data/papers/341dbecc4f20755e.pdf data/papers/341dbecc4f20755e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data arXiv 2023 https://arxiv.org/pdf/2307.03575v1 e49d753071d14c3a data/papers/e49d753071d14c3a.pdf data/papers/e49d753071d14c3a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Novel Pipeline for Diagnosing Acute Lymphoblastic Leukemia Sensitive to Related Biomarkers arXiv 2023 https://arxiv.org/pdf/2307.04014v3 c649c9a571f214b9 data/papers/c649c9a571f214b9.pdf data/papers/c649c9a571f214b9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data arXiv 2023 https://arxiv.org/pdf/2307.04075v3 33d3f380433ee3a0 data/papers/33d3f380433ee3a0.pdf data/papers/33d3f380433ee3a0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans arXiv 2023 https://arxiv.org/pdf/2307.04525v2 30a7c0fed4bd747a data/papers/30a7c0fed4bd747a.pdf data/papers/30a7c0fed4bd747a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Considerations for Master Protocols Using External Controls arXiv 2023 https://arxiv.org/pdf/2307.05050v2 82eb500f1b4891e4 data/papers/82eb500f1b4891e4.pdf data/papers/82eb500f1b4891e4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3D Medical Image Segmentation based on multi-scale MPU-Net arXiv 2023 https://arxiv.org/pdf/2307.05799v2 6210040d6e3434de data/papers/6210040d6e3434de.pdf data/papers/6210040d6e3434de.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UGCANet: A Unified Global Context-Aware Transformer-based Network with Feature Alignment for Endoscopic Image Analysis arXiv 2023 https://arxiv.org/pdf/2307.06260v1 ed965f203d942d5e data/papers/ed965f203d942d5e.pdf data/papers/ed965f203d942d5e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Whole Pathological Slide Classification via Weakly Supervised Learning arXiv 2023 https://arxiv.org/pdf/2307.06344v1 6df171b8cec83c6a data/papers/6df171b8cec83c6a.pdf data/papers/6df171b8cec83c6a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation arXiv 2023 https://arxiv.org/pdf/2307.06420v1 b476fa05e68955d1 data/papers/b476fa05e68955d1.pdf data/papers/b476fa05e68955d1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks arXiv 2023 https://arxiv.org/pdf/2307.06547v1 31fbb6889590d874 data/papers/31fbb6889590d874.pdf data/papers/31fbb6889590d874.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation arXiv 2023 https://arxiv.org/pdf/2307.07168v1 bb31e1689a4d097d data/papers/bb31e1689a4d097d.pdf data/papers/bb31e1689a4d097d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Structured Pruning of Neural Networks for Constraints Learning arXiv 2023 https://arxiv.org/pdf/2307.07457v1 28dc4c1edaf20577 data/papers/28dc4c1edaf20577.pdf data/papers/28dc4c1edaf20577.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual-Query Multiple Instance Learning for Dynamic Meta-Embedding based Tumor Classification arXiv 2023 https://arxiv.org/pdf/2307.07482v2 729f2bb9f080a42d data/papers/729f2bb9f080a42d.pdf data/papers/729f2bb9f080a42d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis arXiv 2023 https://arxiv.org/pdf/2307.08132v1 b742a96e074ddc7b data/papers/b742a96e074ddc7b.pdf data/papers/b742a96e074ddc7b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SBMLtoODEjax: Efficient Simulation and Optimization of Biological Network Models in JAX arXiv 2023 https://arxiv.org/pdf/2307.08452v2 0dfdcc362ffcc775 data/papers/0dfdcc362ffcc775.pdf data/papers/0dfdcc362ffcc775.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Kernel-Based Testing for Single-Cell Differential Analysis arXiv 2023 https://arxiv.org/pdf/2307.08509v3 b8a5c7553f27928e data/papers/b8a5c7553f27928e.pdf data/papers/b8a5c7553f27928e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine-Learning-based Colorectal Tissue Classification via Acoustic Resolution Photoacoustic Microscopy arXiv 2023 https://arxiv.org/pdf/2307.08556v1 216380a88cf7a826 data/papers/216380a88cf7a826.pdf data/papers/216380a88cf7a826.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DiffDP: Radiotherapy Dose Prediction via a Diffusion Model arXiv 2023 https://arxiv.org/pdf/2307.09794v1 9164b8769638379b data/papers/9164b8769638379b.pdf data/papers/9164b8769638379b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Automated Semantic Segmentation in Mammography Images arXiv 2023 https://arxiv.org/pdf/2307.10296v1 9bc1dc3ac121b9cb data/papers/9bc1dc3ac121b9cb.pdf data/papers/9bc1dc3ac121b9cb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Discriminative Visual-Text Representation for Polyp Re-Identification arXiv 2023 https://arxiv.org/pdf/2307.10625v1 77c99bce2a0ab84f data/papers/77c99bce2a0ab84f.pdf data/papers/77c99bce2a0ab84f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists arXiv 2023 https://arxiv.org/pdf/2307.10824v1 df2a778b5cd14909 data/papers/df2a778b5cd14909.pdf data/papers/df2a778b5cd14909.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention arXiv 2023 https://arxiv.org/pdf/2307.11253v1 85a3cfa50d1f6dbb data/papers/85a3cfa50d1f6dbb.pdf data/papers/85a3cfa50d1f6dbb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SimCol3D -- 3D Reconstruction during Colonoscopy Challenge arXiv 2023 https://arxiv.org/pdf/2307.11261v2 344a38f43df90c99 data/papers/344a38f43df90c99.pdf data/papers/344a38f43df90c99.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Screening Mammography Breast Cancer Detection arXiv 2023 https://arxiv.org/pdf/2307.11274v1 21ea03c190c5ee13 data/papers/21ea03c190c5ee13.pdf data/papers/21ea03c190c5ee13.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values arXiv 2023 https://arxiv.org/pdf/2307.11465v5 b0320eaea24add65 data/papers/b0320eaea24add65.pdf data/papers/b0320eaea24add65.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A New Deep State-Space Analysis Framework for Patient Latent State Estimation and Classification from EHR Time Series Data arXiv 2023 https://arxiv.org/pdf/2307.11487v1 1093646a1301db3c data/papers/1093646a1301db3c.pdf data/papers/1093646a1301db3c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design arXiv 2023 https://arxiv.org/pdf/2307.11694v2 4b581c371673b5bd data/papers/4b581c371673b5bd.pdf data/papers/4b581c371673b5bd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping arXiv 2023 https://arxiv.org/pdf/2307.11989v1 3929e74ec95f6e6c data/papers/3929e74ec95f6e6c.pdf data/papers/3929e74ec95f6e6c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy arXiv 2023 https://arxiv.org/pdf/2307.12005v1 a621f7bad0217071 data/papers/a621f7bad0217071.pdf data/papers/a621f7bad0217071.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep neural network improves the estimation of polygenic risk scores for breast cancer arXiv 2023 https://arxiv.org/pdf/2307.13010v1 9b24f171891c2e39 data/papers/9b24f171891c2e39.pdf data/papers/9b24f171891c2e39.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Feature Gradient Flow for Interpreting Deep Neural Networks in Head and Neck Cancer Prediction arXiv 2023 https://arxiv.org/pdf/2307.13061v1 88aca5fc770d28cf data/papers/88aca5fc770d28cf.pdf data/papers/88aca5fc770d28cf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +On the application of Gaussian graphical models to paired data problems arXiv 2023 https://arxiv.org/pdf/2307.14160v2 c95db970326baabb data/papers/c95db970326baabb.pdf data/papers/c95db970326baabb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Hybrid Machine Learning Model for Classifying Gene Mutations in Cancer using LSTM, BiLSTM, CNN, GRU, and GloVe arXiv 2023 https://arxiv.org/pdf/2307.14361v3 7fcb7a4cfff46f6c data/papers/7fcb7a4cfff46f6c.pdf data/papers/7fcb7a4cfff46f6c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery arXiv 2023 https://arxiv.org/pdf/2307.14520v1 15046f385cd7c672 data/papers/15046f385cd7c672.pdf data/papers/15046f385cd7c672.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples arXiv 2023 https://arxiv.org/pdf/2307.14907v1 bdb6ead72c3d8eb8 data/papers/bdb6ead72c3d8eb8.pdf data/papers/bdb6ead72c3d8eb8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mathematical Modeling of BCG-based Bladder Cancer Treatment Using Socio-Demographics arXiv 2023 https://arxiv.org/pdf/2307.15084v1 8f7ae4ac64fa58c0 data/papers/8f7ae4ac64fa58c0.pdf data/papers/8f7ae4ac64fa58c0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification arXiv 2023 https://arxiv.org/pdf/2307.15254v3 f1314a629366fbc5 data/papers/f1314a629366fbc5.pdf data/papers/f1314a629366fbc5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anatomy-Aware Lymph Node Detection in Chest CT using Implicit Station Stratification arXiv 2023 https://arxiv.org/pdf/2307.15271v1 d5b22ea8b35a9036 data/papers/d5b22ea8b35a9036.pdf data/papers/d5b22ea8b35a9036.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation arXiv 2023 https://arxiv.org/pdf/2307.15645v1 c9d52fd5cdc0de01 data/papers/c9d52fd5cdc0de01.pdf data/papers/c9d52fd5cdc0de01.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gastrointestinal Mucosal Problems Classification with Deep Learning arXiv 2023 https://arxiv.org/pdf/2307.16198v1 edb88ffd9ae8f0c0 data/papers/edb88ffd9ae8f0c0.pdf data/papers/edb88ffd9ae8f0c0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer arXiv 2023 https://arxiv.org/pdf/2308.00507v2 2248eba291d998f7 data/papers/2248eba291d998f7.pdf data/papers/2248eba291d998f7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Discriminative Representation with Meta-learning for Colonoscopic Polyp Re-Identification arXiv 2023 https://arxiv.org/pdf/2308.00929v2 497614af6c12eda5 data/papers/497614af6c12eda5.pdf data/papers/497614af6c12eda5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening arXiv 2023 https://arxiv.org/pdf/2308.01057v1 d61cacb6df5ea33b data/papers/d61cacb6df5ea33b.pdf data/papers/d61cacb6df5ea33b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A vision transformer-based framework for knowledge transfer from multi-modal to mono-modal lymphoma subtyping models arXiv 2023 https://arxiv.org/pdf/2308.01328v3 e01c2279ef168ea3 data/papers/e01c2279ef168ea3.pdf data/papers/e01c2279ef168ea3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sequence-Based Nanobody-Antigen Binding Prediction arXiv 2023 https://arxiv.org/pdf/2308.01920v1 2cf0c95334ccfb24 data/papers/2cf0c95334ccfb24.pdf data/papers/2cf0c95334ccfb24.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images arXiv 2023 https://arxiv.org/pdf/2308.01982v1 5fd04ec25812e166 data/papers/5fd04ec25812e166.pdf data/papers/5fd04ec25812e166.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A comprehensive review of deep learning in lung cancer arXiv 2023 https://arxiv.org/pdf/2308.02528v1 49711c3768dae0c2 data/papers/49711c3768dae0c2.pdf data/papers/49711c3768dae0c2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis arXiv 2023 https://arxiv.org/pdf/2308.03008v1 39d28be868e55cc3 data/papers/39d28be868e55cc3.pdf data/papers/39d28be868e55cc3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synthetic Augmentation with Large-scale Unconditional Pre-training arXiv 2023 https://arxiv.org/pdf/2308.04020v1 a0beea07312ae86a data/papers/a0beea07312ae86a.pdf data/papers/a0beea07312ae86a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Digital Healthcare in The Metaverse: Insights into Privacy and Security arXiv 2023 https://arxiv.org/pdf/2308.04438v2 ce747d148fd6cd09 data/papers/ce747d148fd6cd09.pdf data/papers/ce747d148fd6cd09.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Global Differential Privacy for Distributed Metaverse Healthcare Systems arXiv 2023 https://arxiv.org/pdf/2308.04439v2 47cb67e7e0237c7c data/papers/47cb67e7e0237c7c.pdf data/papers/47cb67e7e0237c7c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Assessing the performance of deep learning-based models for prostate cancer segmentation using uncertainty scores arXiv 2023 https://arxiv.org/pdf/2308.04653v1 aa21bd7f64bc3ed6 data/papers/aa21bd7f64bc3ed6.pdf data/papers/aa21bd7f64bc3ed6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of lung cancer subtypes on CT images with synthetic pathological priors arXiv 2023 https://arxiv.org/pdf/2308.04663v1 26426b3a6d2030aa data/papers/26426b3a6d2030aa.pdf data/papers/26426b3a6d2030aa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid-Supervised Deep Learning for Domain Transfer 3D Protoacoustic Image Reconstruction arXiv 2023 https://arxiv.org/pdf/2308.06194v1 f6add4bb2617d288 data/papers/f6add4bb2617d288.pdf data/papers/f6add4bb2617d288.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Text Classification on Free Text Comments in Patient-Reported Outcome Measures arXiv 2023 https://arxiv.org/pdf/2308.06199v1 4a2b0f7cb1911c1f data/papers/4a2b0f7cb1911c1f.pdf data/papers/4a2b0f7cb1911c1f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging multi-view data without annotations for prostate MRI segmentation: A contrastive approach arXiv 2023 https://arxiv.org/pdf/2308.06477v2 5a2ead07e4c53cd0 data/papers/5a2ead07e4c53cd0.pdf data/papers/5a2ead07e4c53cd0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models arXiv 2023 https://arxiv.org/pdf/2308.06821v1 1446826bddecc8fd data/papers/1446826bddecc8fd.pdf data/papers/1446826bddecc8fd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving ICD-based semantic similarity by accounting for varying degrees of comorbidity arXiv 2023 https://arxiv.org/pdf/2308.07359v1 f1f63b8e3fcb8fbc data/papers/f1f63b8e3fcb8fbc.pdf data/papers/f1f63b8e3fcb8fbc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data arXiv 2023 https://arxiv.org/pdf/2308.07806v1 f2089a23de347b68 data/papers/f2089a23de347b68.pdf data/papers/f2089a23de347b68.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining arXiv 2023 https://arxiv.org/pdf/2308.07895v2 213e97ab9255fb2c data/papers/213e97ab9255fb2c.pdf data/papers/213e97ab9255fb2c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Framework for Spleen Volume Estimation from 2D Cross-sectional Views arXiv 2023 https://arxiv.org/pdf/2308.08038v2 92610ff6ea4f7faa data/papers/92610ff6ea4f7faa.pdf data/papers/92610ff6ea4f7faa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comprehensive Overview of Computational Nuclei Segmentation Methods in Digital Pathology arXiv 2023 https://arxiv.org/pdf/2308.08112v1 63110d38686b2306 data/papers/63110d38686b2306.pdf data/papers/63110d38686b2306.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation arXiv 2023 https://arxiv.org/pdf/2308.08283v1 dae1fde7353c81b4 data/papers/dae1fde7353c81b4.pdf data/papers/dae1fde7353c81b4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions arXiv 2023 https://arxiv.org/pdf/2308.08313v3 30e140f94a7fee65 data/papers/30e140f94a7fee65.pdf data/papers/30e140f94a7fee65.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification arXiv 2023 https://arxiv.org/pdf/2308.08731v1 5d3eba9e89ef613c data/papers/5d3eba9e89ef613c.pdf data/papers/5d3eba9e89ef613c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Decoupled conditional contrastive learning with variable metadata for prostate lesion detection arXiv 2023 https://arxiv.org/pdf/2308.09542v1 ea4c53911d21e7c4 data/papers/ea4c53911d21e7c4.pdf data/papers/ea4c53911d21e7c4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Revisiting Skin Tone Fairness in Dermatological Lesion Classification arXiv 2023 https://arxiv.org/pdf/2308.09640v1 1552472cba144949 data/papers/1552472cba144949.pdf data/papers/1552472cba144949.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling arXiv 2023 https://arxiv.org/pdf/2308.09725v2 2ebd53f7d7b6511d data/papers/2ebd53f7d7b6511d.pdf data/papers/2ebd53f7d7b6511d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-modality Attention-based Multimodal Fusion for Non-small Cell Lung Cancer (NSCLC) Patient Survival Prediction arXiv 2023 https://arxiv.org/pdf/2308.09831v2 acd6766e8927bb57 data/papers/acd6766e8927bb57.pdf data/papers/acd6766e8927bb57.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Polymerized Feature-based Domain Adaptation for Cervical Cancer Dose Map Prediction arXiv 2023 https://arxiv.org/pdf/2308.10142v1 1dbed2807acf89bb data/papers/1dbed2807acf89bb.pdf data/papers/1dbed2807acf89bb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images arXiv 2023 https://arxiv.org/pdf/2308.10446v1 2f16a2f9b176869f data/papers/2f16a2f9b176869f.pdf data/papers/2f16a2f9b176869f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images arXiv 2023 https://arxiv.org/pdf/2308.10449v1 dbdf9905e59c266c data/papers/dbdf9905e59c266c.pdf data/papers/dbdf9905e59c266c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model arXiv 2023 https://arxiv.org/pdf/2308.10917v1 d116e2dc3ce01275 data/papers/d116e2dc3ce01275.pdf data/papers/d116e2dc3ce01275.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Preliminary Investigation into Search and Matching for Tumour Discrimination in WHO Breast Taxonomy Using Deep Networks arXiv 2023 https://arxiv.org/pdf/2308.11162v1 887e610f93353005 data/papers/887e610f93353005.pdf data/papers/887e610f93353005.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A three in one bottom-up framework for simultaneous semantic segmentation, instance segmentation and classification of multi-organ nuclei in digital cancer histology arXiv 2023 https://arxiv.org/pdf/2308.11179v1 80fd78c5a8e9c2d9 data/papers/80fd78c5a8e9c2d9.pdf data/papers/80fd78c5a8e9c2d9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +What's Race Got to do with it? Predicting Youth Depression Across Racial Groups Using Machine and Deep Learning arXiv 2023 https://arxiv.org/pdf/2308.11591v1 8e2c204ce8cb9336 data/papers/8e2c204ce8cb9336.pdf data/papers/8e2c204ce8cb9336.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detection of ChatGPT Fake Science with the xFakeSci Learning Algorithm arXiv 2023 https://arxiv.org/pdf/2308.11767v4 bd62261a809d6411 data/papers/bd62261a809d6411.pdf data/papers/bd62261a809d6411.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification arXiv 2023 https://arxiv.org/pdf/2308.11969v1 08cc8436ad761e20 data/papers/08cc8436ad761e20.pdf data/papers/08cc8436ad761e20.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CACTUS: a Comprehensive Abstraction and Classification Tool for Uncovering Structures arXiv 2023 https://arxiv.org/pdf/2308.12031v1 bed8c232e4f2b2c4 data/papers/bed8c232e4f2b2c4.pdf data/papers/bed8c232e4f2b2c4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Learning for Endoscopic Video Analysis arXiv 2023 https://arxiv.org/pdf/2308.12394v1 785e568a212d0419 data/papers/785e568a212d0419.pdf data/papers/785e568a212d0419.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Test Generation for Medical Rules Web Services: A Case Study at the Cancer Registry of Norway arXiv 2023 https://arxiv.org/pdf/2308.12805v2 bb8366249c87d4b5 data/papers/bb8366249c87d4b5.pdf data/papers/bb8366249c87d4b5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Classification with Enhanced Interpretability: DALAResNet50 and DT Grad-CAM arXiv 2023 https://arxiv.org/pdf/2308.13150v16 520abb0a3026b35f data/papers/520abb0a3026b35f.pdf data/papers/520abb0a3026b35f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Challenges of Testing an Evolving Cancer Registration Support System in Practice arXiv 2023 https://arxiv.org/pdf/2308.13306v1 1cf3133204af89bc data/papers/1cf3133204af89bc.pdf data/papers/1cf3133204af89bc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Fusion of Radiomics and Deep Features for Lung Adenocarcinoma Subtype Recognition arXiv 2023 https://arxiv.org/pdf/2308.13997v2 eb04e036bfc298fc data/papers/eb04e036bfc298fc.pdf data/papers/eb04e036bfc298fc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Large Language Models Streamline Automated Machine Learning for Clinical Studies arXiv 2023 https://arxiv.org/pdf/2308.14120v5 8b13f5c004ae6b13 data/papers/8b13f5c004ae6b13.pdf data/papers/8b13f5c004ae6b13.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation arXiv 2023 https://arxiv.org/pdf/2308.14213v1 8e360129d3909822 data/papers/8e360129d3909822.pdf data/papers/8e360129d3909822.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Lesion Volume Measurements on Digital Mammograms arXiv 2023 https://arxiv.org/pdf/2308.14369v1 8800247f51903405 data/papers/8800247f51903405.pdf data/papers/8800247f51903405.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy arXiv 2023 https://arxiv.org/pdf/2308.14461v1 7aab1803d1e129fe data/papers/7aab1803d1e129fe.pdf data/papers/7aab1803d1e129fe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer Samples arXiv 2023 https://arxiv.org/pdf/2308.14769v1 ff0131907f8b3fab data/papers/ff0131907f8b3fab.pdf data/papers/ff0131907f8b3fab.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A General-Purpose Self-Supervised Model for Computational Pathology arXiv 2023 https://arxiv.org/pdf/2308.15474v1 ace0f18fb3870fed data/papers/ace0f18fb3870fed.pdf data/papers/ace0f18fb3870fed.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RACR-MIL: Weakly Supervised Skin Cancer Grading using Rank-Aware Contextual Reasoning on Whole Slide Images arXiv 2023 https://arxiv.org/pdf/2308.15618v1 1fb9e9dd8dce525e data/papers/1fb9e9dd8dce525e.pdf data/papers/1fb9e9dd8dce525e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multiple Augmented Reduced Rank Regression for Pan-Cancer Analysis arXiv 2023 https://arxiv.org/pdf/2308.16333v1 85df85f6993e6b35 data/papers/85df85f6993e6b35.pdf data/papers/85df85f6993e6b35.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation arXiv 2023 https://arxiv.org/pdf/2308.16598v1 be64836266e71e1f data/papers/be64836266e71e1f.pdf data/papers/be64836266e71e1f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment arXiv 2023 https://arxiv.org/pdf/2308.16735v1 41297e94161b470c data/papers/41297e94161b470c.pdf data/papers/41297e94161b470c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Application of Machine Learning in Melanoma Detection and the Identification of 'Ugly Duckling' and Suspicious Naevi: A Review arXiv 2023 https://arxiv.org/pdf/2309.00265v2 9a11e3913bbc3d81 data/papers/9a11e3913bbc3d81.pdf data/papers/9a11e3913bbc3d81.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning dynamical models of single and collective cell migration: a review arXiv 2023 https://arxiv.org/pdf/2309.00545v2 effe5ead0b4c25f1 data/papers/effe5ead0b4c25f1.pdf data/papers/effe5ead0b4c25f1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comparative Analysis of Deep Learning Architectures for Breast Cancer Diagnosis Using the BreaKHis Dataset arXiv 2023 https://arxiv.org/pdf/2309.01007v2 0b957f582103081a data/papers/0b957f582103081a.pdf data/papers/0b957f582103081a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast MRI radiomics and machine learning radiomics-based predictions of response to neoadjuvant chemotherapy -- how are they affected by variations in tumour delineation? arXiv 2023 https://arxiv.org/pdf/2309.01210v1 0d83e87fa8d30d3e data/papers/0d83e87fa8d30d3e.pdf data/papers/0d83e87fa8d30d3e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation arXiv 2023 https://arxiv.org/pdf/2309.01322v1 4761bed63446ebf3 data/papers/4761bed63446ebf3.pdf data/papers/4761bed63446ebf3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation arXiv 2023 https://arxiv.org/pdf/2309.01487v2 78a0b2f686c8d84f data/papers/78a0b2f686c8d84f.pdf data/papers/78a0b2f686c8d84f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Survival Prediction from Imbalance colorectal cancer dataset using hybrid sampling methods and tree-based classifiers arXiv 2023 https://arxiv.org/pdf/2309.01783v1 62e1676498639d00 data/papers/62e1676498639d00.pdf data/papers/62e1676498639d00.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Delving into Ipsilateral Mammogram Assessment under Multi-View Network arXiv 2023 https://arxiv.org/pdf/2309.02197v2 f7980c00ce9b93ea data/papers/f7980c00ce9b93ea.pdf data/papers/f7980c00ce9b93ea.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gene-induced Multimodal Pre-training for Image-omic Classification arXiv 2023 https://arxiv.org/pdf/2309.02702v1 bcc34fbb4ac14f08 data/papers/bcc34fbb4ac14f08.pdf data/papers/bcc34fbb4ac14f08.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization arXiv 2023 https://arxiv.org/pdf/2309.02742v2 45da2ec7c0748021 data/papers/45da2ec7c0748021.pdf data/papers/45da2ec7c0748021.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline arXiv 2023 https://arxiv.org/pdf/2309.02777v2 64487af1967ed8c3 data/papers/64487af1967ed8c3.pdf data/papers/64487af1967ed8c3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving diagnosis and prognosis of lung cancer using vision transformers: A scoping review arXiv 2023 https://arxiv.org/pdf/2309.02783v1 3e146d0079699dc4 data/papers/3e146d0079699dc4.pdf data/papers/3e146d0079699dc4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis arXiv 2023 https://arxiv.org/pdf/2309.03506v1 2edbe2af3532eadc data/papers/2edbe2af3532eadc.pdf data/papers/2edbe2af3532eadc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications arXiv 2023 https://arxiv.org/pdf/2309.03837v1 ec4c20f58ab441b6 data/papers/ec4c20f58ab441b6.pdf data/papers/ec4c20f58ab441b6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CenTime: Event-Conditional Modelling of Censoring in Survival Analysis arXiv 2023 https://arxiv.org/pdf/2309.03851v3 db0aeb2a727d691d data/papers/db0aeb2a727d691d.pdf data/papers/db0aeb2a727d691d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Beyond attention: deriving biologically interpretable insights from weakly-supervised multiple-instance learning models arXiv 2023 https://arxiv.org/pdf/2309.03925v1 3e680205dce49e4d data/papers/3e680205dce49e4d.pdf data/papers/3e680205dce49e4d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gall Bladder Cancer Detection from US Images with Only Image Level Labels arXiv 2023 https://arxiv.org/pdf/2309.05261v1 1bbeb7950552a029 data/papers/1bbeb7950552a029.pdf data/papers/1bbeb7950552a029.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Radiomics Boosts Deep Learning Model for IPMN Classification arXiv 2023 https://arxiv.org/pdf/2309.05857v1 8ba8a1285be74e5b data/papers/8ba8a1285be74e5b.pdf data/papers/8ba8a1285be74e5b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FLDNet: A Foreground-Aware Network for Polyp Segmentation Leveraging Long-Distance Dependencies arXiv 2023 https://arxiv.org/pdf/2309.05987v1 42b4450641c8eb48 data/papers/42b4450641c8eb48.pdf data/papers/42b4450641c8eb48.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ssVERDICT: Self-Supervised VERDICT-MRI for Enhanced Prostate Tumour Characterisation arXiv 2023 https://arxiv.org/pdf/2309.06268v2 85a4f12f043eba07 data/papers/85a4f12f043eba07.pdf data/papers/85a4f12f043eba07.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adversarial attacks on hybrid classical-quantum Deep Learning models for Histopathological Cancer Detection arXiv 2023 https://arxiv.org/pdf/2309.06377v1 c6a234ab81b190ca data/papers/c6a234ab81b190ca.pdf data/papers/c6a234ab81b190ca.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology arXiv 2023 https://arxiv.org/pdf/2309.07113v1 f57fde911d6a2463 data/papers/f57fde911d6a2463.pdf data/papers/f57fde911d6a2463.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis arXiv 2023 https://arxiv.org/pdf/2309.07400v1 b92f889f29713e8e data/papers/b92f889f29713e8e.pdf data/papers/b92f889f29713e8e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Virchow: A Million-Slide Digital Pathology Foundation Model arXiv 2023 https://arxiv.org/pdf/2309.07778v5 78a7839fa2f3aa6f data/papers/78a7839fa2f3aa6f.pdf data/papers/78a7839fa2f3aa6f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Text Classification of Cancer Clinical Trial Eligibility Criteria arXiv 2023 https://arxiv.org/pdf/2309.07812v2 3310907086ea7e07 data/papers/3310907086ea7e07.pdf data/papers/3310907086ea7e07.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improved Breast Cancer Diagnosis through Transfer Learning on Hematoxylin and Eosin Stained Histology Images arXiv 2023 https://arxiv.org/pdf/2309.08745v2 9b3eba1b54e1dcb5 data/papers/9b3eba1b54e1dcb5.pdf data/papers/9b3eba1b54e1dcb5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images arXiv 2023 https://arxiv.org/pdf/2309.09412v1 b1490fc159843d0c data/papers/b1490fc159843d0c.pdf data/papers/b1490fc159843d0c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Smart Handheld Edge Device for On-Site Diagnosis and Classification of Texture and Stiffness of Excised Colorectal Cancer Polyps arXiv 2023 https://arxiv.org/pdf/2309.09642v1 5f12123b4e18878d data/papers/5f12123b4e18878d.pdf data/papers/5f12123b4e18878d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluation of GPT-3 for Anti-Cancer Drug Sensitivity Prediction arXiv 2023 https://arxiv.org/pdf/2309.10016v2 ab38f70be7ea7cec data/papers/ab38f70be7ea7cec.pdf data/papers/ab38f70be7ea7cec.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Metastatic Breast Cancer Prognostication Through Multimodal Integration of Dimensionality Reduction Algorithms and Classification Algorithms arXiv 2023 https://arxiv.org/pdf/2309.10324v1 7b0adc2f1e49b948 data/papers/7b0adc2f1e49b948.pdf data/papers/7b0adc2f1e49b948.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results arXiv 2023 https://arxiv.org/pdf/2309.10399v3 3315b08f0bd6ac7c data/papers/3315b08f0bd6ac7c.pdf data/papers/3315b08f0bd6ac7c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Edge-aware Feature Aggregation Network for Polyp Segmentation arXiv 2023 https://arxiv.org/pdf/2309.10523v2 6013811376522320 data/papers/6013811376522320.pdf data/papers/6013811376522320.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Endoscopic Ultrasound Station Recognition with Limited Data arXiv 2023 https://arxiv.org/pdf/2309.11820v3 369ec788ef53dc66 data/papers/369ec788ef53dc66.pdf data/papers/369ec788ef53dc66.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Efficient Consolidation of Word Embedding and Deep Learning Techniques for Classifying Anticancer Peptides: FastText+BiLSTM arXiv 2023 https://arxiv.org/pdf/2309.12058v1 762465e0c55d1b8e data/papers/762465e0c55d1b8e.pdf data/papers/762465e0c55d1b8e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PI-RADS v2 Compliant Automated Segmentation of Prostate Zones Using co-training Motivated Multi-task Dual-Path CNN arXiv 2023 https://arxiv.org/pdf/2309.12970v1 8944ede283798ae4 data/papers/8944ede283798ae4.pdf data/papers/8944ede283798ae4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GGL-PPI: Geometric Graph Learning to Predict Mutation-Induced Binding Free Energy Changes arXiv 2023 https://arxiv.org/pdf/2309.13484v1 595fa78879e3aade data/papers/595fa78879e3aade.pdf data/papers/595fa78879e3aade.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT Images arXiv 2023 https://arxiv.org/pdf/2309.13553v1 4c2aaaf4805f1a2f data/papers/4c2aaaf4805f1a2f.pdf data/papers/4c2aaaf4805f1a2f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI arXiv 2023 https://arxiv.org/pdf/2309.13777v2 74ff620bc5e5304c data/papers/74ff620bc5e5304c.pdf data/papers/74ff620bc5e5304c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting environment effects on breast cancer by implementing machine learning arXiv 2023 https://arxiv.org/pdf/2309.14397v1 b2272650eca9d03a data/papers/b2272650eca9d03a.pdf data/papers/b2272650eca9d03a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gastro-Intestinal Tract Segmentation Using an Explainable 3D Unet arXiv 2023 https://arxiv.org/pdf/2309.14474v1 7b093a5a85cdcedc data/papers/7b093a5a85cdcedc.pdf data/papers/7b093a5a85cdcedc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AiAReSeg: Catheter Detection and Segmentation in Interventional Ultrasound using Transformers arXiv 2023 https://arxiv.org/pdf/2309.14492v1 34c3ccda7a8cb15c data/papers/34c3ccda7a8cb15c.pdf data/papers/34c3ccda7a8cb15c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Can-SAVE: Mass Cancer Risk Prediction via Survival Analysis Variables and EHR arXiv 2023 https://arxiv.org/pdf/2309.15039v2 73b0c4a209905271 data/papers/73b0c4a209905271.pdf data/papers/73b0c4a209905271.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ANNCRIPS: Artificial Neural Networks for Cancer Research In Prediction & Survival arXiv 2023 https://arxiv.org/pdf/2309.15803v1 441055040d655483 data/papers/441055040d655483.pdf data/papers/441055040d655483.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions arXiv 2023 https://arxiv.org/pdf/2310.00517v2 6f00b18690202e18 data/papers/6f00b18690202e18.pdf data/papers/6f00b18690202e18.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma arXiv 2023 https://arxiv.org/pdf/2310.00639v1 34f42caf303f5a42 data/papers/34f42caf303f5a42.pdf data/papers/34f42caf303f5a42.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamic Prediction arXiv 2023 https://arxiv.org/pdf/2310.00926v2 4920837c3b84a56c data/papers/4920837c3b84a56c.pdf data/papers/4920837c3b84a56c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet arXiv 2023 https://arxiv.org/pdf/2310.01073v2 cee57bba850ffde8 data/papers/cee57bba850ffde8.pdf data/papers/cee57bba850ffde8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology Datasets arXiv 2023 https://arxiv.org/pdf/2310.01438v2 4ce5f2aed203a27f data/papers/4ce5f2aed203a27f.pdf data/papers/4ce5f2aed203a27f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comparative Evaluation of Transfer Learning for Classification of Brain Tumor Using MRI arXiv 2023 https://arxiv.org/pdf/2310.02270v1 b45a0125af7d6227 data/papers/b45a0125af7d6227.pdf data/papers/b45a0125af7d6227.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +OCU-Net: A Novel U-Net Architecture for Enhanced Oral Cancer Segmentation arXiv 2023 https://arxiv.org/pdf/2310.02486v1 28cd87ec230046a8 data/papers/28cd87ec230046a8.pdf data/papers/28cd87ec230046a8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection arXiv 2023 https://arxiv.org/pdf/2310.02861v4 64eb00308bfac177 data/papers/64eb00308bfac177.pdf data/papers/64eb00308bfac177.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Graph data modelling for outcome prediction in oropharyngeal cancer patients arXiv 2023 https://arxiv.org/pdf/2310.02931v1 5534ceaa2f9a60a0 data/papers/5534ceaa2f9a60a0.pdf data/papers/5534ceaa2f9a60a0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classifying Whole Slide Images: What Matters? arXiv 2023 https://arxiv.org/pdf/2310.03279v1 595ac613409f9f8a data/papers/595ac613409f9f8a.pdf data/papers/595ac613409f9f8a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Swin-Tempo: Temporal-Aware Lung Nodule Detection in CT Scans as Video Sequences Using Swin Transformer-Enhanced UNet arXiv 2023 https://arxiv.org/pdf/2310.03365v2 19ac7f246fe5f207 data/papers/19ac7f246fe5f207.pdf data/papers/19ac7f246fe5f207.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis arXiv 2023 https://arxiv.org/pdf/2310.04187v1 a3360fbc985123df data/papers/a3360fbc985123df.pdf data/papers/a3360fbc985123df.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical Knowledge arXiv 2023 https://arxiv.org/pdf/2310.04677v2 7f601bd95da50cc2 data/papers/7f601bd95da50cc2.pdf data/papers/7f601bd95da50cc2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Conditional Prediction Function: A Novel Technique to Control False Discovery Rate for Complex Models arXiv 2023 https://arxiv.org/pdf/2310.04919v1 c1c5c6ee105583d4 data/papers/c1c5c6ee105583d4.pdf data/papers/c1c5c6ee105583d4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Latent Diffusion Model for Medical Image Standardization and Enhancement arXiv 2023 https://arxiv.org/pdf/2310.05237v1 1ce59dfbd8e20261 data/papers/1ce59dfbd8e20261.pdf data/papers/1ce59dfbd8e20261.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Prostate Cancer Diagnosis with Deep Learning: A Study using mpMRI Segmentation and Classification arXiv 2023 https://arxiv.org/pdf/2310.05371v2 c9877998f24b508e data/papers/c9877998f24b508e.pdf data/papers/c9877998f24b508e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +M3FPolypSegNet: Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization in Colonoscopy Images arXiv 2023 https://arxiv.org/pdf/2310.05538v2 7b1db3816bd2c5aa data/papers/7b1db3816bd2c5aa.pdf data/papers/7b1db3816bd2c5aa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ultra-high dimensional confounder selection algorithms comparison with application to radiomics data arXiv 2023 https://arxiv.org/pdf/2310.06315v1 00212d57a0f49fa6 data/papers/00212d57a0f49fa6.pdf data/papers/00212d57a0f49fa6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tertiary Lymphoid Structures Generation through Graph-based Diffusion arXiv 2023 https://arxiv.org/pdf/2310.06661v1 8d38a9084daff2e8 data/papers/8d38a9084daff2e8.pdf data/papers/8d38a9084daff2e8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images arXiv 2023 https://arxiv.org/pdf/2310.07033v1 681379c44e3d6c11 data/papers/681379c44e3d6c11.pdf data/papers/681379c44e3d6c11.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Kernel Cox partially linear regression: building predictive models for cancer patients' survival arXiv 2023 https://arxiv.org/pdf/2310.07187v1 da196150489a07b0 data/papers/da196150489a07b0.pdf data/papers/da196150489a07b0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synthesizing Missing MRI Sequences from Available Modalities using Generative Adversarial Networks in BraTS Dataset arXiv 2023 https://arxiv.org/pdf/2310.07250v3 32361b1e952e7485 data/papers/32361b1e952e7485.pdf data/papers/32361b1e952e7485.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attention-Map Augmentation for Hypercomplex Breast Cancer Classification arXiv 2023 https://arxiv.org/pdf/2310.07633v2 5fde4bfd37848419 data/papers/5fde4bfd37848419.pdf data/papers/5fde4bfd37848419.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Statistical Performance Guarantee for Subgroup Identification with Generic Machine Learning arXiv 2023 https://arxiv.org/pdf/2310.07973v2 6fb2cd42fafc19ad data/papers/6fb2cd42fafc19ad.pdf data/papers/6fb2cd42fafc19ad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Saliency-Bench: A Comprehensive Benchmark for Evaluating Visual Explanations arXiv 2023 https://arxiv.org/pdf/2310.08537v3 3ef4b9966085c90f data/papers/3ef4b9966085c90f.pdf data/papers/3ef4b9966085c90f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial Attacks arXiv 2023 https://arxiv.org/pdf/2310.08681v1 b76809ad77c9f7f4 data/papers/b76809ad77c9f7f4.pdf data/papers/b76809ad77c9f7f4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Development and Validation of a Deep Learning-Based Microsatellite Instability Predictor from Prostate Cancer Whole-Slide Images arXiv 2023 https://arxiv.org/pdf/2310.08743v1 c239e1941e6d4b1e data/papers/c239e1941e6d4b1e.pdf data/papers/c239e1941e6d4b1e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Heterogeneous anomalous transport in cellular and molecular biology arXiv 2023 https://arxiv.org/pdf/2310.09950v1 634353413a4c24af data/papers/634353413a4c24af.pdf data/papers/634353413a4c24af.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Class-Specific Data Augmentation: Bridging the Imbalance in Multiclass Breast Cancer Classification arXiv 2023 https://arxiv.org/pdf/2310.09981v1 1cd078f832fab7a6 data/papers/1cd078f832fab7a6.pdf data/papers/1cd078f832fab7a6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid quantum-classical graph neural networks for tumor classification in digital pathology arXiv 2023 https://arxiv.org/pdf/2310.11353v1 67d142a93fccd26c data/papers/67d142a93fccd26c.pdf data/papers/67d142a93fccd26c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Catalytically active NaNbO3 nanorods for sonodynamic cancer therapy arXiv 2023 https://arxiv.org/pdf/2310.11793v1 f562b658990026b2 data/papers/f562b658990026b2.pdf data/papers/f562b658990026b2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Case-level Breast Cancer Prediction for Real Hospital Settings arXiv 2023 https://arxiv.org/pdf/2310.12677v2 8d8bc50e5ef66374 data/papers/8d8bc50e5ef66374.pdf data/papers/8d8bc50e5ef66374.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping arXiv 2023 https://arxiv.org/pdf/2310.12769v1 d7cb7f66289cf687 data/papers/d7cb7f66289cf687.pdf data/papers/d7cb7f66289cf687.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning arXiv 2023 https://arxiv.org/pdf/2310.12866v1 31f30a0ddd8b3220 data/papers/31f30a0ddd8b3220.pdf data/papers/31f30a0ddd8b3220.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing drug and cell line representations via contrastive learning for improved anti-cancer drug prioritization arXiv 2023 https://arxiv.org/pdf/2310.13725v2 51a18c479250aa24 data/papers/51a18c479250aa24.pdf data/papers/51a18c479250aa24.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +One-dimensional convolutional neural network model for breast cancer subtypes classification and biochemical content evaluation using micro-FTIR hyperspectral images arXiv 2023 https://arxiv.org/pdf/2310.15094v1 440b4bb2d519590a data/papers/440b4bb2d519590a.pdf data/papers/440b4bb2d519590a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual-path convolutional neural network using micro-FTIR imaging to predict breast cancer subtypes and biomarkers levels: estrogen receptor, progesterone receptor, HER2 and Ki67 arXiv 2023 https://arxiv.org/pdf/2310.15099v1 a72502d5bc43bc21 data/papers/a72502d5bc43bc21.pdf data/papers/a72502d5bc43bc21.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synthetic Data as Validation arXiv 2023 https://arxiv.org/pdf/2310.16052v1 2cdd50f87d66a74b data/papers/2cdd50f87d66a74b.pdf data/papers/2cdd50f87d66a74b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scalable Causal Structure Learning via Amortized Conditional Independence Testing arXiv 2023 https://arxiv.org/pdf/2310.16626v2 639420429bdc1f98 data/papers/639420429bdc1f98.pdf data/papers/639420429bdc1f98.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Techniques for Cervical Cancer Diagnosis based on Pathology and Colposcopy Images arXiv 2023 https://arxiv.org/pdf/2310.16662v1 058885fdbd5f1c28 data/papers/058885fdbd5f1c28.pdf data/papers/058885fdbd5f1c28.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Performance in Colorectal Cancer Histology Decomposition using Deep and Ensemble Machine Learning arXiv 2023 https://arxiv.org/pdf/2310.16954v2 0503de279bca4d45 data/papers/0503de279bca4d45.pdf data/papers/0503de279bca4d45.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images arXiv 2023 https://arxiv.org/pdf/2310.19359v1 5034c44f0e451312 data/papers/5034c44f0e451312.pdf data/papers/5034c44f0e451312.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Intelligent Breast Cancer Diagnosis with Heuristic-assisted Trans-Res-U-Net and Multiscale DenseNet using Mammogram Images arXiv 2023 https://arxiv.org/pdf/2310.19411v1 ca5c4ecb5ceab168 data/papers/ca5c4ecb5ceab168.pdf data/papers/ca5c4ecb5ceab168.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Bayesian Methodology for Estimation for Sparse Canonical Correlation arXiv 2023 https://arxiv.org/pdf/2310.19621v1 2435f740080a6f09 data/papers/2435f740080a6f09.pdf data/papers/2435f740080a6f09.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain Generalization in Computational Pathology: Survey and Guidelines arXiv 2023 https://arxiv.org/pdf/2310.19656v1 a42529ae2ca35e84 data/papers/a42529ae2ca35e84.pdf data/papers/a42529ae2ca35e84.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Can input reconstruction be used to directly estimate uncertainty of a regression U-Net model? -- Application to proton therapy dose prediction for head and neck cancer patients arXiv 2023 https://arxiv.org/pdf/2310.19686v1 5a0d781ccf7cdd0c data/papers/5a0d781ccf7cdd0c.pdf data/papers/5a0d781ccf7cdd0c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Feature-oriented Deep Learning Framework for Pulmonary Cone-beam CT (CBCT) Enhancement with Multi-task Customized Perceptual Loss arXiv 2023 https://arxiv.org/pdf/2311.00412v1 84c9ffd7cff2e977 data/papers/84c9ffd7cff2e977.pdf data/papers/84c9ffd7cff2e977.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Continual atlas-based segmentation of prostate MRI arXiv 2023 https://arxiv.org/pdf/2311.00548v3 e0e29fe2ac9826c2 data/papers/e0e29fe2ac9826c2.pdf data/papers/e0e29fe2ac9826c2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AeroPath: An airway segmentation benchmark dataset with challenging pathology arXiv 2023 https://arxiv.org/pdf/2311.01138v1 06d07cbab57f55e9 data/papers/06d07cbab57f55e9.pdf data/papers/06d07cbab57f55e9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models arXiv 2023 https://arxiv.org/pdf/2311.01301v2 e895fc97d2368ebd data/papers/e895fc97d2368ebd.pdf data/papers/e895fc97d2368ebd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A reluctant additive model framework for interpretable nonlinear individualized treatment rules arXiv 2023 https://arxiv.org/pdf/2311.01538v1 78ef9d4d8fb1c900 data/papers/78ef9d4d8fb1c900.pdf data/papers/78ef9d4d8fb1c900.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge arXiv 2023 https://arxiv.org/pdf/2311.01574v1 4d68d89900d1fcb0 data/papers/4d68d89900d1fcb0.pdf data/papers/4d68d89900d1fcb0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Variational Autoencoders for Noise Reduction in Industrial LLRF Systems arXiv 2023 https://arxiv.org/pdf/2311.02096v2 303bd78f4d703982 data/papers/303bd78f4d703982.pdf data/papers/303bd78f4d703982.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Auto-ICell: An Accessible and Cost-Effective Integrative Droplet Microfluidic System for Real-Time Single-Cell Morphological and Apoptotic Analysis arXiv 2023 https://arxiv.org/pdf/2311.02927v1 9aa0ecbb71e9c539 data/papers/9aa0ecbb71e9c539.pdf data/papers/9aa0ecbb71e9c539.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diffusion-based Radiotherapy Dose Prediction Guided by Inter-slice Aware Structure Encoding arXiv 2023 https://arxiv.org/pdf/2311.02991v2 ff138157449148d7 data/papers/ff138157449148d7.pdf data/papers/ff138157449148d7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data arXiv 2023 https://arxiv.org/pdf/2311.03217v2 18bd56a06384af3d data/papers/18bd56a06384af3d.pdf data/papers/18bd56a06384af3d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data arXiv 2023 https://arxiv.org/pdf/2311.03314v1 34ec62b0df4f5b1e data/papers/34ec62b0df4f5b1e.pdf data/papers/34ec62b0df4f5b1e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An attention-based deep learning network for predicting Platinum resistance in ovarian cancer arXiv 2023 https://arxiv.org/pdf/2311.04769v1 c0bb092a465f752e data/papers/c0bb092a465f752e.pdf data/papers/c0bb092a465f752e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging a realistic synthetic database to learn Shape-from-Shading for estimating the colon depth in colonoscopy images arXiv 2023 https://arxiv.org/pdf/2311.05021v1 044e63161db9871f data/papers/044e63161db9871f.pdf data/papers/044e63161db9871f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +3DGAUnet: 3D generative adversarial networks with a 3D U-Net based generator to achieve the accurate and effective synthesis of clinical tumor image data for pancreatic cancer arXiv 2023 https://arxiv.org/pdf/2311.05697v2 ecd5ec0bbd087d55 data/papers/ecd5ec0bbd087d55.pdf data/papers/ecd5ec0bbd087d55.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Swin UNETR++: Advancing Transformer-Based Dense Dose Prediction Towards Fully Automated Radiation Oncology Treatments arXiv 2023 https://arxiv.org/pdf/2311.06572v3 0332779ace43046d data/papers/0332779ace43046d.pdf data/papers/0332779ace43046d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatized Self-Supervised Learning for Skin Lesion Screening arXiv 2023 https://arxiv.org/pdf/2311.06691v2 6e35d3c2bb36490f data/papers/6e35d3c2bb36490f.pdf data/papers/6e35d3c2bb36490f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction arXiv 2023 https://arxiv.org/pdf/2311.07033v1 ce2a081f45c6733b data/papers/ce2a081f45c6733b.pdf data/papers/ce2a081f45c6733b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Applying Large Language Models for Causal Structure Learning in Non Small Cell Lung Cancer arXiv 2023 https://arxiv.org/pdf/2311.07191v1 ba8a39ff175bf2d0 data/papers/ba8a39ff175bf2d0.pdf data/papers/ba8a39ff175bf2d0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +STEM Rebalance: A Novel Approach for Tackling Imbalanced Datasets using SMOTE, Edited Nearest Neighbour, and Mixup arXiv 2023 https://arxiv.org/pdf/2311.07504v1 c9ad90db95dc7da5 data/papers/c9ad90db95dc7da5.pdf data/papers/c9ad90db95dc7da5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Histopathologic Cancer Detection arXiv 2023 https://arxiv.org/pdf/2311.07711v1 be24ad15e0696387 data/papers/be24ad15e0696387.pdf data/papers/be24ad15e0696387.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unprecedented reach and rich online journeys drive hate and extremism globally arXiv 2023 https://arxiv.org/pdf/2311.08258v2 9adb5df8702de7e5 data/papers/9adb5df8702de7e5.pdf data/papers/9adb5df8702de7e5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rotation-Agnostic Image Representation Learning for Digital Pathology arXiv 2023 https://arxiv.org/pdf/2311.08359v2 920bed6c8f1c5d9b data/papers/920bed6c8f1c5d9b.pdf data/papers/920bed6c8f1c5d9b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards a Transportable Causal Network Model Based on Observational Healthcare Data arXiv 2023 https://arxiv.org/pdf/2311.08427v2 e5dc3cd5f50b77ad data/papers/e5dc3cd5f50b77ad.pdf data/papers/e5dc3cd5f50b77ad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Brain MRI Image Classification with SIBOW-SVM arXiv 2023 https://arxiv.org/pdf/2311.08908v1 9c82a2b55f5d01b9 data/papers/9c82a2b55f5d01b9.pdf data/papers/9c82a2b55f5d01b9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data arXiv 2023 https://arxiv.org/pdf/2311.09115v3 26cbef34537b8782 data/papers/26cbef34537b8782.pdf data/papers/26cbef34537b8782.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-domain feature disentanglement for interpretable modeling of tumor microenvironment impact on drug response arXiv 2023 https://arxiv.org/pdf/2311.09264v1 9a450b7e52e03829 data/papers/9a450b7e52e03829.pdf data/papers/9a450b7e52e03829.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Nondestructive, quantitative viability analysis of 3D tissue cultures using machine learning image segmentation arXiv 2023 https://arxiv.org/pdf/2311.09354v3 aab31e0fa018c21b data/papers/aab31e0fa018c21b.pdf data/papers/aab31e0fa018c21b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Interventions with User-Defined Goals for Health Behavior Change arXiv 2023 https://arxiv.org/pdf/2311.09483v4 c97a95c63e8ab29c data/papers/c97a95c63e8ab29c.pdf data/papers/c97a95c63e8ab29c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype arXiv 2023 https://arxiv.org/pdf/2311.09574v3 35937f6e6b258aaa data/papers/35937f6e6b258aaa.pdf data/papers/35937f6e6b258aaa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Harnessing Transformers: A Leap Forward in Lung Cancer Image Detection arXiv 2023 https://arxiv.org/pdf/2311.09942v1 9aa5a07e086558c2 data/papers/9aa5a07e086558c2.pdf data/papers/9aa5a07e086558c2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-supervised learning of multi-omics embeddings in the low-label, high-data regime arXiv 2023 https://arxiv.org/pdf/2311.09962v1 340a2a04aa8650cd data/papers/340a2a04aa8650cd.pdf data/papers/340a2a04aa8650cd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction arXiv 2023 https://arxiv.org/pdf/2311.10305v1 5e087eb6498b96fa data/papers/5e087eb6498b96fa.pdf data/papers/5e087eb6498b96fa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Transformer-Based Segmentation for Breast Cancer Diagnosis using Auto-Augmentation and Search Optimisation Techniques arXiv 2023 https://arxiv.org/pdf/2311.11065v1 e32d59e5429d4a5f data/papers/e32d59e5429d4a5f.pdf data/papers/e32d59e5429d4a5f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion Segmentation arXiv 2023 https://arxiv.org/pdf/2311.11176v2 2ad470e868734ca7 data/papers/2ad470e868734ca7.pdf data/papers/2ad470e868734ca7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exponentially Convergent Algorithms for Supervised Matrix Factorization arXiv 2023 https://arxiv.org/pdf/2311.11182v1 83510449532bd34d data/papers/83510449532bd34d.pdf data/papers/83510449532bd34d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data arXiv 2023 https://arxiv.org/pdf/2311.11647v1 60e7f1a3f8b20516 data/papers/60e7f1a3f8b20516.pdf data/papers/60e7f1a3f8b20516.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images arXiv 2023 https://arxiv.org/pdf/2311.11656v2 d939dabec54b86c1 data/papers/d939dabec54b86c1.pdf data/papers/d939dabec54b86c1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features arXiv 2023 https://arxiv.org/pdf/2311.11659v1 884bb5c2db207c54 data/papers/884bb5c2db207c54.pdf data/papers/884bb5c2db207c54.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks arXiv 2023 https://arxiv.org/pdf/2311.11782v2 ced17da13a047a5a data/papers/ced17da13a047a5a.pdf data/papers/ced17da13a047a5a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ovarian Cancer Data Analysis using Deep Learning: A Systematic Review from the Perspectives of Key Features of Data Analysis and AI Assurance arXiv 2023 https://arxiv.org/pdf/2311.11932v1 2cf67aaba4f9bc2e data/papers/2cf67aaba4f9bc2e.pdf data/papers/2cf67aaba4f9bc2e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TransCDR: a deep learning model for enhancing the generalizability of cancer drug response prediction through transfer learning and multimodal data fusion for drug representation arXiv 2023 https://arxiv.org/pdf/2311.12040v1 0245f7e139ba05cc data/papers/0245f7e139ba05cc.pdf data/papers/0245f7e139ba05cc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning-based detection of morphological features associated with hypoxia in H&E breast cancer whole slide images arXiv 2023 https://arxiv.org/pdf/2311.12601v1 d0b62cf0df87f633 data/papers/d0b62cf0df87f633.pdf data/papers/d0b62cf0df87f633.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Combining low-dose CT-based radiomics and metabolomics for early lung cancer screening support arXiv 2023 https://arxiv.org/pdf/2311.12810v1 fef3fb6c49632212 data/papers/fef3fb6c49632212.pdf data/papers/fef3fb6c49632212.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Long-MIL: Scaling Long Contextual Multiple Instance Learning for Histopathology Whole Slide Image Analysis arXiv 2023 https://arxiv.org/pdf/2311.12885v1 26c6083941612ab3 data/papers/26c6083941612ab3.pdf data/papers/26c6083941612ab3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Orchard: building large cancer phylogenies using stochastic combinatorial search arXiv 2023 https://arxiv.org/pdf/2311.12917v2 1594d9b54ed1c713 data/papers/1594d9b54ed1c713.pdf data/papers/1594d9b54ed1c713.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides arXiv 2023 https://arxiv.org/pdf/2311.13261v4 de53a14c18a16784 data/papers/de53a14c18a16784.pdf data/papers/de53a14c18a16784.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping arXiv 2023 https://arxiv.org/pdf/2311.13956v1 265240e02eb2d5a6 data/papers/265240e02eb2d5a6.pdf data/papers/265240e02eb2d5a6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions arXiv 2023 https://arxiv.org/pdf/2311.15719v1 3308549ed7bf9faf data/papers/3308549ed7bf9faf.pdf data/papers/3308549ed7bf9faf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +End-to-End Breast Cancer Radiotherapy Planning via LMMs with Consistency Embedding arXiv 2023 https://arxiv.org/pdf/2311.15876v4 5523d6932c64647e data/papers/5523d6932c64647e.pdf data/papers/5523d6932c64647e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Seeing Beyond Cancer: Multi-Institutional Validation of Object Localization and 3D Semantic Segmentation using Deep Learning for Breast MRI arXiv 2023 https://arxiv.org/pdf/2311.16213v1 7236824933d0c8bf data/papers/7236824933d0c8bf.pdf data/papers/7236824933d0c8bf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multinomial belief networks for healthcare data arXiv 2023 https://arxiv.org/pdf/2311.16909v3 62a8528d9c762361 data/papers/62a8528d9c762361.pdf data/papers/62a8528d9c762361.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FedECA: Federated External Control Arms for Causal Inference with Time-To-Event Data in Distributed Settings arXiv 2023 https://arxiv.org/pdf/2311.16984v10 7e683a82d1dc14e9 data/papers/7e683a82d1dc14e9.pdf data/papers/7e683a82d1dc14e9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Gene-MOE: A sparsely gated prognosis and classification framework exploiting pan-cancer genomic information arXiv 2023 https://arxiv.org/pdf/2311.17401v3 8b51f4253c2311f8 data/papers/8b51f4253c2311f8.pdf data/papers/8b51f4253c2311f8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Slot-Mixup with Subsampling: A Simple Regularization for WSI Classification arXiv 2023 https://arxiv.org/pdf/2311.17466v1 a288e4c0ef9ecced data/papers/a288e4c0ef9ecced.pdf data/papers/a288e4c0ef9ecced.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A novel feature selection method based on quantum support vector machine arXiv 2023 https://arxiv.org/pdf/2311.17646v1 6f0ee70c6a8fa0c0 data/papers/6f0ee70c6a8fa0c0.pdf data/papers/6f0ee70c6a8fa0c0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer arXiv 2023 https://arxiv.org/pdf/2311.17740v2 d325abd389fd1944 data/papers/d325abd389fd1944.pdf data/papers/d325abd389fd1944.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets using Graph Machine Learning arXiv 2023 https://arxiv.org/pdf/2311.17969v1 e0e788c99104d9fa data/papers/e0e788c99104d9fa.pdf data/papers/e0e788c99104d9fa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends arXiv 2023 https://arxiv.org/pdf/2311.18373v3 a6d1e675fbbd1617 data/papers/a6d1e675fbbd1617.pdf data/papers/a6d1e675fbbd1617.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer-Net PCa-Gen: Synthesis of Realistic Prostate Diffusion Weighted Imaging Data via Anatomic-Conditional Controlled Latent Diffusion arXiv 2023 https://arxiv.org/pdf/2311.18612v1 f951d3f9d41a7b83 data/papers/f951d3f9d41a7b83.pdf data/papers/f951d3f9d41a7b83.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy arXiv 2023 https://arxiv.org/pdf/2311.18664v1 bcc132d15a65d1c3 data/papers/bcc132d15a65d1c3.pdf data/papers/bcc132d15a65d1c3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method arXiv 2023 https://arxiv.org/pdf/2312.00487v1 f3618288335e8b3a data/papers/f3618288335e8b3a.pdf data/papers/f3618288335e8b3a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Noisy probing dose facilitated dose prediction for pencil beam scanning proton therapy: physics enhances generalizability arXiv 2023 https://arxiv.org/pdf/2312.00975v1 cf2ce2073a39415d data/papers/cf2ce2073a39415d.pdf data/papers/cf2ce2073a39415d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comparative Analysis Towards Melanoma Classification Using Transfer Learning by Analyzing Dermoscopic Images arXiv 2023 https://arxiv.org/pdf/2312.01212v1 6faaf4f97888e43a data/papers/6faaf4f97888e43a.pdf data/papers/6faaf4f97888e43a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optimization Strategies for Beam Direction and Dose Distribution Selection in Radiotherapy Planning arXiv 2023 https://arxiv.org/pdf/2312.01385v1 9d2c130720c395a0 data/papers/9d2c130720c395a0.pdf data/papers/9d2c130720c395a0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Survey on deep learning in multimodal medical imaging for cancer detection arXiv 2023 https://arxiv.org/pdf/2312.01573v1 c15649696739156d data/papers/c15649696739156d.pdf data/papers/c15649696739156d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ColonNeRF: High-Fidelity Neural Reconstruction of Long Colonoscopy arXiv 2023 https://arxiv.org/pdf/2312.02015v2 b2bb9fe2564eda72 data/papers/b2bb9fe2564eda72.pdf data/papers/b2bb9fe2564eda72.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer Subtype Identification through Integrating Inter and Intra Dataset Relationships in Multi-Omics Data arXiv 2023 https://arxiv.org/pdf/2312.02195v1 b011eaaeb558516a data/papers/b011eaaeb558516a.pdf data/papers/b011eaaeb558516a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhanced Breast Cancer Tumor Classification using MobileNetV2: A Detailed Exploration on Image Intensity, Error Mitigation, and Streamlit-driven Real-time Deployment arXiv 2023 https://arxiv.org/pdf/2312.03020v2 44415d9f6e886570 data/papers/44415d9f6e886570.pdf data/papers/44415d9f6e886570.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Double Integral Enhanced Zeroing Neural Network Optimized with ALSOA fostered Lung Cancer Classification using CT Images arXiv 2023 https://arxiv.org/pdf/2312.03028v1 ed6264128107be25 data/papers/ed6264128107be25.pdf data/papers/ed6264128107be25.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lung Cancer Detection from CT Scan Images based on Genetic-Independent Recurrent Deep Learning arXiv 2023 https://arxiv.org/pdf/2312.03185v1 21b5365341174e44 data/papers/21b5365341174e44.pdf data/papers/21b5365341174e44.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint-Individual Fusion Structure with Fusion Attention Module for Multi-Modal Skin Cancer Classification arXiv 2023 https://arxiv.org/pdf/2312.04189v1 6fd8ba2a2f717b57 data/papers/6fd8ba2a2f717b57.pdf data/papers/6fd8ba2a2f717b57.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic Segmentation arXiv 2023 https://arxiv.org/pdf/2312.04713v1 529911942ddb8df6 data/papers/529911942ddb8df6.pdf data/papers/529911942ddb8df6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Image Synthesis-based Late Stage Cancer Augmentation and Semi-Supervised Segmentation for MRI Rectal Cancer Staging arXiv 2023 https://arxiv.org/pdf/2312.04779v1 2c15f7e79737a1e7 data/papers/2c15f7e79737a1e7.pdf data/papers/2c15f7e79737a1e7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Detection Using Deep Learning Technique Based On Ultrasound Image arXiv 2023 https://arxiv.org/pdf/2312.05261v1 b508ae1eee63f87b data/papers/b508ae1eee63f87b.pdf data/papers/b508ae1eee63f87b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging arXiv 2023 https://arxiv.org/pdf/2312.05334v1 5986661e044b9595 data/papers/5986661e044b9595.pdf data/papers/5986661e044b9595.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data arXiv 2023 https://arxiv.org/pdf/2312.05548v1 bf5d79891eeebc55 data/papers/bf5d79891eeebc55.pdf data/papers/bf5d79891eeebc55.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SP-DiffDose: A Conditional Diffusion Model for Radiation Dose Prediction Based on Multi-Scale Fusion of Anatomical Structures, Guided by SwinTransformer and Projector arXiv 2023 https://arxiv.org/pdf/2312.06187v1 d7ac871f851406e9 data/papers/d7ac871f851406e9.pdf data/papers/d7ac871f851406e9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review arXiv 2023 https://arxiv.org/pdf/2312.06697v1 6b55d1490cbcb720 data/papers/6b55d1490cbcb720.pdf data/papers/6b55d1490cbcb720.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A review of mechanistic learning in mathematical oncology arXiv 2023 https://arxiv.org/pdf/2312.07026v1 ab342798a5087ef9 data/papers/ab342798a5087ef9.pdf data/papers/ab342798a5087ef9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NearbyPatchCL: Leveraging Nearby Patches for Self-Supervised Patch-Level Multi-Class Classification in Whole-Slide Images arXiv 2023 https://arxiv.org/pdf/2312.07489v1 41a5013438f0e5a8 data/papers/41a5013438f0e5a8.pdf data/papers/41a5013438f0e5a8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AI-driven projection tomography with multicore fibre-optic cell rotation arXiv 2023 https://arxiv.org/pdf/2312.07631v1 a6be33abbc308021 data/papers/a6be33abbc308021.pdf data/papers/a6be33abbc308021.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modeling non-genetic information dynamics in cells using reservoir computing arXiv 2023 https://arxiv.org/pdf/2312.07977v2 415dd6b533c714cf data/papers/415dd6b533c714cf.pdf data/papers/415dd6b533c714cf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vision Transformer-Based Deep Learning for Histologic Classification of Endometrial Cancer arXiv 2023 https://arxiv.org/pdf/2312.08479v2 56f8032dde94883a data/papers/56f8032dde94883a.pdf data/papers/56f8032dde94883a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Featurizing Koopman Mode Decomposition For Robust Forecasting arXiv 2023 https://arxiv.org/pdf/2312.09146v5 129e0dbf67dc75dc data/papers/129e0dbf67dc75dc.pdf data/papers/129e0dbf67dc75dc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +On the calibration of neural networks for histological slide-level classification arXiv 2023 https://arxiv.org/pdf/2312.09719v1 7ac732cea70f9f26 data/papers/7ac732cea70f9f26.pdf data/papers/7ac732cea70f9f26.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathology arXiv 2023 https://arxiv.org/pdf/2312.09792v1 920c43fafb6da987 data/papers/920c43fafb6da987.pdf data/papers/920c43fafb6da987.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PathoDuet: Foundation Models for Pathological Slide Analysis of H&E and IHC Stains arXiv 2023 https://arxiv.org/pdf/2312.09894v2 abff8530d1cc9b42 data/papers/abff8530d1cc9b42.pdf data/papers/abff8530d1cc9b42.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox arXiv 2023 https://arxiv.org/pdf/2312.10580v1 bda9b3da6021c753 data/papers/bda9b3da6021c753.pdf data/papers/bda9b3da6021c753.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Interpretable Deep Learning Approach for Skin Cancer Categorization arXiv 2023 https://arxiv.org/pdf/2312.10696v1 0f31103035888b10 data/papers/0f31103035888b10.pdf data/papers/0f31103035888b10.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology arXiv 2023 https://arxiv.org/pdf/2312.10944v1 6bb03ff8c67a0803 data/papers/6bb03ff8c67a0803.pdf data/papers/6bb03ff8c67a0803.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Glioblastoma Tumor Segmentation using an Ensemble of Vision Transformers arXiv 2023 https://arxiv.org/pdf/2312.11467v1 bab3dac520bd105b data/papers/bab3dac520bd105b.pdf data/papers/bab3dac520bd105b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hierarchical Classification System for Breast Cancer Specimen Report (HCSBC) -- an end-to-end model for characterizing severity and diagnosis arXiv 2023 https://arxiv.org/pdf/2312.12442v1 d7b766c25705aa49 data/papers/d7b766c25705aa49.pdf data/papers/d7b766c25705aa49.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-stages attention Breast cancer classification based on nonlinear spiking neural P neurons with autapses arXiv 2023 https://arxiv.org/pdf/2312.12804v2 6e81a4c4d271f2a8 data/papers/6e81a4c4d271f2a8.pdf data/papers/6e81a4c4d271f2a8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PhysRFANet: Physics-Guided Neural Network for Real-Time Prediction of Thermal Effect During Radiofrequency Ablation Treatment arXiv 2023 https://arxiv.org/pdf/2312.13947v1 6cabf09d85705200 data/papers/6cabf09d85705200.pdf data/papers/6cabf09d85705200.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Large Language Models in Medical Term Classification and Unexpected Misalignment Between Response and Reasoning arXiv 2023 https://arxiv.org/pdf/2312.14184v1 a4d9eaa42e555a4a data/papers/a4d9eaa42e555a4a.pdf data/papers/a4d9eaa42e555a4a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology arXiv 2023 https://arxiv.org/pdf/2312.15010v2 5f6656ac7e208599 data/papers/5f6656ac7e208599.pdf data/papers/5f6656ac7e208599.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms arXiv 2023 https://arxiv.org/pdf/2312.16772v1 291f3bca5793b0f2 data/papers/291f3bca5793b0f2.pdf data/papers/291f3bca5793b0f2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cellular forgetting, desensitisation, stress and aging in signalling networks. When do cells refuse to learn more? arXiv 2023 https://arxiv.org/pdf/2312.16875v2 d38ccebf3fa730c8 data/papers/d38ccebf3fa730c8.pdf data/papers/d38ccebf3fa730c8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distribution-based Low-rank Embedding arXiv 2023 https://arxiv.org/pdf/2312.17579v1 0321b9f939fea4f0 data/papers/0321b9f939fea4f0.pdf data/papers/0321b9f939fea4f0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Resource-Limited Automated Ki67 Index Estimation in Breast Cancer arXiv 2023 https://arxiv.org/pdf/2401.00014v1 4a82ee8c1a746d85 data/papers/4a82ee8c1a746d85.pdf data/papers/4a82ee8c1a746d85.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm arXiv 2023 https://arxiv.org/pdf/2401.00128v1 3f37bd1a5ff51f06 data/papers/3f37bd1a5ff51f06.pdf data/papers/3f37bd1a5ff51f06.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction arXiv 2023 https://arxiv.org/pdf/2401.00587v2 5aa641895080bc57 data/papers/5aa641895080bc57.pdf data/papers/5aa641895080bc57.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-supervised learning for skin cancer diagnosis with limited training data arXiv 2024 https://arxiv.org/pdf/2401.00692v3 b49ce02a74a13de4 data/papers/b49ce02a74a13de4.pdf data/papers/b49ce02a74a13de4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automating Leukemia Diagnosis with Autoencoders: A Comparative Study arXiv 2023 https://arxiv.org/pdf/2401.00883v1 35426a971fd7eaef data/papers/35426a971fd7eaef.pdf data/papers/35426a971fd7eaef.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms arXiv 2024 https://arxiv.org/pdf/2401.01200v1 4253f92d63a6f24f data/papers/4253f92d63a6f24f.pdf data/papers/4253f92d63a6f24f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis arXiv 2024 https://arxiv.org/pdf/2401.01553v1 1cc5c3ae152a7b05 data/papers/1cc5c3ae152a7b05.pdf data/papers/1cc5c3ae152a7b05.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction arXiv 2024 https://arxiv.org/pdf/2401.01646v2 a9d60028c8ef4c56 data/papers/a9d60028c8ef4c56.pdf data/papers/a9d60028c8ef4c56.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ACP-ESM: A novel framework for classification of anticancer peptides using protein-oriented transformer approach arXiv 2024 https://arxiv.org/pdf/2401.02124v1 858f471ea8fdc234 data/papers/858f471ea8fdc234.pdf data/papers/858f471ea8fdc234.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Nodule detection and generation on chest X-rays: NODE21 Challenge arXiv 2024 https://arxiv.org/pdf/2401.02192v1 0a67e701afb84414 data/papers/0a67e701afb84414.pdf data/papers/0a67e701afb84414.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training arXiv 2024 https://arxiv.org/pdf/2401.02879v2 e5ff2ff70bcc097d data/papers/e5ff2ff70bcc097d.pdf data/papers/e5ff2ff70bcc097d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SAPNet: a deep learning model for identification of single-molecule peptide post-translational modifications with surface enhanced Raman spectroscopy arXiv 2024 https://arxiv.org/pdf/2401.03004v1 a08015d10f646c70 data/papers/a08015d10f646c70.pdf data/papers/a08015d10f646c70.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UGGNet: Bridging U-Net and VGG for Advanced Breast Cancer Diagnosis arXiv 2024 https://arxiv.org/pdf/2401.03173v1 b09edd72d83cad8f data/papers/b09edd72d83cad8f.pdf data/papers/b09edd72d83cad8f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities arXiv 2024 https://arxiv.org/pdf/2401.03609v3 f4b03413ddfafbd5 data/papers/f4b03413ddfafbd5.pdf data/papers/f4b03413ddfafbd5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Data to Insights: A Comprehensive Survey on Advanced Applications in Thyroid Cancer Research arXiv 2024 https://arxiv.org/pdf/2401.03722v1 bb9c0103bbf3ef19 data/papers/bb9c0103bbf3ef19.pdf data/papers/bb9c0103bbf3ef19.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Creating Personalized Synthetic Voices from Articulation Impaired Speech Using Augmented Reconstruction Loss arXiv 2024 https://arxiv.org/pdf/2401.03816v1 a66c79fd9ec7a50c data/papers/a66c79fd9ec7a50c.pdf data/papers/a66c79fd9ec7a50c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attention-Guided Erasing: A Novel Augmentation Method for Enhancing Downstream Breast Density Classification arXiv 2024 https://arxiv.org/pdf/2401.03912v1 4e82d5d4aff6a743 data/papers/4e82d5d4aff6a743.pdf data/papers/4e82d5d4aff6a743.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-based Non-invasive Digital System arXiv 2024 https://arxiv.org/pdf/2401.04746v1 294799d59644a0d2 data/papers/294799d59644a0d2.pdf data/papers/294799d59644a0d2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ECC-PolypDet: Enhanced CenterNet with Contrastive Learning for Automatic Polyp Detection arXiv 2024 https://arxiv.org/pdf/2401.04961v1 00f712b174891f9d data/papers/00f712b174891f9d.pdf data/papers/00f712b174891f9d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dataset Optimization for Chronic Disease Prediction with Bio-Inspired Feature Selection arXiv 2023 https://arxiv.org/pdf/2401.05380v1 fe1fb21b3933821c data/papers/fe1fb21b3933821c.pdf data/papers/fe1fb21b3933821c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A review arXiv 2024 https://arxiv.org/pdf/2401.06406v1 b1f4197cdbb04e9c data/papers/b1f4197cdbb04e9c.pdf data/papers/b1f4197cdbb04e9c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells arXiv 2024 https://arxiv.org/pdf/2401.07278v3 e3689e5cca96f032 data/papers/e3689e5cca96f032.pdf data/papers/e3689e5cca96f032.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Beyond Traditional Approaches: Multi-Task Network for Breast Ultrasound Diagnosis arXiv 2024 https://arxiv.org/pdf/2401.07326v1 5d1a414b4ff6181c data/papers/5d1a414b4ff6181c.pdf data/papers/5d1a414b4ff6181c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +$M^{2}$Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction arXiv 2024 https://arxiv.org/pdf/2401.07854v1 4cdd409f935796f7 data/papers/4cdd409f935796f7.pdf data/papers/4cdd409f935796f7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Siamese Content-based Search Engine for a More Transparent Skin and Breast Cancer Diagnosis through Histological Imaging arXiv 2024 https://arxiv.org/pdf/2401.08272v1 e8c4fd8d4b6ac08c data/papers/e8c4fd8d4b6ac08c.pdf data/papers/e8c4fd8d4b6ac08c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors arXiv 2024 https://arxiv.org/pdf/2401.08404v2 7edcdb0526a7ae4f data/papers/7edcdb0526a7ae4f.pdf data/papers/7edcdb0526a7ae4f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Survival Analysis of Young Triple-Negative Breast Cancer Patients arXiv 2024 https://arxiv.org/pdf/2401.08712v1 2b3d6161cbedb3a7 data/papers/2b3d6161cbedb3a7.pdf data/papers/2b3d6161cbedb3a7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-modality Guidance-aided Multi-modal Learning with Dual Attention for MRI Brain Tumor Grading arXiv 2024 https://arxiv.org/pdf/2401.09029v1 92661913e6accf3c data/papers/92661913e6accf3c.pdf data/papers/92661913e6accf3c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ADCNet: a unified framework for predicting the activity of antibody-drug conjugates arXiv 2024 https://arxiv.org/pdf/2401.09176v1 155cc9792b8a5072 data/papers/155cc9792b8a5072.pdf data/papers/155cc9792b8a5072.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation arXiv 2024 https://arxiv.org/pdf/2401.09496v2 3b4d3917134b6420 data/papers/3b4d3917134b6420.pdf data/papers/3b4d3917134b6420.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data-Driven Assessment of the County-Level Breast Cancer Incidence in the United States: Impacts of Modifiable and Non-Modifiable Factors arXiv 2024 https://arxiv.org/pdf/2401.09660v1 94eb37ee6d63c6ee data/papers/94eb37ee6d63c6ee.pdf data/papers/94eb37ee6d63c6ee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SEINE: Structure Encoding and Interaction Network for Nuclei Instance Segmentation arXiv 2024 https://arxiv.org/pdf/2401.09773v2 39596f26a8b70e28 data/papers/39596f26a8b70e28.pdf data/papers/39596f26a8b70e28.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Neural Population Decoding and Imbalanced Multi-Omic Datasets For Cancer Subtype Diagnosis arXiv 2024 https://arxiv.org/pdf/2401.10844v1 30ce7cd27a5be869 data/papers/30ce7cd27a5be869.pdf data/papers/30ce7cd27a5be869.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Task-specific regularization loss towards model calibration for reliable lung cancer detection arXiv 2024 https://arxiv.org/pdf/2401.11464v1 9b2a853025db3fb1 data/papers/9b2a853025db3fb1.pdf data/papers/9b2a853025db3fb1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RTA-Former: Reverse Transformer Attention for Polyp Segmentation arXiv 2024 https://arxiv.org/pdf/2401.11671v2 c231c410801dec94 data/papers/c231c410801dec94.pdf data/papers/c231c410801dec94.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Memory-Efficient Prompt Tuning for Incremental Histopathology Classification arXiv 2024 https://arxiv.org/pdf/2401.11674v1 7985c955f581c12d data/papers/7985c955f581c12d.pdf data/papers/7985c955f581c12d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning for Improved Polyp Detection from Synthetic Narrow-Band Imaging arXiv 2024 https://arxiv.org/pdf/2401.13315v1 9db5b8bc5b3d459b data/papers/9db5b8bc5b3d459b.pdf data/papers/9db5b8bc5b3d459b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare arXiv 2024 https://arxiv.org/pdf/2401.13716v1 e33af3af6916598b data/papers/e33af3af6916598b.pdf data/papers/e33af3af6916598b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification arXiv 2024 https://arxiv.org/pdf/2401.13887v1 09f81ab4f6987eec data/papers/09f81ab4f6987eec.pdf data/papers/09f81ab4f6987eec.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review arXiv 2024 https://arxiv.org/pdf/2401.15022v4 f80c78b2e38fb077 data/papers/f80c78b2e38fb077.pdf data/papers/f80c78b2e38fb077.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scans arXiv 2024 https://arxiv.org/pdf/2401.15354v1 4211d3eaf4970092 data/papers/4211d3eaf4970092.pdf data/papers/4211d3eaf4970092.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution arXiv 2024 https://arxiv.org/pdf/2401.15613v7 415e91a05f6cf05b data/papers/415e91a05f6cf05b.pdf data/papers/415e91a05f6cf05b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Study of Acquisition Functions for Medical Imaging Deep Active Learning arXiv 2024 https://arxiv.org/pdf/2401.15721v2 7ebbf99271863b59 data/papers/7ebbf99271863b59.pdf data/papers/7ebbf99271863b59.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +High-Dimensional False Discovery Rate Control for Dependent Variables arXiv 2024 https://arxiv.org/pdf/2401.15796v2 4980ad09ae4571b7 data/papers/4980ad09ae4571b7.pdf data/papers/4980ad09ae4571b7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Federated unsupervised random forest for privacy-preserving patient stratification arXiv 2024 https://arxiv.org/pdf/2401.16094v1 cb012c07670d72bd data/papers/cb012c07670d72bd.pdf data/papers/cb012c07670d72bd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CIMIL-CRC: a clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H\&E stained images arXiv 2024 https://arxiv.org/pdf/2401.16131v2 0fe876518a7ac768 data/papers/0fe876518a7ac768.pdf data/papers/0fe876518a7ac768.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IGCN: Integrative Graph Convolution Networks for patient level insights and biomarker discovery in multi-omics integration arXiv 2024 https://arxiv.org/pdf/2401.17612v3 76ef15421ee2ebef data/papers/76ef15421ee2ebef.pdf data/papers/76ef15421ee2ebef.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unlocking the Power of Multi-institutional Data: Integrating and Harmonizing Genomic Data Across Institutions arXiv 2024 https://arxiv.org/pdf/2402.00077v2 ceecf14cc5a2235c data/papers/ceecf14cc5a2235c.pdf data/papers/ceecf14cc5a2235c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Invariance-powered Trustworthy Defense via Remove Then Restore arXiv 2024 https://arxiv.org/pdf/2402.00304v1 5c61b91a2f9b7733 data/papers/5c61b91a2f9b7733.pdf data/papers/5c61b91a2f9b7733.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comparative Analysis of Gene Expression Profiling by Statistical and Machine Learning Approaches arXiv 2024 https://arxiv.org/pdf/2402.00926v1 6bcf9a66bfaceda3 data/papers/6bcf9a66bfaceda3.pdf data/papers/6bcf9a66bfaceda3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +XAI for Skin Cancer Detection with Prototypes and Non-Expert Supervision arXiv 2024 https://arxiv.org/pdf/2402.01410v1 35d19a477e96f0f4 data/papers/35d19a477e96f0f4.pdf data/papers/35d19a477e96f0f4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation arXiv 2024 https://arxiv.org/pdf/2402.03592v2 78bfcf11552dffd3 data/papers/78bfcf11552dffd3.pdf data/papers/78bfcf11552dffd3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine learning applied to omics data arXiv 2024 https://arxiv.org/pdf/2402.05543v1 d330aed4cbe3e82f data/papers/d330aed4cbe3e82f.pdf data/papers/d330aed4cbe3e82f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence arXiv 2024 https://arxiv.org/pdf/2402.05802v1 922ea66adedcffb7 data/papers/922ea66adedcffb7.pdf data/papers/922ea66adedcffb7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving the Efficiency of Oncological Diagnosis of the Breast Based on the Combined Use of Simulation Modeling and Artificial Intelligence Algorithms arXiv 2024 https://arxiv.org/pdf/2402.06065v1 049d24bd9c3fd9f4 data/papers/049d24bd9c3fd9f4.pdf data/papers/049d24bd9c3fd9f4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A self-supervised framework for learning whole slide representations arXiv 2024 https://arxiv.org/pdf/2402.06188v2 ab6319208f1a0b6c data/papers/ab6319208f1a0b6c.pdf data/papers/ab6319208f1a0b6c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-Based Auto-Segmentation of Planning Target Volume for Total Marrow and Lymph Node Irradiation arXiv 2024 https://arxiv.org/pdf/2402.06494v1 f50130b6925bc9ac data/papers/f50130b6925bc9ac.pdf data/papers/f50130b6925bc9ac.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI arXiv 2024 https://arxiv.org/pdf/2402.06984v1 b7467acb06ea393f data/papers/b7467acb06ea393f.pdf data/papers/b7467acb06ea393f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations arXiv 2024 https://arxiv.org/pdf/2402.07192v1 65aeab0b2eab29e5 data/papers/65aeab0b2eab29e5.pdf data/papers/65aeab0b2eab29e5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer arXiv 2024 https://arxiv.org/pdf/2402.07268v1 adbc527e36830676 data/papers/adbc527e36830676.pdf data/papers/adbc527e36830676.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NeuralSentinel: Safeguarding Neural Network Reliability and Trustworthiness arXiv 2024 https://arxiv.org/pdf/2402.07506v1 020747a332fae17a data/papers/020747a332fae17a.pdf data/papers/020747a332fae17a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning arXiv 2024 https://arxiv.org/pdf/2402.07746v1 9ae9dcfd4f2c8b5f data/papers/9ae9dcfd4f2c8b5f.pdf data/papers/9ae9dcfd4f2c8b5f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS arXiv 2024 https://arxiv.org/pdf/2402.08210v1 9e1fa4c53460d3b0 data/papers/9e1fa4c53460d3b0.pdf data/papers/9e1fa4c53460d3b0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adversarially Robust Feature Learning for Breast Cancer Diagnosis arXiv 2024 https://arxiv.org/pdf/2402.08768v1 024849a61a145ee2 data/papers/024849a61a145ee2.pdf data/papers/024849a61a145ee2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AI-Enabled Lung Cancer Prognosis arXiv 2024 https://arxiv.org/pdf/2402.09476v1 8e3b8f554dfe5a14 data/papers/8e3b8f554dfe5a14.pdf data/papers/8e3b8f554dfe5a14.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pulmonologists-Level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach arXiv 2024 https://arxiv.org/pdf/2402.09596v1 282ed49012577007 data/papers/282ed49012577007.pdf data/papers/282ed49012577007.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction arXiv 2024 https://arxiv.org/pdf/2402.10066v1 d8cba8ceeafbb3ee data/papers/d8cba8ceeafbb3ee.pdf data/papers/d8cba8ceeafbb3ee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Compact and De-biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Image Classification arXiv 2024 https://arxiv.org/pdf/2402.10595v1 ad148b73fa358985 data/papers/ad148b73fa358985.pdf data/papers/ad148b73fa358985.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion arXiv 2024 https://arxiv.org/pdf/2402.10717v2 fe7c109f505d7b12 data/papers/fe7c109f505d7b12.pdf data/papers/fe7c109f505d7b12.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Identifying heterogeneous micromechanical properties of biological tissues via physics-informed neural networks arXiv 2024 https://arxiv.org/pdf/2402.10741v3 2e278bc1bd93afa1 data/papers/2e278bc1bd93afa1.pdf data/papers/2e278bc1bd93afa1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Proximal Causal Inference for Conditional Separable Effects arXiv 2024 https://arxiv.org/pdf/2402.11020v3 0d3f3788eabaab58 data/papers/0d3f3788eabaab58.pdf data/papers/0d3f3788eabaab58.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MM-SurvNet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion arXiv 2024 https://arxiv.org/pdf/2402.11788v1 27a7240cb6b8e10c data/papers/27a7240cb6b8e10c.pdf data/papers/27a7240cb6b8e10c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data arXiv 2024 https://arxiv.org/pdf/2402.12190v2 4913e47ea8911c3d data/papers/4913e47ea8911c3d.pdf data/papers/4913e47ea8911c3d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tumor segmentation on whole slide images: training or prompting? arXiv 2024 https://arxiv.org/pdf/2402.13932v1 cfc1aeca57858817 data/papers/cfc1aeca57858817.pdf data/papers/cfc1aeca57858817.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests arXiv 2024 https://arxiv.org/pdf/2402.14080v1 e67434d1cbc3cb48 data/papers/e67434d1cbc3cb48.pdf data/papers/e67434d1cbc3cb48.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quaternion recurrent neural network with real-time recurrent learning and maximum correntropy criterion arXiv 2024 https://arxiv.org/pdf/2402.14227v2 24434c61aca623a7 data/papers/24434c61aca623a7.pdf data/papers/24434c61aca623a7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Algorithm-agnostic significance testing in supervised learning with multimodal data arXiv 2024 https://arxiv.org/pdf/2402.14416v3 83a34b21aaa8fdd9 data/papers/83a34b21aaa8fdd9.pdf data/papers/83a34b21aaa8fdd9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer Classification arXiv 2024 https://arxiv.org/pdf/2402.15905v1 d9b62dcc3dcadb2e data/papers/d9b62dcc3dcadb2e.pdf data/papers/d9b62dcc3dcadb2e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MV-Swin-T: Mammogram Classification with Multi-view Swin Transformer arXiv 2024 https://arxiv.org/pdf/2402.16298v1 166c5ca6dba552c9 data/papers/166c5ca6dba552c9.pdf data/papers/166c5ca6dba552c9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images arXiv 2024 https://arxiv.org/pdf/2402.17454v1 b01be403c6cf7327 data/papers/b01be403c6cf7327.pdf data/papers/b01be403c6cf7327.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma arXiv 2024 https://arxiv.org/pdf/2402.17807v1 30c963838f34183b data/papers/30c963838f34183b.pdf data/papers/30c963838f34183b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Public Goods Games in Disease Evolution and Spread arXiv 2024 https://arxiv.org/pdf/2402.17842v1 0010516e6be88762 data/papers/0010516e6be88762.pdf data/papers/0010516e6be88762.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model arXiv 2024 https://arxiv.org/pdf/2402.18362v1 308939a71bb5cef9 data/papers/308939a71bb5cef9.pdf data/papers/308939a71bb5cef9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dose Prediction Driven Radiotherapy Paramters Regression via Intra- and Inter-Relation Modeling arXiv 2024 https://arxiv.org/pdf/2402.18879v1 dd75cac823af757a data/papers/dd75cac823af757a.pdf data/papers/dd75cac823af757a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging arXiv 2024 https://arxiv.org/pdf/2402.18960v1 8002ae265e2fe381 data/papers/8002ae265e2fe381.pdf data/papers/8002ae265e2fe381.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Analysis of the Two-Step Heterogeneous Transfer Learning for Laryngeal Blood Vessel Classification: Issue and Improvement arXiv 2024 https://arxiv.org/pdf/2402.19001v3 d5cfe4130715d709 data/papers/d5cfe4130715d709.pdf data/papers/d5cfe4130715d709.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An AI based Digital Score of Tumour-Immune Microenvironment Predicts Benefit to Maintenance Immunotherapy in Advanced Oesophagogastric Adenocarcinoma arXiv 2024 https://arxiv.org/pdf/2402.19296v1 bc668b951b46239d data/papers/bc668b951b46239d.pdf data/papers/bc668b951b46239d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction arXiv 2024 https://arxiv.org/pdf/2402.19326v2 500063957bf1835d data/papers/500063957bf1835d.pdf data/papers/500063957bf1835d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Limits to classification performance by relating Kullback-Leibler divergence to Cohen's Kappa arXiv 2024 https://arxiv.org/pdf/2403.01571v1 04c414d1a0efdad2 data/papers/04c414d1a0efdad2.pdf data/papers/04c414d1a0efdad2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Density-based Isometric Mapping arXiv 2024 https://arxiv.org/pdf/2403.02531v1 1391d93298ef4f4a data/papers/1391d93298ef4f4a.pdf data/papers/1391d93298ef4f4a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Speckle Noise Reduction in Ultrasound Images using Denoising Auto-encoder with Skip Connection arXiv 2024 https://arxiv.org/pdf/2403.02750v1 97873766a59b10fe data/papers/97873766a59b10fe.pdf data/papers/97873766a59b10fe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepCRE: Transforming Drug R&D via AI-Driven Cross-drug Response Evaluation arXiv 2024 https://arxiv.org/pdf/2403.03768v3 a93416ba30a6b80f data/papers/a93416ba30a6b80f.pdf data/papers/a93416ba30a6b80f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Redefining cystoscopy with ai: bladder cancer diagnosis using an efficient hybrid cnn-transformer model arXiv 2024 https://arxiv.org/pdf/2403.03879v1 f8b19dcd5fb43e9a data/papers/f8b19dcd5fb43e9a.pdf data/papers/f8b19dcd5fb43e9a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology arXiv 2024 https://arxiv.org/pdf/2403.03891v1 5827202bd6aef0ad data/papers/5827202bd6aef0ad.pdf data/papers/5827202bd6aef0ad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hitchhiker's guide to cancer-associated lymphoid aggregates in histology images: manual and deep learning-based quantification approaches arXiv 2024 https://arxiv.org/pdf/2403.04142v1 33eeed6bcb4ce70e data/papers/33eeed6bcb4ce70e.pdf data/papers/33eeed6bcb4ce70e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +C2P-GCN: Cell-to-Patch Graph Convolutional Network for Colorectal Cancer Grading arXiv 2024 https://arxiv.org/pdf/2403.04962v2 33cae7d95bd229b2 data/papers/33cae7d95bd229b2.pdf data/papers/33cae7d95bd229b2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Embedded Deployment of Semantic Segmentation in Medicine through Low-Resolution Inputs arXiv 2024 https://arxiv.org/pdf/2403.05340v1 80561bf7a51ea9e7 data/papers/80561bf7a51ea9e7.pdf data/papers/80561bf7a51ea9e7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction arXiv 2024 https://arxiv.org/pdf/2403.05396v2 7752c3d72b283057 data/papers/7752c3d72b283057.pdf data/papers/7752c3d72b283057.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data arXiv 2024 https://arxiv.org/pdf/2403.05606v1 d335b1ee74c834a4 data/papers/d335b1ee74c834a4.pdf data/papers/d335b1ee74c834a4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PR-NET: Leveraging Pathway Refined Network Structures for Prostate Cancer Patient Condition Prediction arXiv 2024 https://arxiv.org/pdf/2403.05818v2 c59d60082cd93543 data/papers/c59d60082cd93543.pdf data/papers/c59d60082cd93543.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advancing Hyperspectral Targeted Alpha Therapy with Adversarial Machine Learning arXiv 2024 https://arxiv.org/pdf/2403.07149v1 b5d8f5f22dc68a73 data/papers/b5d8f5f22dc68a73.pdf data/papers/b5d8f5f22dc68a73.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GuideGen: A Text-Guided Framework for Full-torso Anatomy and CT Volume Generation arXiv 2024 https://arxiv.org/pdf/2403.07247v2 20c1f7367c0b3321 data/papers/20c1f7367c0b3321.pdf data/papers/20c1f7367c0b3321.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +In-context learning enables multimodal large language models to classify cancer pathology images arXiv 2024 https://arxiv.org/pdf/2403.07407v1 791629766ba662ec data/papers/791629766ba662ec.pdf data/papers/791629766ba662ec.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accurate Spatial Gene Expression Prediction by integrating Multi-resolution features arXiv 2024 https://arxiv.org/pdf/2403.07592v2 856c4645ca06a084 data/papers/856c4645ca06a084.pdf data/papers/856c4645ca06a084.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quantum Support Vector Machine for Prostate Cancer Detection: A Performance Analysis arXiv 2024 https://arxiv.org/pdf/2403.07856v1 d3948d9c47971dee data/papers/d3948d9c47971dee.pdf data/papers/d3948d9c47971dee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised self-organising map of prostate cell Raman spectra shows disease-state subclustering arXiv 2024 https://arxiv.org/pdf/2403.07960v1 7e67e568fb4b0bfe data/papers/7e67e568fb4b0bfe.pdf data/papers/7e67e568fb4b0bfe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders arXiv 2024 https://arxiv.org/pdf/2403.08848v2 8da90294072a011c data/papers/8da90294072a011c.pdf data/papers/8da90294072a011c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images arXiv 2024 https://arxiv.org/pdf/2403.09257v2 a48a9eab3b63f59c data/papers/a48a9eab3b63f59c.pdf data/papers/a48a9eab3b63f59c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival arXiv 2024 https://arxiv.org/pdf/2403.09290v1 ad16b9804aae8bae data/papers/ad16b9804aae8bae.pdf data/papers/ad16b9804aae8bae.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi- and Weakly-Supervised Learning for Mammogram Mass Segmentation with Limited Annotations arXiv 2024 https://arxiv.org/pdf/2403.09315v1 372a7ff72ffc866e data/papers/372a7ff72ffc866e.pdf data/papers/372a7ff72ffc866e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Classification Using Gradient Boosting Algorithms Focusing on Reducing the False Negative and SHAP for Explainability arXiv 2024 https://arxiv.org/pdf/2403.09548v3 e74d637d0177351e data/papers/e74d637d0177351e.pdf data/papers/e74d637d0177351e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Characterization of Polarimetric Properties in Various Brain Tumor Types Using Wide-Field Imaging Mueller Polarimetry arXiv 2024 https://arxiv.org/pdf/2403.09561v1 e1f495a863d42b62 data/papers/e1f495a863d42b62.pdf data/papers/e1f495a863d42b62.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Institutional-Level Monitoring of Immune Checkpoint Inhibitor IrAEs Using a Novel Natural Language Processing Algorithmic Pipeline arXiv 2024 https://arxiv.org/pdf/2403.09708v1 ee7e301f2db2e5b5 data/papers/ee7e301f2db2e5b5.pdf data/papers/ee7e301f2db2e5b5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images arXiv 2024 https://arxiv.org/pdf/2403.10040v2 65e09d9c57f688ca data/papers/65e09d9c57f688ca.pdf data/papers/65e09d9c57f688ca.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast arXiv 2024 https://arxiv.org/pdf/2403.10603v1 785cd03212b1238d data/papers/785cd03212b1238d.pdf data/papers/785cd03212b1238d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification arXiv 2024 https://arxiv.org/pdf/2403.11135v1 55a7ecfdc0531e6f data/papers/55a7ecfdc0531e6f.pdf data/papers/55a7ecfdc0531e6f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure arXiv 2024 https://arxiv.org/pdf/2403.11425v3 6670b0b20adcee58 data/papers/6670b0b20adcee58.pdf data/papers/6670b0b20adcee58.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AI-Assisted Cervical Cancer Screening arXiv 2024 https://arxiv.org/pdf/2403.11936v2 f7da89a1601bb0c6 data/papers/f7da89a1601bb0c6.pdf data/papers/f7da89a1601bb0c6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Spatial and Semantic Feature Extraction for Skin Cancer Diagnosis with Capsule Networks and Graph Neural Networks arXiv 2024 https://arxiv.org/pdf/2403.12009v2 418241bfc7f56f97 data/papers/418241bfc7f56f97.pdf data/papers/418241bfc7f56f97.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mobile Application for Oral Disease Detection using Federated Learning arXiv 2023 https://arxiv.org/pdf/2403.12044v1 8216ffc6620a7807 data/papers/8216ffc6620a7807.pdf data/papers/8216ffc6620a7807.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transfer Learning for T-Cell Response Prediction arXiv 2024 https://arxiv.org/pdf/2403.12117v2 7c5140ac32acf631 data/papers/7c5140ac32acf631.pdf data/papers/7c5140ac32acf631.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Molecular Classification Using Hyperdimensional Graph Classification arXiv 2024 https://arxiv.org/pdf/2403.12307v1 0954c12d41f0ac74 data/papers/0954c12d41f0ac74.pdf data/papers/0954c12d41f0ac74.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets arXiv 2024 https://arxiv.org/pdf/2403.13113v3 077baa9fc6de3aab data/papers/077baa9fc6de3aab.pdf data/papers/077baa9fc6de3aab.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SIFT-DBT: Self-supervised Initialization and Fine-Tuning for Imbalanced Digital Breast Tomosynthesis Image Classification arXiv 2024 https://arxiv.org/pdf/2403.13148v1 e19f56f27fd2dc94 data/papers/e19f56f27fd2dc94.pdf data/papers/e19f56f27fd2dc94.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The DeepJoint algorithm: An innovative approach for studying the longitudinal evolution of quantitative mammographic density and its association with screen-detected breast cancer risk arXiv 2024 https://arxiv.org/pdf/2403.13488v2 7aa943ad77732464 data/papers/7aa943ad77732464.pdf data/papers/7aa943ad77732464.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? arXiv 2024 https://arxiv.org/pdf/2403.13612v2 9575a4f44feccc06 data/papers/9575a4f44feccc06.pdf data/papers/9575a4f44feccc06.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning and Transformers for Thyroid Carcinoma Diagnosis: A Review arXiv 2024 https://arxiv.org/pdf/2403.13843v2 4bc39d69b7d69803 data/papers/4bc39d69b7d69803.pdf data/papers/4bc39d69b7d69803.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models arXiv 2024 https://arxiv.org/pdf/2403.13890v3 51f1d41360fe47e5 data/papers/51f1d41360fe47e5.pdf data/papers/51f1d41360fe47e5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adversary-Robust Graph-Based Learning of WSIs arXiv 2024 https://arxiv.org/pdf/2403.14489v1 92dc290abb983e45 data/papers/92dc290abb983e45.pdf data/papers/92dc290abb983e45.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distribution-informed and wavelength-flexible data-driven photoacoustic oximetry arXiv 2024 https://arxiv.org/pdf/2403.14863v1 0eaa06a9ab340902 data/papers/0eaa06a9ab340902.pdf data/papers/0eaa06a9ab340902.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +WEEP: A method for spatial interpretation of weakly supervised CNN models in computational pathology arXiv 2024 https://arxiv.org/pdf/2403.15238v3 39151a7d946ac2ee data/papers/39151a7d946ac2ee.pdf data/papers/39151a7d946ac2ee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PCa-RadHop: A Transparent and Lightweight Feed-forward Method for Clinically Significant Prostate Cancer Segmentation arXiv 2024 https://arxiv.org/pdf/2403.15969v1 f998484f5cc0e98f data/papers/f998484f5cc0e98f.pdf data/papers/f998484f5cc0e98f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PSHop: A Lightweight Feed-Forward Method for 3D Prostate Gland Segmentation arXiv 2024 https://arxiv.org/pdf/2403.15971v1 50382288a52a45ce data/papers/50382288a52a45ce.pdf data/papers/50382288a52a45ce.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks arXiv 2024 https://arxiv.org/pdf/2403.16678v1 06927674a1345b54 data/papers/06927674a1345b54.pdf data/papers/06927674a1345b54.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer arXiv 2024 https://arxiv.org/pdf/2403.16695v1 5063dfce59dc8065 data/papers/5063dfce59dc8065.pdf data/papers/5063dfce59dc8065.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers Across Diseases arXiv 2024 https://arxiv.org/pdf/2403.17135v1 24c58c02c3c37f32 data/papers/24c58c02c3c37f32.pdf data/papers/24c58c02c3c37f32.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Decoding the visual attention of pathologists to reveal their level of expertise arXiv 2024 https://arxiv.org/pdf/2403.17255v1 cb856ecc8b019297 data/papers/cb856ecc8b019297.pdf data/papers/cb856ecc8b019297.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields arXiv 2024 https://arxiv.org/pdf/2403.17808v1 8e2e14c4149cb156 data/papers/8e2e14c4149cb156.pdf data/papers/8e2e14c4149cb156.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable cancer cell detection with phonon microscopy using multi-task conditional neural networks for inter-batch calibration arXiv 2024 https://arxiv.org/pdf/2403.17992v1 52d5b45ea6f75412 data/papers/52d5b45ea6f75412.pdf data/papers/52d5b45ea6f75412.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data arXiv 2024 https://arxiv.org/pdf/2403.18233v1 2143a1a73f357e8b data/papers/2143a1a73f357e8b.pdf data/papers/2143a1a73f357e8b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Cancer Imaging Diagnosis with Bayesian Networks and Deep Learning: A Bayesian Deep Learning Approach arXiv 2024 https://arxiv.org/pdf/2403.19083v1 43181822ee935e0a data/papers/43181822ee935e0a.pdf data/papers/43181822ee935e0a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension arXiv 2024 https://arxiv.org/pdf/2403.19099v1 2bad50e867bd1179 data/papers/2bad50e867bd1179.pdf data/papers/2bad50e867bd1179.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays arXiv 2024 https://arxiv.org/pdf/2403.19444v2 4aabfd092273b0f6 data/papers/4aabfd092273b0f6.pdf data/papers/4aabfd092273b0f6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach arXiv 2024 https://arxiv.org/pdf/2403.19820v1 928e90bd4461020c data/papers/928e90bd4461020c.pdf data/papers/928e90bd4461020c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning arXiv 2024 https://arxiv.org/pdf/2403.20112v1 22aa05eeb3faa05a data/papers/22aa05eeb3faa05a.pdf data/papers/22aa05eeb3faa05a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Homomorphic WiSARDs: Efficient Weightless Neural Network training over encrypted data arXiv 2024 https://arxiv.org/pdf/2403.20190v1 d786bbb9d957e374 data/papers/d786bbb9d957e374.pdf data/papers/d786bbb9d957e374.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges arXiv 2024 https://arxiv.org/pdf/2403.20260v3 4c48bebfafe426d4 data/papers/4c48bebfafe426d4.pdf data/papers/4c48bebfafe426d4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SLIMBRAIN: Augmented Reality Real-Time Acquisition and Processing System For Hyperspectral Classification Mapping with Depth Information for In-Vivo Surgical Procedures arXiv 2024 https://arxiv.org/pdf/2404.00048v1 707629aebce4eff1 data/papers/707629aebce4eff1.pdf data/papers/707629aebce4eff1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +YNetr: Dual-Encoder architecture on Plain Scan Liver Tumors (PSLT) arXiv 2024 https://arxiv.org/pdf/2404.00327v2 58e78768e40b136e data/papers/58e78768e40b136e.pdf data/papers/58e78768e40b136e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Bi-Fold Weighted Ensemble Algorithms and its Application to Brain Tumor Detection and Classification arXiv 2024 https://arxiv.org/pdf/2404.00576v1 f27a990dc9cd2d12 data/papers/f27a990dc9cd2d12.pdf data/papers/f27a990dc9cd2d12.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diagnosis of Skin Cancer Using VGG16 and VGG19 Based Transfer Learning Models arXiv 2024 https://arxiv.org/pdf/2404.01160v1 294f23562c3f390e data/papers/294f23562c3f390e.pdf data/papers/294f23562c3f390e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer arXiv 2024 https://arxiv.org/pdf/2404.01192v1 625928beef0e36f4 data/papers/625928beef0e36f4.pdf data/papers/625928beef0e36f4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Enhanced Analysis of Lung Cancer Lesions in EBUS-TBNA -- A Semi-Supervised Video Object Detection Method arXiv 2024 https://arxiv.org/pdf/2404.01929v4 397212aa190cf75c data/papers/397212aa190cf75c.pdf data/papers/397212aa190cf75c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis arXiv 2024 https://arxiv.org/pdf/2404.02394v2 ebbf684529cd258d data/papers/ebbf684529cd258d.pdf data/papers/ebbf684529cd258d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of Nasopharyngeal Cases using DenseNet Deep Learning Architecture arXiv 2024 https://arxiv.org/pdf/2404.03188v1 7062c5d5e620a7a4 data/papers/7062c5d5e620a7a4.pdf data/papers/7062c5d5e620a7a4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Data harvesting vs data farming: A study of the importance of variation vs sample size in deep learning-based auto-segmentation for breast cancer patients arXiv 2024 https://arxiv.org/pdf/2404.03369v1 8f7176a528dfeac3 data/papers/8f7176a528dfeac3.pdf data/papers/8f7176a528dfeac3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer arXiv 2024 https://arxiv.org/pdf/2404.03819v2 71d4dc2da37f595f data/papers/71d4dc2da37f595f.pdf data/papers/71d4dc2da37f595f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI arXiv 2024 https://arxiv.org/pdf/2404.03892v3 1ce65ce94fb287f8 data/papers/1ce65ce94fb287f8.pdf data/papers/1ce65ce94fb287f8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials arXiv 2024 https://arxiv.org/pdf/2404.04510v1 0f753fcc12d724b2 data/papers/0f753fcc12d724b2.pdf data/papers/0f753fcc12d724b2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble Manner arXiv 2024 https://arxiv.org/pdf/2404.04547v1 83a6c2d0c197ef29 data/papers/83a6c2d0c197ef29.pdf data/papers/83a6c2d0c197ef29.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predictive Modeling for Breast Cancer Classification in the Context of Bangladeshi Patients: A Supervised Machine Learning Approach with Explainable AI arXiv 2024 https://arxiv.org/pdf/2404.04686v1 3799c94195a45f42 data/papers/3799c94195a45f42.pdf data/papers/3799c94195a45f42.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning arXiv 2024 https://arxiv.org/pdf/2404.04983v1 d268570a9ce8f475 data/papers/d268570a9ce8f475.pdf data/papers/d268570a9ce8f475.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy from DWI Data arXiv 2024 https://arxiv.org/pdf/2404.05061v1 9cd6acbe4c428b9f data/papers/9cd6acbe4c428b9f.pdf data/papers/9cd6acbe4c428b9f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluating the Effectiveness of Artificial Intelligence in Predicting Adverse Drug Reactions among Cancer Patients: A Systematic Review and Meta-Analysis arXiv 2024 https://arxiv.org/pdf/2404.05762v1 115703747f3f48b5 data/papers/115703747f3f48b5.pdf data/papers/115703747f3f48b5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Natural Learning arXiv 2024 https://arxiv.org/pdf/2404.05903v1 6e8d51e8c2038b4a data/papers/6e8d51e8c2038b4a.pdf data/papers/6e8d51e8c2038b4a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures arXiv 2024 https://arxiv.org/pdf/2404.06080v4 9b79894b3d90c931 data/papers/9b79894b3d90c931.pdf data/papers/9b79894b3d90c931.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Latents for Efficient Thermography Classification and Segmentation arXiv 2024 https://arxiv.org/pdf/2404.06589v2 0f74279809202147 data/papers/0f74279809202147.pdf data/papers/0f74279809202147.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis arXiv 2024 https://arxiv.org/pdf/2404.08023v1 61ae789b22a613d2 data/papers/61ae789b22a613d2.pdf data/papers/61ae789b22a613d2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example arXiv 2024 https://arxiv.org/pdf/2404.08279v1 0d8ba149663804a2 data/papers/0d8ba149663804a2.pdf data/papers/0d8ba149663804a2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Survival Prediction Across Diverse Cancer Types Using Neural Networks arXiv 2024 https://arxiv.org/pdf/2404.08713v1 22b045e380faca7c data/papers/22b045e380faca7c.pdf data/papers/22b045e380faca7c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Meply: A Large-scale Dataset and Baseline Evaluations for Metastatic Perirectal Lymph Node Detection and Segmentation arXiv 2024 https://arxiv.org/pdf/2404.08916v1 160c20c5855f813b data/papers/160c20c5855f813b.pdf data/papers/160c20c5855f813b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Image Classification Method Based on Deep Transfer Learning arXiv 2024 https://arxiv.org/pdf/2404.09226v2 103d55eedcb5c3d7 data/papers/103d55eedcb5c3d7.pdf data/papers/103d55eedcb5c3d7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-Based Segmentation of Tumors in PET/CT Volumes: Benchmark of Different Architectures and Training Strategies arXiv 2024 https://arxiv.org/pdf/2404.09761v1 7bc14019690c140d data/papers/7bc14019690c140d.pdf data/papers/7bc14019690c140d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Biomimicry in Radiation Therapy: Optimizing Patient Scheduling for Improved Treatment Outcomes arXiv 2024 https://arxiv.org/pdf/2404.09996v1 35f0703638e3da15 data/papers/35f0703638e3da15.pdf data/papers/35f0703638e3da15.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of Prostate Cancer in 3D Magnetic Resonance Imaging Data based on Convolutional Neural Networks arXiv 2024 https://arxiv.org/pdf/2404.10548v1 9135c483b61b2ab0 data/papers/9135c483b61b2ab0.pdf data/papers/9135c483b61b2ab0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic classification of prostate MR series type using image content and metadata arXiv 2024 https://arxiv.org/pdf/2404.10892v2 22f6aaa1c798a887 data/papers/22f6aaa1c798a887.pdf data/papers/22f6aaa1c798a887.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images arXiv 2024 https://arxiv.org/pdf/2404.10894v1 e70269ebc807004e data/papers/e70269ebc807004e.pdf data/papers/e70269ebc807004e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification arXiv 2024 https://arxiv.org/pdf/2404.11052v2 a1325ba044ec81ee data/papers/a1325ba044ec81ee.pdf data/papers/a1325ba044ec81ee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Virtual Lung Screening Trial (VLST): An In Silico Study Inspired by the National Lung Screening Trial for Lung Cancer Detection arXiv 2024 https://arxiv.org/pdf/2404.11221v4 3665678cf8242292 data/papers/3665678cf8242292.pdf data/papers/3665678cf8242292.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Density estimation for ordinal biological sequences and its applications arXiv 2024 https://arxiv.org/pdf/2404.11228v1 916eae39e89e3ab3 data/papers/916eae39e89e3ab3.pdf data/papers/916eae39e89e3ab3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Consisaug: A Consistency-based Augmentation for Polyp Detection in Endoscopy Image Analysis arXiv 2024 https://arxiv.org/pdf/2404.11355v1 2a52e2c292928d10 data/papers/2a52e2c292928d10.pdf data/papers/2a52e2c292928d10.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep and Dynamic Metabolic and Structural Imaging in Living Tissues arXiv 2024 https://arxiv.org/pdf/2404.11901v1 29e313b1cddb3df8 data/papers/29e313b1cddb3df8.pdf data/papers/29e313b1cddb3df8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading arXiv 2024 https://arxiv.org/pdf/2404.13097v1 d02efdd01fe0891d data/papers/d02efdd01fe0891d.pdf data/papers/d02efdd01fe0891d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation arXiv 2024 https://arxiv.org/pdf/2404.13704v1 726d4666a03dc66e data/papers/726d4666a03dc66e.pdf data/papers/726d4666a03dc66e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark arXiv 2024 https://arxiv.org/pdf/2404.13756v2 c9d476295fef4b99 data/papers/c9d476295fef4b99.pdf data/papers/c9d476295fef4b99.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs) arXiv 2024 https://arxiv.org/pdf/2404.15009v4 784715803dc04aee data/papers/784715803dc04aee.pdf data/papers/784715803dc04aee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluating Physician-AI Interaction for Cancer Management: Paving the Path towards Precision Oncology arXiv 2024 https://arxiv.org/pdf/2404.15187v1 b47d7625e69c864e data/papers/b47d7625e69c864e.pdf data/papers/b47d7625e69c864e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Large-Scale Training of Pathology Foundation Models arXiv 2024 https://arxiv.org/pdf/2404.15217v1 8500bfdafb14cc5e data/papers/8500bfdafb14cc5e.pdf data/papers/8500bfdafb14cc5e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography arXiv 2024 https://arxiv.org/pdf/2404.15946v1 f30c25baae1aae45 data/papers/f30c25baae1aae45.pdf data/papers/f30c25baae1aae45.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology arXiv 2024 https://arxiv.org/pdf/2404.16397v1 a8fef1db97bda82d data/papers/a8fef1db97bda82d.pdf data/papers/a8fef1db97bda82d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bayesian Federated Inference for Survival Models arXiv 2024 https://arxiv.org/pdf/2404.17464v1 66d0509baaf9d5d1 data/papers/66d0509baaf9d5d1.pdf data/papers/66d0509baaf9d5d1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Longitudinal Mammogram Risk Prediction arXiv 2024 https://arxiv.org/pdf/2404.19083v1 227ca27754320772 data/papers/227ca27754320772.pdf data/papers/227ca27754320772.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fast and label-free 3D virtual H&E histology via active modulation-assisted dynamic full-field OCT arXiv 2024 https://arxiv.org/pdf/2404.19641v1 c2b1b2d9770332d2 data/papers/c2b1b2d9770332d2.pdf data/papers/c2b1b2d9770332d2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study arXiv 2024 https://arxiv.org/pdf/2405.00239v3 6e33faa5f15616c7 data/papers/6e33faa5f15616c7.pdf data/papers/6e33faa5f15616c7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improved and Explainable Cervical Cancer Classification using Ensemble Pooling of Block Fused Descriptors arXiv 2024 https://arxiv.org/pdf/2405.01600v2 400d3aed4bd7f4d0 data/papers/400d3aed4bd7f4d0.pdf data/papers/400d3aed4bd7f4d0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images arXiv 2024 https://arxiv.org/pdf/2405.01644v1 498841c49b8afbec data/papers/498841c49b8afbec.pdf data/papers/498841c49b8afbec.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis arXiv 2024 https://arxiv.org/pdf/2405.01654v1 cd6a5b721743cb02 data/papers/cd6a5b721743cb02.pdf data/papers/cd6a5b721743cb02.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical Images arXiv 2024 https://arxiv.org/pdf/2405.01937v2 43eee01376605a8f data/papers/43eee01376605a8f.pdf data/papers/43eee01376605a8f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics arXiv 2024 https://arxiv.org/pdf/2405.02334v2 40834e3266598c79 data/papers/40834e3266598c79.pdf data/papers/40834e3266598c79.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method arXiv 2024 https://arxiv.org/pdf/2405.03642v2 c22d8661ed9b1a6f data/papers/c22d8661ed9b1a6f.pdf data/papers/c22d8661ed9b1a6f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Swin transformers are robust to distribution and concept drift in endoscopy-based longitudinal rectal cancer assessment arXiv 2024 https://arxiv.org/pdf/2405.03762v4 fee9aa5fbcff5648 data/papers/fee9aa5fbcff5648.pdf data/papers/fee9aa5fbcff5648.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer arXiv 2024 https://arxiv.org/pdf/2405.04078v1 e3414ec81be46338 data/papers/e3414ec81be46338.pdf data/papers/e3414ec81be46338.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BetterNet: An Efficient CNN Architecture with Residual Learning and Attention for Precision Polyp Segmentation arXiv 2024 https://arxiv.org/pdf/2405.04288v1 f619dbdec6879b94 data/papers/f619dbdec6879b94.pdf data/papers/f619dbdec6879b94.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets arXiv 2024 https://arxiv.org/pdf/2405.04605v3 97aef94172fccfd7 data/papers/97aef94172fccfd7.pdf data/papers/97aef94172fccfd7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation arXiv 2024 https://arxiv.org/pdf/2405.05488v1 f02270607d6ca834 data/papers/f02270607d6ca834.pdf data/papers/f02270607d6ca834.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TransAnaNet: Transformer-based Anatomy Change Prediction Network for Head and Neck Cancer Patient Radiotherapy arXiv 2024 https://arxiv.org/pdf/2405.05674v2 903c9c3ffafb7fee data/papers/903c9c3ffafb7fee.pdf data/papers/903c9c3ffafb7fee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reimplementation of Learning to Reweight Examples for Robust Deep Learning arXiv 2024 https://arxiv.org/pdf/2405.06859v1 12d1b25fbbae4c0d data/papers/12d1b25fbbae4c0d.pdf data/papers/12d1b25fbbae4c0d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ResSurv: Cancer Survival Analysis Prediction Model Based on Residual Networks arXiv 2024 https://arxiv.org/pdf/2405.06992v1 5a8ac7670a5a8b97 data/papers/5a8ac7670a5a8b97.pdf data/papers/5a8ac7670a5a8b97.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction arXiv 2024 https://arxiv.org/pdf/2405.07854v1 1cae50cd2babcdc7 data/papers/1cae50cd2babcdc7.pdf data/papers/1cae50cd2babcdc7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Radiogenomic biomarkers for immunotherapy in glioblastoma: A systematic review of magnetic resonance imaging studies arXiv 2024 https://arxiv.org/pdf/2405.07858v1 e70022157a56c3ae data/papers/e70022157a56c3ae.pdf data/papers/e70022157a56c3ae.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer arXiv 2024 https://arxiv.org/pdf/2405.07869v1 f4f47af7c85f9d7e data/papers/f4f47af7c85f9d7e.pdf data/papers/f4f47af7c85f9d7e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +On the Relation Between Autoencoders and Non-negative Matrix Factorization, and Their Application for Mutational Signature Extraction arXiv 2024 https://arxiv.org/pdf/2405.07879v1 1c5937a1385482a5 data/papers/1c5937a1385482a5.pdf data/papers/1c5937a1385482a5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PrivFED -- A Framework for Privacy-Preserving Federated Learning in Enhanced Breast Cancer Diagnosis arXiv 2024 https://arxiv.org/pdf/2405.08084v1 63d815c8d5591104 data/papers/63d815c8d5591104.pdf data/papers/63d815c8d5591104.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IHC Matters: Incorporating IHC analysis to H&E Whole Slide Image Analysis for Improved Cancer Grading via Two-stage Multimodal Bilinear Pooling Fusion arXiv 2024 https://arxiv.org/pdf/2405.08197v1 4c32480d69fa54af data/papers/4c32480d69fa54af.pdf data/papers/4c32480d69fa54af.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Normalizing Foundation Model for Enhanced Multi-Omics Data Analysis in Oncology arXiv 2024 https://arxiv.org/pdf/2405.08226v2 e380863439186978 data/papers/e380863439186978.pdf data/papers/e380863439186978.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring arXiv 2024 https://arxiv.org/pdf/2405.08786v2 80600a1e983fd4ab data/papers/80600a1e983fd4ab.pdf data/papers/80600a1e983fd4ab.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language arXiv 2024 https://arxiv.org/pdf/2405.08888v1 9654f4ce52c9a5a7 data/papers/9654f4ce52c9a5a7.pdf data/papers/9654f4ce52c9a5a7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +drGAT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network arXiv 2024 https://arxiv.org/pdf/2405.08979v1 a57fc415845e3e81 data/papers/a57fc415845e3e81.pdf data/papers/a57fc415845e3e81.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parser arXiv 2024 https://arxiv.org/pdf/2405.09153v1 0c7d707f7a51edf2 data/papers/0c7d707f7a51edf2.pdf data/papers/0c7d707f7a51edf2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Blur Multi-Model (DeepBlurMM) -- a strategy to mitigate the impact of image blur on deep learning model performance in histopathology image analysis arXiv 2024 https://arxiv.org/pdf/2405.09298v3 bfa720d1f4da046b data/papers/bfa720d1f4da046b.pdf data/papers/bfa720d1f4da046b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer arXiv 2024 https://arxiv.org/pdf/2405.09539v2 981505251a4edc31 data/papers/981505251a4edc31.pdf data/papers/981505251a4edc31.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Autoencoder and Generative Adversarial Networks Approach for Multi-Omics Data Imbalanced Class Handling and Classification arXiv 2024 https://arxiv.org/pdf/2405.09756v1 053b698ce993aedb data/papers/053b698ce993aedb.pdf data/papers/053b698ce993aedb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images -- Nevus & Melanoma arXiv 2024 https://arxiv.org/pdf/2405.09851v1 661c4b40f6a254d5 data/papers/661c4b40f6a254d5.pdf data/papers/661c4b40f6a254d5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comprehensive Evaluation of Histopathology Foundation Models for Ovarian Cancer Subtype Classification arXiv 2024 https://arxiv.org/pdf/2405.09990v2 da15376115d95c85 data/papers/da15376115d95c85.pdf data/papers/da15376115d95c85.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology arXiv 2024 https://arxiv.org/pdf/2405.10254v2 13c42febd84d3b3b data/papers/13c42febd84d3b3b.pdf data/papers/13c42febd84d3b3b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning Driven Biomarker Selection for Medical Diagnosis arXiv 2024 https://arxiv.org/pdf/2405.10345v1 f1dd1b0babb76d82 data/papers/f1dd1b0babb76d82.pdf data/papers/f1dd1b0babb76d82.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic segmentation of Organs at Risk in Head and Neck cancer patients from CT and MRI scans arXiv 2024 https://arxiv.org/pdf/2405.10833v2 2c1e9449b3d8d6b4 data/papers/2c1e9449b3d8d6b4.pdf data/papers/2c1e9449b3d8d6b4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EPPS: Advanced Polyp Segmentation via Edge Information Injection and Selective Feature Decoupling arXiv 2024 https://arxiv.org/pdf/2405.11846v2 d795bbc780962ff2 data/papers/d795bbc780962ff2.pdf data/papers/d795bbc780962ff2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment arXiv 2024 https://arxiv.org/pdf/2405.12258v3 ab0e67b590b70ccc data/papers/ab0e67b590b70ccc.pdf data/papers/ab0e67b590b70ccc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports arXiv 2024 https://arxiv.org/pdf/2405.14230v1 49ff866d8e6eab2b data/papers/49ff866d8e6eab2b.pdf data/papers/49ff866d8e6eab2b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of cancer dynamics under treatment using Bayesian neural networks: A simulated study arXiv 2024 https://arxiv.org/pdf/2405.14508v1 720a970cbfa296aa data/papers/720a970cbfa296aa.pdf data/papers/720a970cbfa296aa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images arXiv 2024 https://arxiv.org/pdf/2405.15264v1 3ca96e84515896a8 data/papers/3ca96e84515896a8.pdf data/papers/3ca96e84515896a8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning arXiv 2024 https://arxiv.org/pdf/2405.15275v1 921c2db4f6f41d65 data/papers/921c2db4f6f41d65.pdf data/papers/921c2db4f6f41d65.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion Segmentation arXiv 2024 https://arxiv.org/pdf/2405.15925v2 d648873c88c203a5 data/papers/d648873c88c203a5.pdf data/papers/d648873c88c203a5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Apply Distributed CNN on Genomics to accelerate Transcription-Factor TAL1 Motif Prediction arXiv 2024 https://arxiv.org/pdf/2405.16097v1 c4d5f575c3230c3f data/papers/c4d5f575c3230c3f.pdf data/papers/c4d5f575c3230c3f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generation of synthetic data using breast cancer dataset and classification with resnet18 arXiv 2024 https://arxiv.org/pdf/2405.16286v1 534b701544315350 data/papers/534b701544315350.pdf data/papers/534b701544315350.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Histopathology Based AI Model Predicts Anti-Angiogenic Therapy Response in Renal Cancer Clinical Trial arXiv 2024 https://arxiv.org/pdf/2405.18327v1 9ad7b3475bc35a7d data/papers/9ad7b3475bc35a7d.pdf data/papers/9ad7b3475bc35a7d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime arXiv 2024 https://arxiv.org/pdf/2405.18610v1 57325a6ecdb2fec8 data/papers/57325a6ecdb2fec8.pdf data/papers/57325a6ecdb2fec8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mitigating annotation shift in cancer classification using single image generative models arXiv 2024 https://arxiv.org/pdf/2405.19754v1 31b9563e1d7f9b52 data/papers/31b9563e1d7f9b52.pdf data/papers/31b9563e1d7f9b52.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques arXiv 2024 https://arxiv.org/pdf/2406.00532v1 4cf467241f5ee4a5 data/papers/4cf467241f5ee4a5.pdf data/papers/4cf467241f5ee4a5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis arXiv 2024 https://arxiv.org/pdf/2406.00555v1 2cf0b9cecfaf6783 data/papers/2cf0b9cecfaf6783.pdf data/papers/2cf0b9cecfaf6783.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MGI: Multimodal Contrastive pre-training of Genomic and Medical Imaging arXiv 2024 https://arxiv.org/pdf/2406.00631v1 2b9a9d4aac8903ca data/papers/2b9a9d4aac8903ca.pdf data/papers/2b9a9d4aac8903ca.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scaffold Splits Overestimate Virtual Screening Performance arXiv 2024 https://arxiv.org/pdf/2406.00873v2 0d7aacc9c74d0317 data/papers/0d7aacc9c74d0317.pdf data/papers/0d7aacc9c74d0317.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Immunocto: a massive immune cell database auto-generated for histopathology arXiv 2024 https://arxiv.org/pdf/2406.02618v2 35ed49ea5c56d23d data/papers/35ed49ea5c56d23d.pdf data/papers/35ed49ea5c56d23d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pancreatic Tumor Segmentation as Anomaly Detection in CT Images Using Denoising Diffusion Models arXiv 2024 https://arxiv.org/pdf/2406.02653v1 412a64b0b3c3dffa data/papers/412a64b0b3c3dffa.pdf data/papers/412a64b0b3c3dffa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Radiomics-guided Multimodal Self-attention Network for Predicting Pathological Complete Response in Breast MRI arXiv 2024 https://arxiv.org/pdf/2406.02936v1 a9221de136fc6eaa data/papers/a9221de136fc6eaa.pdf data/papers/a9221de136fc6eaa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification arXiv 2024 https://arxiv.org/pdf/2406.02990v1 cc7f15e80c6efcbe data/papers/cc7f15e80c6efcbe.pdf data/papers/cc7f15e80c6efcbe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas arXiv 2024 https://arxiv.org/pdf/2406.03984v1 59b4de14d7c896e2 data/papers/59b4de14d7c896e2.pdf data/papers/59b4de14d7c896e2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Research on Tumors Segmentation based on Image Enhancement Method arXiv 2024 https://arxiv.org/pdf/2406.05170v1 b0e5e219b7ea4e74 data/papers/b0e5e219b7ea4e74.pdf data/papers/b0e5e219b7ea4e74.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed Tomography arXiv 2024 https://arxiv.org/pdf/2406.05231v2 fb23f703ce85bd9f data/papers/fb23f703ce85bd9f.pdf data/papers/fb23f703ce85bd9f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Blurry-Consistency Segmentation Framework with Selective Stacking on Differential Interference Contrast 3D Breast Cancer Spheroid arXiv 2024 https://arxiv.org/pdf/2406.05349v1 b84a13a61ddd6e27 data/papers/b84a13a61ddd6e27.pdf data/papers/b84a13a61ddd6e27.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography arXiv 2024 https://arxiv.org/pdf/2406.06386v1 299e76b041a250d9 data/papers/299e76b041a250d9.pdf data/papers/299e76b041a250d9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction arXiv 2024 https://arxiv.org/pdf/2406.06517v2 d7317fe9ad626b09 data/papers/d7317fe9ad626b09.pdf data/papers/d7317fe9ad626b09.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploring Multilingual Large Language Models for Enhanced TNM classification of Radiology Report in lung cancer staging arXiv 2024 https://arxiv.org/pdf/2406.06591v2 d17ef8baec751b15 data/papers/d17ef8baec751b15.pdf data/papers/d17ef8baec751b15.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Assessing the risk of recurrence in early-stage breast cancer through H&E stained whole slide images arXiv 2024 https://arxiv.org/pdf/2406.06650v2 abe7c37655da8772 data/papers/abe7c37655da8772.pdf data/papers/abe7c37655da8772.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Entropy-Reinforced Planning with Large Language Models for Drug Discovery arXiv 2024 https://arxiv.org/pdf/2406.07025v2 3972b0ed2c631b54 data/papers/3972b0ed2c631b54.pdf data/papers/3972b0ed2c631b54.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Triage of 3D pathology data via 2.5D multiple-instance learning to guide pathologist assessments arXiv 2024 https://arxiv.org/pdf/2406.07061v1 b5d0dd84744f38dd data/papers/b5d0dd84744f38dd.pdf data/papers/b5d0dd84744f38dd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluating the Impact of Sequence Combinations on Breast Tumor Segmentation in Multiparametric MRI arXiv 2024 https://arxiv.org/pdf/2406.07813v1 1e8d4dd6fcdededc data/papers/1e8d4dd6fcdededc.pdf data/papers/1e8d4dd6fcdededc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MMIL: A novel algorithm for disease associated cell type discovery arXiv 2024 https://arxiv.org/pdf/2406.08322v1 7c8a9943f4fff408 data/papers/7c8a9943f4fff408.pdf data/papers/7c8a9943f4fff408.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes arXiv 2024 https://arxiv.org/pdf/2406.08521v2 1ed31a6235d1d304 data/papers/1ed31a6235d1d304.pdf data/papers/1ed31a6235d1d304.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation arXiv 2024 https://arxiv.org/pdf/2406.08604v2 27adfba55e379910 data/papers/27adfba55e379910.pdf data/papers/27adfba55e379910.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards AI Lesion Tracking in PET/CT Imaging: A Siamese-based CNN Pipeline applied on PSMA PET/CT Scans arXiv 2024 https://arxiv.org/pdf/2406.09327v3 a3b4f2b52b6f1a08 data/papers/a3b4f2b52b6f1a08.pdf data/papers/a3b4f2b52b6f1a08.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Total-Body Parametric Imaging Using Relative Patlak Plot arXiv 2024 https://arxiv.org/pdf/2406.09720v2 9634198dbfa73652 data/papers/9634198dbfa73652.pdf data/papers/9634198dbfa73652.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Heterogeneous Entity Representation for Medicinal Synergy Prediction arXiv 2024 https://arxiv.org/pdf/2406.10778v2 b9d25aef2a6a0613 data/papers/b9d25aef2a6a0613.pdf data/papers/b9d25aef2a6a0613.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Saliency-guided and Patch-based Mixup for Long-tailed Skin Cancer Image Classification arXiv 2024 https://arxiv.org/pdf/2406.10801v1 10277542df8943e7 data/papers/10277542df8943e7.pdf data/papers/10277542df8943e7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Development and Validation of Fully Automatic Deep Learning-Based Algorithms for Immunohistochemistry Reporting of Invasive Breast Ductal Carcinoma arXiv 2024 https://arxiv.org/pdf/2406.10893v1 e504499269f95163 data/papers/e504499269f95163.pdf data/papers/e504499269f95163.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Location-based Radiology Report-Guided Semi-supervised Learning for Prostate Cancer Detection arXiv 2024 https://arxiv.org/pdf/2406.12177v1 73553dfac0a37d41 data/papers/73553dfac0a37d41.pdf data/papers/73553dfac0a37d41.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability arXiv 2024 https://arxiv.org/pdf/2406.12897v1 e76d65dca3335b0f data/papers/e76d65dca3335b0f.pdf data/papers/e76d65dca3335b0f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Human-level molecular optimization driven by mol-gene evolution arXiv 2024 https://arxiv.org/pdf/2406.12910v1 482125e842bec8b8 data/papers/482125e842bec8b8.pdf data/papers/482125e842bec8b8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Skin Cancer Images Classification using Transfer Learning Techniques arXiv 2024 https://arxiv.org/pdf/2406.12954v1 aa964861f4b72151 data/papers/aa964861f4b72151.pdf data/papers/aa964861f4b72151.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +$k$-Submodular Interdiction Problems under Distributional Risk-Receptiveness and Robustness: Application to Machine Learning arXiv 2024 https://arxiv.org/pdf/2406.13023v4 1ad9eaab3116ea37 data/papers/1ad9eaab3116ea37.pdf data/papers/1ad9eaab3116ea37.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LightGBM robust optimization algorithm based on topological data analysis arXiv 2024 https://arxiv.org/pdf/2406.13300v1 789f9d706455e48c data/papers/789f9d706455e48c.pdf data/papers/789f9d706455e48c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Melanoma Thickness Prediction via Deep Transfer Learning enhanced by XAI Techniques arXiv 2024 https://arxiv.org/pdf/2406.13441v1 0bc8a947116ac2b1 data/papers/0bc8a947116ac2b1.pdf data/papers/0bc8a947116ac2b1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation arXiv 2024 https://arxiv.org/pdf/2406.13532v1 630a83de8460af8b data/papers/630a83de8460af8b.pdf data/papers/630a83de8460af8b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations arXiv 2024 https://arxiv.org/pdf/2406.13844v3 731af08eb4de635c data/papers/731af08eb4de635c.pdf data/papers/731af08eb4de635c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning arXiv 2024 https://arxiv.org/pdf/2406.13979v1 68fc83033b6f1d98 data/papers/68fc83033b6f1d98.pdf data/papers/68fc83033b6f1d98.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound arXiv 2024 https://arxiv.org/pdf/2406.14069v1 9e195d10060dd4bb data/papers/9e195d10060dd4bb.pdf data/papers/9e195d10060dd4bb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion arXiv 2024 https://arxiv.org/pdf/2406.14287v1 5afce2bd9f70944b data/papers/5afce2bd9f70944b.pdf data/papers/5afce2bd9f70944b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning arXiv 2024 https://arxiv.org/pdf/2406.14351v1 8da1e5e422b71107 data/papers/8da1e5e422b71107.pdf data/papers/8da1e5e422b71107.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge arXiv 2024 https://arxiv.org/pdf/2406.14365v1 529922a94219c564 data/papers/529922a94219c564.pdf data/papers/529922a94219c564.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Bayesian Generation of Synthetic CT from CBCT Using Patient-Specific Score-Based Prior arXiv 2024 https://arxiv.org/pdf/2406.15219v1 bcbc289fad0f54e9 data/papers/bcbc289fad0f54e9.pdf data/papers/bcbc289fad0f54e9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in mpMRI arXiv 2024 https://arxiv.org/pdf/2406.15571v1 15d23da05c4bb913 data/papers/15d23da05c4bb913.pdf data/papers/15d23da05c4bb913.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated radiotherapy treatment planning guided by GPT-4Vision arXiv 2024 https://arxiv.org/pdf/2406.15609v3 98d691f853d981ee data/papers/98d691f853d981ee.pdf data/papers/98d691f853d981ee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PathoWAve: A Deep Learning-based Weight Averaging Method for Improving Domain Generalization in Histopathology Images arXiv 2024 https://arxiv.org/pdf/2406.15685v1 e70e3a2be339c5c0 data/papers/e70e3a2be339c5c0.pdf data/papers/e70e3a2be339c5c0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-supervised variational autoencoder for cell feature extraction in multiplexed immunofluorescence images arXiv 2024 https://arxiv.org/pdf/2406.15727v2 30312238c269f325 data/papers/30312238c269f325.pdf data/papers/30312238c269f325.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification arXiv 2024 https://arxiv.org/pdf/2406.15979v1 de0a51e682af15c6 data/papers/de0a51e682af15c6.pdf data/papers/de0a51e682af15c6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis arXiv 2024 https://arxiv.org/pdf/2406.16192v2 c7c1d5d925f5ecfb data/papers/c7c1d5d925f5ecfb.pdf data/papers/c7c1d5d925f5ecfb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data arXiv 2024 https://arxiv.org/pdf/2406.16227v1 3dac94e81ca1840e data/papers/3dac94e81ca1840e.pdf data/papers/3dac94e81ca1840e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lesion-Aware Cross-Phase Attention Network for Renal Tumor Subtype Classification on Multi-Phase CT Scans arXiv 2024 https://arxiv.org/pdf/2406.16322v1 44f6329dcd39c138 data/papers/44f6329dcd39c138.pdf data/papers/44f6329dcd39c138.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency arXiv 2024 https://arxiv.org/pdf/2406.17051v2 a206edffad4ce89d data/papers/a206edffad4ce89d.pdf data/papers/a206edffad4ce89d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Stream: Malignant Region Learning for Breast Cancer Diagnosis arXiv 2024 https://arxiv.org/pdf/2406.18212v1 0b8007c5fbe399d1 data/papers/0b8007c5fbe399d1.pdf data/papers/0b8007c5fbe399d1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-modal Evidential Fusion Network for Trustworthy PET/CT Tumor Segmentation arXiv 2024 https://arxiv.org/pdf/2406.18327v2 c1d1552142eaa5f9 data/papers/c1d1552142eaa5f9.pdf data/papers/c1d1552142eaa5f9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Wireless, Multicolor Fluorescence Image Sensor Implant for Real-Time Monitoring in Cancer Therapy arXiv 2024 https://arxiv.org/pdf/2406.18881v1 9648b68e511a7605 data/papers/9648b68e511a7605.pdf data/papers/9648b68e511a7605.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Latent Stain Adaptation for Computational Pathology arXiv 2024 https://arxiv.org/pdf/2406.19081v2 eafc75290e56de4d data/papers/eafc75290e56de4d.pdf data/papers/eafc75290e56de4d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer arXiv 2024 https://arxiv.org/pdf/2407.00175v1 61256ba83b5f322e data/papers/61256ba83b5f322e.pdf data/papers/61256ba83b5f322e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients arXiv 2024 https://arxiv.org/pdf/2407.00438v2 f62211152ada1b6d data/papers/f62211152ada1b6d.pdf data/papers/f62211152ada1b6d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images arXiv 2024 https://arxiv.org/pdf/2407.00664v2 83755a5e696defe4 data/papers/83755a5e696defe4.pdf data/papers/83755a5e696defe4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ASPS: Augmented Segment Anything Model for Polyp Segmentation arXiv 2024 https://arxiv.org/pdf/2407.00718v1 cade4811d46d1ed8 data/papers/cade4811d46d1ed8.pdf data/papers/cade4811d46d1ed8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection arXiv 2024 https://arxiv.org/pdf/2407.01146v1 40d96d5cd21ba2a3 data/papers/40d96d5cd21ba2a3.pdf data/papers/40d96d5cd21ba2a3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection arXiv 2024 https://arxiv.org/pdf/2407.01869v2 24a9dfe1a7d980e9 data/papers/24a9dfe1a7d980e9.pdf data/papers/24a9dfe1a7d980e9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lung-CADex: Fully automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images arXiv 2024 https://arxiv.org/pdf/2407.02625v1 39042ccdb2b09802 data/papers/39042ccdb2b09802.pdf data/papers/39042ccdb2b09802.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploiting Precision Mapping and Component-Specific Feature Enhancement for Breast Cancer Segmentation and Identification arXiv 2024 https://arxiv.org/pdf/2407.02844v6 527eb5b4d356c988 data/papers/527eb5b4d356c988.pdf data/papers/527eb5b4d356c988.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity arXiv 2024 https://arxiv.org/pdf/2407.03292v2 598583c8bc53a68f data/papers/598583c8bc53a68f.pdf data/papers/598583c8bc53a68f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust CATE Estimation Using Novel Ensemble Methods arXiv 2024 https://arxiv.org/pdf/2407.03690v3 6dad334d6e36e5c7 data/papers/6dad334d6e36e5c7.pdf data/papers/6dad334d6e36e5c7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation arXiv 2024 https://arxiv.org/pdf/2407.05416v1 4f73164f5daf5190 data/papers/4f73164f5daf5190.pdf data/papers/4f73164f5daf5190.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural Network arXiv 2024 https://arxiv.org/pdf/2407.05521v1 aff3b03162a9a3da data/papers/aff3b03162a9a3da.pdf data/papers/aff3b03162a9a3da.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PubTrend: General Overview of Artificial Intelligence for Colorectal cancer diagnosis from 2010-2022 arXiv 2024 https://arxiv.org/pdf/2407.06223v1 d0fb744fb2979bcc data/papers/d0fb744fb2979bcc.pdf data/papers/d0fb744fb2979bcc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models arXiv 2024 https://arxiv.org/pdf/2407.06508v3 213f7ad2f4b7e3a2 data/papers/213f7ad2f4b7e3a2.pdf data/papers/213f7ad2f4b7e3a2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging arXiv 2024 https://arxiv.org/pdf/2407.06566v1 5e04e8e88f8b42c4 data/papers/5e04e8e88f8b42c4.pdf data/papers/5e04e8e88f8b42c4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep-Motion-Net: GNN-based volumetric organ shape reconstruction from single-view 2D projections arXiv 2024 https://arxiv.org/pdf/2407.06692v1 83509f8f680a9776 data/papers/83509f8f680a9776.pdf data/papers/83509f8f680a9776.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pan-cancer Histopathology WSI Pre-training with Position-aware Masked Autoencoder arXiv 2024 https://arxiv.org/pdf/2407.07504v4 f7c5c07c5a29ef34 data/papers/f7c5c07c5a29ef34.pdf data/papers/f7c5c07c5a29ef34.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal contrastive learning for spatial gene expression prediction using histology images arXiv 2024 https://arxiv.org/pdf/2407.08216v1 f78173a3f8f5e2a6 data/papers/f78173a3f8f5e2a6.pdf data/papers/f78173a3f8f5e2a6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy arXiv 2024 https://arxiv.org/pdf/2407.08432v1 a533333e8acfcbf5 data/papers/a533333e8acfcbf5.pdf data/papers/a533333e8acfcbf5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DIOR-ViT: Differential Ordinal Learning Vision Transformer for Cancer Classification in Pathology Images arXiv 2024 https://arxiv.org/pdf/2407.08503v1 3170a9158afd901c data/papers/3170a9158afd901c.pdf data/papers/3170a9158afd901c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks arXiv 2024 https://arxiv.org/pdf/2407.08625v1 6c75d342a5e64a29 data/papers/6c75d342a5e64a29.pdf data/papers/6c75d342a5e64a29.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Local Clustering for Lung Cancer Image Classification via Sparse Solution Technique arXiv 2024 https://arxiv.org/pdf/2407.08800v2 6e49edd98d9e4c16 data/papers/6e49edd98d9e4c16.pdf data/papers/6e49edd98d9e4c16.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023 arXiv 2024 https://arxiv.org/pdf/2407.08855v3 adac8cf2cedfef0f data/papers/adac8cf2cedfef0f.pdf data/papers/adac8cf2cedfef0f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification arXiv 2024 https://arxiv.org/pdf/2407.08968v2 ba4a84dd05099f74 data/papers/ba4a84dd05099f74.pdf data/papers/ba4a84dd05099f74.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Topology-enhanced machine learning model (Top-ML) for anticancer peptide prediction arXiv 2024 https://arxiv.org/pdf/2407.08974v4 50b47a2841a72e05 data/papers/50b47a2841a72e05.pdf data/papers/50b47a2841a72e05.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FastImpute: A Baseline for Open-source, Reference-Free Genotype Imputation Methods -- A Case Study in PRS313 arXiv 2024 https://arxiv.org/pdf/2407.09355v1 f21d0f0a1faab5c4 data/papers/f21d0f0a1faab5c4.pdf data/papers/f21d0f0a1faab5c4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application arXiv 2024 https://arxiv.org/pdf/2407.09930v2 11eb4bd63c0f1ae9 data/papers/11eb4bd63c0f1ae9.pdf data/papers/11eb4bd63c0f1ae9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Algorithms for Early Diagnosis of Acute Lymphoblastic Leukemia arXiv 2024 https://arxiv.org/pdf/2407.10251v1 e75c5c4389798e6e data/papers/e75c5c4389798e6e.pdf data/papers/e75c5c4389798e6e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Weakly-Supervised Histopathology Image Segmentation with Knowledge Distillation on MIL-Based Pseudo-Labels arXiv 2024 https://arxiv.org/pdf/2407.10274v1 981db06f810b4c46 data/papers/981db06f810b4c46.pdf data/papers/981db06f810b4c46.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stacking-Enhanced Bagging Ensemble Learning for Breast Cancer Classification with CNN arXiv 2024 https://arxiv.org/pdf/2407.10574v1 c0d01cac8ca8bab2 data/papers/c0d01cac8ca8bab2.pdf data/papers/c0d01cac8ca8bab2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review arXiv 2024 https://arxiv.org/pdf/2407.12058v1 566945327c7c0b5b data/papers/566945327c7c0b5b.pdf data/papers/566945327c7c0b5b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data arXiv 2024 https://arxiv.org/pdf/2407.12669v1 80c62d7727428a2b data/papers/80c62d7727428a2b.pdf data/papers/80c62d7727428a2b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +OMG-Net: A Deep Learning Framework Deploying Segment Anything to Detect Pan-Cancer Mitotic Figures from Haematoxylin and Eosin-Stained Slides arXiv 2024 https://arxiv.org/pdf/2407.12773v1 f417e3f2fab1d0ef data/papers/f417e3f2fab1d0ef.pdf data/papers/f417e3f2fab1d0ef.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CC-DCNet: Dynamic Convolutional Neural Network with Contrastive Constraints for Identifying Lung Cancer Subtypes on Multi-modality Images arXiv 2024 https://arxiv.org/pdf/2407.13092v1 f288f919576d04f2 data/papers/f288f919576d04f2.pdf data/papers/f288f919576d04f2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer arXiv 2024 https://arxiv.org/pdf/2407.13107v1 bc4da0fdc2e809eb data/papers/bc4da0fdc2e809eb.pdf data/papers/bc4da0fdc2e809eb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Quantum Machine Learning: The Power of Non-Linear Optical Reproducing Kernels arXiv 2024 https://arxiv.org/pdf/2407.13809v3 f801132aa3d0cca0 data/papers/f801132aa3d0cca0.pdf data/papers/f801132aa3d0cca0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model arXiv 2024 https://arxiv.org/pdf/2407.14326v1 b5ff5a54e68b3096 data/papers/b5ff5a54e68b3096.pdf data/papers/b5ff5a54e68b3096.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Observed Decisions Quality using Inverse Optimization: A Radiation Therapy Treatment Planning Application arXiv 2024 https://arxiv.org/pdf/2407.14438v1 45899621dec15e9c data/papers/45899621dec15e9c.pdf data/papers/45899621dec15e9c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy arXiv 2024 https://arxiv.org/pdf/2407.14564v1 0285ec3dbfb222cb data/papers/0285ec3dbfb222cb.pdf data/papers/0285ec3dbfb222cb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: A comprehensive analysis arXiv 2024 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colon polyps: Well-calibrated predictions in medical imaging arXiv 2024 https://arxiv.org/pdf/2407.16608v1 d14e67daad746321 data/papers/d14e67daad746321.pdf data/papers/d14e67daad746321.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Establishing Causal Relationship Between Whole Slide Image Predictions and Diagnostic Evidence Subregions in Deep Learning arXiv 2024 https://arxiv.org/pdf/2407.17157v2 85d77caa1d0cb65d data/papers/85d77caa1d0cb65d.pdf data/papers/85d77caa1d0cb65d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia arXiv 2024 https://arxiv.org/pdf/2407.17329v3 3ef93c72df2169aa data/papers/3ef93c72df2169aa.pdf data/papers/3ef93c72df2169aa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification arXiv 2024 https://arxiv.org/pdf/2407.17689v1 a405a7f002a74ddc data/papers/a405a7f002a74ddc.pdf data/papers/a405a7f002a74ddc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Power of Combining Data and Knowledge: GPT-4o is an Effective Interpreter of Machine Learning Models in Predicting Lymph Node Metastasis of Lung Cancer arXiv 2024 https://arxiv.org/pdf/2407.17900v5 ed3c456092da43f9 data/papers/ed3c456092da43f9.pdf data/papers/ed3c456092da43f9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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data/papers/f23125d262011f0e.pdf data/papers/f23125d262011f0e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Large-scale cervical precancerous screening via AI-assisted cytology whole slide image analysis arXiv 2024 https://arxiv.org/pdf/2407.19512v1 4a40f28d9ec7d398 data/papers/4a40f28d9ec7d398.pdf data/papers/4a40f28d9ec7d398.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism arXiv 2024 https://arxiv.org/pdf/2407.19821v2 b525bf8b60203e66 data/papers/b525bf8b60203e66.pdf data/papers/b525bf8b60203e66.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Benchmarking Histopathology Foundation Models for Ovarian Cancer Bevacizumab Treatment Response Prediction from Whole Slide Images arXiv 2024 https://arxiv.org/pdf/2407.20596v1 8355d7f8f4142539 data/papers/8355d7f8f4142539.pdf data/papers/8355d7f8f4142539.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pathology Foundation Models arXiv 2024 https://arxiv.org/pdf/2407.21317v2 8768c59531e4cce8 data/papers/8768c59531e4cce8.pdf data/papers/8768c59531e4cce8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MicroMIL: Graph-based Contextual Multiple Instance Learning for Patient Diagnosis Using Microscopy Images arXiv 2024 https://arxiv.org/pdf/2407.21604v2 d499c0c3617b2d17 data/papers/d499c0c3617b2d17.pdf data/papers/d499c0c3617b2d17.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UnPaSt: unsupervised patient stratification by differentially expressed biclusters in omics data arXiv 2024 https://arxiv.org/pdf/2408.00200v1 5ae92cb0f2dcd517 data/papers/5ae92cb0f2dcd517.pdf data/papers/5ae92cb0f2dcd517.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Empirical Bayes Linked Matrix Decomposition arXiv 2024 https://arxiv.org/pdf/2408.00237v1 04a069dd36862a0f data/papers/04a069dd36862a0f.pdf data/papers/04a069dd36862a0f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CARMIL: Context-Aware Regularization on Multiple Instance Learning models for Whole Slide Images arXiv 2024 https://arxiv.org/pdf/2408.00427v2 3e6b7a9f83377f59 data/papers/3e6b7a9f83377f59.pdf data/papers/3e6b7a9f83377f59.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid Deep Learning Framework for Enhanced Melanoma Detection arXiv 2024 https://arxiv.org/pdf/2408.00772v1 16aa59a369177c18 data/papers/16aa59a369177c18.pdf data/papers/16aa59a369177c18.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SaludConectaMX: Lessons Learned from Deploying a Cooperative Mobile Health System for Pediatric Cancer Care in Mexico arXiv 2024 https://arxiv.org/pdf/2408.00881v1 17e676e9b7120708 data/papers/17e676e9b7120708.pdf data/papers/17e676e9b7120708.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robot-Enabled Machine Learning-Based Diagnosis of Gastric Cancer Polyps Using Partial Surface Tactile Imaging arXiv 2024 https://arxiv.org/pdf/2408.01554v1 6c70ae6ad4041b4a data/papers/6c70ae6ad4041b4a.pdf data/papers/6c70ae6ad4041b4a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification arXiv 2024 https://arxiv.org/pdf/2408.01797v2 ae13d27f2ae329f6 data/papers/ae13d27f2ae329f6.pdf data/papers/ae13d27f2ae329f6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction arXiv 2024 https://arxiv.org/pdf/2408.04170v1 dffc3a0d04023578 data/papers/dffc3a0d04023578.pdf data/papers/dffc3a0d04023578.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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A systematic review arXiv 2024 https://arxiv.org/pdf/2408.05249v2 f0659c8662cce0c6 data/papers/f0659c8662cce0c6.pdf data/papers/f0659c8662cce0c6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning arXiv 2024 https://arxiv.org/pdf/2408.05498v2 92e17a6a97069c47 data/papers/92e17a6a97069c47.pdf data/papers/92e17a6a97069c47.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Multimodal Collaborative Learning for Polyp Re-Identification arXiv 2024 https://arxiv.org/pdf/2408.05914v2 ac98e6f45c951906 data/papers/ac98e6f45c951906.pdf data/papers/ac98e6f45c951906.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conformal predictive intervals in survival analysis: a re-sampling approach arXiv 2024 https://arxiv.org/pdf/2408.06539v1 a322af027efdd89c data/papers/a322af027efdd89c.pdf data/papers/a322af027efdd89c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs arXiv 2024 https://arxiv.org/pdf/2408.06966v1 ae5d3437931757a1 data/papers/ae5d3437931757a1.pdf data/papers/ae5d3437931757a1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integration of Genetic Algorithms and Deep Learning for the Generation and Bioactivity Prediction of Novel Tyrosine Kinase Inhibitors arXiv 2024 https://arxiv.org/pdf/2408.07155v1 49637450ec26addc data/papers/49637450ec26addc.pdf data/papers/49637450ec26addc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pan-cancer gene set discovery via scRNA-seq for optimal deep learning based downstream tasks arXiv 2024 https://arxiv.org/pdf/2408.07233v1 8c96af9b74e65a09 data/papers/8c96af9b74e65a09.pdf data/papers/8c96af9b74e65a09.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning: a Heuristic Three-stage Mechanism for Grid Searches to Optimize the Future Risk Prediction of Breast Cancer Metastasis Using EHR-based Clinical Data arXiv 2024 https://arxiv.org/pdf/2408.07673v2 e2b53641ad1ca8b3 data/papers/e2b53641ad1ca8b3.pdf data/papers/e2b53641ad1ca8b3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis arXiv 2024 https://arxiv.org/pdf/2408.07709v1 4d50d21b120c0c14 data/papers/4d50d21b120c0c14.pdf data/papers/4d50d21b120c0c14.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DOME Registry: Implementing community-wide recommendations for reporting supervised machine learning in biology arXiv 2024 https://arxiv.org/pdf/2408.07721v2 99cf3fa00ca58620 data/papers/99cf3fa00ca58620.pdf data/papers/99cf3fa00ca58620.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploring learning environments for label\-efficient cancer diagnosis arXiv 2024 https://arxiv.org/pdf/2408.07988v2 8626b326cc2422fb data/papers/8626b326cc2422fb.pdf data/papers/8626b326cc2422fb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Snuffy: Efficient Whole Slide Image Classifier arXiv 2024 https://arxiv.org/pdf/2408.08258v3 1600a67d7f39ada5 data/papers/1600a67d7f39ada5.pdf data/papers/1600a67d7f39ada5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Decoding the human brain tissue response to radiofrequency excitation using a biophysical-model-free deep MRI on a chip framework arXiv 2024 https://arxiv.org/pdf/2408.08376v2 70d7494d3dc44ae7 data/papers/70d7494d3dc44ae7.pdf data/papers/70d7494d3dc44ae7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A training regime to learn unified representations from complementary breast imaging modalities arXiv 2024 https://arxiv.org/pdf/2408.08560v1 81bbc2a73ac3289b data/papers/81bbc2a73ac3289b.pdf data/papers/81bbc2a73ac3289b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Colorectal cancer risk mapping through Bayesian Networks arXiv 2024 https://arxiv.org/pdf/2408.08618v2 4e32de6e57d0bdd4 data/papers/4e32de6e57d0bdd4.pdf data/papers/4e32de6e57d0bdd4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HistoGym: A Reinforcement Learning Environment for Histopathological Image Analysis arXiv 2024 https://arxiv.org/pdf/2408.08847v1 63e78bf07e112271 data/papers/63e78bf07e112271.pdf data/papers/63e78bf07e112271.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Oral squamous cell detection using deep learning arXiv 2024 https://arxiv.org/pdf/2408.08939v1 d02db7c1cc41a0fa data/papers/d02db7c1cc41a0fa.pdf data/papers/d02db7c1cc41a0fa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging arXiv 2024 https://arxiv.org/pdf/2408.09367v1 7c594803385380b1 data/papers/7c594803385380b1.pdf data/papers/7c594803385380b1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Lymph Nodes Segmentation Based on Partial Instance Annotations with Pre-trained Dual-branch Network and Pseudo Label Learning arXiv 2024 https://arxiv.org/pdf/2408.09411v2 6d74861aebb61b91 data/papers/6d74861aebb61b91.pdf data/papers/6d74861aebb61b91.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directions arXiv 2024 https://arxiv.org/pdf/2408.09476v1 f9c8ac5620de26e2 data/papers/f9c8ac5620de26e2.pdf data/papers/f9c8ac5620de26e2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification arXiv 2024 https://arxiv.org/pdf/2408.10069v2 96ac15852c660949 data/papers/96ac15852c660949.pdf data/papers/96ac15852c660949.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network arXiv 2024 https://arxiv.org/pdf/2408.12139v2 7c99e1e076d0494f data/papers/7c99e1e076d0494f.pdf data/papers/7c99e1e076d0494f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Whole Slide Image Classification of Salivary Gland Tumours arXiv 2024 https://arxiv.org/pdf/2408.12275v1 f039577b38836fff data/papers/f039577b38836fff.pdf data/papers/f039577b38836fff.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines arXiv 2024 https://arxiv.org/pdf/2408.12491v2 b6b0e694fe8b55d1 data/papers/b6b0e694fe8b55d1.pdf data/papers/b6b0e694fe8b55d1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge arXiv 2024 https://arxiv.org/pdf/2408.12534v1 5fd2d2131e562d32 data/papers/5fd2d2131e562d32.pdf data/papers/5fd2d2131e562d32.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Wave-LSTM: Multi-scale analysis of somatic whole genome copy number profiles arXiv 2024 https://arxiv.org/pdf/2408.12636v1 f666193b05efb913 data/papers/f666193b05efb913.pdf data/papers/f666193b05efb913.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploring Machine Learning Models for Lung Cancer Level Classification: A comparative ML Approach arXiv 2024 https://arxiv.org/pdf/2408.12838v2 3a75fc10fb39793c data/papers/3a75fc10fb39793c.pdf data/papers/3a75fc10fb39793c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Personalised Medicine: Establishing predictive machine learning models for drug responses in patient derived cell culture arXiv 2024 https://arxiv.org/pdf/2408.13012v1 1632e67e897ea5f5 data/papers/1632e67e897ea5f5.pdf data/papers/1632e67e897ea5f5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable breast cancer classification using CNNs on mammographic images arXiv 2024 https://arxiv.org/pdf/2408.13154v1 548cf0364cb2dc12 data/papers/548cf0364cb2dc12.pdf data/papers/548cf0364cb2dc12.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-modal Intermediate Feature Interaction AutoEncoder for Overall Survival Prediction of Esophageal Squamous Cell Cancer arXiv 2024 https://arxiv.org/pdf/2408.13290v1 b9e4a3653fc18bbc data/papers/b9e4a3653fc18bbc.pdf data/papers/b9e4a3653fc18bbc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HER2 and FISH Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning arXiv 2024 https://arxiv.org/pdf/2408.13818v3 7e8161ba4f17e7f6 data/papers/7e8161ba4f17e7f6.pdf data/papers/7e8161ba4f17e7f6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Histology Virtual Staining with Mask-Guided Adversarial Transfer Learning for Tertiary Lymphoid Structure Detection arXiv 2024 https://arxiv.org/pdf/2408.13978v1 124df035413ba13b data/papers/124df035413ba13b.pdf data/papers/124df035413ba13b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interactive decision support system for lung cancer segmentation arXiv 2024 https://arxiv.org/pdf/2408.14521v1 81ba7a040f5cb57c data/papers/81ba7a040f5cb57c.pdf data/papers/81ba7a040f5cb57c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optimizing Lung Cancer Detection in CT Imaging: A Wavelet Multi-Layer Perceptron (WMLP) Approach Enhanced by Dragonfly Algorithm (DA) arXiv 2024 https://arxiv.org/pdf/2408.15355v1 f428f9e2bba2e05b data/papers/f428f9e2bba2e05b.pdf data/papers/f428f9e2bba2e05b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification arXiv 2024 https://arxiv.org/pdf/2408.15458v1 3ec2b8b40bd32ce8 data/papers/3ec2b8b40bd32ce8.pdf data/papers/3ec2b8b40bd32ce8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning to Predict Late-Onset Breast Cancer Metastasis: the Single Hyperparameter Grid Search (SHGS) Strategy for Meta Tuning Concerning Deep Feed-forward Neural Network arXiv 2024 https://arxiv.org/pdf/2408.15498v1 5d7d29bcd31d92ad data/papers/5d7d29bcd31d92ad.pdf data/papers/5d7d29bcd31d92ad.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Benchmarking foundation models as feature extractors for weakly-supervised computational pathology arXiv 2024 https://arxiv.org/pdf/2408.15823v2 b63ca28c8f31d70a data/papers/b63ca28c8f31d70a.pdf data/papers/b63ca28c8f31d70a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Novel Methods for Analyzing Cellular Interactions in Deep Learning-Based Image Cytometry: Spatial Interaction Potential and Co-Localization Index arXiv 2024 https://arxiv.org/pdf/2408.16008v2 ff853d75280ff433 data/papers/ff853d75280ff433.pdf data/papers/ff853d75280ff433.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learning arXiv 2024 https://arxiv.org/pdf/2408.16068v2 e7997c4c7147d1e1 data/papers/e7997c4c7147d1e1.pdf data/papers/e7997c4c7147d1e1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Coalitions of AI-based Methods Predict 15-Year Risks of Breast Cancer Metastasis Using Real-World Clinical Data with AUC up to 0.9 arXiv 2024 https://arxiv.org/pdf/2408.16256v1 127155649863f858 data/papers/127155649863f858.pdf data/papers/127155649863f858.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Shape matters: Inferring the motility of confluent cells from static images arXiv 2024 https://arxiv.org/pdf/2408.16368v1 f0896e5f5eaddda7 data/papers/f0896e5f5eaddda7.pdf data/papers/f0896e5f5eaddda7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology arXiv 2024 https://arxiv.org/pdf/2408.16395v2 38803ff023035212 data/papers/38803ff023035212.pdf data/papers/38803ff023035212.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative Study arXiv 2024 https://arxiv.org/pdf/2408.16859v2 a4fa442d3c78d84a data/papers/a4fa442d3c78d84a.pdf data/papers/a4fa442d3c78d84a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis arXiv 2024 https://arxiv.org/pdf/2408.17054v1 aa02df15b2ee16b6 data/papers/aa02df15b2ee16b6.pdf data/papers/aa02df15b2ee16b6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction arXiv 2024 https://arxiv.org/pdf/2408.17129v2 1221369b50e6ef6d data/papers/1221369b50e6ef6d.pdf data/papers/1221369b50e6ef6d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification arXiv 2024 https://arxiv.org/pdf/2408.17384v1 d20c2c96113d9432 data/papers/d20c2c96113d9432.pdf data/papers/d20c2c96113d9432.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy arXiv 2024 https://arxiv.org/pdf/2409.00045v2 6f464d48d60c8d28 data/papers/6f464d48d60c8d28.pdf data/papers/6f464d48d60c8d28.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploring Adult Glioma through MRI: A Review of Publicly Available Datasets to Guide Efficient Image Analysis arXiv 2024 https://arxiv.org/pdf/2409.00109v2 3afb9123b893f729 data/papers/3afb9123b893f729.pdf data/papers/3afb9123b893f729.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Neural Networks for Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery arXiv 2024 https://arxiv.org/pdf/2409.00163v1 a8cf4c3d4092ed83 data/papers/a8cf4c3d4092ed83.pdf data/papers/a8cf4c3d4092ed83.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Learning for Building Robust Pediatric Chest X-ray Classification Models arXiv 2024 https://arxiv.org/pdf/2409.00231v1 17cb88e4c0136970 data/papers/17cb88e4c0136970.pdf data/papers/17cb88e4c0136970.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors arXiv 2024 https://arxiv.org/pdf/2409.00544v1 3e2205a1ce7767ba data/papers/3e2205a1ce7767ba.pdf data/papers/3e2205a1ce7767ba.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modifying the U-Net's Encoder-Decoder Architecture for Segmentation of Tumors in Breast Ultrasound Images arXiv 2024 https://arxiv.org/pdf/2409.00647v2 b8fff6f99b5ba08b data/papers/b8fff6f99b5ba08b.pdf data/papers/b8fff6f99b5ba08b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging SeNet and ResNet Synergy within an Encoder-Decoder Architecture for Glioma Detection arXiv 2024 https://arxiv.org/pdf/2409.00804v1 42b45c0b1dfc2aae data/papers/42b45c0b1dfc2aae.pdf data/papers/42b45c0b1dfc2aae.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Equitable Skin Disease Prediction Using Transfer Learning and Domain Adaptation arXiv 2024 https://arxiv.org/pdf/2409.00873v1 adbadb44f1a77b83 data/papers/adbadb44f1a77b83.pdf data/papers/adbadb44f1a77b83.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Synthesizing Late-Stage Contrast Enhancement in Breast MRI: A Comprehensive Pipeline Leveraging Temporal Contrast Enhancement Dynamics arXiv 2024 https://arxiv.org/pdf/2409.01596v2 235b098d3b6e5bc1 data/papers/235b098d3b6e5bc1.pdf data/papers/235b098d3b6e5bc1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stacked ensemble\-based mutagenicity prediction model using multiple modalities with graph attention network arXiv 2024 https://arxiv.org/pdf/2409.01731v3 7b37acb4ca1182c3 data/papers/7b37acb4ca1182c3.pdf data/papers/7b37acb4ca1182c3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multimodal Object-level Contrast Learning Method for Cancer Survival Risk Prediction arXiv 2024 https://arxiv.org/pdf/2409.02145v1 8f809c2decf25838 data/papers/8f809c2decf25838.pdf data/papers/8f809c2decf25838.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Brain Ultrasound Ablation Thermal Dose Modeling with in Vivo Experimental Validation arXiv 2024 https://arxiv.org/pdf/2409.02395v2 e14330dd7670fb88 data/papers/e14330dd7670fb88.pdf data/papers/e14330dd7670fb88.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CanvOI, an Oncology Intelligence Foundation Model: Scaling FLOPS Differently arXiv 2024 https://arxiv.org/pdf/2409.02885v1 5714e98a682c3a9f data/papers/5714e98a682c3a9f.pdf data/papers/5714e98a682c3a9f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable AI for computational pathology identifies model limitations and tissue biomarkers arXiv 2024 https://arxiv.org/pdf/2409.03080v2 4111cf8d950eab5c data/papers/4111cf8d950eab5c.pdf data/papers/4111cf8d950eab5c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tissue Concepts: supervised foundation models in computational pathology arXiv 2024 https://arxiv.org/pdf/2409.03519v2 2095cbe3a1e4be49 data/papers/2095cbe3a1e4be49.pdf data/papers/2095cbe3a1e4be49.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluating Machine Learning-based Skin Cancer Diagnosis arXiv 2024 https://arxiv.org/pdf/2409.03794v1 77d957e23f404bd7 data/papers/77d957e23f404bd7.pdf data/papers/77d957e23f404bd7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning for Reducing Noise in RF Control Signals at Industrial Accelerators arXiv 2024 https://arxiv.org/pdf/2409.03931v1 41b7a87bfca55f60 data/papers/41b7a87bfca55f60.pdf data/papers/41b7a87bfca55f60.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Skin Lesion Diagnosis with Ensemble Learning arXiv 2024 https://arxiv.org/pdf/2409.04381v1 6e3b64776b862b72 data/papers/6e3b64776b862b72.pdf data/papers/6e3b64776b862b72.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AD-Net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation arXiv 2024 https://arxiv.org/pdf/2409.05420v1 073da6b348f7a4e5 data/papers/073da6b348f7a4e5.pdf data/papers/073da6b348f7a4e5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Real-time Segmentation of Bio-Morphological Features in Human Cherenkov Imaging during Radiotherapy via Deep Learning arXiv 2024 https://arxiv.org/pdf/2409.05666v1 9aa004fbd02de1a2 data/papers/9aa004fbd02de1a2.pdf data/papers/9aa004fbd02de1a2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmentation by Factorization: Unsupervised Semantic Segmentation for Pathology by Factorizing Foundation Model Features arXiv 2024 https://arxiv.org/pdf/2409.05697v1 1fbb23e22cf5b7c1 data/papers/1fbb23e22cf5b7c1.pdf data/papers/1fbb23e22cf5b7c1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Celcomen: spatial causal disentanglement for single-cell and tissue perturbation modeling arXiv 2024 https://arxiv.org/pdf/2409.05804v1 06e328963a151de9 data/papers/06e328963a151de9.pdf data/papers/06e328963a151de9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images arXiv 2024 https://arxiv.org/pdf/2409.06324v1 545c2d4ef90a7fd3 data/papers/545c2d4ef90a7fd3.pdf data/papers/545c2d4ef90a7fd3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interactive 3D Segmentation for Primary Gross Tumor Volume in Oropharyngeal Cancer arXiv 2024 https://arxiv.org/pdf/2409.06605v1 7b609d9a2706e9fc data/papers/7b609d9a2706e9fc.pdf data/papers/7b609d9a2706e9fc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A comprehensive study on Blood Cancer detection and classification using Convolutional Neural Network arXiv 2024 https://arxiv.org/pdf/2409.06689v1 4205020f83c04f78 data/papers/4205020f83c04f78.pdf data/papers/4205020f83c04f78.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images arXiv 2024 https://arxiv.org/pdf/2409.06694v3 faa424cbc0e1c636 data/papers/faa424cbc0e1c636.pdf data/papers/faa424cbc0e1c636.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection arXiv 2024 https://arxiv.org/pdf/2409.06699v1 35acaa277522ddb8 data/papers/35acaa277522ddb8.pdf data/papers/35acaa277522ddb8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms arXiv 2024 https://arxiv.org/pdf/2409.06887v1 93ad91b405fc6e1e data/papers/93ad91b405fc6e1e.pdf data/papers/93ad91b405fc6e1e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integrating Multiple Data Sources with Interactions in Multi-Omics Using Cooperative Learning arXiv 2024 https://arxiv.org/pdf/2409.07125v2 ce9b2d0d8a2b5da6 data/papers/ce9b2d0d8a2b5da6.pdf data/papers/ce9b2d0d8a2b5da6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Role of Explainable AI in Revolutionizing Human Health Monitoring: A Review arXiv 2024 https://arxiv.org/pdf/2409.07347v3 e4262bc9759e8014 data/papers/e4262bc9759e8014.pdf data/papers/e4262bc9759e8014.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AutoPET Challenge: Tumour Synthesis for Data Augmentation arXiv 2024 https://arxiv.org/pdf/2409.08068v1 61c0d6bef9af420a data/papers/61c0d6bef9af420a.pdf data/papers/61c0d6bef9af420a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Crown-Like Structures in Breast Adipose Tissue: Finding a 'Needle-in-a-Haystack' using Artificial Intelligence and Collaborative Active Learning on the Web arXiv 2024 https://arxiv.org/pdf/2409.08275v1 870d49c666c0dd62 data/papers/870d49c666c0dd62.pdf data/papers/870d49c666c0dd62.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning arXiv 2024 https://arxiv.org/pdf/2409.08331v1 2694102a1902572f data/papers/2694102a1902572f.pdf data/papers/2694102a1902572f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Impact of Stain Variation and Color Normalization for Prognostic Predictions in Pathology arXiv 2024 https://arxiv.org/pdf/2409.08338v1 fe4a864db0884133 data/papers/fe4a864db0884133.pdf data/papers/fe4a864db0884133.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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"{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data arXiv 2024 https://arxiv.org/pdf/2409.08800v1 94a625b964c3ae47 data/papers/94a625b964c3ae47.pdf data/papers/94a625b964c3ae47.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Statistical Analysis of Quantitative Cancer Imaging Data arXiv 2024 https://arxiv.org/pdf/2409.08809v1 ee6fc04cfb85a2e6 data/papers/ee6fc04cfb85a2e6.pdf data/papers/ee6fc04cfb85a2e6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images arXiv 2024 https://arxiv.org/pdf/2409.09053v1 4312f03e0cad0073 data/papers/4312f03e0cad0073.pdf data/papers/4312f03e0cad0073.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging arXiv 2024 https://arxiv.org/pdf/2409.09478v2 85921b83dca14bde data/papers/85921b83dca14bde.pdf data/papers/85921b83dca14bde.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM arXiv 2024 https://arxiv.org/pdf/2409.09520v2 9b9b5c3bc4e5abbe data/papers/9b9b5c3bc4e5abbe.pdf data/papers/9b9b5c3bc4e5abbe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Lesion Segmentation in PET/CT Imaging with Deep Learning and Advanced Data Preprocessing Techniques arXiv 2024 https://arxiv.org/pdf/2409.09784v1 018f82b0cef19c23 data/papers/018f82b0cef19c23.pdf data/papers/018f82b0cef19c23.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Artificial Intelligence-Based Opportunistic Coronary Calcium Screening in the Veterans Affairs National Healthcare System arXiv 2024 https://arxiv.org/pdf/2409.09968v1 7a67c047b5221990 data/papers/7a67c047b5221990.pdf data/papers/7a67c047b5221990.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT Images arXiv 2024 https://arxiv.org/pdf/2409.10151v1 b2686b35c6b6a10b data/papers/b2686b35c6b6a10b.pdf data/papers/b2686b35c6b6a10b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ADIOS: Antibody Development via Opponent Shaping arXiv 2024 https://arxiv.org/pdf/2409.10588v8 ab94ff62153034c3 data/papers/ab94ff62153034c3.pdf data/papers/ab94ff62153034c3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Two Stage Segmentation of Cervical Tumors using PocketNet arXiv 2024 https://arxiv.org/pdf/2409.11456v3 33a0b2313ff28cb7 data/papers/33a0b2313ff28cb7.pdf data/papers/33a0b2313ff28cb7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NCT-CRC-HE: Not All Histopathological Datasets Are Equally Useful arXiv 2024 https://arxiv.org/pdf/2409.11546v1 0c726117b7dd7494 data/papers/0c726117b7dd7494.pdf data/papers/0c726117b7dd7494.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automating proton PBS treatment planning for head and neck cancers using policy gradient-based deep reinforcement learning arXiv 2024 https://arxiv.org/pdf/2409.11576v1 379ba0fa70b67fda data/papers/379ba0fa70b67fda.pdf data/papers/379ba0fa70b67fda.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Agent Aggregator with Mask Denoise Mechanism for Histopathology Whole Slide Image Analysis arXiv 2024 https://arxiv.org/pdf/2409.11664v1 3e60d5c54f3e66ee data/papers/3e60d5c54f3e66ee.pdf data/papers/3e60d5c54f3e66ee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer arXiv 2024 https://arxiv.org/pdf/2409.11910v1 645c5a5fb72d60ee data/papers/645c5a5fb72d60ee.pdf data/papers/645c5a5fb72d60ee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multivariate Analysis of Gut Microbiota Composition and Prevalence of Gastric Cancer arXiv 2024 https://arxiv.org/pdf/2409.12209v1 66e843e81fe16ac4 data/papers/66e843e81fe16ac4.pdf data/papers/66e843e81fe16ac4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection arXiv 2024 https://arxiv.org/pdf/2409.12347v1 53f5f6e00f4b3827 data/papers/53f5f6e00f4b3827.pdf data/papers/53f5f6e00f4b3827.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency arXiv 2024 https://arxiv.org/pdf/2409.12450v1 812e30bb9994dfac data/papers/812e30bb9994dfac.pdf data/papers/812e30bb9994dfac.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CMINNs: Compartment Model Informed Neural Networks -- Unlocking Drug Dynamics arXiv 2024 https://arxiv.org/pdf/2409.12998v1 90aa08565f88ceb2 data/papers/90aa08565f88ceb2.pdf data/papers/90aa08565f88ceb2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TACE: Tumor-Aware Counterfactual Explanations arXiv 2024 https://arxiv.org/pdf/2409.13045v1 48835b9db424d661 data/papers/48835b9db424d661.pdf data/papers/48835b9db424d661.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Classification of White Blood Cell Images using Convolutional Neural Network arXiv 2024 https://arxiv.org/pdf/2409.13442v4 0e8f12cd7a9c2d38 data/papers/0e8f12cd7a9c2d38.pdf data/papers/0e8f12cd7a9c2d38.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient Classification of Histopathology Images arXiv 2024 https://arxiv.org/pdf/2409.13720v1 f0f42151d591cc44 data/papers/f0f42151d591cc44.pdf data/papers/f0f42151d591cc44.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble arXiv 2024 https://arxiv.org/pdf/2409.13779v1 f8701ecb6b266334 data/papers/f8701ecb6b266334.pdf data/papers/f8701ecb6b266334.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning arXiv 2024 https://arxiv.org/pdf/2409.13791v1 00c9e8a6d2278528 data/papers/00c9e8a6d2278528.pdf data/papers/00c9e8a6d2278528.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation arXiv 2024 https://arxiv.org/pdf/2409.13868v1 3b3a2db99e744538 data/papers/3b3a2db99e744538.pdf data/papers/3b3a2db99e744538.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Holistic and Historical 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""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Transfer Learning for Breast Cancer Classification arXiv 2024 https://arxiv.org/pdf/2409.15313v1 2df0fc6851f23b59 data/papers/2df0fc6851f23b59.pdf data/papers/2df0fc6851f23b59.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool arXiv 2024 https://arxiv.org/pdf/2409.15491v1 3597b1b4017baf85 data/papers/3597b1b4017baf85.pdf data/papers/3597b1b4017baf85.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features arXiv 2024 https://arxiv.org/pdf/2409.15744v1 1da4ad0ea7f65940 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https://arxiv.org/pdf/2409.16044v2 37bc450fb6d09ae2 data/papers/37bc450fb6d09ae2.pdf data/papers/37bc450fb6d09ae2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Segmentation Strategies in Deep Learning for Prostate Cancer Diagnosis: A Comparative Study of Mamba, SAM, and YOLO arXiv 2024 https://arxiv.org/pdf/2409.16205v2 fa18115efe51ff5e data/papers/fa18115efe51ff5e.pdf data/papers/fa18115efe51ff5e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computer Aided Detection and Classification of mammograms using Convolutional Neural Network arXiv 2024 https://arxiv.org/pdf/2409.16290v1 c79b2e87fc3adc5e data/papers/c79b2e87fc3adc5e.pdf data/papers/c79b2e87fc3adc5e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Review of Artificial Intelligence in Brachytherapy arXiv 2024 https://arxiv.org/pdf/2409.16543v1 157acc04b8dbb91a data/papers/157acc04b8dbb91a.pdf data/papers/157acc04b8dbb91a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SelectiveKD: A semi-supervised framework for cancer detection in DBT through Knowledge Distillation and Pseudo-labeling arXiv 2024 https://arxiv.org/pdf/2409.16581v1 8f118d7ebf6fe5d7 data/papers/8f118d7ebf6fe5d7.pdf data/papers/8f118d7ebf6fe5d7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Benchmarking Domain Generalization Algorithms in Computational Pathology arXiv 2024 https://arxiv.org/pdf/2409.17063v1 e8cd58c00e5f4543 data/papers/e8cd58c00e5f4543.pdf data/papers/e8cd58c00e5f4543.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba arXiv 2024 https://arxiv.org/pdf/2409.17122v2 da1a23dc9109e3b3 data/papers/da1a23dc9109e3b3.pdf data/papers/da1a23dc9109e3b3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging arXiv 2024 https://arxiv.org/pdf/2409.18303v1 e953a4a441e73d07 data/papers/e953a4a441e73d07.pdf data/papers/e953a4a441e73d07.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised Cognition arXiv 2024 https://arxiv.org/pdf/2409.18624v2 69b83abb62ea1337 data/papers/69b83abb62ea1337.pdf data/papers/69b83abb62ea1337.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-modal Medical Image Fusion For Non-Small Cell Lung Cancer Classification arXiv 2024 https://arxiv.org/pdf/2409.18715v1 8d5164806aa95bdb data/papers/8d5164806aa95bdb.pdf data/papers/8d5164806aa95bdb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training arXiv 2024 https://arxiv.org/pdf/2409.19587v1 b372c60cfc41afb1 data/papers/b372c60cfc41afb1.pdf data/papers/b372c60cfc41afb1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network arXiv 2024 https://arxiv.org/pdf/2409.19901v1 c893963aba9a528f data/papers/c893963aba9a528f.pdf data/papers/c893963aba9a528f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +NUTRIVISION: A System for Automatic Diet Management in Smart Healthcare arXiv 2024 https://arxiv.org/pdf/2409.20508v1 a2f1dcc5f92cf8e8 data/papers/a2f1dcc5f92cf8e8.pdf data/papers/a2f1dcc5f92cf8e8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction and Detection of Terminal Diseases Using Internet of Medical Things: A Review arXiv 2024 https://arxiv.org/pdf/2410.00034v1 f978504faaedc0db data/papers/f978504faaedc0db.pdf data/papers/f978504faaedc0db.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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data/papers/57dd9dc68e90974a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification arXiv 2024 https://arxiv.org/pdf/2410.00509v3 25fe387aa8624dfb data/papers/25fe387aa8624dfb.pdf data/papers/25fe387aa8624dfb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient, broadly-tunable source of megawatt pulses for multiphoton microscopy based on self-phase modulation in argon-filled hollow-core fiber arXiv 2024 https://arxiv.org/pdf/2410.00889v1 1a2fdc24ac26488e data/papers/1a2fdc24ac26488e.pdf data/papers/1a2fdc24ac26488e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integrating Protein Sequence and Expression Level to Analysis Molecular Characterization of Breast Cancer Subtypes arXiv 2024 https://arxiv.org/pdf/2410.01755v2 0a1458653b408b6e data/papers/0a1458653b408b6e.pdf data/papers/0a1458653b408b6e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Image-to-Image Translation Based on Deep Generative Modeling for Radiotherapy Synthetic Dataset Creation arXiv 2024 https://arxiv.org/pdf/2410.01828v1 86d5ae2ff88229ae data/papers/86d5ae2ff88229ae.pdf data/papers/86d5ae2ff88229ae.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Omic and Quantum Machine Learning Integration for Lung Subtypes Classification arXiv 2024 https://arxiv.org/pdf/2410.02085v1 733c77b0dd2bb4ec data/papers/733c77b0dd2bb4ec.pdf data/papers/733c77b0dd2bb4ec.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Nonparametric IPSS: Fast, flexible feature selection with false discovery control arXiv 2024 https://arxiv.org/pdf/2410.02208v2 c671c84ff12cd850 data/papers/c671c84ff12cd850.pdf data/papers/c671c84ff12cd850.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient learning of differential network in multi-source non-paranormal graphical models arXiv 2024 https://arxiv.org/pdf/2410.02496v1 e9d49604355bb2ca data/papers/e9d49604355bb2ca.pdf data/papers/e9d49604355bb2ca.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optimizing Sparse Generalized Singular Vectors for Feature Selection in Proximal Support Vector 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NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Tiered Self-Contrastive Learning for Medical Microwave Radiometry (MWR) Breast Cancer Detection arXiv 2024 https://arxiv.org/pdf/2410.04636v2 f567c976a19966d9 data/papers/f567c976a19966d9.pdf data/papers/f567c976a19966d9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DVS: Blood cancer detection using novel CNN-based ensemble approach arXiv 2024 https://arxiv.org/pdf/2410.05272v1 fa038a0b89aa44d5 data/papers/fa038a0b89aa44d5.pdf data/papers/fa038a0b89aa44d5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification arXiv 2024 https://arxiv.org/pdf/2410.05325v1 57a6c27c3f687ce5 data/papers/57a6c27c3f687ce5.pdf data/papers/57a6c27c3f687ce5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diagnosis of Malignant Lymphoma Cancer Using Hybrid Optimized Techniques Based on Dense Neural Networks arXiv 2024 https://arxiv.org/pdf/2410.06974v1 79fb3641bd90aab4 data/papers/79fb3641bd90aab4.pdf data/papers/79fb3641bd90aab4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Precision Cancer Classification and Biomarker Identification from mRNA Gene Expression via Dimensionality Reduction and Explainable AI arXiv 2024 https://arxiv.org/pdf/2410.07260v1 0667b09c612b0c5d data/papers/0667b09c612b0c5d.pdf data/papers/0667b09c612b0c5d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics arXiv 2024 https://arxiv.org/pdf/2410.08439v3 9074291d2f91e9e5 data/papers/9074291d2f91e9e5.pdf data/papers/9074291d2f91e9e5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detecting collagen by machine learning improved photoacoustic spectral analysis for breast cancer diagnostics: feasibility studies with murine models arXiv 2024 https://arxiv.org/pdf/2410.08496v1 e2c6c8ff1eb0d08f data/papers/e2c6c8ff1eb0d08f.pdf data/papers/e2c6c8ff1eb0d08f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TopOC: Topological Deep Learning for Ovarian and Breast Cancer Diagnosis arXiv 2024 https://arxiv.org/pdf/2410.09818v1 0566c5b961b17a68 data/papers/0566c5b961b17a68.pdf data/papers/0566c5b961b17a68.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records arXiv 2024 https://arxiv.org/pdf/2410.09880v2 85b29655a69681d8 data/papers/85b29655a69681d8.pdf data/papers/85b29655a69681d8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SmoothSegNet: A Global-Local Framework for Liver Tumor Segmentation with Clinical KnowledgeInformed Label Smoothing arXiv 2024 https://arxiv.org/pdf/2410.10005v2 19b2570e54d1b3be data/papers/19b2570e54d1b3be.pdf data/papers/19b2570e54d1b3be.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancer Classification arXiv 2024 https://arxiv.org/pdf/2410.10146v1 2cef354e9eed5f56 data/papers/2cef354e9eed5f56.pdf data/papers/2cef354e9eed5f56.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Slide-based Graph Collaborative Training for Histopathology Whole Slide Image Analysis arXiv 2024 https://arxiv.org/pdf/2410.10260v1 5e65c1068d799e68 data/papers/5e65c1068d799e68.pdf data/papers/5e65c1068d799e68.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Querying functional and structural niches on spatial transcriptomics data arXiv 2024 https://arxiv.org/pdf/2410.10652v2 baf088b9b20882bb data/papers/baf088b9b20882bb.pdf data/papers/baf088b9b20882bb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rician Denoising Diffusion Probabilistic Models For Sodium Breast MRI Enhancement arXiv 2024 https://arxiv.org/pdf/2410.11511v1 3dfb6b01e0e5c78e data/papers/3dfb6b01e0e5c78e.pdf data/papers/3dfb6b01e0e5c78e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Subtype Classification arXiv 2024 https://arxiv.org/pdf/2410.12006v1 5c484352cfbe5d2b data/papers/5c484352cfbe5d2b.pdf data/papers/5c484352cfbe5d2b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UMambaAdj: Advancing GTV Segmentation for Head and Neck Cancer in MRI-Guided RT with UMamba and nnU-Net ResEnc Planner arXiv 2024 https://arxiv.org/pdf/2410.12940v1 c380293c2381e7ed data/papers/c380293c2381e7ed.pdf data/papers/c380293c2381e7ed.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation arXiv 2024 https://arxiv.org/pdf/2410.13178v3 3d96d0e9a1fc410f data/papers/3d96d0e9a1fc410f.pdf data/papers/3d96d0e9a1fc410f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Breast Cancer Survival: A Survival Analysis Approach Using Log Odds and Clinical Variables arXiv 2024 https://arxiv.org/pdf/2410.13404v1 ca711e8adfa7f8c7 data/papers/ca711e8adfa7f8c7.pdf data/papers/ca711e8adfa7f8c7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment Anything arXiv 2024 https://arxiv.org/pdf/2410.13621v4 3b39bf363a2620c1 data/papers/3b39bf363a2620c1.pdf data/papers/3b39bf363a2620c1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis arXiv 2024 https://arxiv.org/pdf/2410.14195v1 8be6b48e10c7e107 data/papers/8be6b48e10c7e107.pdf data/papers/8be6b48e10c7e107.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Bioinformatic Approach Validated Utilizing Machine Learning Algorithms to Identify Relevant Biomarkers and Crucial Pathways in Gallbladder Cancer arXiv 2024 https://arxiv.org/pdf/2410.14433v1 1f4460f71d5ad029 data/papers/1f4460f71d5ad029.pdf data/papers/1f4460f71d5ad029.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique arXiv 2024 https://arxiv.org/pdf/2410.14489v2 327ebf8570456c9c data/papers/327ebf8570456c9c.pdf data/papers/327ebf8570456c9c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification arXiv 2024 https://arxiv.org/pdf/2410.14536v1 4a89874be3f75e9d data/papers/4a89874be3f75e9d.pdf data/papers/4a89874be3f75e9d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Medical Artificial Intelligence for Early Detection of Lung Cancer: A Survey arXiv 2024 https://arxiv.org/pdf/2410.14769v2 2d3371bfdb8ea354 data/papers/2d3371bfdb8ea354.pdf data/papers/2d3371bfdb8ea354.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multimodal Vision Foundation Model for Clinical Dermatology arXiv 2024 https://arxiv.org/pdf/2410.15038v3 7a4615aee286e4fc data/papers/7a4615aee286e4fc.pdf data/papers/7a4615aee286e4fc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks arXiv 2024 https://arxiv.org/pdf/2410.15180v2 a9f4ec07e9f91ef5 data/papers/a9f4ec07e9f91ef5.pdf data/papers/a9f4ec07e9f91ef5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Medical-GAT: Cancer Document Classification Leveraging Graph-Based Residual Network for Scenarios with Limited Data arXiv 2024 https://arxiv.org/pdf/2410.15198v4 6012da727f4c79c9 data/papers/6012da727f4c79c9.pdf data/papers/6012da727f4c79c9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Foundation Models for Slide-level Cancer Subtyping in Digital Pathology arXiv 2024 https://arxiv.org/pdf/2410.15886v1 9df1b3a9c7ff392b data/papers/9df1b3a9c7ff392b.pdf data/papers/9df1b3a9c7ff392b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpreting Microbiome Relative Abundance Data Using Symbolic Regression arXiv 2024 https://arxiv.org/pdf/2410.16109v1 c3d7449179a96c62 data/papers/c3d7449179a96c62.pdf data/papers/c3d7449179a96c62.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Radiomics Detection of Clinically Significant Prostate Cancer on Multicenter MRI: Initial Comparison to PI-RADS Assessment arXiv 2024 https://arxiv.org/pdf/2410.16238v1 98bd5171d7ec1875 data/papers/98bd5171d7ec1875.pdf data/papers/98bd5171d7ec1875.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer Cell Classification using Deep Learning arXiv 2024 https://arxiv.org/pdf/2410.16519v1 d831f0730ed70bc6 data/papers/d831f0730ed70bc6.pdf data/papers/d831f0730ed70bc6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +New Insight in Cervical Cancer Diagnosis Using Convolution Neural Network Architecture arXiv 2024 https://arxiv.org/pdf/2410.17735v1 d1818ffad74415af data/papers/d1818ffad74415af.pdf data/papers/d1818ffad74415af.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncovering the Genetic Basis of Glioblastoma Heterogeneity through Multimodal Analysis of Whole Slide Images and RNA Sequencing Data arXiv 2024 https://arxiv.org/pdf/2410.18710v3 dc7c4ce017c35048 data/papers/dc7c4ce017c35048.pdf data/papers/dc7c4ce017c35048.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A spectral method for multi-view subspace learning using the product of projections arXiv 2024 https://arxiv.org/pdf/2410.19125v1 9b747257f330e20a data/papers/9b747257f330e20a.pdf data/papers/9b747257f330e20a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DCT-HistoTransformer: Efficient Lightweight Vision Transformer with DCT Integration for histopathological image analysis arXiv 2024 https://arxiv.org/pdf/2410.19166v1 d79a92fc61e3075e data/papers/d79a92fc61e3075e.pdf data/papers/d79a92fc61e3075e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Flow-based Truncated Denoising Diffusion Model for Super-resolution Magnetic Resonance Spectroscopic Imaging arXiv 2024 https://arxiv.org/pdf/2410.19288v1 e9b9175d2ccdb782 data/papers/e9b9175d2ccdb782.pdf data/papers/e9b9175d2ccdb782.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Real-Time Multi-Loss Function Optimization Using Dynamic Memory Fusion Framework: A Case Study on Breast Cancer Segmentation arXiv 2024 https://arxiv.org/pdf/2410.19745v1 f9ba63749aa2d157 data/papers/f9ba63749aa2d157.pdf data/papers/f9ba63749aa2d157.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Novel Development of LLM Driven mCODE Data Model for Improved Clinical Trial Matching to Enable Standardization and Interoperability in Oncology Research arXiv 2024 https://arxiv.org/pdf/2410.19826v1 5817d442ab50181a data/papers/5817d442ab50181a.pdf data/papers/5817d442ab50181a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design arXiv 2024 https://arxiv.org/pdf/2410.20688v2 5c33da1331f65ff7 data/papers/5c33da1331f65ff7.pdf data/papers/5c33da1331f65ff7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fidelity-Imposed Displacement Editing for the Learn2Reg 2024 SHG-BF Challenge arXiv 2024 https://arxiv.org/pdf/2410.20812v3 832e44171d08ee56 data/papers/832e44171d08ee56.pdf data/papers/832e44171d08ee56.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-modal AI for comprehensive breast cancer prognostication arXiv 2024 https://arxiv.org/pdf/2410.21256v2 d96eb37e16fb1a71 data/papers/d96eb37e16fb1a71.pdf data/papers/d96eb37e16fb1a71.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Going Beyond H&E and Oncology: How Do Histopathology Foundation Models Perform for Multi-stain IHC and Immunology? arXiv 2024 https://arxiv.org/pdf/2410.21560v1 05260268f3dfb500 data/papers/05260268f3dfb500.pdf data/papers/05260268f3dfb500.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SAM-Swin: SAM-Driven Dual-Swin Transformers with Adaptive Lesion Enhancement for Laryngo-Pharyngeal Tumor Detection arXiv 2024 https://arxiv.org/pdf/2410.21813v1 b6027979957e0c95 data/papers/b6027979957e0c95.pdf data/papers/b6027979957e0c95.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhanced Survival Prediction in Head and Neck Cancer Using Convolutional Block Attention and Multimodal Data Fusion arXiv 2024 https://arxiv.org/pdf/2410.21831v1 49e153436a0a58bd data/papers/49e153436a0a58bd.pdf data/papers/49e153436a0a58bd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Natural Language Processing for Analyzing Electronic Health Records and Clinical Notes in Cancer Research: A Review arXiv 2024 https://arxiv.org/pdf/2410.22180v1 9237d1dec35cf111 data/papers/9237d1dec35cf111.pdf data/papers/9237d1dec35cf111.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Discovering Multi-omic Biomarkers for Prostate Cancer Severity Using Machine Learning arXiv 2024 https://arxiv.org/pdf/2410.22387v1 21863feaf003f9f3 data/papers/21863feaf003f9f3.pdf data/papers/21863feaf003f9f3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning arXiv 2024 https://arxiv.org/pdf/2410.22392v6 5c61936dcc522689 data/papers/5c61936dcc522689.pdf data/papers/5c61936dcc522689.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AI-assisted prostate cancer detection and localisation on biparametric MR by classifying radiologist-positives arXiv 2024 https://arxiv.org/pdf/2410.23084v1 060984cff3857cbd data/papers/060984cff3857cbd.pdf data/papers/060984cff3857cbd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis arXiv 2024 https://arxiv.org/pdf/2410.23595v1 f8829c84b8af72eb data/papers/f8829c84b8af72eb.pdf data/papers/f8829c84b8af72eb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evolutionary accumulation modelling in AMR: machine learning to infer and predict evolutionary dynamics of multi-drug resistance arXiv 2024 https://arxiv.org/pdf/2411.00219v2 f3efb6a9a5430dea data/papers/f3efb6a9a5430dea.pdf data/papers/f3efb6a9a5430dea.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images arXiv 2024 https://arxiv.org/pdf/2411.00749v1 33f802d2bc875d78 data/papers/33f802d2bc875d78.pdf data/papers/33f802d2bc875d78.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks arXiv 2024 https://arxiv.org/pdf/2411.00837v1 5eb99ef22f408f9d data/papers/5eb99ef22f408f9d.pdf data/papers/5eb99ef22f408f9d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Revolutionizing Personalized Cancer Vaccines with NEO: Novel Epitope Optimization Using an Aggregated Feed Forward and Recurrent Neural Network with LSTM Architecture arXiv 2024 https://arxiv.org/pdf/2411.00885v1 c6ae8d7473e2430c data/papers/c6ae8d7473e2430c.pdf data/papers/c6ae8d7473e2430c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection arXiv 2024 https://arxiv.org/pdf/2411.01025v1 1a7fceb9539e601e data/papers/1a7fceb9539e601e.pdf data/papers/1a7fceb9539e601e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Statistical Inference on High Dimensional Gaussian Graphical Regression Models arXiv 2024 https://arxiv.org/pdf/2411.01588v1 7194cb231e22652d data/papers/7194cb231e22652d.pdf data/papers/7194cb231e22652d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Simulation of Nanorobots with Artificial Intelligence and Reinforcement Learning for Advanced Cancer Cell Detection and Tracking arXiv 2024 https://arxiv.org/pdf/2411.02345v1 1c855b4c63a41c0f data/papers/1c855b4c63a41c0f.pdf data/papers/1c855b4c63a41c0f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains arXiv 2024 https://arxiv.org/pdf/2411.02466v1 d7c2a9f1a7d79f70 data/papers/d7c2a9f1a7d79f70.pdf data/papers/d7c2a9f1a7d79f70.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Full Field Digital Mammography Dataset from a Population Screening Program arXiv 2024 https://arxiv.org/pdf/2411.02710v1 21f04f67db4d5918 data/papers/21f04f67db4d5918.pdf data/papers/21f04f67db4d5918.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advancements in Nanoparticle-based Near-Infrared Fluorescence Probes for Cancer Specific Imaging Applications arXiv 2024 https://arxiv.org/pdf/2411.03319v1 e10f6ba89ae6b88e data/papers/e10f6ba89ae6b88e.pdf data/papers/e10f6ba89ae6b88e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pathway-Guided Optimization of Deep Generative Molecular Design Models for Cancer Therapy arXiv 2024 https://arxiv.org/pdf/2411.03460v1 5ba735eccdff4199 data/papers/5ba735eccdff4199.pdf data/papers/5ba735eccdff4199.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Memorized action chunking with Transformers: Imitation learning for vision-based tissue surface scanning arXiv 2024 https://arxiv.org/pdf/2411.04050v1 2721440917ea9bba data/papers/2721440917ea9bba.pdf data/papers/2721440917ea9bba.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation arXiv 2024 https://arxiv.org/pdf/2411.04509v1 3c24d5761eac51d4 data/papers/3c24d5761eac51d4.pdf data/papers/3c24d5761eac51d4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Trust in Clinically Significant Prostate Cancer Prediction with Multiple Magnetic Resonance Imaging Modalities arXiv 2024 https://arxiv.org/pdf/2411.04662v1 cffa2919c08d80d4 data/papers/cffa2919c08d80d4.pdf data/papers/cffa2919c08d80d4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quantum Neural Network Classifier for Cancer Registry System Testing: A Feasibility Study arXiv 2024 https://arxiv.org/pdf/2411.04740v1 bc4f410b9a90fe48 data/papers/bc4f410b9a90fe48.pdf data/papers/bc4f410b9a90fe48.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Equivariant Graph Attention Networks with Structural Motifs for Predicting Cell Line-Specific Synergistic Drug Combinations arXiv 2024 https://arxiv.org/pdf/2411.04747v1 27047f71bfa97439 data/papers/27047f71bfa97439.pdf data/papers/27047f71bfa97439.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable AI through a Democratic Lens: DhondtXAI for Proportional Feature Importance Using the D'Hondt Method arXiv 2024 https://arxiv.org/pdf/2411.05196v2 36598d6644774653 data/papers/36598d6644774653.pdf data/papers/36598d6644774653.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer Classification arXiv 2024 https://arxiv.org/pdf/2411.05269v1 f4ccc14402f10dc5 data/papers/f4ccc14402f10dc5.pdf data/papers/f4ccc14402f10dc5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine learning for prediction of dose-volume histograms of organs-at-risk in prostate cancer from simple structure volume parameters arXiv 2024 https://arxiv.org/pdf/2411.05378v1 bb671db2e22496c1 data/papers/bb671db2e22496c1.pdf data/papers/bb671db2e22496c1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient Self-Supervised Barlow Twins from Limited Tissue Slide Cohorts for Colonic Pathology Diagnostics arXiv 2024 https://arxiv.org/pdf/2411.05959v1 cc2e95e41f9237f3 data/papers/cc2e95e41f9237f3.pdf data/papers/cc2e95e41f9237f3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +T2-Only Prostate Cancer Prediction by Meta-Learning from Bi-Parametric MR Imaging arXiv 2024 https://arxiv.org/pdf/2411.07416v1 097907e426ea3dd7 data/papers/097907e426ea3dd7.pdf data/papers/097907e426ea3dd7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell Lung Cancer arXiv 2024 https://arxiv.org/pdf/2411.07643v1 5be8ea29354e7cc7 data/papers/5be8ea29354e7cc7.pdf data/papers/5be8ea29354e7cc7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification arXiv 2024 https://arxiv.org/pdf/2411.07660v3 f473228d57e6d261 data/papers/f473228d57e6d261.pdf data/papers/f473228d57e6d261.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fluoroformer: Scaling multiple instance learning to multiplexed images via attention-based channel fusion arXiv 2024 https://arxiv.org/pdf/2411.08975v1 1e2bbf861b42b833 data/papers/1e2bbf861b42b833.pdf data/papers/1e2bbf861b42b833.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology arXiv 2024 https://arxiv.org/pdf/2411.09373v1 06c462a490d4a193 data/papers/06c462a490d4a193.pdf data/papers/06c462a490d4a193.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Explainable Attention Model for Cervical Precancer Risk Classification using Colposcopic Images arXiv 2024 https://arxiv.org/pdf/2411.09469v1 ee093e882c316f8a data/papers/ee093e882c316f8a.pdf data/papers/ee093e882c316f8a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diagnostic Text-guided Representation Learning in Hierarchical Classification for Pathological Whole Slide Image arXiv 2024 https://arxiv.org/pdf/2411.10709v1 e9968cd7add87c68 data/papers/e9968cd7add87c68.pdf data/papers/e9968cd7add87c68.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep BI-RADS Network for Improved Cancer Detection from Mammograms arXiv 2024 https://arxiv.org/pdf/2411.10894v1 e70bd5bbe59d8b52 data/papers/e70bd5bbe59d8b52.pdf data/papers/e70bd5bbe59d8b52.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification arXiv 2024 https://arxiv.org/pdf/2411.11087v1 960172fdc754d9b3 data/papers/960172fdc754d9b3.pdf data/papers/960172fdc754d9b3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation arXiv 2024 https://arxiv.org/pdf/2411.11116v1 a77464481e88c0f1 data/papers/a77464481e88c0f1.pdf data/papers/a77464481e88c0f1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Look a Group at Once: Multi-Slide Modeling for Survival Prediction arXiv 2024 https://arxiv.org/pdf/2411.11487v2 d8c3609347ff808f data/papers/d8c3609347ff808f.pdf data/papers/d8c3609347ff808f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AI Guided Early Screening of Cervical Cancer arXiv 2024 https://arxiv.org/pdf/2411.12681v1 47a9f31ebb20db8a data/papers/47a9f31ebb20db8a.pdf data/papers/47a9f31ebb20db8a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Evolutional Neural Network Framework for Classification of Microarray Data arXiv 2024 https://arxiv.org/pdf/2411.13326v1 34b1fd4c6953bcfb data/papers/34b1fd4c6953bcfb.pdf data/papers/34b1fd4c6953bcfb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comparative Analysis of Machine Learning and Deep Learning Models for Classifying Squamous Epithelial Cells of the Cervix arXiv 2024 https://arxiv.org/pdf/2411.13535v1 7b4a94af47a4c20d data/papers/7b4a94af47a4c20d.pdf data/papers/7b4a94af47a4c20d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Approach for Enhancing Oral Squamous Cell Carcinoma with LIME Explainable AI Technique arXiv 2024 https://arxiv.org/pdf/2411.14184v2 54ccb9315c717cf0 data/papers/54ccb9315c717cf0.pdf data/papers/54ccb9315c717cf0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification arXiv 2024 https://arxiv.org/pdf/2411.14743v2 bb3c0e899f0c2bf6 data/papers/bb3c0e899f0c2bf6.pdf data/papers/bb3c0e899f0c2bf6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy arXiv 2024 https://arxiv.org/pdf/2411.14752v1 a0f641c37efeb3df data/papers/a0f641c37efeb3df.pdf data/papers/a0f641c37efeb3df.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quantum-enhanced unsupervised image segmentation for medical images analysis arXiv 2024 https://arxiv.org/pdf/2411.15086v1 00357764763da3f6 data/papers/00357764763da3f6.pdf data/papers/00357764763da3f6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Stain-Invariant Representation for Tissue Classification in Histology Images arXiv 2024 https://arxiv.org/pdf/2411.15237v1 0a71cb2bdedd7145 data/papers/0a71cb2bdedd7145.pdf data/papers/0a71cb2bdedd7145.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy arXiv 2024 https://arxiv.org/pdf/2411.15322v1 13a04a26064ac386 data/papers/13a04a26064ac386.pdf data/papers/13a04a26064ac386.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation arXiv 2024 https://arxiv.org/pdf/2411.15624v1 4d1f3504c0540edf data/papers/4d1f3504c0540edf.pdf data/papers/4d1f3504c0540edf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing the automatic segmentation and analysis of 3D liver vasculature models arXiv 2024 https://arxiv.org/pdf/2411.15778v4 f7f9ece8103a5d8f data/papers/f7f9ece8103a5d8f.pdf data/papers/f7f9ece8103a5d8f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2 arXiv 2024 https://arxiv.org/pdf/2411.15802v1 5f63bc701db5a797 data/papers/5f63bc701db5a797.pdf data/papers/5f63bc701db5a797.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Peritumoral Expansion Radiomics for Improved Lung Cancer Classification arXiv 2024 https://arxiv.org/pdf/2411.16008v1 e257acd262183615 data/papers/e257acd262183615.pdf data/papers/e257acd262183615.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsy arXiv 2024 https://arxiv.org/pdf/2411.16332v1 1cf751a38db36eba data/papers/1cf751a38db36eba.pdf data/papers/1cf751a38db36eba.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction arXiv 2024 https://arxiv.org/pdf/2411.16629v1 4d6e19c84eb6a5eb data/papers/4d6e19c84eb6a5eb.pdf data/papers/4d6e19c84eb6a5eb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Fluorescence Lifetime Parameter Estimation Accuracy with Differential Transformer Based Deep Learning Model Incorporating Pixelwise Instrument Response Function arXiv 2024 https://arxiv.org/pdf/2411.16896v2 07f81ad065292131 data/papers/07f81ad065292131.pdf data/papers/07f81ad065292131.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering arXiv 2024 https://arxiv.org/pdf/2411.17073v1 7085dc4537760916 data/papers/7085dc4537760916.pdf data/papers/7085dc4537760916.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Training a neural netwok for data reduction and better generalization arXiv 2024 https://arxiv.org/pdf/2411.17180v3 5627f848017bc18d data/papers/5627f848017bc18d.pdf data/papers/5627f848017bc18d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Tumor Classification Using EfficientNet Deep Learning Model arXiv 2024 https://arxiv.org/pdf/2411.17870v1 17f1d5dcc04b1863 data/papers/17f1d5dcc04b1863.pdf data/papers/17f1d5dcc04b1863.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Aligning Knowledge Concepts to Whole Slide Images for Precise Histopathology Image Analysis arXiv 2024 https://arxiv.org/pdf/2411.18101v1 8a192e4a693a3e4f data/papers/8a192e4a693a3e4f.pdf data/papers/8a192e4a693a3e4f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PATHS: A Hierarchical Transformer for Efficient Whole Slide Image Analysis arXiv 2024 https://arxiv.org/pdf/2411.18225v1 29212bd7003d6abf data/papers/29212bd7003d6abf.pdf data/papers/29212bd7003d6abf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy arXiv 2024 https://arxiv.org/pdf/2411.18767v1 5d620a34b53fd6d9 data/papers/5d620a34b53fd6d9.pdf data/papers/5d620a34b53fd6d9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MRI Breast tissue segmentation using nnU-Net for biomechanical modeling arXiv 2024 https://arxiv.org/pdf/2411.18784v1 56ff91c17c55af5f data/papers/56ff91c17c55af5f.pdf data/papers/56ff91c17c55af5f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Demographic Predictability in 3D CT Foundation Embeddings arXiv 2024 https://arxiv.org/pdf/2412.00110v1 7761899fa1d212f8 data/papers/7761899fa1d212f8.pdf data/papers/7761899fa1d212f8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Skin Cancer Diagnosis (SCD) Using Late Discrete Wavelet Transform (DWT) and New Swarm-Based Optimizers arXiv 2024 https://arxiv.org/pdf/2412.00472v1 261ee255aeef6768 data/papers/261ee255aeef6768.pdf data/papers/261ee255aeef6768.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer arXiv 2024 https://arxiv.org/pdf/2412.00663v1 2c2f92df756df7db data/papers/2c2f92df756df7db.pdf data/papers/2c2f92df756df7db.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DPE-Net: Dual-Parallel Encoder Based Network for Semantic Segmentation of Polyps arXiv 2024 https://arxiv.org/pdf/2412.00888v2 8ccc2431ef57df6d data/papers/8ccc2431ef57df6d.pdf data/papers/8ccc2431ef57df6d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal Fusion Learning with Dual Attention for Medical Imaging arXiv 2024 https://arxiv.org/pdf/2412.01248v1 1eb4c05ab8d628e0 data/papers/1eb4c05ab8d628e0.pdf data/papers/1eb4c05ab8d628e0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Harnessing Preference Optimisation in Protein LMs for Hit Maturation in Cell Therapy arXiv 2024 https://arxiv.org/pdf/2412.01388v2 cf18c3716a127d71 data/papers/cf18c3716a127d71.pdf data/papers/cf18c3716a127d71.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion Segmentation arXiv 2024 https://arxiv.org/pdf/2412.01405v1 4869fde7040ec6f9 data/papers/4869fde7040ec6f9.pdf data/papers/4869fde7040ec6f9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans arXiv 2024 https://arxiv.org/pdf/2412.01973v1 2c93c8d5a0101305 data/papers/2c93c8d5a0101305.pdf data/papers/2c93c8d5a0101305.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A new Time-decay Radiomics Integrated Network (TRINet) for short-term breast cancer risk prediction arXiv 2024 https://arxiv.org/pdf/2412.03081v1 94faedf2eef913fe data/papers/94faedf2eef913fe.pdf data/papers/94faedf2eef913fe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images arXiv 2024 https://arxiv.org/pdf/2412.03084v2 84013bf985dc00f9 data/papers/84013bf985dc00f9.pdf data/papers/84013bf985dc00f9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Are Explanations Helpful? A Comparative Analysis of Explainability Methods in Skin Lesion Classifiers arXiv 2024 https://arxiv.org/pdf/2412.03166v1 62dfb21375d2f1cf data/papers/62dfb21375d2f1cf.pdf data/papers/62dfb21375d2f1cf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Benchmarking Pretrained Attention-based Models for Real-Time Recognition in Robot-Assisted Esophagectomy arXiv 2024 https://arxiv.org/pdf/2412.03401v2 ba68553182102d44 data/papers/ba68553182102d44.pdf data/papers/ba68553182102d44.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy arXiv 2024 https://arxiv.org/pdf/2412.04039v1 23ae83a130fe80fc data/papers/23ae83a130fe80fc.pdf data/papers/23ae83a130fe80fc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Differentially Private Kaplan-Meier Estimator for Privacy-Preserving Survival Analysis arXiv 2024 https://arxiv.org/pdf/2412.05164v1 612ab4d80f215548 data/papers/612ab4d80f215548.pdf data/papers/612ab4d80f215548.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving text-conditioned latent diffusion for cancer pathology arXiv 2024 https://arxiv.org/pdf/2412.06487v1 6112dee2f704bd05 data/papers/6112dee2f704bd05.pdf data/papers/6112dee2f704bd05.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Helicobacter pylori AI-Clinician: Harnessing Artificial Intelligence to Personalize H. pylori Treatment Recommendations arXiv 2024 https://arxiv.org/pdf/2412.06841v1 f3026facfeba67f9 data/papers/f3026facfeba67f9.pdf data/papers/f3026facfeba67f9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A multimodal ensemble approach for clear cell renal cell carcinoma treatment outcome prediction arXiv 2024 https://arxiv.org/pdf/2412.07136v1 e3753982bcbb6931 data/papers/e3753982bcbb6931.pdf data/papers/e3753982bcbb6931.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhanced MRI Representation via Cross-series Masking arXiv 2024 https://arxiv.org/pdf/2412.07387v1 641ca5fc4f783e5d data/papers/641ca5fc4f783e5d.pdf data/papers/641ca5fc4f783e5d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-modal Representation Learning Enables Accurate Protein Function Prediction in Low-Data Setting arXiv 2024 https://arxiv.org/pdf/2412.08649v1 7cc607d54fca7cf0 data/papers/7cc607d54fca7cf0.pdf data/papers/7cc607d54fca7cf0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images arXiv 2024 https://arxiv.org/pdf/2412.09910v1 3d2dea063dc9e3d3 data/papers/3d2dea063dc9e3d3.pdf data/papers/3d2dea063dc9e3d3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Computational Methods for Breast Cancer Molecular Profiling through Routine Histopathology: A Review arXiv 2024 https://arxiv.org/pdf/2412.10392v1 572fe34aa7a72da3 data/papers/572fe34aa7a72da3.pdf data/papers/572fe34aa7a72da3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound arXiv 2024 https://arxiv.org/pdf/2412.10997v1 4261fd15d78309fe data/papers/4261fd15d78309fe.pdf data/papers/4261fd15d78309fe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Impact of AI Explanations on Clinicians Trust and Diagnostic Accuracy in Breast Cancer arXiv 2024 https://arxiv.org/pdf/2412.11298v1 8959bc94b294be67 data/papers/8959bc94b294be67.pdf data/papers/8959bc94b294be67.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning Massive-scale Partial Correlation Networks in Clinical Multi-omics Studies with HP-ACCORD arXiv 2024 https://arxiv.org/pdf/2412.11554v2 bf87b8c6008199ed data/papers/bf87b8c6008199ed.pdf data/papers/bf87b8c6008199ed.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reliable Breast Cancer Molecular Subtype Prediction based on uncertainty-aware Bayesian Deep Learning by Mammography arXiv 2024 https://arxiv.org/pdf/2412.11953v2 3ca8000257763e15 data/papers/3ca8000257763e15.pdf data/papers/3ca8000257763e15.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DLSOM: A Deep learning-based strategy for liver cancer subtyping arXiv 2024 https://arxiv.org/pdf/2412.12214v1 5893576dd6d39162 data/papers/5893576dd6d39162.pdf data/papers/5893576dd6d39162.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Knowledge-enhanced Pathology Vision-language Foundation Model for Cancer Diagnosis arXiv 2024 https://arxiv.org/pdf/2412.13126v1 dfc957ac9f7344b2 data/papers/dfc957ac9f7344b2.pdf data/papers/dfc957ac9f7344b2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes arXiv 2024 https://arxiv.org/pdf/2412.13228v3 13bdf2e19919bea9 data/papers/13bdf2e19919bea9.pdf data/papers/13bdf2e19919bea9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Summary of Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images arXiv 2024 https://arxiv.org/pdf/2412.14545v1 cfce77d1ccb1edb5 data/papers/cfce77d1ccb1edb5.pdf data/papers/cfce77d1ccb1edb5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet arXiv 2024 https://arxiv.org/pdf/2412.14846v2 9ff10eede8b18d45 data/papers/9ff10eede8b18d45.pdf data/papers/9ff10eede8b18d45.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Classification Benchmark for Artificial Intelligence Detection of Laryngeal Cancer from Patient Voice arXiv 2024 https://arxiv.org/pdf/2412.16267v2 5c1591de620fe17e data/papers/5c1591de620fe17e.pdf data/papers/5c1591de620fe17e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Histopathology Images to Cell Clouds: Learning Slide Representations with Hierarchical Cell Transformer arXiv 2024 https://arxiv.org/pdf/2412.16715v1 0326141a59208fcb data/papers/0326141a59208fcb.pdf data/papers/0326141a59208fcb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comparative Study on Machine Learning Models to Classify Diseases Based on Patient Behaviour and Habits arXiv 2024 https://arxiv.org/pdf/2412.16768v1 cdc3f90bfebd0dd6 data/papers/cdc3f90bfebd0dd6.pdf data/papers/cdc3f90bfebd0dd6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PINN-EMFNet: PINN-based and Enhanced Multi-Scale Feature Fusion Network for Breast Ultrasound Images Segmentation arXiv 2024 https://arxiv.org/pdf/2412.16937v1 60543e87cca72985 data/papers/60543e87cca72985.pdf data/papers/60543e87cca72985.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Potential of Convolutional Neural Networks for Cancer Detection arXiv 2024 https://arxiv.org/pdf/2412.17155v3 9f77469a1f90b026 data/papers/9f77469a1f90b026.pdf data/papers/9f77469a1f90b026.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MatchMiner-AI: An Open-Source Solution for Cancer Clinical Trial Matching arXiv 2024 https://arxiv.org/pdf/2412.17228v1 9838efc3944bef16 data/papers/9838efc3944bef16.pdf data/papers/9838efc3944bef16.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Rethinking Cancer Gene Identification through Graph Anomaly Analysis arXiv 2024 https://arxiv.org/pdf/2412.17240v2 111103b06ff4d4a7 data/papers/111103b06ff4d4a7.pdf data/papers/111103b06ff4d4a7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +QTSeg: A Query Token-Based Dual-Mix Attention Framework with Multi-Level Feature Distribution for Medical Image Segmentation arXiv 2024 https://arxiv.org/pdf/2412.17241v2 3142edffa0421520 data/papers/3142edffa0421520.pdf data/papers/3142edffa0421520.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing Cancer Diagnosis with Explainable & Trustworthy Deep Learning Models arXiv 2024 https://arxiv.org/pdf/2412.17527v1 700e2f724163d696 data/papers/700e2f724163d696.pdf data/papers/700e2f724163d696.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MRANet: A Modified Residual Attention Networks for Lung and Colon Cancer Classification arXiv 2024 https://arxiv.org/pdf/2412.17700v1 f1e5f3c42aa52af4 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Attention for Segmentation of Polyps in Colonoscopy arXiv 2024 https://arxiv.org/pdf/2412.19464v1 70dbcb865ed96805 data/papers/70dbcb865ed96805.pdf data/papers/70dbcb865ed96805.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unlocking adaptive digital pathology through dynamic feature learning arXiv 2024 https://arxiv.org/pdf/2412.20430v1 0d684480d873f1ef data/papers/0d684480d873f1ef.pdf data/papers/0d684480d873f1ef.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hilbert Curve Based Molecular Sequence Analysis arXiv 2024 https://arxiv.org/pdf/2412.20616v1 785cfcf7aa04945b data/papers/785cfcf7aa04945b.pdf data/papers/785cfcf7aa04945b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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c545a6ac287d86d7 data/papers/c545a6ac287d86d7.pdf data/papers/c545a6ac287d86d7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning arXiv 2024 https://arxiv.org/pdf/2501.00586v1 3962af119f797bb5 data/papers/3962af119f797bb5.pdf data/papers/3962af119f797bb5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Approach using CapsNet and Deep Belief Network for Detection and Identification of Oral Leukopenia arXiv 2025 https://arxiv.org/pdf/2501.00876v1 7568c1d038f5cd05 data/papers/7568c1d038f5cd05.pdf data/papers/7568c1d038f5cd05.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer arXiv 2025 https://arxiv.org/pdf/2501.01392v1 cba8b6046a88dc8a data/papers/cba8b6046a88dc8a.pdf data/papers/cba8b6046a88dc8a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Weakly Supervised Learning on Large Graphs arXiv 2025 https://arxiv.org/pdf/2501.02021v2 5a730500a4354166 data/papers/5a730500a4354166.pdf data/papers/5a730500a4354166.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid deep convolution model for lung cancer detection with transfer learning arXiv 2025 https://arxiv.org/pdf/2501.02785v2 570b6e9e527e0958 data/papers/570b6e9e527e0958.pdf data/papers/570b6e9e527e0958.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Salient Region Matching for Fully Automated MR-TRUS Registration arXiv 2025 https://arxiv.org/pdf/2501.03510v1 f3513e622535de34 data/papers/f3513e622535de34.pdf data/papers/f3513e622535de34.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MedFocusCLIP : Improving few shot classification in medical datasets using pixel wise attention arXiv 2025 https://arxiv.org/pdf/2501.03839v1 7072ec05f140eea8 data/papers/7072ec05f140eea8.pdf data/papers/7072ec05f140eea8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images arXiv 2025 https://arxiv.org/pdf/2501.03891v1 b6efe87c14ef00cc data/papers/b6efe87c14ef00cc.pdf data/papers/b6efe87c14ef00cc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A CT Image Classification Network Framework for Lung Tumors Based on Pre-trained MobileNetV2 Model and Transfer learning, And Its Application and Market Analysis in the Medical field arXiv 2025 https://arxiv.org/pdf/2501.04996v1 d0f747fe9e43c1c8 data/papers/d0f747fe9e43c1c8.pdf data/papers/d0f747fe9e43c1c8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics arXiv 2025 https://arxiv.org/pdf/2501.05409v2 34696bd51ed1b489 data/papers/34696bd51ed1b489.pdf data/papers/34696bd51ed1b489.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +From Images to Insights: Transforming Brain Cancer Diagnosis with Explainable AI arXiv 2025 https://arxiv.org/pdf/2501.05426v1 581acd79c402eab0 data/papers/581acd79c402eab0.pdf data/papers/581acd79c402eab0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prediction of Binding Affinity for ErbB Inhibitors Using Deep Neural Network Model with Morgan Fingerprints as Features arXiv 2025 https://arxiv.org/pdf/2501.05607v1 6232b6395690b5b9 data/papers/6232b6395690b5b9.pdf data/papers/6232b6395690b5b9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types arXiv 2025 https://arxiv.org/pdf/2501.05991v1 bac6e2de797f40f9 data/papers/bac6e2de797f40f9.pdf data/papers/bac6e2de797f40f9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +COLOR: A compositional linear operation-based representation of protein sequences for identification of monomer contributions to properties arXiv 2025 https://arxiv.org/pdf/2501.06371v1 dfa4322ecdc1253b data/papers/dfa4322ecdc1253b.pdf data/papers/dfa4322ecdc1253b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Foundational Generative Model for Breast Ultrasound Image Analysis arXiv 2025 https://arxiv.org/pdf/2501.06869v1 9ac61286bf3f7d33 data/papers/9ac61286bf3f7d33.pdf data/papers/9ac61286bf3f7d33.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis arXiv 2025 https://arxiv.org/pdf/2501.06887v1 9729d29ed99ece8e data/papers/9729d29ed99ece8e.pdf data/papers/9729d29ed99ece8e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluating unsupervised contrastive learning framework for MRI sequences classification arXiv 2025 https://arxiv.org/pdf/2501.06938v1 c5fe9a926747096d data/papers/c5fe9a926747096d.pdf data/papers/c5fe9a926747096d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multi-Modal Deep Learning Framework for Pan-Cancer Prognosis arXiv 2025 https://arxiv.org/pdf/2501.07016v1 3680ddf577152481 data/papers/3680ddf577152481.pdf data/papers/3680ddf577152481.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lung Cancer detection using Deep Learning arXiv 2025 https://arxiv.org/pdf/2501.07197v1 525f089bd3ab16ed data/papers/525f089bd3ab16ed.pdf data/papers/525f089bd3ab16ed.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Kolmogorov-Arnold Networks and Evolutionary Game Theory for More Personalized Cancer Treatment arXiv 2025 https://arxiv.org/pdf/2501.07611v1 1b2e629997c7f7bd data/papers/1b2e629997c7f7bd.pdf data/papers/1b2e629997c7f7bd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MD-Syn: Synergistic drug combination prediction based on the multidimensional feature fusion method and attention mechanisms arXiv 2025 https://arxiv.org/pdf/2501.07884v1 fcf510566476d438 data/papers/fcf510566476d438.pdf data/papers/fcf510566476d438.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Guiding the classification of hepatocellular carcinoma on 3D CT-scans using deep and handcrafted radiological features arXiv 2025 https://arxiv.org/pdf/2501.08097v1 e1786613de7a3d69 data/papers/e1786613de7a3d69.pdf data/papers/e1786613de7a3d69.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Training-Aware Risk Control for Intensity Modulated Radiation Therapies Quality Assurance with Conformal Prediction arXiv 2025 https://arxiv.org/pdf/2501.08963v1 d7ef6f3d99a4b3e3 data/papers/d7ef6f3d99a4b3e3.pdf data/papers/d7ef6f3d99a4b3e3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Polyp detection in colonoscopy images using YOLOv11 arXiv 2025 https://arxiv.org/pdf/2501.09051v1 f296a212b079b5f0 data/papers/f296a212b079b5f0.pdf data/papers/f296a212b079b5f0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging arXiv 2025 https://arxiv.org/pdf/2501.09185v2 0fd8d4a0b178781c data/papers/0fd8d4a0b178781c.pdf data/papers/0fd8d4a0b178781c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FECT: Classification of Breast Cancer Pathological Images Based on Fusion Features arXiv 2025 https://arxiv.org/pdf/2501.10128v1 4a2d95bb07186cc9 data/papers/4a2d95bb07186cc9.pdf data/papers/4a2d95bb07186cc9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quantum Annealing for Robust Principal Component Analysis arXiv 2025 https://arxiv.org/pdf/2501.10431v2 a4608ec5af72eb05 data/papers/a4608ec5af72eb05.pdf data/papers/a4608ec5af72eb05.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases arXiv 2025 https://arxiv.org/pdf/2501.11221v1 77bd513a31324a2f data/papers/77bd513a31324a2f.pdf data/papers/77bd513a31324a2f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatially-Delineated Domain-Adapted AI Classification: An Application for Oncology Data arXiv 2025 https://arxiv.org/pdf/2501.11695v2 580941be77f30447 data/papers/580941be77f30447.pdf data/papers/580941be77f30447.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automating High 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""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cinepro: Robust Training of Foundation Models for Cancer Detection in Prostate Ultrasound Cineloops arXiv 2025 https://arxiv.org/pdf/2501.12331v1 b7e1f717b933e1aa data/papers/b7e1f717b933e1aa.pdf data/papers/b7e1f717b933e1aa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comparative Analysis of Hand-Crafted and Machine-Driven Histopathological Features for Prostate Cancer Classification and Segmentation arXiv 2025 https://arxiv.org/pdf/2501.12415v1 bd5a046d2f699679 data/papers/bd5a046d2f699679.pdf data/papers/bd5a046d2f699679.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET arXiv 2025 https://arxiv.org/pdf/2501.12425v1 a9d5a1c3b869fd8a data/papers/a9d5a1c3b869fd8a.pdf data/papers/a9d5a1c3b869fd8a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis arXiv 2025 https://arxiv.org/pdf/2501.13277v1 cbf66bb78cbd65f1 data/papers/cbf66bb78cbd65f1.pdf data/papers/cbf66bb78cbd65f1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs arXiv 2025 https://arxiv.org/pdf/2501.13984v1 a804a0a5ffcb7d56 data/papers/a804a0a5ffcb7d56.pdf data/papers/a804a0a5ffcb7d56.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prior Knowledge Injection into Deep Learning Models Predicting Gene Expression from Whole Slide Images arXiv 2025 https://arxiv.org/pdf/2501.14056v1 8eab6090b9dde8f8 data/papers/8eab6090b9dde8f8.pdf data/papers/8eab6090b9dde8f8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Normalization and selecting non-differentially expressed genes improve machine learning modelling of cross-platform transcriptomic data arXiv 2025 https://arxiv.org/pdf/2501.14248v1 aa3671a2da5d36de data/papers/aa3671a2da5d36de.pdf data/papers/aa3671a2da5d36de.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ECTIL: Label-efficient Computational Tumour Infiltrating Lymphocyte (TIL) assessment in breast cancer: Multicentre validation in 2,340 patients with breast cancer arXiv 2025 https://arxiv.org/pdf/2501.14379v1 6d83a5613cec365f data/papers/6d83a5613cec365f.pdf data/papers/6d83a5613cec365f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Statistical Verification of Linear Classifiers arXiv 2025 https://arxiv.org/pdf/2501.14430v1 7b104c2224a4e64b data/papers/7b104c2224a4e64b.pdf data/papers/7b104c2224a4e64b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid Interpretable Deep Learning Framework for Skin Cancer Diagnosis: Integrating Radial Basis Function Networks with Explainable AI arXiv 2025 https://arxiv.org/pdf/2501.14885v1 c334697e9ba48d7e data/papers/c334697e9ba48d7e.pdf data/papers/c334697e9ba48d7e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images arXiv 2025 https://arxiv.org/pdf/2501.15598v1 4b09eb9ceb2fd5b9 data/papers/4b09eb9ceb2fd5b9.pdf data/papers/4b09eb9ceb2fd5b9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA arXiv 2025 https://arxiv.org/pdf/2501.16525v1 dfff51030adf0bee data/papers/dfff51030adf0bee.pdf data/papers/dfff51030adf0bee.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dynamic Hypergraph Representation for Bone Metastasis Cancer Analysis arXiv 2025 https://arxiv.org/pdf/2501.16787v1 18b065c82a272928 data/papers/18b065c82a272928.pdf data/papers/18b065c82a272928.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Probabilistic Model of Bilateral Lymphatic Spread in Head and Neck Cancer arXiv 2025 https://arxiv.org/pdf/2501.16910v1 4cbd4e36bc02cc29 data/papers/4cbd4e36bc02cc29.pdf data/papers/4cbd4e36bc02cc29.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Current Pathology Foundation Models are unrobust to Medical Center Differences arXiv 2025 https://arxiv.org/pdf/2501.18055v2 f85c8e8b27eae79a data/papers/f85c8e8b27eae79a.pdf data/papers/f85c8e8b27eae79a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate Cancer arXiv 2025 https://arxiv.org/pdf/2501.18109v1 5b49e2a0ee6f0e3e data/papers/5b49e2a0ee6f0e3e.pdf data/papers/5b49e2a0ee6f0e3e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification arXiv 2025 https://arxiv.org/pdf/2501.18161v1 1686e57f7680307f data/papers/1686e57f7680307f.pdf data/papers/1686e57f7680307f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Continually Evolved Multimodal Foundation Models for Cancer Prognosis arXiv 2025 https://arxiv.org/pdf/2501.18170v2 59ee1904130b76da data/papers/59ee1904130b76da.pdf data/papers/59ee1904130b76da.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comprehensive Analysis on Machine Learning based Methods for Lung Cancer Level Classification arXiv 2025 https://arxiv.org/pdf/2501.18294v1 f9fa565397dccec9 data/papers/f9fa565397dccec9.pdf data/papers/f9fa565397dccec9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers arXiv 2025 https://arxiv.org/pdf/2501.19048v1 864b7ce876eedca8 data/papers/864b7ce876eedca8.pdf data/papers/864b7ce876eedca8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Augmented Intelligence for Multimodal Virtual Biopsy in Breast Cancer Using Generative Artificial Intelligence arXiv 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""readme"": NaN, ""license"": NaN}" {} +Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions arXiv 2025 https://arxiv.org/pdf/2502.00568v3 bf18122559ec9b39 data/papers/bf18122559ec9b39.pdf data/papers/bf18122559ec9b39.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin arXiv 2025 https://arxiv.org/pdf/2502.00694v1 9bcecc73ffc96221 data/papers/9bcecc73ffc96221.pdf data/papers/9bcecc73ffc96221.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features arXiv 2025 https://arxiv.org/pdf/2502.01661v4 e7b988f0a8d4ab4e data/papers/e7b988f0a8d4ab4e.pdf data/papers/e7b988f0a8d4ab4e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Variance-Adjusted Cosine Distance as Similarity Metric arXiv 2025 https://arxiv.org/pdf/2502.02233v1 55190b9d7bbaa812 data/papers/55190b9d7bbaa812.pdf data/papers/55190b9d7bbaa812.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Style transfer as data augmentation: evaluating unpaired image-to-image translation models in mammography arXiv 2025 https://arxiv.org/pdf/2502.02475v1 33aa950714e77fb3 data/papers/33aa950714e77fb3.pdf data/papers/33aa950714e77fb3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data arXiv 2025 https://arxiv.org/pdf/2502.02629v1 a4f103200950cd60 data/papers/a4f103200950cd60.pdf data/papers/a4f103200950cd60.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images arXiv 2025 https://arxiv.org/pdf/2502.02756v1 27f7de408e988268 data/papers/27f7de408e988268.pdf data/papers/27f7de408e988268.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Beam's Eye View to Fluence Maps 3D Network for Ultra Fast VMAT Radiotherapy Planning arXiv 2025 https://arxiv.org/pdf/2502.03360v1 9f954a26ab80e60e data/papers/9f954a26ab80e60e.pdf data/papers/9f954a26ab80e60e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free arXiv 2025 https://arxiv.org/pdf/2502.03687v1 50442d47c7b0cf45 data/papers/50442d47c7b0cf45.pdf data/papers/50442d47c7b0cf45.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Brain Tumor Identification using Improved YOLOv8 arXiv 2025 https://arxiv.org/pdf/2502.03746v2 42b791b83678d78a data/papers/42b791b83678d78a.pdf data/papers/42b791b83678d78a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Retrospective Systematic Study on Hierarchical Sparse Query Transformer-assisted Ultrasound Screening for Early Hepatocellular Carcinoma arXiv 2025 https://arxiv.org/pdf/2502.03772v2 f55a84d89e4c163e data/papers/f55a84d89e4c163e.pdf data/papers/f55a84d89e4c163e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Fourier Asymmetric Attention on Domain Generalization for Pan-Cancer Drug Response Prediction arXiv 2025 https://arxiv.org/pdf/2502.04034v2 0f7014342fc9397e data/papers/0f7014342fc9397e.pdf data/papers/0f7014342fc9397e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic quantification of breast cancer biomarkers from multiple 18F-FDG PET image segmentation arXiv 2025 https://arxiv.org/pdf/2502.04083v1 bd5c7abbb9fa6c0f data/papers/bd5c7abbb9fa6c0f.pdf data/papers/bd5c7abbb9fa6c0f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transforming Multimodal Models into Action Models for Radiotherapy arXiv 2025 https://arxiv.org/pdf/2502.04408v1 f991894fcee5db05 data/papers/f991894fcee5db05.pdf data/papers/f991894fcee5db05.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LUND-PROBE -- LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset arXiv 2025 https://arxiv.org/pdf/2502.04493v2 f2d214ca151c7204 data/papers/f2d214ca151c7204.pdf data/papers/f2d214ca151c7204.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges arXiv 2025 https://arxiv.org/pdf/2502.04748v1 6856c78c89de0207 data/papers/6856c78c89de0207.pdf data/papers/6856c78c89de0207.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SurGen: 1020 H&E-stained Whole Slide Images With Survival and Genetic Markers arXiv 2025 https://arxiv.org/pdf/2502.04946v1 bc7fbb1fb3fb680a data/papers/bc7fbb1fb3fb680a.pdf data/papers/bc7fbb1fb3fb680a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis arXiv 2025 https://arxiv.org/pdf/2502.05713v1 2a30a9308c3fb91a data/papers/2a30a9308c3fb91a.pdf data/papers/2a30a9308c3fb91a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis arXiv 2025 https://arxiv.org/pdf/2502.06173v1 e33f94cf3a7c6460 data/papers/e33f94cf3a7c6460.pdf data/papers/e33f94cf3a7c6460.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach arXiv 2025 https://arxiv.org/pdf/2502.06800v1 c0fcadc9497633d4 data/papers/c0fcadc9497633d4.pdf data/papers/c0fcadc9497633d4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization arXiv 2025 https://arxiv.org/pdf/2502.07237v1 65eadad5bc9931e1 data/papers/65eadad5bc9931e1.pdf data/papers/65eadad5bc9931e1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data arXiv 2025 https://arxiv.org/pdf/2502.07836v2 bd782953ed61ddec data/papers/bd782953ed61ddec.pdf data/papers/bd782953ed61ddec.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automatic Prostate Volume Estimation in Transabdominal Ultrasound Images arXiv 2025 https://arxiv.org/pdf/2502.07859v1 e551fc6c01f3e1a9 data/papers/e551fc6c01f3e1a9.pdf data/papers/e551fc6c01f3e1a9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Joint Modelling Histology and Molecular Markers for Cancer Classification arXiv 2025 https://arxiv.org/pdf/2502.07979v1 651bb9950bdd6abb data/papers/651bb9950bdd6abb.pdf data/papers/651bb9950bdd6abb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Treatment response as a latent variable arXiv 2025 https://arxiv.org/pdf/2502.08776v1 bce4a2f0411e9646 data/papers/bce4a2f0411e9646.pdf data/papers/bce4a2f0411e9646.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Chronic Diseases Prediction Using ML arXiv 2025 https://arxiv.org/pdf/2502.10481v1 11a809840355cd1d data/papers/11a809840355cd1d.pdf data/papers/11a809840355cd1d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detecting and Monitoring Bias for Subgroups in Breast Cancer Detection AI arXiv 2025 https://arxiv.org/pdf/2502.10562v1 141b8b2dffd00a9f data/papers/141b8b2dffd00a9f.pdf data/papers/141b8b2dffd00a9f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breaking Down the Hierarchy: A New Approach to Leukemia Classification arXiv 2025 https://arxiv.org/pdf/2502.10899v1 8ee1c8ba634117a1 data/papers/8ee1c8ba634117a1.pdf data/papers/8ee1c8ba634117a1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Differentially private fine-tuned NF-Net to predict GI cancer type arXiv 2025 https://arxiv.org/pdf/2502.11329v1 4144d75726b9646e data/papers/4144d75726b9646e.pdf data/papers/4144d75726b9646e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging large language models for structured information extraction from pathology reports arXiv 2025 https://arxiv.org/pdf/2502.12183v1 4e34511ee54d9323 data/papers/4e34511ee54d9323.pdf data/papers/4e34511ee54d9323.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A deep learning framework for efficient pathology image analysis arXiv 2025 https://arxiv.org/pdf/2502.13027v1 a7deedf3b4842adb data/papers/a7deedf3b4842adb.pdf data/papers/a7deedf3b4842adb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging arXiv 2025 https://arxiv.org/pdf/2502.14064v2 d7ca4c45480f2fa8 data/papers/d7ca4c45480f2fa8.pdf data/papers/d7ca4c45480f2fa8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TRUSWorthy: Toward Clinically Applicable Deep Learning for Confident Detection of Prostate Cancer in Micro-Ultrasound arXiv 2025 https://arxiv.org/pdf/2502.14707v1 d9a9fd5c89ed6bd0 data/papers/d9a9fd5c89ed6bd0.pdf data/papers/d9a9fd5c89ed6bd0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Distributed U-net model and Image Segmentation for Lung Cancer Detection arXiv 2025 https://arxiv.org/pdf/2502.14928v1 7ea4f3bc5f573b2d data/papers/7ea4f3bc5f573b2d.pdf data/papers/7ea4f3bc5f573b2d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pseudoinverse Diffusion Models for Generative CT Image Reconstruction from Low Dose Data arXiv 2025 https://arxiv.org/pdf/2502.15064v1 b553d3e3b3159e56 data/papers/b553d3e3b3159e56.pdf data/papers/b553d3e3b3159e56.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting gene essentiality and drug response from perturbation screens in preclinical cancer models with LEAP: Layered Ensemble of Autoencoders and Predictors arXiv 2025 https://arxiv.org/pdf/2502.15646v1 d35ca5a1df887cab data/papers/d35ca5a1df887cab.pdf data/papers/d35ca5a1df887cab.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Lump Detection and Localization with a Tactile Glove Using Deep Learning arXiv 2025 https://arxiv.org/pdf/2502.15767v1 0e113da3ee4d0c9a data/papers/0e113da3ee4d0c9a.pdf data/papers/0e113da3ee4d0c9a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Utilizing AI and Machine Learning for Predictive Analysis of Post-Treatment Cancer Recurrence arXiv 2025 https://arxiv.org/pdf/2502.15825v1 59a9541bccfe4d55 data/papers/59a9541bccfe4d55.pdf data/papers/59a9541bccfe4d55.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MedForge: Building Medical Foundation Models Like Open Source Software Development arXiv 2025 https://arxiv.org/pdf/2502.16055v1 77ff44ec367fcb41 data/papers/77ff44ec367fcb41.pdf data/papers/77ff44ec367fcb41.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Tool or Tutor? Experimental evidence from AI deployment in cancer diagnosis arXiv 2025 https://arxiv.org/pdf/2502.16411v3 94a8cd651ece7a88 data/papers/94a8cd651ece7a88.pdf data/papers/94a8cd651ece7a88.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GS-TransUNet: Integrated 2D Gaussian Splatting and Transformer UNet for Accurate Skin Lesion Analysis arXiv 2025 https://arxiv.org/pdf/2502.16748v1 f70b1faf9c6a7e38 data/papers/f70b1faf9c6a7e38.pdf data/papers/f70b1faf9c6a7e38.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Doctor-in-the-Loop: An Explainable, Multi-View Deep Learning Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer arXiv 2025 https://arxiv.org/pdf/2502.17503v1 e358c725cbf4a5f4 data/papers/e358c725cbf4a5f4.pdf data/papers/e358c725cbf4a5f4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Requirements for Quality Assurance of AI Models for Early Detection of Lung Cancer arXiv 2025 https://arxiv.org/pdf/2502.17639v1 dfe1f3cbedb0c7a7 data/papers/dfe1f3cbedb0c7a7.pdf data/papers/dfe1f3cbedb0c7a7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integrating Boosted learning with Differential Evolution (DE) Optimizer: A Prediction of Groundwater Quality Risk Assessment in Odisha arXiv 2025 https://arxiv.org/pdf/2502.17929v1 68be21e567653134 data/papers/68be21e567653134.pdf data/papers/68be21e567653134.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robust Polyp Detection and Diagnosis through Compositional Prompt-Guided Diffusion Models arXiv 2025 https://arxiv.org/pdf/2502.17951v1 3dee636f3a32dbe1 data/papers/3dee636f3a32dbe1.pdf data/papers/3dee636f3a32dbe1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Liver Cirrhosis Stage Estimation from MRI with Deep Learning arXiv 2025 https://arxiv.org/pdf/2502.18225v3 4c1be869321ecbd4 data/papers/4c1be869321ecbd4.pdf data/papers/4c1be869321ecbd4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Reverse Mamba Attention Network for Pathological Liver Segmentation arXiv 2025 https://arxiv.org/pdf/2502.18232v2 3464a944b0f76c57 data/papers/3464a944b0f76c57.pdf data/papers/3464a944b0f76c57.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification arXiv 2025 https://arxiv.org/pdf/2502.18506v1 551e5a244facb6d9 data/papers/551e5a244facb6d9.pdf data/papers/551e5a244facb6d9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +bayesNMF: Fast Bayesian Poisson NMF with Automatically Learned Rank Applied to Mutational Signatures arXiv 2025 https://arxiv.org/pdf/2502.18674v1 041770e75526a582 data/papers/041770e75526a582.pdf data/papers/041770e75526a582.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning-Based Approach for Automatic 2D and 3D MRI Segmentation of Gliomas arXiv 2025 https://arxiv.org/pdf/2502.19760v1 b53d1ecb1342ff10 data/papers/b53d1ecb1342ff10.pdf data/papers/b53d1ecb1342ff10.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive H&E-IHC information fusion staining framework based on feature extra arXiv 2025 https://arxiv.org/pdf/2502.20156v1 294b6939bdcf401e data/papers/294b6939bdcf401e.pdf data/papers/294b6939bdcf401e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Integrated Deep Learning Framework Leveraging NASNet and Vision Transformer with MixProcessing for Accurate and Precise Diagnosis of Lung Diseases arXiv 2025 https://arxiv.org/pdf/2502.20570v1 a9201ffbe8e3c292 data/papers/a9201ffbe8e3c292.pdf data/papers/a9201ffbe8e3c292.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Can We Simplify Slide-level Fine-tuning of Pathology Foundation Models? arXiv 2025 https://arxiv.org/pdf/2502.20823v1 7d469786eb449112 data/papers/7d469786eb449112.pdf data/papers/7d469786eb449112.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +"No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology images arXiv 2025 https://arxiv.org/pdf/2502.21109v1 a5fa2d1b3ca4727d data/papers/a5fa2d1b3ca4727d.pdf data/papers/a5fa2d1b3ca4727d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Foundation Models -- A Panacea for Artificial Intelligence in Pathology? arXiv 2025 https://arxiv.org/pdf/2502.21264v2 d93e18061820a2a4 data/papers/d93e18061820a2a4.pdf data/papers/d93e18061820a2a4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Genetics-Driven Personalized Disease Progression Model arXiv 2025 https://arxiv.org/pdf/2503.00028v1 fc7a3f0cb5a6ee6b data/papers/fc7a3f0cb5a6ee6b.pdf data/papers/fc7a3f0cb5a6ee6b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention arXiv 2025 https://arxiv.org/pdf/2503.00374v2 bb86fcca8c9eff23 data/papers/bb86fcca8c9eff23.pdf data/papers/bb86fcca8c9eff23.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Development of an Unpaired Deep Neural Network for Synthesizing X-ray Fluoroscopic Images from Digitally Reconstructed Tomography in Image Guided Radiotherapy arXiv 2025 https://arxiv.org/pdf/2503.00665v1 31e0d02a781e8835 data/papers/31e0d02a781e8835.pdf data/papers/31e0d02a781e8835.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Efficient Approach to Detecting Lung Nodules Using Swin Transformer arXiv 2025 https://arxiv.org/pdf/2503.01592v1 0fecfe34ef646a84 data/papers/0fecfe34ef646a84.pdf data/papers/0fecfe34ef646a84.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning surrogate equations for the analysis of an agent-based cancer model arXiv 2025 https://arxiv.org/pdf/2503.01718v2 a53f1275521ad960 data/papers/a53f1275521ad960.pdf data/papers/a53f1275521ad960.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal AI predicts clinical outcomes of drug combinations from preclinical data arXiv 2025 https://arxiv.org/pdf/2503.02781v1 5b74d0205eeef450 data/papers/5b74d0205eeef450.pdf data/papers/5b74d0205eeef450.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Developing a PET/CT Foundation Model for Cross-Modal Anatomical and Functional Imaging arXiv 2025 https://arxiv.org/pdf/2503.02824v1 5344998d0b4830a6 data/papers/5344998d0b4830a6.pdf data/papers/5344998d0b4830a6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal Deep Learning for Subtype Classification in Breast Cancer Using Histopathological Images and Gene Expression Data arXiv 2025 https://arxiv.org/pdf/2503.02849v1 680c419c3df22cbc data/papers/680c419c3df22cbc.pdf data/papers/680c419c3df22cbc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ILLC: Iterative Layer-by-Layer Compression for Enhancing Structural Faithfulness in SpArX arXiv 2025 https://arxiv.org/pdf/2503.03693v1 68a42d6ea5444e06 data/papers/68a42d6ea5444e06.pdf data/papers/68a42d6ea5444e06.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning arXiv 2025 https://arxiv.org/pdf/2503.03786v2 61dd9d08f8b7b695 data/papers/61dd9d08f8b7b695.pdf data/papers/61dd9d08f8b7b695.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +RiskAgent: Autonomous Medical AI Copilot for Generalist Risk Prediction arXiv 2025 https://arxiv.org/pdf/2503.03802v1 cb247fe9f5ce2db2 data/papers/cb247fe9f5ce2db2.pdf data/papers/cb247fe9f5ce2db2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Machine Learning Enhanced Calculation of Quantum-Classical Binding Free Energies arXiv 2025 https://arxiv.org/pdf/2503.03955v1 ee37a60ba3b01037 data/papers/ee37a60ba3b01037.pdf data/papers/ee37a60ba3b01037.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Prototype Learning for Multimodal Cancer Survival Analysis arXiv 2025 https://arxiv.org/pdf/2503.04643v1 2ff2da9a4231e1b1 data/papers/2ff2da9a4231e1b1.pdf data/papers/2ff2da9a4231e1b1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatial Context-Driven Positive Pair Sampling for Enhanced Histopathology Image Classification arXiv 2025 https://arxiv.org/pdf/2503.05170v1 82e6972270db602b data/papers/82e6972270db602b.pdf data/papers/82e6972270db602b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Supervised Learning for Dose Prediction in Targeted Radionuclide: A Synthetic Data Study arXiv 2025 https://arxiv.org/pdf/2503.05367v1 8cb398bea9d1430e data/papers/8cb398bea9d1430e.pdf data/papers/8cb398bea9d1430e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification arXiv 2025 https://arxiv.org/pdf/2503.06056v2 0769b69ccfcf19b8 data/papers/0769b69ccfcf19b8.pdf data/papers/0769b69ccfcf19b8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization arXiv 2025 https://arxiv.org/pdf/2503.06482v1 22151df3799f66a5 data/papers/22151df3799f66a5.pdf data/papers/22151df3799f66a5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal AI-driven Biomarker for Early Detection of Cancer Cachexia arXiv 2025 https://arxiv.org/pdf/2503.06797v1 b34586d1e50badbe data/papers/b34586d1e50badbe.pdf data/papers/b34586d1e50badbe.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +When Selection Meets Intervention: Additional Complexities in Causal Discovery arXiv 2025 https://arxiv.org/pdf/2503.07302v1 d847f611f7167126 data/papers/d847f611f7167126.pdf data/papers/d847f611f7167126.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview arXiv 2025 https://arxiv.org/pdf/2503.08420v1 4e2ebc8801ed8413 data/papers/4e2ebc8801ed8413.pdf data/papers/4e2ebc8801ed8413.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Transformer-based survival model for prediction of all-cause mortality in heart failure patients: a multi-cohort study arXiv 2025 https://arxiv.org/pdf/2503.12317v1 10fdb5be72314aec data/papers/10fdb5be72314aec.pdf data/papers/10fdb5be72314aec.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cohort-attention Evaluation Metric against Tied Data: Studying Performance of Classification Models in Cancer Detection arXiv 2025 https://arxiv.org/pdf/2503.12755v1 c2c820ec9c9d5164 data/papers/c2c820ec9c9d5164.pdf data/papers/c2c820ec9c9d5164.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Adaptive Deep Learning for Multiclass Breast Cancer Classification via Misprediction Risk Analysis arXiv 2025 https://arxiv.org/pdf/2503.12778v1 0e42806f2b4a3fdf data/papers/0e42806f2b4a3fdf.pdf data/papers/0e42806f2b4a3fdf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MMLNB: Multi-Modal Learning for Neuroblastoma Subtyping Classification Assisted with Textual Description Generation arXiv 2025 https://arxiv.org/pdf/2503.12927v2 8de6ab1d5aab8a0b data/papers/8de6ab1d5aab8a0b.pdf data/papers/8de6ab1d5aab8a0b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bayesian Cox model with graph-structured variable selection priors for multi-omics biomarker identification arXiv 2025 https://arxiv.org/pdf/2503.13078v1 99d8c91de50becf0 data/papers/99d8c91de50becf0.pdf data/papers/99d8c91de50becf0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integrating AI for Human-Centric Breast Cancer Diagnostics: A Multi-Scale and Multi-View Swin Transformer Framework arXiv 2025 https://arxiv.org/pdf/2503.13309v2 bc9d664cf93b0a97 data/papers/bc9d664cf93b0a97.pdf data/papers/bc9d664cf93b0a97.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AI-driven control of bioelectric signalling for real-time topological reorganization of cells arXiv 2025 https://arxiv.org/pdf/2503.13489v2 bc85e212e96e191e data/papers/bc85e212e96e191e.pdf data/papers/bc85e212e96e191e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset arXiv 2025 https://arxiv.org/pdf/2503.13560v1 d559f12b5be17c20 data/papers/d559f12b5be17c20.pdf data/papers/d559f12b5be17c20.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SMILE: a Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis arXiv 2025 https://arxiv.org/pdf/2503.13799v1 8fadc418dfa5945a data/papers/8fadc418dfa5945a.pdf data/papers/8fadc418dfa5945a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BI-RADS prediction of mammographic masses using uncertainty information extracted from a Bayesian Deep Learning model arXiv 2025 https://arxiv.org/pdf/2503.13999v2 02707baaa8989da4 data/papers/02707baaa8989da4.pdf data/papers/02707baaa8989da4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts arXiv 2025 https://arxiv.org/pdf/2503.14355v1 137d680d374c02c6 data/papers/137d680d374c02c6.pdf data/papers/137d680d374c02c6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis arXiv 2025 https://arxiv.org/pdf/2503.14356v1 a4dafe9e56b3211e data/papers/a4dafe9e56b3211e.pdf data/papers/a4dafe9e56b3211e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Language Vision Model Approach for Automated Tumor Contouring in Radiation Oncology arXiv 2025 https://arxiv.org/pdf/2503.14933v1 78c642e46a51439d data/papers/78c642e46a51439d.pdf data/papers/78c642e46a51439d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection arXiv 2025 https://arxiv.org/pdf/2503.15008v1 cdb2f69902f16143 data/papers/cdb2f69902f16143.pdf data/papers/cdb2f69902f16143.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +FedSAF: A Federated Learning Framework for Enhanced Gastric Cancer Detection and Privacy Preservation arXiv 2025 https://arxiv.org/pdf/2503.15870v1 460213d286e18670 data/papers/460213d286e18670.pdf data/papers/460213d286e18670.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction arXiv 2025 https://arxiv.org/pdf/2503.16069v2 d4b142f44cc64d5f data/papers/d4b142f44cc64d5f.pdf data/papers/d4b142f44cc64d5f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reliable Radiologic Skeletal Muscle Area Assessment -- A Biomarker for Cancer Cachexia Diagnosis arXiv 2025 https://arxiv.org/pdf/2503.16556v1 ae5e8617e8123208 data/papers/ae5e8617e8123208.pdf data/papers/ae5e8617e8123208.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comparative Analysis of Image Descriptors for Histopathological Classification of Gastric Cancer arXiv 2025 https://arxiv.org/pdf/2503.17105v1 5e80fcfe99a08575 data/papers/5e80fcfe99a08575.pdf data/papers/5e80fcfe99a08575.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images arXiv 2025 https://arxiv.org/pdf/2503.17261v1 fab3b96ed74d028f data/papers/fab3b96ed74d028f.pdf data/papers/fab3b96ed74d028f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent arXiv 2025 https://arxiv.org/pdf/2503.17553v1 ea665c9b7eb2f656 data/papers/ea665c9b7eb2f656.pdf data/papers/ea665c9b7eb2f656.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology arXiv 2025 https://arxiv.org/pdf/2503.17564v1 088965d93d42389e data/papers/088965d93d42389e.pdf data/papers/088965d93d42389e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Imaging Intravoxel Vessel Size Distribution in the Brain Using Susceptibility Contrast Enhanced MRI arXiv 2025 https://arxiv.org/pdf/2503.17600v2 2249ad48f60d93cd data/papers/2249ad48f60d93cd.pdf data/papers/2249ad48f60d93cd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images arXiv 2025 https://arxiv.org/pdf/2503.17970v1 d786ee5d164b68a6 data/papers/d786ee5d164b68a6.pdf 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https://arxiv.org/pdf/2503.19117v1 9271097d929b030f data/papers/9271097d929b030f.pdf data/papers/9271097d929b030f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mathematical Models for Self-Adaptive Response to Cancer Dynamics arXiv 2025 https://arxiv.org/pdf/2503.20632v1 8c730624fd570cfb data/papers/8c730624fd570cfb.pdf data/papers/8c730624fd570cfb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +UWarp: A Whole Slide Image Registration Pipeline to Characterize Scanner-Induced Local Domain Shift arXiv 2025 https://arxiv.org/pdf/2503.20653v1 dc5563cea42b61b0 data/papers/dc5563cea42b61b0.pdf data/papers/dc5563cea42b61b0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction arXiv 2025 https://arxiv.org/pdf/2503.20662v1 8c99e04f73fea172 data/papers/8c99e04f73fea172.pdf data/papers/8c99e04f73fea172.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A weakly-supervised deep learning model for fast localisation and delineation of the skeleton, internal organs, and spinal canal on Whole-Body Diffusion-Weighted MRI (WB-DWI) arXiv 2025 https://arxiv.org/pdf/2503.20722v1 566c8afa2e60b72e data/papers/566c8afa2e60b72e.pdf data/papers/566c8afa2e60b72e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining arXiv 2025 https://arxiv.org/pdf/2503.20817v1 2df142aa636f076a data/papers/2df142aa636f076a.pdf data/papers/2df142aa636f076a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DeepRV: pre-trained spatial priors for accelerated disease mapping arXiv 2025 https://arxiv.org/pdf/2503.21473v1 8470741f5eaa0faa data/papers/8470741f5eaa0faa.pdf data/papers/8470741f5eaa0faa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving the generalization of deep learning models in the segmentation of mammography images arXiv 2025 https://arxiv.org/pdf/2503.22052v1 9064a4d8f6523441 data/papers/9064a4d8f6523441.pdf data/papers/9064a4d8f6523441.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Contrasting Low and High-Resolution Features for HER2 Scoring using Deep Learning arXiv 2025 https://arxiv.org/pdf/2503.22069v1 3ab497a584bf9039 data/papers/3ab497a584bf9039.pdf data/papers/3ab497a584bf9039.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluation of a Novel Quantitative Multiparametric MR Sequence for Radiation Therapy Treatment Response Assessment arXiv 2025 https://arxiv.org/pdf/2503.22640v1 b0b9fb16b77167d4 data/papers/b0b9fb16b77167d4.pdf data/papers/b0b9fb16b77167d4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification, An Interpretable Multi-Omics Approach arXiv 2025 https://arxiv.org/pdf/2503.22939v2 b75cf08eab5dceb2 data/papers/b75cf08eab5dceb2.pdf data/papers/b75cf08eab5dceb2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MIL vs. Aggregation: Evaluating Patient-Level Survival Prediction Strategies Using Graph-Based Learning arXiv 2025 https://arxiv.org/pdf/2503.23042v1 3d514b2ef21da7c2 data/papers/3d514b2ef21da7c2.pdf data/papers/3d514b2ef21da7c2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +OncoReg: Medical Image Registration for Oncological Challenges arXiv 2025 https://arxiv.org/pdf/2503.23179v2 2215dcd3874b4c66 data/papers/2215dcd3874b4c66.pdf data/papers/2215dcd3874b4c66.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multi-Stage Auto-Context Deep Learning Framework for Tissue and Nuclei Segmentation and Classification in H&E-Stained Histological Images of Advanced Melanoma arXiv 2025 https://arxiv.org/pdf/2503.23958v1 a25917993de2d5d2 data/papers/a25917993de2d5d2.pdf data/papers/a25917993de2d5d2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis arXiv 2025 https://arxiv.org/pdf/2503.24108v2 a33b4d8e6a5a4d00 data/papers/a33b4d8e6a5a4d00.pdf data/papers/a33b4d8e6a5a4d00.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Targeted Therapy Resistance in Non-Small Cell Lung Cancer Using Multimodal Machine Learning arXiv 2025 https://arxiv.org/pdf/2503.24165v1 57d99a66fc3e63bb data/papers/57d99a66fc3e63bb.pdf data/papers/57d99a66fc3e63bb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks arXiv 2025 https://arxiv.org/pdf/2503.24345v1 274c3cdbe3fbb87e data/papers/274c3cdbe3fbb87e.pdf data/papers/274c3cdbe3fbb87e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Diffusion models applied to skin and oral cancer classification arXiv 2025 https://arxiv.org/pdf/2504.00026v1 8a7babbe0e627d9b data/papers/8a7babbe0e627d9b.pdf data/papers/8a7babbe0e627d9b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Opportunistic Screening for Pancreatic Cancer using Computed Tomography Imaging and Radiology Reports arXiv 2025 https://arxiv.org/pdf/2504.00232v1 074fe4fb5f48b156 data/papers/074fe4fb5f48b156.pdf data/papers/074fe4fb5f48b156.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SCFANet: Style Distribution Constraint Feature Alignment Network For Pathological Staining Translation arXiv 2025 https://arxiv.org/pdf/2504.00490v1 04fb2807f6392b04 data/papers/04fb2807f6392b04.pdf data/papers/04fb2807f6392b04.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Global explainability of a deep abstaining classifier arXiv 2025 https://arxiv.org/pdf/2504.01202v1 a890a004dd26d3f6 data/papers/a890a004dd26d3f6.pdf data/papers/a890a004dd26d3f6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models arXiv 2025 https://arxiv.org/pdf/2504.01452v1 c466c4ff2ba25cce data/papers/c466c4ff2ba25cce.pdf data/papers/c466c4ff2ba25cce.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset arXiv 2025 https://arxiv.org/pdf/2504.02602v1 bab1da9a4d227897 data/papers/bab1da9a4d227897.pdf data/papers/bab1da9a4d227897.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions arXiv 2025 https://arxiv.org/pdf/2504.02698v3 60e14bf796d45e1d data/papers/60e14bf796d45e1d.pdf data/papers/60e14bf796d45e1d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts arXiv 2025 https://arxiv.org/pdf/2504.03733v1 6c5f597191a502e8 data/papers/6c5f597191a502e8.pdf data/papers/6c5f597191a502e8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Survey of Pathology Foundation Model: Progress and Future Directions arXiv 2025 https://arxiv.org/pdf/2504.04045v2 d474c2b380323197 data/papers/d474c2b380323197.pdf data/papers/d474c2b380323197.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Scaling Federated Learning Solutions with Kubernetes for Synthesizing Histopathology Images arXiv 2025 https://arxiv.org/pdf/2504.04130v1 a95b5f376c4de550 data/papers/a95b5f376c4de550.pdf data/papers/a95b5f376c4de550.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Novel Cholesky Kernel based Support Vector Classifier arXiv 2025 https://arxiv.org/pdf/2504.04371v1 5b46390c529d6ac6 data/papers/5b46390c529d6ac6.pdf data/papers/5b46390c529d6ac6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vision Transformers with Autoencoders and Explainable AI for Cancer Patient Risk Stratification Using Whole Slide Imaging arXiv 2025 https://arxiv.org/pdf/2504.04749v2 6ab607a58ecf04c1 data/papers/6ab607a58ecf04c1.pdf data/papers/6ab607a58ecf04c1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An ensemble deep learning approach to detect tumors on Mohs micrographic surgery slides arXiv 2025 https://arxiv.org/pdf/2504.05219v1 49cd27e4f4133c83 data/papers/49cd27e4f4133c83.pdf data/papers/49cd27e4f4133c83.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GraphPINE: Graph Importance Propagation for Interpretable Drug Response Prediction arXiv 2025 https://arxiv.org/pdf/2504.05454v1 d334c3503ac05b91 data/papers/d334c3503ac05b91.pdf data/papers/d334c3503ac05b91.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study arXiv 2025 https://arxiv.org/pdf/2504.05636v2 c247b72e56f275c1 data/papers/c247b72e56f275c1.pdf data/papers/c247b72e56f275c1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Survivability of Cancer Patients with Metastatic Patterns Using Explainable AI arXiv 2025 https://arxiv.org/pdf/2504.06306v1 7cd49f9186d56a55 data/papers/7cd49f9186d56a55.pdf data/papers/7cd49f9186d56a55.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid CNN with Chebyshev Polynomial Expansion for Medical Image Analysis arXiv 2025 https://arxiv.org/pdf/2504.06811v1 683a380d7d829804 data/papers/683a380d7d829804.pdf data/papers/683a380d7d829804.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology arXiv 2025 https://arxiv.org/pdf/2504.06957v1 5c995649b8c8c103 data/papers/5c995649b8c8c103.pdf data/papers/5c995649b8c8c103.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dual Deep Learning Approach for Non-invasive Renal Tumour Subtyping with VERDICT-MRI arXiv 2025 https://arxiv.org/pdf/2504.07246v2 118973498ecf1b29 data/papers/118973498ecf1b29.pdf data/papers/118973498ecf1b29.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Identifying regions of interest in whole slide images of renal cell carcinoma arXiv 2025 https://arxiv.org/pdf/2504.07313v1 e9af9ede34c494d2 data/papers/e9af9ede34c494d2.pdf data/papers/e9af9ede34c494d2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Application of machine learning models to predict the relationship between air pollution, ecosystem degradation, and health disparities and lung cancer in Vietnam arXiv 2025 https://arxiv.org/pdf/2504.08651v1 d6a46199308adc86 data/papers/d6a46199308adc86.pdf data/papers/d6a46199308adc86.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ColonScopeX: Leveraging Explainable Expert Systems with Multimodal Data for Improved Early Diagnosis of Colorectal Cancer arXiv 2025 https://arxiv.org/pdf/2504.08824v1 547e0cfd98428006 data/papers/547e0cfd98428006.pdf data/papers/547e0cfd98428006.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dose-finding design based on level set estimation in phase I cancer clinical trials arXiv 2025 https://arxiv.org/pdf/2504.09157v1 87517f4c6f5e9b64 data/papers/87517f4c6f5e9b64.pdf data/papers/87517f4c6f5e9b64.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transformer-Based Representation Learning for Robust Gene Expression Modeling and Cancer Prognosis arXiv 2025 https://arxiv.org/pdf/2504.09704v1 ad90a870f279f1af data/papers/ad90a870f279f1af.pdf data/papers/ad90a870f279f1af.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Domain-Adversarial Neural Network and Explainable AI for Reducing Tissue-of-Origin Signal in Pan-cancer Mortality Classification arXiv 2025 https://arxiv.org/pdf/2504.10343v1 433a2f1ea80c05bb data/papers/433a2f1ea80c05bb.pdf data/papers/433a2f1ea80c05bb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks arXiv 2025 https://arxiv.org/pdf/2504.11307v1 d22f1d4c3304a5aa data/papers/d22f1d4c3304a5aa.pdf data/papers/d22f1d4c3304a5aa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Robustness and sex differences in skin cancer detection: logistic regression vs CNNs arXiv 2025 https://arxiv.org/pdf/2504.11415v1 697c36c0b039eca5 data/papers/697c36c0b039eca5.pdf data/papers/697c36c0b039eca5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +TransST: Transfer Learning Embedded Spatial Factor Modeling of Spatial Transcriptomics Data arXiv 2025 https://arxiv.org/pdf/2504.12353v1 4472bd18b8275b0d data/papers/4472bd18b8275b0d.pdf data/papers/4472bd18b8275b0d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection arXiv 2025 https://arxiv.org/pdf/2504.13186v1 88b968f490e0acc4 data/papers/88b968f490e0acc4.pdf data/papers/88b968f490e0acc4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CytoFM: The first cytology foundation model arXiv 2025 https://arxiv.org/pdf/2504.13402v1 4dfcd72b5771b824 data/papers/4dfcd72b5771b824.pdf data/papers/4dfcd72b5771b824.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis arXiv 2025 https://arxiv.org/pdf/2504.13645v1 1b402efbd4ced40d data/papers/1b402efbd4ced40d.pdf data/papers/1b402efbd4ced40d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Association between nutritional factors, inflammatory biomarkers and cancer types: an analysis of NHANES data using machine learning arXiv 2025 https://arxiv.org/pdf/2504.13978v1 fc2be7a27dafb4c9 data/papers/fc2be7a27dafb4c9.pdf data/papers/fc2be7a27dafb4c9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Dose optimization design accounting for unknown patient heterogeneity in cancer clinical trials arXiv 2025 https://arxiv.org/pdf/2504.14622v1 21741fd39005f34d data/papers/21741fd39005f34d.pdf data/papers/21741fd39005f34d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Leveraging Language Models for Automated Patient Record Linkage arXiv 2025 https://arxiv.org/pdf/2504.15261v1 69b3c64da6916874 data/papers/69b3c64da6916874.pdf data/papers/69b3c64da6916874.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Universal differential equations for optimal control problems and its application on cancer therapy arXiv 2025 https://arxiv.org/pdf/2504.16035v1 119f77669cf4a43d data/papers/119f77669cf4a43d.pdf data/papers/119f77669cf4a43d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CLIP-IT: CLIP-based Pairing for Histology Images Classification arXiv 2025 https://arxiv.org/pdf/2504.16181v2 189c2ae69aacfbd4 data/papers/189c2ae69aacfbd4.pdf data/papers/189c2ae69aacfbd4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology arXiv 2025 https://arxiv.org/pdf/2504.16732v1 f5842b5ae24e9d4f data/papers/f5842b5ae24e9d4f.pdf data/papers/f5842b5ae24e9d4f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Multi-modal Breast Cancer Detection Network arXiv 2025 https://arxiv.org/pdf/2504.16954v1 a1bc75a09d78521c data/papers/a1bc75a09d78521c.pdf data/papers/a1bc75a09d78521c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline arXiv 2025 https://arxiv.org/pdf/2504.16979v2 4c0b38d351627e55 data/papers/4c0b38d351627e55.pdf data/papers/4c0b38d351627e55.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Spatially-Aware Multiple Instance Learning Framework for Digital Pathology arXiv 2025 https://arxiv.org/pdf/2504.17379v2 89104f4cf4d2bc47 data/papers/89104f4cf4d2bc47.pdf data/papers/89104f4cf4d2bc47.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss arXiv 2025 https://arxiv.org/pdf/2504.17813v1 441ee4897c52e346 data/papers/441ee4897c52e346.pdf data/papers/441ee4897c52e346.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quantum machine learning framework for longitudinal biomedical studies arXiv 2025 https://arxiv.org/pdf/2504.18392v1 95a68f402a9e3587 data/papers/95a68f402a9e3587.pdf data/papers/95a68f402a9e3587.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Photon Absorption Remote Sensing Virtual Histopathology: Diagnostic Equivalence to Gold-Standard H&E Staining in Skin Cancer Excisional Biopsies arXiv 2025 https://arxiv.org/pdf/2504.18737v1 b878448a406ffdbb data/papers/b878448a406ffdbb.pdf data/papers/b878448a406ffdbb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Theoretical Framework for Tempered Fractional Gradient Descent: Application to Breast Cancer Classification arXiv 2025 https://arxiv.org/pdf/2504.18849v1 457248ce70188e59 data/papers/457248ce70188e59.pdf data/papers/457248ce70188e59.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis arXiv 2025 https://arxiv.org/pdf/2504.19357v1 90a9b4e91325d019 data/papers/90a9b4e91325d019.pdf data/papers/90a9b4e91325d019.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network arXiv 2025 https://arxiv.org/pdf/2504.19888v1 5e52c49f9052e73e data/papers/5e52c49f9052e73e.pdf data/papers/5e52c49f9052e73e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Detection from Multi-View Screening Mammograms with Visual Prompt Tuning arXiv 2025 https://arxiv.org/pdf/2504.19900v1 6f4a8c034eff5c28 data/papers/6f4a8c034eff5c28.pdf data/papers/6f4a8c034eff5c28.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images arXiv 2025 https://arxiv.org/pdf/2504.20033v1 0739fda26095b5b2 data/papers/0739fda26095b5b2.pdf data/papers/0739fda26095b5b2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Large-scale artificial intelligence with 41 million nanophotonic neurons on a metasurface arXiv 2025 https://arxiv.org/pdf/2504.20416v1 edd2f7135c917da2 data/papers/edd2f7135c917da2.pdf data/papers/edd2f7135c917da2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Small or Large? Zero-Shot or Finetuned? Guiding Language Model Choice for Specialized Applications in Healthcare arXiv 2025 https://arxiv.org/pdf/2504.21191v1 40f6c9ec62a3f8d3 data/papers/40f6c9ec62a3f8d3.pdf data/papers/40f6c9ec62a3f8d3.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards Improved Cervical Cancer Screening: Vision Transformer-Based Classification and Interpretability arXiv 2025 https://arxiv.org/pdf/2504.21340v1 4f04414b4b79b21b data/papers/4f04414b4b79b21b.pdf data/papers/4f04414b4b79b21b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Vision-Language Model-Based Semantic-Guided Imaging Biomarker for Early Lung Cancer Detection arXiv 2025 https://arxiv.org/pdf/2504.21344v1 4f5ad409f0050b72 data/papers/4f5ad409f0050b72.pdf data/papers/4f5ad409f0050b72.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Anomaly-Driven Approach for Enhanced Prostate Cancer Segmentation arXiv 2025 https://arxiv.org/pdf/2504.21789v1 93a509cfac309f8d data/papers/93a509cfac309f8d.pdf data/papers/93a509cfac309f8d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design arXiv 2025 https://arxiv.org/pdf/2505.00134v1 65379193f78338af data/papers/65379193f78338af.pdf data/papers/65379193f78338af.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Attention-enabled Explainable AI for Bladder Cancer Recurrence Prediction arXiv 2025 https://arxiv.org/pdf/2505.00171v1 46615a538c4abcd1 data/papers/46615a538c4abcd1.pdf data/papers/46615a538c4abcd1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality arXiv 2025 https://arxiv.org/pdf/2505.00308v2 b25cb844cd178da1 data/papers/b25cb844cd178da1.pdf data/papers/b25cb844cd178da1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +OmicsCL: Unsupervised Contrastive Learning for Cancer Subtype Discovery and Survival Stratification arXiv 2025 https://arxiv.org/pdf/2505.00650v1 7e8b78d48cd2cea6 data/papers/7e8b78d48cd2cea6.pdf data/papers/7e8b78d48cd2cea6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer arXiv 2025 https://arxiv.org/pdf/2505.01390v1 0f8ffe2abdde4e73 data/papers/0f8ffe2abdde4e73.pdf data/papers/0f8ffe2abdde4e73.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans arXiv 2025 https://arxiv.org/pdf/2505.01644v1 1b423f02374a3e6e data/papers/1b423f02374a3e6e.pdf data/papers/1b423f02374a3e6e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking arXiv 2025 https://arxiv.org/pdf/2505.01696v1 58f5e44af007795c data/papers/58f5e44af007795c.pdf data/papers/58f5e44af007795c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification arXiv 2025 https://arxiv.org/pdf/2505.01741v1 31d3eaf57ba5ad20 data/papers/31d3eaf57ba5ad20.pdf data/papers/31d3eaf57ba5ad20.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation arXiv 2025 https://arxiv.org/pdf/2505.01984v1 3d9e818def70842d data/papers/3d9e818def70842d.pdf data/papers/3d9e818def70842d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CSASN: A Multitask Attention-Based Framework for Heterogeneous Thyroid Carcinoma Classification in Ultrasound Images arXiv 2025 https://arxiv.org/pdf/2505.02211v1 011658bd13317f5d data/papers/011658bd13317f5d.pdf data/papers/011658bd13317f5d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer arXiv 2025 https://arxiv.org/pdf/2505.03018v1 7b128cc13ac801ce data/papers/7b128cc13ac801ce.pdf data/papers/7b128cc13ac801ce.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DCS-ST for Classification of Breast Cancer Histopathology Images with Limited Annotations arXiv 2025 https://arxiv.org/pdf/2505.03204v2 82457f7459cca01b data/papers/82457f7459cca01b.pdf data/papers/82457f7459cca01b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reinforced Correlation Between Vision and Language for Precise Medical AI Assistant arXiv 2025 https://arxiv.org/pdf/2505.03380v1 eaed7a3800147093 data/papers/eaed7a3800147093.pdf data/papers/eaed7a3800147093.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Privacy-preserving neutral atom-based quantum classifier towards real healthcare applications arXiv 2025 https://arxiv.org/pdf/2505.04570v1 cd23cff663e7b6fa data/papers/cd23cff663e7b6fa.pdf data/papers/cd23cff663e7b6fa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Histo-Miner: Deep Learning based Tissue Features Extraction Pipeline from H&E Whole Slide Images of Cutaneous Squamous Cell Carcinoma arXiv 2025 https://arxiv.org/pdf/2505.04672v1 4832a65c560ac0f1 data/papers/4832a65c560ac0f1.pdf data/papers/4832a65c560ac0f1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +White Light Specular Reflection Data Augmentation for Deep Learning Polyp Detection arXiv 2025 https://arxiv.org/pdf/2505.05248v1 99aef9a5c8c8e8fd data/papers/99aef9a5c8c8e8fd.pdf data/papers/99aef9a5c8c8e8fd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology arXiv 2025 https://arxiv.org/pdf/2505.05689v1 74fea19ccee42ba5 data/papers/74fea19ccee42ba5.pdf data/papers/74fea19ccee42ba5.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Towards order of magnitude X-ray dose reduction in breast cancer imaging using phase contrast and deep denoising arXiv 2025 https://arxiv.org/pdf/2505.05812v1 d63bb5624e9d8cc9 data/papers/d63bb5624e9d8cc9.pdf data/papers/d63bb5624e9d8cc9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review arXiv 2025 https://arxiv.org/pdf/2505.06118v1 592a3749994c3c3d data/papers/592a3749994c3c3d.pdf data/papers/592a3749994c3c3d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +LMLCC-Net: A Semi-Supervised Deep Learning Model for Lung Nodule Malignancy Prediction from CT Scans using a Novel Hounsfield Unit-Based Intensity Filtering arXiv 2025 https://arxiv.org/pdf/2505.06370v1 86dcfb75e965a1cd data/papers/86dcfb75e965a1cd.pdf data/papers/86dcfb75e965a1cd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Performance Analysis and Noise Impact of a Novel Quantum KNN Algorithm for Machine Learning arXiv 2025 https://arxiv.org/pdf/2505.06441v1 aa9931199e187427 data/papers/aa9931199e187427.pdf data/papers/aa9931199e187427.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semiparametric semi-supervised learning for general targets under distribution shift and decaying overlap arXiv 2025 https://arxiv.org/pdf/2505.06452v1 257d04e0e8be575f data/papers/257d04e0e8be575f.pdf data/papers/257d04e0e8be575f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Boltzmann Classifier: A Thermodynamic-Inspired Approach to Supervised Learning arXiv 2025 https://arxiv.org/pdf/2505.06753v2 17f813e1872cefb4 data/papers/17f813e1872cefb4.pdf data/papers/17f813e1872cefb4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +KDH-MLTC: Knowledge Distillation for Healthcare Multi-Label Text Classification arXiv 2025 https://arxiv.org/pdf/2505.07162v1 710eecf4a5647edc data/papers/710eecf4a5647edc.pdf data/papers/710eecf4a5647edc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework arXiv 2025 https://arxiv.org/pdf/2505.07654v1 a83f18b433b62c33 data/papers/a83f18b433b62c33.pdf data/papers/a83f18b433b62c33.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Validation of Conformal Prediction in Cervical Atypia Classification arXiv 2025 https://arxiv.org/pdf/2505.08845v1 0d71579743f4b5da data/papers/0d71579743f4b5da.pdf data/papers/0d71579743f4b5da.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optimizing Neuro-Fuzzy and Colonial Competition Algorithms for Skin Cancer Diagnosis in Dermatoscopic Images arXiv 2025 https://arxiv.org/pdf/2505.08886v1 7e692142183dabcc data/papers/7e692142183dabcc.pdf data/papers/7e692142183dabcc.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Template-Guided Reconstruction of Pulmonary Segments with Neural Implicit Functions arXiv 2025 https://arxiv.org/pdf/2505.08919v1 350b097611b4b058 data/papers/350b097611b4b058.pdf data/papers/350b097611b4b058.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Signal-based AI-driven software solution for automated quantification of metastatic bone disease and treatment response assessment using Whole-Body Diffusion-Weighted MRI (WB-DWI) biomarkers in Advanced Prostate Cancer arXiv 2025 https://arxiv.org/pdf/2505.09011v1 7cae125e0147eec0 data/papers/7cae125e0147eec0.pdf data/papers/7cae125e0147eec0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DCSNet: A Lightweight Knowledge Distillation-Based Model with Explainable AI for Lung Cancer Diagnosis from Histopathological Images arXiv 2025 https://arxiv.org/pdf/2505.09334v1 c8f35ab7d4c04100 data/papers/c8f35ab7d4c04100.pdf data/papers/c8f35ab7d4c04100.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainability Through Human-Centric Design for XAI in Lung Cancer Detection arXiv 2025 https://arxiv.org/pdf/2505.09755v2 b25c2fd86a9f1783 data/papers/b25c2fd86a9f1783.pdf data/papers/b25c2fd86a9f1783.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Promise of Data-Driven Modeling and Decision Support for Precision Oncology and Theranostics arXiv 2025 https://arxiv.org/pdf/2505.09899v1 e2d55e1cd80fe925 data/papers/e2d55e1cd80fe925.pdf data/papers/e2d55e1cd80fe925.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples arXiv 2025 https://arxiv.org/pdf/2505.09993v1 17fd667840f02ce1 data/papers/17fd667840f02ce1.pdf data/papers/17fd667840f02ce1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optimal normalization in quantum-classical hybrid models for anti-cancer drug response prediction arXiv 2025 https://arxiv.org/pdf/2505.10037v1 02d5ff950cc02cb7 data/papers/02d5ff950cc02cb7.pdf data/papers/02d5ff950cc02cb7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Large Language Models for Cancer Communication: Evaluating Linguistic Quality, Safety, and Accessibility in Generative AI arXiv 2025 https://arxiv.org/pdf/2505.10472v1 d93af2061ee1f89f data/papers/d93af2061ee1f89f.pdf data/papers/d93af2061ee1f89f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bias and Generalizability of Foundation Models across Datasets in Breast Mammography arXiv 2025 https://arxiv.org/pdf/2505.10579v2 45efaeb177c1173b data/papers/45efaeb177c1173b.pdf data/papers/45efaeb177c1173b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics arXiv 2025 https://arxiv.org/pdf/2505.10711v1 3677311394a0a332 data/papers/3677311394a0a332.pdf data/papers/3677311394a0a332.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Informed, but Not Always Improved: Challenging the Benefit of Background Knowledge in GNNs arXiv 2025 https://arxiv.org/pdf/2505.11023v1 07b0a7d0cf20c75b data/papers/07b0a7d0cf20c75b.pdf data/papers/07b0a7d0cf20c75b.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +In silico tool for identification of colorectal cancer from cell-free DNA biomarkers arXiv 2025 https://arxiv.org/pdf/2505.11041v1 877870c554284b87 data/papers/877870c554284b87.pdf data/papers/877870c554284b87.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Evaluation and optimization of deep learning models for enhanced detection of brain cancer using transmission optical microscopy of thin brain tissue samples arXiv 2025 https://arxiv.org/pdf/2505.11735v1 c531b3611ee48162 data/papers/c531b3611ee48162.pdf data/papers/c531b3611ee48162.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance arXiv 2025 https://arxiv.org/pdf/2505.11997v2 b6b81e2e96722547 data/papers/b6b81e2e96722547.pdf data/papers/b6b81e2e96722547.xml [] [] "{""public"": NaN, 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Pre-Treatment Histopathologic Images arXiv 2025 https://arxiv.org/pdf/2505.14730v1 1ecf78db307f07da data/papers/1ecf78db307f07da.pdf data/papers/1ecf78db307f07da.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Model-Independent Machine Learning Approach for Nanometric Axial Localization and Tracking arXiv 2025 https://arxiv.org/pdf/2505.14754v1 702ebc9055716a77 data/papers/702ebc9055716a77.pdf data/papers/702ebc9055716a77.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Lung Nodule-SSM: Self-Supervised Lung Nodule Detection and Classification in Thoracic CT Images arXiv 2025 https://arxiv.org/pdf/2505.15120v1 119ecd59cc530533 data/papers/119ecd59cc530533.pdf data/papers/119ecd59cc530533.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer arXiv 2025 https://arxiv.org/pdf/2505.15505v1 37e1cc4d29b3a631 data/papers/37e1cc4d29b3a631.pdf data/papers/37e1cc4d29b3a631.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning arXiv 2025 https://arxiv.org/pdf/2505.15687v1 df9b0c71b67d3f96 data/papers/df9b0c71b67d3f96.pdf data/papers/df9b0c71b67d3f96.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +An Inclusive Foundation Model for Generalizable Cytogenetics in Precision Oncology arXiv 2025 https://arxiv.org/pdf/2505.15868v1 c1a129d30498a79f data/papers/c1a129d30498a79f.pdf 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CT-Radiomics and Foundation-Model Signatures Across Multicentre NSCLC Data arXiv 2025 https://arxiv.org/pdf/2505.17893v1 69841ac7aff4a5a1 data/papers/69841ac7aff4a5a1.pdf data/papers/69841ac7aff4a5a1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Explainable Anatomy-Guided AI for Prostate MRI: Foundation Models and In Silico Clinical Trials for Virtual Biopsy-based Risk Assessment arXiv 2025 https://arxiv.org/pdf/2505.17971v1 0657a6274d86c7f6 data/papers/0657a6274d86c7f6.pdf data/papers/0657a6274d86c7f6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling arXiv 2025 https://arxiv.org/pdf/2505.17982v3 bd9c98fb577eba36 data/papers/bd9c98fb577eba36.pdf data/papers/bd9c98fb577eba36.xml [] [] 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9bc51825e42757d4 data/papers/9bc51825e42757d4.pdf data/papers/9bc51825e42757d4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Quantum Machine Learning in Healthcare: Evaluating QNN and QSVM Models arXiv 2025 https://arxiv.org/pdf/2505.20804v1 904325840e55d4b7 data/papers/904325840e55d4b7.pdf data/papers/904325840e55d4b7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Hybrid Machine Learning and Mathematical Modeling for Tumor Dynamics Prediction: Comparing SPIONs against mNP-FDG arXiv 2025 https://arxiv.org/pdf/2505.21094v1 c0d63fcbc91e486a data/papers/c0d63fcbc91e486a.pdf data/papers/c0d63fcbc91e486a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prostate Cancer Screening with Artificial Intelligence-Enhanced Micro-Ultrasound: A Comparative Study with Traditional Methods arXiv 2025 https://arxiv.org/pdf/2505.21355v1 e48af77e836d0808 data/papers/e48af77e836d0808.pdf data/papers/e48af77e836d0808.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EvidenceMoE: A Physics-Guided Mixture-of-Experts with Evidential Critics for Advancing Fluorescence Light Detection and Ranging in Scattering Media arXiv 2025 https://arxiv.org/pdf/2505.21532v1 7aa755f4a675f512 data/papers/7aa755f4a675f512.pdf data/papers/7aa755f4a675f512.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Optimizing Deep Learning for Skin Cancer Classification: A Computationally Efficient CNN with Minimal Accuracy Trade-Off arXiv 2025 https://arxiv.org/pdf/2505.21597v1 15471fea414511a8 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Image Classification arXiv 2025 https://arxiv.org/pdf/2505.23040v1 b5839a23eb44b5a0 data/papers/b5839a23eb44b5a0.pdf data/papers/b5839a23eb44b5a0.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +X2Graph for Cancer Subtyping Prediction on Biological Tabular Data arXiv 2025 https://arxiv.org/pdf/2505.23334v1 fdc84993fc86f6e8 data/papers/fdc84993fc86f6e8.pdf data/papers/fdc84993fc86f6e8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ImmunoDiff: A Diffusion Model for Immunotherapy Response Prediction in Lung Cancer arXiv 2025 https://arxiv.org/pdf/2505.23675v1 042e68dd7d22bb3a data/papers/042e68dd7d22bb3a.pdf data/papers/042e68dd7d22bb3a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving statistical learning methods via features selection without replacement sampling and random projection arXiv 2025 https://arxiv.org/pdf/2506.00053v1 ba1572f5ea6796cf data/papers/ba1572f5ea6796cf.pdf data/papers/ba1572f5ea6796cf.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Intercept Cancer: Cancer Pre-Screening with Large Scale Healthcare Foundation Models arXiv 2025 https://arxiv.org/pdf/2506.00209v1 73ad7d9f2167c515 data/papers/73ad7d9f2167c515.pdf data/papers/73ad7d9f2167c515.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Modality Translation and Registration of MR and Ultrasound Images Using Diffusion Models arXiv 2025 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NaN, ""license"": NaN}" {} +Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images arXiv 2025 https://arxiv.org/pdf/2506.03420v1 3236fcf1a8ee5599 data/papers/3236fcf1a8ee5599.pdf data/papers/3236fcf1a8ee5599.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks arXiv 2025 https://arxiv.org/pdf/2506.04121v1 7feef5b75f8d2ed7 data/papers/7feef5b75f8d2ed7.pdf data/papers/7feef5b75f8d2ed7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection arXiv 2025 https://arxiv.org/pdf/2506.06265v1 faea787a966daf89 data/papers/faea787a966daf89.pdf data/papers/faea787a966daf89.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MoXGATE: Modality-aware cross-attention for multi-omic gastrointestinal cancer sub-type classification arXiv 2025 https://arxiv.org/pdf/2506.06980v1 3c5662eda63887fa data/papers/3c5662eda63887fa.pdf data/papers/3c5662eda63887fa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh arXiv 2025 https://arxiv.org/pdf/2506.07228v1 bd056243721a2aef data/papers/bd056243721a2aef.pdf data/papers/bd056243721a2aef.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Narrative Review on Large AI Models in Lung Cancer Screening, Diagnosis, and Treatment Planning arXiv 2025 https://arxiv.org/pdf/2506.07236v2 4a4082569baf3530 data/papers/4a4082569baf3530.pdf data/papers/4a4082569baf3530.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Spatial Transcriptomics Expression Prediction from Histopathology Based on Cross-Modal Mask Reconstruction and Contrastive Learning arXiv 2025 https://arxiv.org/pdf/2506.08854v1 3fb867f2d7c04b94 data/papers/3fb867f2d7c04b94.pdf data/papers/3fb867f2d7c04b94.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Llama-Affinity: A Predictive Antibody Antigen Binding Model Integrating Antibody Sequences with Llama3 Backbone Architecture arXiv 2025 https://arxiv.org/pdf/2506.09052v1 3b22e89b841c7e9c 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Automatic Replanning in Head-and-Neck Cancer Proton Therapy arXiv 2025 https://arxiv.org/pdf/2506.10073v1 3bfc9889053133fb data/papers/3bfc9889053133fb.pdf data/papers/3bfc9889053133fb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Improving Oral Cancer Outcomes Through Machine Learning and Dimensionality Reduction arXiv 2025 https://arxiv.org/pdf/2506.10189v1 873fbe3943d78f11 data/papers/873fbe3943d78f11.pdf data/papers/873fbe3943d78f11.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Prompt-Guided Latent Diffusion with Predictive Class Conditioning for 3D Prostate MRI Generation arXiv 2025 https://arxiv.org/pdf/2506.10230v1 7464b6d10a6fd408 data/papers/7464b6d10a6fd408.pdf data/papers/7464b6d10a6fd408.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation arXiv 2025 https://arxiv.org/pdf/2506.10302v1 ef50d80e93fa0341 data/papers/ef50d80e93fa0341.pdf data/papers/ef50d80e93fa0341.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Semi-Automated Quality Assurance in Digital Pathology: Tile Classification Approach arXiv 2025 https://arxiv.org/pdf/2506.10916v1 b624212f18eac5d8 data/papers/b624212f18eac5d8.pdf data/papers/b624212f18eac5d8.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Predicting Early-Onset Colorectal Cancer with Large Language Models arXiv 2025 https://arxiv.org/pdf/2506.11410v1 d2fa0ba72ec61b69 data/papers/d2fa0ba72ec61b69.pdf 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Synthetic CT and MRI for Tumor and Bone Segmentation arXiv 2025 https://arxiv.org/pdf/2506.12106v1 eed5eacbd3c07b12 data/papers/eed5eacbd3c07b12.pdf data/papers/eed5eacbd3c07b12.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Artificial Intelligence and Machine Learning in the Development of Vaccines and Immunotherapeutics Yesterday, Today, and Tomorrow arXiv 2025 https://arxiv.org/pdf/2506.12185v1 0326ee8ed0dac5d2 data/papers/0326ee8ed0dac5d2.pdf data/papers/0326ee8ed0dac5d2.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +BreastDCEDL: Curating a Comprehensive DCE-MRI Dataset and developing a Transformer Implementation for Breast Cancer Treatment Response Prediction arXiv 2025 https://arxiv.org/pdf/2506.12190v2 247b514a1114e360 data/papers/247b514a1114e360.pdf 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NaN}" {} +PDCNet: a benchmark and general deep learning framework for activity prediction of peptide-drug conjugates arXiv 2025 https://arxiv.org/pdf/2506.12821v1 1f029089483fafb6 data/papers/1f029089483fafb6.pdf data/papers/1f029089483fafb6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised risk factor identification across cancer types and data modalities via explainable artificial intelligence arXiv 2025 https://arxiv.org/pdf/2506.12944v2 8c9611863dacdc77 data/papers/8c9611863dacdc77.pdf data/papers/8c9611863dacdc77.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography arXiv 2025 https://arxiv.org/pdf/2506.13964v1 36ceb79fb9bac42a data/papers/36ceb79fb9bac42a.pdf 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Cross-Modal Autoregressive Traction for Survival Prediction arXiv 2025 https://arxiv.org/pdf/2506.15696v1 c14abb16bd2bc243 data/papers/c14abb16bd2bc243.pdf data/papers/c14abb16bd2bc243.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Unsupervised deep learning model for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma arXiv 2025 https://arxiv.org/pdf/2506.15803v1 63adb4dd430265e4 data/papers/63adb4dd430265e4.pdf data/papers/63adb4dd430265e4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bayesian Non-Negative Matrix Factorization with Correlated Mutation Type Probabilities for Mutational Signatures arXiv 2025 https://arxiv.org/pdf/2506.15855v2 a193eb085f5d91e8 data/papers/a193eb085f5d91e8.pdf 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https://arxiv.org/pdf/2506.17234v1 3d14c823f55ff82e data/papers/3d14c823f55ff82e.pdf data/papers/3d14c823f55ff82e.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exploring Strategies for Personalized Radiation Therapy Part II Predicting Tumor Drift Patterns with Diffusion Models arXiv 2025 https://arxiv.org/pdf/2506.17491v1 39120c818bebe64a data/papers/39120c818bebe64a.pdf data/papers/39120c818bebe64a.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +DRIMV_TSK: An Interpretable Surgical Evaluation Model for Incomplete Multi-View Rectal Cancer Data arXiv 2025 https://arxiv.org/pdf/2506.17552v1 67dfb6edcc06575d data/papers/67dfb6edcc06575d.pdf data/papers/67dfb6edcc06575d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis arXiv 2025 https://arxiv.org/pdf/2506.17852v1 c3fbd1d2bcf80ae9 data/papers/c3fbd1d2bcf80ae9.pdf data/papers/c3fbd1d2bcf80ae9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis arXiv 2025 https://arxiv.org/pdf/2506.18028v2 07f42b508c1c46b6 data/papers/07f42b508c1c46b6.pdf data/papers/07f42b508c1c46b6.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CT Radiomics-Based Explainable Machine Learning Model for Accurate Differentiation of Malignant and Benign Endometrial Tumors: A Two-Center Study arXiv 2025 https://arxiv.org/pdf/2506.18106v1 a802b7de0d093245 data/papers/a802b7de0d093245.pdf data/papers/a802b7de0d093245.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection arXiv 2025 https://arxiv.org/pdf/2506.18134v1 5e771ed38eb3a4e7 data/papers/5e771ed38eb3a4e7.pdf data/papers/5e771ed38eb3a4e7.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +STACT-Time: Spatio-Temporal Cross Attention for Cine Thyroid Ultrasound Time Series Classification arXiv 2025 https://arxiv.org/pdf/2506.18172v1 636402a3ab8ea4aa data/papers/636402a3ab8ea4aa.pdf data/papers/636402a3ab8ea4aa.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Transforming H&E images 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""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning arXiv 2025 https://arxiv.org/pdf/2506.19324v1 ef5febdac88d57f9 data/papers/ef5febdac88d57f9.pdf data/papers/ef5febdac88d57f9.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction arXiv 2025 https://arxiv.org/pdf/2506.19363v1 a252a7a2fd07869d data/papers/a252a7a2fd07869d.pdf data/papers/a252a7a2fd07869d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks arXiv 2025 https://arxiv.org/pdf/2506.19464v1 2dc96cfbd66a611c data/papers/2dc96cfbd66a611c.pdf data/papers/2dc96cfbd66a611c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +ReMAR-DS: Recalibrated Feature Learning for Metal Artifact Reduction and CT Domain Transformation arXiv 2025 https://arxiv.org/pdf/2506.19531v1 6c9e11cd4bda5dd1 data/papers/6c9e11cd4bda5dd1.pdf data/papers/6c9e11cd4bda5dd1.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Learning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI arXiv 2025 https://arxiv.org/pdf/2506.19590v1 17c6e2320ddeb8bd data/papers/17c6e2320ddeb8bd.pdf data/papers/17c6e2320ddeb8bd.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} 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NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +New Insights on Unfolding and Fine-tuning Quantum Federated Learning arXiv 2025 https://arxiv.org/pdf/2506.20016v1 6c98b3261f9f9192 data/papers/6c98b3261f9f9192.pdf data/papers/6c98b3261f9f9192.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +E-ABIN: an Explainable module for Anomaly detection in BIological Networks arXiv 2025 https://arxiv.org/pdf/2506.20693v1 0e15da62b872469f data/papers/0e15da62b872469f.pdf data/papers/0e15da62b872469f.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Detection of Breast Cancer Lumpectomy Margin with SAM-incorporated Forward-Forward Contrastive Learning arXiv 2025 https://arxiv.org/pdf/2506.21006v1 05db512b8f308455 data/papers/05db512b8f308455.pdf data/papers/05db512b8f308455.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy arXiv 2025 https://arxiv.org/pdf/2506.21153v1 121130ca1d199381 data/papers/121130ca1d199381.pdf data/papers/121130ca1d199381.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation arXiv 2025 https://arxiv.org/pdf/2506.21444v1 58531e53fbb4b216 data/papers/58531e53fbb4b216.pdf data/papers/58531e53fbb4b216.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Devising a solution to the problems of Cancer awareness in Telangana arXiv 2025 https://arxiv.org/pdf/2506.21500v1 0defac71cf7926ba data/papers/0defac71cf7926ba.pdf data/papers/0defac71cf7926ba.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume arXiv 2025 https://arxiv.org/pdf/2506.21927v1 f500d4ed7b9daa30 data/papers/f500d4ed7b9daa30.pdf data/papers/f500d4ed7b9daa30.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysis arXiv 2025 https://arxiv.org/pdf/2506.22446v1 6787f01e5f8b7a52 data/papers/6787f01e5f8b7a52.pdf data/papers/6787f01e5f8b7a52.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Missing-Modality-Aware Graph Neural Network for Cancer Classification arXiv 2025 https://arxiv.org/pdf/2506.22901v1 4483cc16d71f8b6c data/papers/4483cc16d71f8b6c.pdf data/papers/4483cc16d71f8b6c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +CN-SBM: Categorical Block Modelling For Primary and Residual Copy Number Variation arXiv 2025 https://arxiv.org/pdf/2506.22963v1 6ec0aea6a0611cfb data/papers/6ec0aea6a0611cfb.pdf data/papers/6ec0aea6a0611cfb.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification arXiv 2025 https://arxiv.org/pdf/2506.23298v1 3efe56872baf288c data/papers/3efe56872baf288c.pdf data/papers/3efe56872baf288c.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +Federated Breast Cancer Detection Enhanced by Synthetic Ultrasound Image Augmentation arXiv 2025 https://arxiv.org/pdf/2506.23334v1 7bb555d9c684963d data/papers/7bb555d9c684963d.pdf data/papers/7bb555d9c684963d.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {} +GUSL: A Novel and Efficient Machine Learning Model for Prostate Segmentation on MRI arXiv 2025 https://arxiv.org/pdf/2506.23688v1 361136e8053b80c4 data/papers/361136e8053b80c4.pdf data/papers/361136e8053b80c4.xml [] [] "{""public"": NaN, ""dependencies"": NaN, ""training"": NaN, ""evaluation"": NaN, ""weights"": NaN, ""readme"": NaN, ""license"": NaN}" {}