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https://github.com/junma11/miccai-opensourcepapers
MICCAI 2019-2023 Open Source Papers
https://github.com/junma11/miccai-opensourcepapers
deep-learning medical-imaging
Last synced: about 1 month ago
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MICCAI 2019-2023 Open Source Papers
- Host: GitHub
- URL: https://github.com/junma11/miccai-opensourcepapers
- Owner: JunMa11
- License: apache-2.0
- Created: 2019-10-10T09:51:14.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2023-11-01T20:25:08.000Z (about 1 year ago)
- Last Synced: 2024-10-14T11:04:42.354Z (about 1 month ago)
- Topics: deep-learning, medical-imaging
- Homepage:
- Size: 2.85 MB
- Stars: 1,213
- Watchers: 32
- Forks: 239
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# MICCAI 2023 Open-Source Papers
[MICCAI 2023 PROCEEDINGS](https://conferences.miccai.org/2023/en/PROCEEDINGS.html)
> Please feel free to pull requests for the unlisted open-source papers.
| Title | FirstAuthor | Code |
|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------|-------------------------------------------------------------------------------------------------------------------------------------|
| 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images | Alina F. Dima | [code](https://github.com/alinafdima/3Dseg-mip-depth) |
| 3D Dental Mesh Segmentation Using Semantics-Based Feature Learning with Graph-Transformer | Fan Duan | [code](https://github.com/df-boy/SGTNet) |
| 3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks | Heng Cai | [code](https://github.com/HengCai-NJU/3D2DCT) |
| 3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers | Omkar Thawakar | [code](https://github.com/OmkarThawakar/STT-UNET) |
| A denoised Mean Teacher for domain adaptive point cloud registration | Alexander Bigalke | [code](https://github.com/uncbiag/robot) |
| A flexible framework for simulating and evaluating biases in deep learning-based medical image analysis | Emma A.M. Stanley | [code](https://github.com/estanley16/SimBA) |
| A Model-Agnostic Framework for Universal Anomaly Detection of Multi-Organ and Multi-Modal Images | Yinghao Zhang | [code](https://github.com/lianjizhe/MADDR_code) |
| A Motion Transformer for Single Particle Tracking in Fluorescence Microscopy Images | Yudong Zhang | [code](https://github.com/imzhangyd/MoTT.git) |
| A Multi-Task Method for Immunofixation Electrophoresis Image Classification | Yi Shi | [code](https://github.com/shiy19/IFE-classification) |
| A Multi-Task Network for Anatomy Identification in Endoscopic Pituitary Surgery | Adrito Das | [code](https://github.com/dreets/pitnet-anat-public) |
| A Patient-Specific Self-supervised Model for Automatic X-ray/CT Registration | Baochang Zhang | [code](https://github.com/BaochangZhang/PSSS_registration) |
| A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications | Matteo Pennisi | [code](https://github.com/perceivelab/PLAN) |
| A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging | Zheyao Gao | [code](https://github.com/key1589745/Multi-view_liver) |
| A Sheaf Theoretic Perspective for Robust Prostate Segmentation | Ainkaran Santhirasekaram | [code](https://github.com/AinkaranSanthi/A-Sheaf-Theoretic-Perspective-for-Robust-Segmentation) |
| A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos | Chao Qin | [code](https://github.com/AlfredQin/STNet) |
| A Transfer Learning Approach to Localise a Deep Brain Stimulation Target | Ying-Qiu Zheng | [code](https://git.fmrib.ox.ac.uk/yqzheng1/python-localise) |
| A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants | Shaotong Zhu | [code](https://github.com/ostadabbas/NNS-Detection-and-Segmentation) |
| A2FSeg: Adaptive Multi-Modal Fusion Network for Medical Image Segmentation | Zirui Wang | [code](https://github.com/Zirui0623/A2FSeg.git) |
| ACC-UNet: A Completely Convolutional UNet model for the 2020s | Nabil Ibtehaz | [code](https://github.com/kiharalab/ACC-UNet) |
| Accurate multi-contrast MRI super-resolution via a dual cross-attention transformer network | Shoujin Huang | [code](https://github.com/mylyu/M4Raw) |
| ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast | Chenyu You | [code](https://github.com/charlesyou999648/ACTION) |
| Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases | Wentao Zhang | [code](https://github.com/GiantJun/CL_Pytorch) |
| Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation | Muhammad Asad | [code](https://github.com/masadcv/MONet-MONAILabel) |
| Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation | Jingna Qiu | [code](https://github.com/DeepMicroscopy/AdaptiveRegionSelection) |
| Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs | Fangda Li | [code](https://github.com/lifangda01/AdaptiveSupervisedPatchNCE) |
| Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography | Xiao Ma | [code](https://github.com/maxiao0234/ARTran) |
| Adult-like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation | Jiameng Liu | [code](https://github.com/SaberPRC/IsointenseBrainTissueSeg.git) |
| AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling | Weihao Yu | [code](https://github.com/yuyouxixi/airway-labeling/tree/main) |
| Alias-Free Co-Modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images | Zhiyun Song | [code](https://github.com/zhiyuns/AFCM) |
| ALL-IN: A Local GLobal Graph-based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment | Puria Azadi | [code](https://github.com/pazadimo/ALL-IN) |
| AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor | Yu-Jen Chen | [code](https://github.com/windstormer/AME-CAM) |
| An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment | Parmida Ghahremani | [code](https://github.com/nadeemlab/DeepLIIF) |
| An Anti-Biased TBSRTC-Category Aware Nuclei Segmentation Framework with A Multi-Label Thyroid Cytology Benchmark | Junchao Zhu | [code](https://github.com/Junchao-Zhu/TCSegNet) |
| An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field | Kelly Payette | [code](https://github.com/SVRTK/Fetal-T2star-Recon) |
| An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis | Luyi Han | [code](https://github.com/fiy2W/mri_seq2seq) |
| An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment | Favour Nerrise | [code](https://github.com/favour-nerrise/xGW-GAT) |
| An Unsupervised Multispectral Image Registration Network for Skin Diseases | Songhui Diao | [code](https://github.com/SH-Diao123/MSIR) |
| Anatomical Landmark Detection Using a Multiresolution Learning Approach with a Hybrid Transformer-CNN Model | Thanaporn Viriyasaranon | [code](https://github.com/seriee/Multiresolution-HTC.git) |
| Anatomy-Driven Pathology Detection on Chest X-rays | Philip M¨¹ller | [code](https://github.com/philip-mueller/adpd) |
| Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection | Balint Kovacs | [code](https://github.com/MIC-DKFZ/batchgenerators) |
| Aneurysm Pose Estimation with Deep Learning | Youssef Assis | [code](https://gitlab.inria.fr/yassis/DeepAnePose) |
| AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography | Ruisheng Su | [code](https://github.com/RuishengSu/AngioMoCo) |
| Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models | Tomer Amit | [code](https://github.com/tomeramit/Annotator-Consensus-Prediction) |
| Ariadne¡®s Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images | Yi Zhong | [code](https://github.com/HUANGLIZI/LViT) |
| ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models | Yuhao Du | [code](https://github.com/DuYooho/ArSDM) |
| Artifact Restoration in Histology Images with Diffusion Probabilistic Models | Zhenqi He | [code](https://github.com/lu-yizhou/ClusterSeg) |
| ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising | Zhihao Chen | [code](https://github.com/hao1635/ASCON) |
| Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation | Thierry Judge | [code](https://github.com/ThierryJudge/contouring-uncertainty) |
| Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer’s Disease using Multimodal Imaging Genetics | Rong Zhou | [code](https://github.com/rongzhou7/ADCCA) |
| atTRACTive: Semi-automatic white matter tract segmentation using active learning | Robin Peretzke | [code](https://github.com/MIC-DKFZ/MITK-Diffusion) |
| Automatic Bleeding Risk Rating System of Gastric Varices | Yicheng Jiang | [code](https://github.com/LuyueShi/gastric-varices) |
| Automatic Retrieval of Corresponding US Views in Longitudinal Examinations | Hamideh Kerdegari | [code](https://github.com/hamidehkerdegari/Muscle-view-retrieval) |
| Automatic Segmentation of Internal Tooth Structure from CBCT Images using Hierarchical Deep Learning | SaeHyun Kim | [code](https://github.com/Saeeeae/Internal-Tooth-Segmentation) |
| BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation | Tao Chen | [code](https://github.com/takimailto/BerDiff) |
| Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding | Zijian Dong | [code](https://github.com/ZijianD/Brain-TokenGT.git) |
| Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data | Kai Ye | [code](https://github.com/FlynnYe/BMCL) |
| Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers | Anlan Sun | [code](https://github.com/PlayerSAL/KGA-Net) |
| Boundary Difference Over Union Loss For Medical Image Segmentation | Fan Sun | [code](https://github.com/sunfan-bvb/BoundaryDoULoss) |
| Boundary-weighted logit consistency improves calibration of segmentation networks | Neerav Karani | [code](https://github.com/neerakara/BWCR) |
| Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI | Lintao Zhang | [code](https://github.com/goodaycoder/BAR) |
| BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis | Pengshuai Zhang | [code](https://github.com/IntelliDAL/Graph/tree/main/BrainUSL) |
| Bridging ex-vivo training and intra-operative deployment for surgical margin assessment with Evidential Graph Transformer | Amoon Jamzad | [code](https://github.com/med-i-lab/evidential_graph_transformers/) |
| Can point cloud networks learn statistical shape models of anatomies? | Jadie Adams | [code](https://github.com/jadie1/PointCompletionSSM) |
| CARL: Cross-aligned Representation Learning for Multi-view Lung Cancer Histology Classification | Yin Luo | [code](https://github.com/candyknife/CARL) |
| CAS-Net: Cross-view Aligned Segmentation by Graph Representation of Knees | Zixu Zhuang | [code](https://github.com/zixuzhuang/OAI_seg) |
| CAT-ViL: Co-Attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery | Long Bai | [code](https://github.com/longbai1006/CAT-ViL) |
| CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? | Jiahao Huang | [code](https://github.com/ayanglab/CDiffMR) |
| CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification | Zhenrong Shen | [code](https://github.com/ZhenrongShen/CellGAN) |
| Centroid-aware feature recalibration for cancer grading in pathology images | Jaeung Lee | [code](https://github.com/QuIIL/KBSMC_colon_cancer_grading_dataset) |
| Certification of Deep Learning Models for Medical Image Segmentation | Othmane Laousy | [code](https://github.com/othmanela/medical_cert_seg) |
| Chest X-ray Image Classification: A Causal Perspective | Weizhi Nie | [code](https://github.com/zc2024/Causal_CXR) |
| CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI | Jameson Merkow | [code](https://github.com/microsoft/MedImaging-ModelDriftMonitoring) |
| CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention | Hengxu Zhang | [code](https://github.com/zhanghx-iim-ahu/CircleFormer) |
| CL-ADDA: Contrastive Learning with Amplitude-Driven Data Augmentation for fMRI-Based Individualized Predictions | Jiangcong Liu | [code](https://github.com/tianbjtu/CL-ADDA.git) |
| Class-Aware Feature Alignment for Domain Adaptative Mitochondria Segmentation | Dan Yin | [code](https://github.com/Danyin813/CAFA.) |
| Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging | Meirui Jiang | [code](https://github.com/med-air/Client-DP-FL) |
| CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation | Yicheng Wu | [code](https://github.com/ycwu1997/CoactSeg) |
| Co-assistant Networks for Label Correction | Xuan Chen | [code](https://github.com/shannak-chen/CNLC) |
| CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis | Lan Jiang | [code](https://github.com/SeeMeInCrown/CoLa_Diff_MultiModal_MRI_Synthesis) |
| Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration | Yang Liu | [code](https://github.com/brain-intelligence-lab/GIRNet) |
| Collaborative modality generation and tissue segmentation for early-developing macaque brain MR images | Xueyang Wu | [code](https://github.com/XueyangWWW/CSGF) |
| COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation | Han Liu | [code](https://github.com/han-liu/COLosSAL) |
| Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation | Li Pan | [code](https://github.com/jhonP-Li/MRC_VFC) |
| Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning | Bingzhi Chen | [code](https://github.com/Binz-Chen/MICCAI2023_SSCL) |
| Community-Aware Transformer for Autism Prediction in fMRI Connectome | Anushree Bannadabhavi | [code](https://github.com/ubc-tea/Com-BrainTF) |
| Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation | Xinrong Hu | [code](https://github.com/xhu248/cond_ddpm_wsss) |
| Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction | Qiang Ma | [code](https://github.com/m-qiang/CoTAN) |
| Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation | Qingyue Wei | [code](https://github.com/yulequan/UA-MT/tree/88ed29ad794f877122e542a7fa9505a76fa83515/data) |
| Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation | Zheang Huai | [code](https://github.com/xmed-lab/CPR) |
| Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction | Zeyu Han | [code](https://github.com/Show-han/PET-Reconstruction) |
| Contrastive Feature Decoupling for Weakly-supervised Disease Detection | Jhih-Ciang Wu | [code](https://github.com/Jhih-Ciang/PANDA-MIL) |
| Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning | Cheng Chen | [code](https://github.com/cchen-cc/CMITM) |
| ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation | Xian Lin | [code](https://github.com/xianlin7/ConvFormer) |
| cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations | Silvia D. Almeida | [code](https://github.com/MIC-DKFZ/cOOpD) |
| Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation | Shengbo Gao | [code](https://github.com/Herschel555/CAML) |
| CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography | Yuehui Qiu | [code](https://github.com/YH-Qiu/CorSegRec) |
| CortexMorph: fast cortical thickness estimation via diffeomorphic registration using VoxelMorph | Richard McKinley | [code](https://github.com/SCAN-NRAD/CortexMorph) |
| COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities | Eduard Lloret Carbonell | [code](https://github.com/edurbi/MICCAI2023) |
| Cross-adversarial local distribution regularization for semi-supervised medical image segmentation | Thanh Nguyen-Duc | [code](https://github.com/PotatoThanh/Cross-adversarial-local-distribution-regularization) |
| Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos | Jay N. Paranjape | [code](https://github.com/JayParanjape/Barlow-Adaptor) |
| Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification | Amandeep Kumar | [code](https://github.com/VIROBO-15/XM-GAN) |
| CT Kernel Conversion Using Multi-Domain Image-to-Image Translation with Generator-Guided Contrastive Learning | Changyong Choi | [code](https://github.com/cychoi97/GGCL) |
| CTFlow: Mitigating Effects of Computed Tomography Acquisition and Reconstruction with Normalizing Flows | Leihao Wei | [code](https://github.com/hsu-lab/ctflow) |
| CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training | Kihyun You | [code](https://github.com/kakaobrain/cxr-clip) |
| CycleSTTN: A Learning-Based Temporal Model for Specular Augmentation in Endoscopy | Rema Daher | [code](https://github.com/RemaDaher/CycleSTTN) |
| DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation | Shengcong Chen | [code](https://github.com/csccsccsccsc/DARC) |
| DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs | Gianpaolo Bontempo | [code](https://github.com/aimagelab/mil4wsi) |
| Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models | Mitchell Pavlak | [code](https://github.com/mpavlak25/data-audit) |
| DBTrans: A Dual-Branch Vision Transformer for Multi-modal Brain Tumor Segmentation | Xinyi Zeng | [code](https://github.com/Aru321/DBTrans) |
| Decoupled Consistency for Semi-supervised Medical Image Segmentation | Faquan Chen | [code](https://github.com/wxfaaaaa/DCNet) |
| DeDA: Deep Directed Accumulator | Hang Zhang | [code](https://github.com/tinymilky/DeDA) |
| Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning | Martin Huber | [code](https://github.com/RViMLab/homography_imitation_learning) |
| Deep Learning for Tumor-associated Stroma Identification in Prostate Histopathology Slides | Zichen Wang | [code](https://github.com/zcwang0702/DeepFieldEffect_StromaNet) |
| Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy | Kai Packh?user | [code](https://github.com/kaipackhaeuser/PriCheXy-Net) |
| Deep Mutual Distillation for Semi-Supervised Medical Image Segmentation | Yushan Xie | [code](https://github.com/SilenceMonk/Dual-Mutual-Distillation) |
| Deep unsupervised clustering for conditional identification of subgroups within a digital pathology image set | Mariia Sidulova | [code](https://github.com/DIDSR/DomId) |
| DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics | Md Asadullah Turja | [code](https://github.com/mturja-vf-ic-bd/DeepGraphDMD) |
| DeepSOZ: A Robust Deep Model for Joint Temporal and Spatial Seizure Onset Localization from Multichannel EEG Data | Deeksha M. Shama | [code](https://github.com/deeksha-ms/DeepSOZ.git) |
| Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning | Ruining Deng | [code](https://github.com/hrlblab/MolecularEL) |
| Deployment of Image Analysis Algorithms under Prevalence Shifts | Patrick Godau | [code](https://github.com/IMSY-DKFZ/prevalence-shifts) |
| Detecting the Sensing Area of A Laparoscopic Probe in Minimally Invasive Cancer Surgery | Baoru Huang | [code](https://github.com/br0202/Sensing_area_detection.git) |
| Detection-free Pipeline for Cervical Cancer Screening of Whole Slide Images | Maosong Cao | [code](https://github.com/thebestannie/Detection-free-MICCAI2023) |
| Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images | Meiyu Li | [code](https://github.com/limy-ulab/US-SEG) |
| Development and Fast Transferring of General Connectivity-based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-learner | Yuxiao Liu | [code](https://github.com/dasklarleo/fMRI_meta/tree/main) |
| Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation | Shishuai Hu | [code](https://github.com/ShishuaiHu/CCSDG) |
| DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation | Haonan Wang | [code](https://github.com/xmed-lab/DHC) |
| Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels | Zifu Wang | [code](https://github.com/zifuwanggg/JDTLosses) |
| DiffDP: Radiotherapy Dose Prediction via a Diffusion Model | Zhenghao Feng | [code](https://github.com/scufzh/DiffDP) |
| Differentiable Beamforming for Ultrasound Autofocusing | Walter Simson | [code](https://github.com/waltsims/dbua) |
| DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification | Yijun Yang | [code](https://github.com/scott-yjyang/DiffMIC) |
| DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets | Hyun-Jic Oh | [code](https://github.com/hvcl/DiffMix) |
| DiffULD: Diffusive Universal Lesion Detection | Peiang Zhao | [code](https://github.com/momopusheen/DiffULD) |
| Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI | Tianxu Lv | [code](https://github.com/Medical-AI-Lab-of-JNU/DKM) |
| Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays | Ibrahim Ethem Hamamci | [code](https://github.com/ibrahimethemhamamci/DENTEX) |
| DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration | Matteo Ronchetti | [code](https://github.com/ImFusionGmbH/DISA-universal-multimodal-registration) |
| DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning | Xin Wang | [code](https://github.com/xinwangxinwang/DisAsymNet) |
| DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution | Ye Mao | [code](https://github.com/Yebulabula/DisC-Diff) |
| Distilling BlackBox to Interpretable models for Efficient Transfer Learning | Shantanu Ghosh | [code](https://github.com/batmanlab/MICCAI-2023-Route-interpret-repeat-CXRs#downloading-data) |
| Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI | Boran Hao | [code](https://github.com/noc-lab/drl_mri) |
| DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction | Xiaoxiao He | [code](https://github.com/hexiaoxiao-cs/DMCVR) |
| Do we really need that skip-connection? Understanding its interplay with task complexity | Amith Kamath | [code](https://github.com/amithjkamath/to_skip_or_not) |
| Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training | Negin Ghamsarian | [code](https://github.com/Negin-Ghamsarian/Transformation-Invariant-Self-Training-MICCAI23) |
| Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI | Henry F. J. Tregidgo | [code](https://github.com/htregidgo/joint_diffusion_structural_seg) |
| Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation | Elias R¨¹fenacht | [code](https://github.com/ruefene/doselo) |
| DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis | Zhiwen Yang | [code](https://github.com/Yaziwel/Multi-Center-PET-Image-Synthesis) |
| Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRI | Jiamiao Zhang | [code](https://github.com/jmzhang79/Dual-ArbNet) |
| Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos | Divyanshu Mishra | [code](https://github.com/FetalUltrasound/DCDM) |
| Dual Domain Motion Artifacts Correction for MR Imaging Under Guidance of K-space Uncertainty | Jiazhen Wang | [code](https://github.com/Jiazhen-Wang/D2MC-Net-main) |
| Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification | Chaoyi Li | [code](https://github.com/Joey2117/DCLU) |
| Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases | Shuting Liu | [code](https://github.com/fightingkitty/MHGSA) |
| Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN using T1-MRI | Yilin Leng | [code](https://github.com/Leng-10/DH-ProGCN) |
| EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms | Masoud Mokhtari | [code](https://github.com/MasoudMo/echoglad) |
| ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification | Yilan Zhang | [code](https://github.com/zylbuaa/ECL.git) |
| EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation | Md Abdul Kadir | [code](https://github.com/Mak-Ta-Reque/EdgeAL) |
| EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness | Haolin Yuan | [code](https://github.com/Haolin-Yuan/EdgeMixup) |
| Efficient Subclass Segmentation in Medical Images | Linrui Dai | [code](https://github.com/OvO1111/EfficientSubclassLearning) |
| EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation | Jiacheng Ruan | [code](https://github.com/JCruan519/EGE-UNet) |
| Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation | Maximilian Rohleder | [code](https://github.com/maxrohleder/FUME) |
| Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning | Aditya Murali | [code](https://github.com/CAMMA-public/SurgLatentGraph) |
| EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos | Ruyi Zha | [code](https://github.com/Ruyi-Zha/endosurf.git) |
| EoFormer: Edge-oriented Transformer for Brain Tumor Segmentation | Dong She | [code](https://github.com/sd0809/EoFormer) |
| EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition | Siyuan Yan | [code](https://github.com/jeremykawahara/derm7pt) |
| Estimated time to surgical procedure completion: An exploration of video analysis methods | Barak Ariel | [code](https://github.com/theator/etc) |
| Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images | Wei Fu | [code](https://github.com/KellaDoe/ERNN) |
| Evolutionary normalization optimization boosts semantic segmentation network performance | Luisa Neubig | [code](https://github.com/neuluna/ga-unet) |
| Explainable Image Classification with Improved Trustworthiness for Tissue Characterisation | Alfie Roddan | [code](https://github.com/alfieroddan/Explainable-Image-Classification) |
| Exploring Brain Function-Structure Connectome Skeleton via Self-Supervised Graph-Transformer Approach | Yanqing Kang | [code](https://github.com/kang105/TSGR) |
| Exploring Unsupervised Cell Recognition with Prior Self-activation Maps | Pingyi Chen | [code](https://github.com/cpystan/PSM) |
| Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen | Chong Wang | [code](https://github.com/code-Porunacabeza/gaze_seg/) |
| Factor Space and Spectrum for Medical Hyperspectral Image Segmentation | Boxiang Yun | [code](https://github.com/boxiangyun/Dual-Stream-MHSI) |
| FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification | Zikang Xu | [code](https://github.com/XuZikang/FairAdaBN) |
| Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs | Thomas Pinetz | [code](https://github.com/tpinetz/low-dose-gadolinium-mri-synthesis) |
| Fast Reconstruction for Deep Learning PET Head Motion Correction | Tianyi Zeng | [code](https://github.com/OnofreyLab/dl-hmc_fast_recon_miccai2023) |
| Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis | Hadrien Reynaud | [code](https://github.com/HReynaud/EchoDiffusion) |
| FEDD - Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification | He?ctor Carrio?n | [code](https://github.com/hectorcarrion/fedd) |
| FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification | Nannan Wu | [code](https://github.com/wnn2000/FedIIC) |
| FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation | Minghui Chen | [code](https://github.com/ubc-tea/FedSoup) |
| FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis | Dongdong Chen | [code](https://github.com/haijunkenan/FE-STGNN) |
| FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling | Faris Almalik | [code](https://github.com/faresmalik/FeSViBS) |
| Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer | Yazhou Zhu | [code](https://github.com/YazhouZhu19/RPT) |
| Fine-grained Hand Bone Segmentation via Adaptive Multi-dimensional Convolutional Network and Anatomy-constraint Loss | Bolun Zeng | [code](https://github.com/BL-Zeng/AMCNet) |
| Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning | Chen Shen | [code](https://github.com/ladderlab-xjtu/forensic_pathology) |
| Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train | Zhao Wang | [code](https://github.com/openmedlab/Endo-FM) |
| FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction | Chenglong Ma | [code](https://github.com/Masaaki-75/freeseed) |
| Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation | Asif Hanif | [code](https://github.com/asif-hanif/vafa) |
| Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation | Heng Li | [code](https://github.com/liamheng/Non-IID_Medical_Image_Segmentation) |
| From Mesh Completion to AI Designed Crown | Golriz Hosseinimanesh | [code](https://github.com/Golriz-code/DMC.git) |
| FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images | Yi Qin | [code](https://github.com/xmed-lab/FSDiffReg.git) |
| Fully Bayesian VIB-DeepSSM | Jadie Adams | [code](https://github.com/jadie1/BVIB-DeepSSM) |
| Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images | Lehan Wang | [code](https://github.com/li-xirong/mmc-amd) |
| Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization | Amine Amyar | [code](https://github.com/HMS-CardiacMR/Myocardial_Scar_Detection) |
| Gall Bladder Cancer Detection from US Images with Only Image Level Labels | Soumen Basu | [code](https://gbc-iitd.github.io/gbcu) |
| Gene-induced Multimodal Pre-training for Image-omic Classification | Ting Jin | [code](https://github.com/huangwudiduan/GIMP) |
| Geometry-adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders | Zailiang Chen | [code](https://github.com/Meteorary/GALA) |
| GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation | Ziyang Zheng | [code](https://github.com/xmed-lab/GL-Fusion) |
| GLSFormer : Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos | Nisarg A. Shah | [code](https://github.com/nisargshah1999/GLSFormer) |
| GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging | Ruipeng Zhang | [code](https://github.com/MediaBrain-SJTU/GPFL-GRACE) |
| GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration | Haoran Dou | [code](https://github.com/wulalago/GSMorph) |
| Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images | Zdravko Marinov | [code](https://github.com/Zrrr1997/Guiding-The-Guidance) |
| H2GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment | Zhibin He | [code](https://github.com/CUHK-AIM-Group/HHGM) |
| HACL-Net: Hierarchical Attention and Contrastive Learning Network for MRI-Based Placenta Accreta Spectrum Diagnosis | Mingxuan Lu | [code](https://github.com/LouieBHLu/HACL-Net) |
| HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis | Lanzhuju Mei | [code](https://github.com/ShanghaiTech-IMPACT/Periodental_Disease) |
| H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation | Jun Shi | [code](https://github.com/shijun18/H-DenseFormer) |
| HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images | Wenqi Zhou | [code](https://github.com/CODESofWenqi/HENet) |
| Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images | Amarachi B. Mbakwe | [code](https://github.com/PLAN-Lab/CheXRelFormer) |
| High-Quality Virtual Single-Viewpoint Surgical Video: Geometric Autocalibration of Multiple Cameras in Surgical Lights | Yuna Kato | [code](https://github.com/isogawalab/SingleViewSurgicalVideo) |
| High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers | Marek Wodzinski | [code](https://github.com/MWod/DeepImplant_MICCAI_2023) |
| HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis | Ziyu Guo | [code](https://github.com/HKU-MedAI/HIGT) |
| Histopathology Image Classification using Deep Manifold Contrastive Learning | Jing Wei Tan | [code](https://github.com/hvcl/Deep-Manifold-Contrastive-Learning) |
| How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers? | Gregory Holste | [code](https://github.com/VITA-Group/PruneCXR) |
| How Reliable are the Metrics Used for Assessing Reliability in Medical Imaging? | Mayank Gupta | [code](https://github.com/MayankGupta73/Robust-Calibration) |
| IIB-MIL: Integrated instance-level and bag-level multiple instances learning with label disambiguation for pathological image analysis | Qin Ren | [code](https://github.com/TencentAILabHealthcare/IIB-MIL) |
| Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts | Chenyu You | [code](https://github.com/charlesyou999648/MORSE) |
| Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brain | Michal Byra | [code](https://gene-atlas.brainminds.jp/) |
| Improved Multi-Shot Diffusion-Weighted MRI with Zero-Shot Self-Supervised Learning Reconstruction | Jaejin Cho | [code](https://github.com/jaejin-cho/miccai2023) |
| Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function | Shijia Zhou | [code](https://github.com/DasuberVetLeonidas/SwooshActivationFunction) |
| Incomplete Multimodal Learning for Visual Acuity Prediction after Cataract Surgery Using Masked Self-Attention | Qian Zhou | [code](https://github.com/liyiersan/MSA) |
| Instructive Feature Enhancement for Dichotomous Medical Image Segmentation | Lian Liu | [code](https://github.com/yezi-66/IFE) |
| Interpretable Medical Image Classification using Prototype Learning and Privileged Information | Luisa Gall¨¦e | [code](https://github.com/XRad-Ulm/Proto-Caps) |
| Intraoperative CT augmentation for needle-based liver interventions | Sidaty El hadramy | [code](https://github.com/Sidaty1/Intraoperative_CT_augmentation) |
| Inverse Consistency by Construction for Multistep Deep Registration | Hastings Greer | [code](https://github.com/uncbiag/ByConstructionICON) |
| InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model | Jueqi Wang | [code](https://github.com/BioMedAI-UCSC/InverseSR) |
| Ischemic stroke segmentation from a cross-domain representation in multimodal diffusion studies | Santiago G¨®mez | [code](https://gitlab.com/bivl2ab/research/2023-cross-domain-stroke-segmentation) |
| Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification | Hongyi Wang | [code](https://github.com/Dootmaan/ICMIL) |
| Joint Dense-Point Representation for Contour-Aware Graph Segmentation | Kit Mills Bransby | [code](https://github.com/kitbransby/Joint_Graph_Segmentation) |
| Joint optimization of a ¦Â-VAE for ECG task-specific feature extraction | Viktor van der Valk | [code](https://github.com/ViktorvdValk/Task-Specific-VAE) |
| Joint Segmentation and Sub-Pixel Localization in Structured Light Laryngoscopy | Jann-Ole Henningson | [code](https://github.com/Henningson/HLEDataset) |
| Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training | Xiaofei Chen | [code](https://github.com/ChenXiaoFei-CS/KoBo) |
| Label-preserving Data Augmentation in Latent Space for Diabetic Retinopathy Recognition | Zhihao Zhao | [code](https://github.com/AIEyeSystem/LpDA) |
| LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms | Ege ?zsoy | [code](https://github.com/egeozsoy/4D-OR) |
| Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection | Reza Azad | [code](https://github.com/mindflow-institue/Laplacian-Former) |
| Learnable Query Initialization for Surgical Instrument Instance Segmentation | Rohan Raju Dhanakshirur | [code](https://github.com/AINeurosurgery/Learnable-QPD-for-maskDINO) |
| Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis | Dongdong Chen | [code](https://github.com/haijunkenan/LSGNN) |
| Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction | Chi Ding | [code](https://github.com/chrisdcs/LAMA-Learned-Alternating-Minimization-Algorithm) |
| Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis | Xiang Tang | [code](https://github.com/seuzjj/ACIFBN) |
| Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction | Yiqun Lin | [code](https://github.com/xmed-lab/DIF-Net) |
| Learning Expected Appearances for Intraoperative Registration during Neurosurgery | Nazim Haouchine | [code](https://github.com/rouge1616/ExApp/) |
| Learning normal asymmetry representations for homologous brain structures | Duilio Deangeli | [code](https://github.com/duiliod/DeepNORHA) |
| Learning Ontology-based Hierarchical Structural Relationship for Whole Brain Segmentation | Junyan Lyu | [code](https://github.com/CRazorback/OHSR) |
| Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation | Nilesh Kumar | [code](https://github.com/nileshkumar0726/Learning_Transformations) |
| Learning with Domain-Knowledge for Generalizable Prediction of Alzheimer’s Disease from Multi-Site Structural MRI | Yanjie Zhou | [code](https://github.com/Yanjie-Z/DomainKnowledge4AD) |
| Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images | Xinyi Yang | [code](https://github.com/xyang258/livdetSDG) |
| Lesion-aware Contrastive Learning for Diabetic Retinopathy Diagnosis | Shuai Cheng | [code](https://github.com/IntelliDAL/Image) |
| LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion | Long Bai | [code](https://github.com/longbai1006/LLCaps) |
| Localized Questions in Medical Visual Question Answering | Sergio Tascon-Morales | [code](https://github.com/sergiotasconmorales/locvqa) |
| Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification | Thomas Z. Li | [code](https://github.com/MASILab/lmsignatures) |
| LOTUS: Learning to Optimize Task-based US representations | Yordanka Velikova | [code](https://github.com/danivelikova/lotus) |
| Low-dose CT image super-resolution network with dual-guidance feature distillation and dual-path content communication | Jianning Chi | [code](https://github.com/neu-szy/dual-guidance_LDCT_SR) |
| LSOR: Longitudinally-Consistent Self-Organized Representation Learning | Jiahong Ouyang | [code](https://github.com/ouyangjiahong/longitudinal-som-single-modality) |
| LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network | Tom¨¢? Chobola | [code](https://github.com/ctom2/lucyd-deconvolution/) |
| Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging | Ke Xiao | [code](https://github.com/Information-Fusion-Lab-Umass/CUSSP_UKB_MR) |
| Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks | Matthew Baugh | [code](https://github.com/matt-baugh/pytorch-poisson-image-editing) |
| Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images | Xinkai Zhao | [code](https://github.com/MoriLabNU/MFC) |
| Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering | Pengfei Li | [code](https://github.com/pengfeiliHEU/MUMC) |
| Maximum Entropy on Erroneous Predictions: Improving model calibration for medical image segmentation | Agostina J. Larrazabal | [code](https://github.com/agosl/Maximum-Entropy-on-Erroneous-Predictions/) |
| Maximum-entropy estimation of joint relaxation-diffusion distribution using multi-TE diffusion MRI | Lipeng Ning | [code](https://github.com/LipengNing/ME-RDD/tree/main/MICCAI_example) |
| MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images | Tianbao Liu | [code](https://github.com/SMU-MedicalVision/MDA-SR) |
| MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets | Siyi Du | [code](https://github.com/siyi-wind/MDViT) |
| Medical Boundary Diffusion Model for Skin Lesion Segmentation | Jiacheng Wang | [code](https://github.com/jcwang123/MBDiff) |
| MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation | Saikat Roy | [code](https://github.com/MIC-DKFZ/MedNeXt) |
| MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images | Hong Wang | [code](https://github.com/hongwang01/MEPNet) |
| Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer | Mingyuan Meng | [code](https://github.com/MungoMeng/Survival-XSurv) |
| Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy | Krithika Iyer | [code](https://github.com/iyerkrithika21/mesh2SSM_2023/tree/main) |
| MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging | Yixiong Chen | [code](https://github.com/jannisborn/covid19 ultrasound) |
| M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization | Che Liu | [code](https://github.com/cheliu-computation/m-flag-miccai2023) |
| M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision | Malo Alefsen | [code](https://github.com/MaloADBA/MGenSeg_2D) |
| Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection | Haojun Yu | [code](https://github.com/HaojunYu1998/UltraDet) |
| MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization | Yuan Bi | [code](https://github.com/yuan-12138/MI-SegNet) |
| Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping | Kazuya Nishimura | [code](https://github.com/naivete5656/MDPAFOF) |
| MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis | Michael Gadermayr | [code](https://gitlab.com/mgadermayr/mixupmil) |
| MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI | Weitong Zhang | [code](https://github.com/vito1820/MoCoSR) |
| Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks | Wei Liang | [code](https://github.com/IntelliDAL/Graph/tree/main/SMP-Net) |
| ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer | Haiqiao Wang | [code](https://github.com/ZAX130/SmileCode) |
| ModusGraph: Automated 3D and 4D Mesh Model Reconstruction from cine CMR with Improved Accuracy and Efficiency | Yu Deng | [code](https://github.com/MalikTeng/ModusGraph) |
| Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping | Qixiang Zhang | [code](https://github.com/xmed-lab/MSSG) |
| Motion Compensated Unsupervised Deep Learning for 5D MRI | Joseph Kettelkamp | [code](https://github.com/joseph-kettelkamp/5D_MRI) |
| MPBD-LSTM: A Predictive Model For Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans | Xueyang Li | [code](https://github.com/XueyangLiOSU/MPBD-LSTM) |
| MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities | Boqi Chen | [code](https://github.com/uncbiag/MRIS) |
| MulHiST: Multiple Histological Staining for Thick Biological Samples via Unsupervised Image-to-Image Translation | Lulin Shi | [code](https://github.com/TABLAB-HKUST/MulHiST) |
| Multi-Head Multi-Loss Model Calibration | Adrian Galdran | [code](https://github.com/agaldran/mhml_calibration) |
| Multimodal brain age estimation using interpretable adaptive population-graph learning | Kyriaki-Margarita Bintsi | [code](https://github.com/bintsi/adaptive-graph-learning) |
| Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study | Lu Zhang | [code](https://github.com/qidianzl/Multimodal-Deep-Fusion-in-Hyperbolic-Space) |
| Multi-modal Variational Autoencoders for normative modelling across multiple imaging modalities | Ana Lawry Aguila | [code](https://github.com/alawryaguila/multimodal-normative-models) |
| Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information | Qiangguo Jin | [code](https://github.com/qgking/MM-CL.git) |
| Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection | Aofan Jiang | [code](https://github.com/MediaBrain-SJTU/ECGAD) |
| Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image based Cancer Survival Prediction | Wentai Hou | [code](https://github.com/Baeksweety/superpixel_transformer) |
| Multi-shot Prototype Contrastive Learning and Semantic Reasoning for Medical Image Segmentation | Yuhui Song | [code](https://github.com/H51705/FSS_MPSNet) |
| MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation | Constantin Ulrich | [code](https://github.com/MIC-DKFZ/MultiTalent) |
| Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation | Yili Lin | [code](https://github.com/MurasakiLin/prompt-DA) |
| Multi-view Guidance for Self-supervised Monocular Depth Estimation on Laparoscopic Images via Spatio-temporal Correspondence | Wenda Li | [code](https://github.com/MoriLabNU/MGMDepthL) |
| Multi-View Vertebra Localization and Identification from CT Images | Han Wu | [code](https://github.com/ShanghaiTech-IMPACT/Multi-View-Vertebra-Localization-and-Identification-from-CT-Images) |
| NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models | Aman Shrivastava | [code](https://github.com/4m4n5/NASDM) |
| Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues | Chen Yang | [code](https://github.com/Loping151/LerPlane) |
| Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing | Xinzi He | [code](https://github.com/Novestars/Neural_Pre_Processing) |
| NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants | Chenyu Xue | [code](https://github.com/ladderlab-xjtu/NeuroExplainer) |
| NISF: Neural Implicit Segmentation Functions | Nil Stolt-Ans¨® | [code](https://github.com/NILOIDE/Implicit_segmentation) |
| Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration | Mingyuan Meng | [code](https://github.com/MungoMeng/Registration-NICE-Trans) |
| On the Relevance of Temporal Features for Medical Ultrasound Video Recognition | D. Hudson Smith | [code](https://github.com/MedAI-Clemson/pda_detection) |
| One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation | Myeongkyun Kang | [code](https://github.com/myeongkyunkang/FedISCA) |
| One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification | Xiangyu Zhao | [code](https://github.com/hsiangyuzhao/TBIOneShot) |
| Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models | Tom van Sonsbeek | [code](https://github.com/tjvsonsbeek/open-ended-medical-vqa) |
| Optimizing the 3D Plate Shape for Proximal Humerus Fractures | Marilyn Keller | [code](https://github.com/MarilynKeller/HumerusPlate) |
| Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning | Zheng Zhang | [code](https://github.com/ZhangZ7112/PVA-CAS) |
| Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction | Kexin Ding | [code](https://github.com/Cassie07/PathOmics) |
| PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction | Eyal Hanania | [code](https://github.com/eyalhana/PCMC-T1) |
| Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation | Benjamin D. Killeen | [code](https://github.com/benjamindkilleen/pelphix) |
| Pelvic Fracture Reduction Planning Based on Morphable Models and Structural Constraints | Sutuke Yibulayimu | [code](https://github.com/Sutuk/Clinical-data-on-pelvic-fractures) |
| Pelvic Fracture Segmentation Using a Multi-scale Distance-weighted Neural Network | Yanzhen Liu | [code](https://github.com/YzzLiu/FracSegNet) |
| Physics-based Decoding Improves Magnetic Resonance Fingerprinting | Juyeon Heo | [code](https://github.com/rmrisforbidden/CauMedical.git) |
| Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T | Junaid R. Rajput | [code](https://git5.cs.fau.de/rajput/picae) |
| Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance Elastography | Matthew Ragoza | [code](https://github.com/batmanlab/MRE-PINN) |
| Pick and Trace: Instance Segmentation for Filamentous Objects with a Recurrent Neural Network | Yi Liu | [code](https://github.com/VimsLab/DRIFT) |
| Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation | Yuncheng Yang | [code](https://github.com/EndoluminalSurgicalVision-IMR/CCFV) |
| PIViT: Large Deformation Image Registration with Pyramid-Iterative Vision Transformer | Tai Ma | [code](https://github.com/Torbjorn1997/PIViT) |
| PLD-AL: Pseudo-Label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images | Yucheng Tang | [code](https://github.com/CrystalWei626/PLD_AL) |
| PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents | Weixiong Lin | [code](https://github.com/WeixiongLin/PMC-CLIP) |
| Point Cloud Diffusion Models for Automatic Implant Generation | Paul Friedrich | [code](https://github.com/pfriedri/pcdiff-implant) |
| Polar-Net: A Clinical-Friendly Model for Alzheimer¡¯s Disease Detection in OCTA Images | Shouyue Liu | [code](https://github.com/iMED-Lab/Polar-Net-Pytorch.git) |
| Position-aware masked autoencoder for histopathology WSI representation learning | Kun Wu | [code](https://github.com/WkEEn/PAMA) |
| Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement | Jun Ma | [code](https://github.com/bowang-lab/DPM-MedImgEnhance) |
| Privacy-preserving Early Detection of Epileptic Seizures in Videos | Deval Mehta | [code](https://github.com/DevD1092/seizure-detection) |
| Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation | Tianyi Ling | [code](https://github.com/Seasonsling/PETNet) |
| Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening | Jiangdong Cai | [code](https://github.com/caijd2000/MICCAI2023-VVC-Screening) |
| Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning | Jingwei Zhang | [code](https://github.com/cvlab-stonybrook/PromptMIL) |
| ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography | Hooman Vaseli | [code](https://github.com/hooman007/ProtoASNet) |
| Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning | Zehua Ren | [code](https://github.com/ladderlab-xjtu/DeepPWML) |
| QCResUNet: Joint Subject-level and Voxel-level Prediction of Segmentation Quality | Peijie Qiu | [code](https://github.com/peijie-chiu/QC-ResUNet) |
| Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes | Weihang Dai | [code](https://github.com/xmed-lab/RIDL) |
| Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reporting | Chantal Pellegrini | [code](https://github.com/ChantalMP/Rad-ReStruct) |
| RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization | Tao Chen | [code](https://github.com/iMED-Lab/RBGnet-Pytorch.git) |
| RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection | Ming Kang | [code](https://github.com/mkang315/RCS-YOLO) |
| Realistic endoscopic illumination modeling for NeRF-based data generation | Dimitrios Psychogyios | [code](https://github.com/surgical-vision/REIM-NeRF) |
| Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation | Beilei Cui | [code](https://github.com/BeileiCui/MS-TFAL) |
| Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras | Mykhaylo Zayats | [code](https://github.com/IBM/DOT) |
| Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in Transoesophageal Echocardiography | Jialang Xu | [code](https://github.com/wzjialang/SR-AQA) |
| Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis | Thijs P. Kuipers | [code](https://github.com/ThijsKuipers1995/gconv) |
| Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture | Ye Wu | [code](https://github.com/dryewu/RDSI) |
| Reliable Multimodality Eye Disease Screening via Mixture of Student’s t Distributions | Ke Zou | [code](https://github.com/Cocofeat/EyeMoSt) |
| Representation, Alignment, Fusion: A Generic Transformer-based Framework for Multi-modal Glaucoma Recognition | You Zhou | [code](https://github.com/YouZhouRUC/MM-RAF) |
| Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data | Pramit Saha | [code](https://github.com/MedMNIST/MedMNIST) |
| Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models | Frederik Pahde | [code](https://github.com/maxdreyer/Reveal2Revise) |
| Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction | Yongsheng Pan | [code](https://github.com/YongshengPan/ASEG-for-PET2CT) |
| Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection | Cosmin I. Bercea | [code](https://github.com/ci-ber/PHANES) |
| Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery | Long Bai | [code](https://github.com/longbai1006/CS-VQLA) |
| Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology | Khondker Fariha Hossain | [code](https://github.com/FarihaHossain/SwinFSR) |
| Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? | Susu Sun | [code](https://github.com/ss-sun/right-for-the-wrong-reason) |
| Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach | Hannah Spitzer | [code](https://github.com/MELDProject/meld_graph) |
| Robust Cervical Abnormal Cell Detection via Distillation from Local-scale Consistency Refinement | Manman Fei | [code](https://github.com/feimanman/Cervical-Abnormal-Cell-Detection) |
| Robust estimation of the microstructure of the early developing brain using deep learning | Hamza Kebiri | [code](https://github.com/Medical-Image-Analysis-Laboratory/Perinatal_fODF_DL_estimation) |
| Robust Segmentation via Topology Violation Detection and Feature Synthesis | Liu Li | [code](https://github.com/smilell/Topology-aware-Segmentation-using-Euler-Characteristic) |
| Robust vertebra identification using simultaneous node and edge predicting Graph Neural Networks | Vincent B¨¹rgin | [code](https://github.com/ImFusionGmbH/VID-vertebra-identification-dataset) |
| S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation | An Wang | [code](https://github.com/lofrienger/S2ME) |
| S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences | Lennart Bastian | [code](https://github.com/alexanderbaumann99/S3M) |
| Scale Federated Learning for Label Set Mismatch in Medical Image Classification | Zhipeng Deng | [code](https://github.com/dzp2095/FedLSM) |
| Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation | Zhihao Li | [code](https://github.com/SplinterLi/SaTTCA) |
| Scaling Up 3D Kernels with Bayesian Frequency Re-Parameterization for Medical Image Segmentation | Ho Hin Lee | [code](https://github.com/MASILab/RepUX-Net) |
| SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans | Afsah Saleem | [code](https://github.com/AfsahS/Supervised-Contrastive-Ordinal-Loss-for-Ordinal-Regression) |
| SEDSkill: Surgical Events Driven Method for Skill Assessment from Thoracoscopic Surgical Videos | Xinpeng Ding | [code](https://github.com/xmed-lab/SEDSkill) |
| Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-level Supervision | Hansheng Li | [code](https://github.com/Lion-shine/Segment-Membranes-and-Nuclei-from-Histopathological-Images-via-Nuclei-Point-level-Supervision) |
| Segmentation Distortion: Quantifying Segmentation Uncertainty under Domain Shift via the Effects of Anomalous Activations | Jonathan Lennartz | [code](https://github.com/MedVisBonn/Segmentation-Distortion/) |
| Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network | Taro Hatsutani | [code](https://github.com/neheller/kits19/blob/master/LICENSE) |
| SegmentOR: Obtaining Efficient Operating Room Semantics Through Temporal Propagation | Lennart Bastian | [code](https://github.com/bastianlb/segmentOR) |
| Self-adaptive Adversarial Training for Robust Medical Segmentation | Fu Wang | [code](https://github.com/TrustAI/SEAT) |
| Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation | Zhenxi Zhang | [code](https://github.com/Medsemiseg/SCP-Net) |
| Self-distillation for surgical action recognition | Amine Yamlahi | [code](https://github.com/CAMMA-public/cholect45) |
| Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images | Chinmay Prabhakar | [code](https://github.com/chinmay5/ms_progression) |
| Self-supervised dense representation learning for live-cell microscopy with time arrow prediction | Benjamin Gallusser | [code](https://github.com/weigertlab/tarrow) |
| Self-Supervised Learning for Endoscopic Video Analysis | Roy Hirsch | [code](https://github.com/RoyHirsch/endossl) |
| Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET | Francesca De Benetti | [code](https://github.com/FrancescaDB/self_supervised_PBPK_modelling) |
| Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation | Jos¨¦ Morano | [code](https://github.com/j-morano/multimodal-ssl-fpn) |
| Self-Supervised MRI Reconstruction with Unrolled Diffusion Models | Yilmaz Korkmaz | [code](https://github.com/yilmazkorkmaz1/ssdiffrecon) |
| Semantic difference guidance for the uncertain boundary segmentation of CT left atrial appendage | Xin You | [code](https://github.com/AlexYouXin/LA-LAA-segmentation) |
| Semantic segmentation of surgical hyperspectral images under geometric domain shifts | Jan Sellner | [code](https://github.com/IMSY-DKFZ/htc) |
| Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation | Yuchen Yuan | [code](https://github.com/IsYuchenYuan/SSCI) |
| Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning | Hritam Basak | [code](https://github.com/hritam-98/GFDA-disentangled) |
| SFusion: Self-attention based N-to-One Multimodal Fusion Block | Zecheng Liu | [code](https://github.com/scut-cszcl/SFusion) |
| Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention | Zhiwei Deng | [code](https://github.com/dengchihwei/LCNetVesselSeg) |
| Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos | Junhao Lin | [code](https://github.com/jhl-Det/FLA-Net) |
| SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image | Luyuan Xie | [code](https://github.com/xiely-123/SHISRCNet) |
| SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI | Yuming Zhong | [code](https://github.com/Abner228/SmileCode) |
| Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations | Julian McGinnis | [code](https://github.com/jqmcginnis/multi_contrast_inr/) |
| Skin Lesion Correspondence Localization in Total Body Photography | Wei-Lun Huang | [code](https://github.com/weilunhuang-jhu/LesionCorrespondenceTBP3D) |
| SLPD: Slide-level Prototypical Distillation for WSIs | Zhimiao Yu | [code](https://github.com/Carboxy/SLPD) |
| Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection | Yunan Wu | [code](https://github.com/YunanWu2168/SA-MIL) |
| Solving Low-Dose CT Reconstruction via GAN with Local Coherence | Wenjie Liu | [code](https://github.com/lwjie595/GANLC) |
| Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning | Qinji Yu | [code](https://github.com/CSCYQJ/MICCAI23-ProtoContra-SFDA) |
| Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher | Longxiang Tang | [code](https://github.com/lloongx/SFDA-CBMT) |
| Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation | Jiajin Zhang | [code](https://github.com/RPIDIAL/SAMix) |
| Spinal nerve segmentation method and dataset construction in endoscopic surgical scenarios | Shaowu Peng | [code](https://github.com/zzzzzzpc/FUnet) |
| STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients using Spatiotemporal Analysis and Transformer-Based Radiomics Models. | Rohan Dhamdhere | [code](https://github.com/rohand24/STAR_Echo) |
| Structured State Space Models for Multiple Instance Learning in Digital Pathology | Leo Fillioux | [code](https://github.com/MICS-Lab/s4_digital_pathology) |
| Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation | Minh Hieu Phan | [code](https://github.com/HieuPhan33/MaskGAN) |
| Style-based Manifold for Weakly-supervised Disease Characteristic Discovery | Siyu Liu | [code](https://github.com/SiyuLiu0329/DiDiGAN-final) |
| Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions | Saurav Sharma | [code](https://github.com/CAMMA-public/mcit-ig) |
| Surgical Video Captioning with Mutual-Modal Concept Alignment | Zhen Chen | [code](https://github.com/franciszchen/SCA-Net) |
| SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery | Lalithkumar Seenivasan | [code](https://github.com/lalithjets/SurgicalGPT) |
| SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation | Yiqing Wang | [code](https://github.com/UCSC-VLAA/SwinMM/) |
| SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation | Yufan He | [code](https://github.com/Project-MONAI/MONAI/blob/dev/monai/networks/nets/swin_unetr.py) |
| SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings | Yejia Zhang | [code](https://github.com/charzharr/miccai23-swipe-implicit-segmentation/blob/master/README.md) |
| Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism | Tianyu Zhang | [code](https://github.com/Netherlands-Cancer-Institute/CE-MRI) |
| Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models | Yannik Frisch | [code](https://github.com/MECLabTUDA/CataSynth) |
| Synthetic Augmentation with Large-scale Unconditional Pre-training | Jiarong Ye | [code](https://github.com/AdalbertoCq/Pathology-GAN) |
| TabAttention: Learning Attention Conditionally on Tabular Data | Michal K. Grzeszczyk | [code](https://github.com/SanoScience/Tab-Attention) |
| TCL: Triplet Consistent Learning for Odometry Estimation of Monocular Endoscope | Hao Yue | [code](https://github.com/EndoluminalSurgicalVision-IMR/TCL) |
| Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets | Dilek M. Yalcinkaya | [code](https://github.com/dyalcink/dQC) |
| Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI | Prasun C. Tripathi | [code](https://github.com/prasunc/PAWP) |
| Text-guided Foundation Model Adaptation for Pathological Image Classification | Yunkun Zhang | [code](https://github.com/Yunkun-Zhang/CITE) |
| The Role of Subgroup Separability in Group-Fair Medical Image Classification | Charles Jones | [code](https://github.com/mattgroh/fitzpatrick17k) |
| Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset | Ziqiao Weng | [code](https://github.com/M3DV/pulmonary-tree-repairing) |
| Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier | Zhixing Zhang | [code](https://github.com/zutsusemi/MICCAI2023-TopoLab-Labels/) |
| Topology-Preserving Computed Tomography Super-resolution Based on Dual-stream Diffusion Model | Yuetan Chu | [code](https://github.com/Arturia-Pendragon-Iris/UHRCT_SR) |
| Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis | Ching-Hao Chiu | [code](https://github.com/mattgroh/fitzpatrick17k) |
| Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing | Kazuma Kobayashi | [code](https://github.com/Kaz-K/medical-image-editing) |
| Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels | Zhe Xu | [code](https://github.com/yulequan/UA-MT/tree/master/data) |
| Towards frugal unsupervised detection of subtle abnormalities in medical imaging | Geoffroy Oudoumanessah | [code](https://github.com/geoffroyO/onlineEM) |
| Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains | Haoxuan Che | [code](https://github.com/chehx/DGDR) |
| TPRO: Text-prompting-based Weakly Supervised Histopathology Tissue Segmentation | Shaoteng Zhang | [code](https://github.com/zhangst431/TPRO) |
| Trackerless Volume Reconstruction from Intraoperative Ultrasound Images | Sidaty El hadramy | [code](https://github.com/Sidaty1/IVUS_Trakerless_Volume_Reconstruction) |
| Tracking adaptation to improve SuperPoint for 3D reconstruction in endoscopy | O. Leo?n Barbed | [code](https://github.com/LeonBP/SuperPointTrackingAdaptation) |
| Transferability-Guided Multi-Source Model Adaptation for Medical Image Segmentation | Chen Yang | [code](https://github.com/CityU-AIM-Group/TGMA) |
| Transformer-based Annotation Bias-aware Medical Image Segmentation | Zehui Liao | [code](https://github.com/Merrical/TAB) |
| Transformer-based end-to-end classification of variable-length volumetric data | Marzieh Oghbaie | [code](https://github.com/marziehoghbaie/VLFAT) |
| TransLiver: A Hybrid Transformer Model for Multi-phase Liver Lesion Classification | Xierui Wang | [code](https://github.com/sherrydoge/TransLiver) |
| TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation | Zhenqi He | [code](https://github.com/zhenqi-he/transnuseg) |
| Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation | Ziyang Chen | [code](https://github.com/Chen-Ziyang/TriD) |
| Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer | Sara Arabyarmohammadi | [code](https://github.com/sarayar/TriAnGIL) |
| TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms | Jiaqi Cui | [code](https://github.com/gluucose/TriDoFormer) |
| Trust your neighbours: Penalty-based constraints for model calibration | Balamurali Murugesan | [code](https://github.com/Bala93/MarginLoss) |
| TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer | Huimin Xiong | [code](https://github.com/huiminxiong/TSegFormer) |
| Twelve-Lead ECG Reconstruction from Single-Lead Signals Using Generative Adversarial Networks | Jinho Joo | [code](https://github.com/knu-plml/ecg-recon) |
| Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images | Jiayi Zhu | [code](https://github.com/liuquande/SAML) |
| Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation | Kai Ren | [code](https://github.com/KarryRen/UML) |
| Understanding Silent Failures in Medical Image Classification | Till J. Bungert | [code](https://github.com/IML-DKFZ/sf-visuals) |
| Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations | Reuben Dorent | [code](https://github.com/ReubenDo/MHVAE) |
| Unified surface and volumetric inference on functional imaging data | Thomas F. Kirk | [code](https://github.com/tomfrankkirk/svb_evaluation) |
| UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner | Yiwen Ye | [code](https://github.com/yeerwen/UniSeg) |
| Unpaired Cross-modal Interaction Learning for COVID-19 Segmentation on Limited CT images | Qingbiao Guan | [code](https://github.com/GQBBBB/UCI) |
| Unsupervised 3D out-of-distribution detection with latent diffusion models | Mark S. Graham | [code](https://github.com/marksgraham/transformer-ood) |
| Unsupervised 3D registration through optimization-guided cyclical self-training | Alexander Bigalke | [code](https://github.com/multimodallearning/reg-cyclical-self-train) |
| Unsupervised classification of congenital inner ear malformations using DeepDiffusion for latent space representation | Paula L¨®pez Diez | [code](https://github.com/paulalopez10/Deep-Diffusion-Unsupervised-Classification-3D-Mesh) |
| Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features | Nurislam Tursynbek | [code](https://github.com/uncbiag/diffusion-3D-discovery) |
| Unsupervised Domain Adaptation for Anatomical Landmark Detection | Haibo Jin | [code](https://github.com/jhb86253817/UDA_Med_Landmark) |
| Unsupervised Domain Transfer with Conditional Invertible Neural Networks | Kris K. Dreher | [code](https://github.com/IMSY-DKFZ/UDT-cINN) |
| UOD: Universal One-shot Detection of Anatomical Landmarks | Heqin Zhu | [code](https://github.com/heqin-zhu/UOD_universal_oneshot_detection) |
| UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation | Wenjing Lu | [code](https://github.com/XiaoweiXu/Dataset_Type-B-Aortic-Dissection) |
| Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports | Qingqing Zhu | [code](https://github.com/CelestialShine/Longitudinal-Chest-X-Ray) |
| UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GAN | Zhaojie Fang | [code](https://github.com/Tinysqua/UWAT-GAN) |
| Vertex Correspondence in Cortical Surface Reconstruction | Anne-Marie Rickmann | [code](https://github.com/ai-med/V2CC) |
| VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis | Paula Feldman | [code](https://github.com/LIA-DiTella/VesselVAE) |
| VF-HM: Vision Loss Estimation using Fundus Photograph for High Myopia | Zipei Yan | [code](https://github.com/yanzipei/VF-HM) |
| VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation | Mohammad Mozafari | [code](https://github.com/sharif-ml-lab/visa-fss) |
| Vision Transformer based Multi-Class Lesion Detection in IVOCT | Zixuan Wang | [code](https://github.com/Shao1Fan/G-Swin-Transformer) |
| vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images | Mikhail Goncharov | [code](https://github.com/mishgon/vox2vec) |
| Wasserstein Distance-Preserving Vector Space of Persistent Homology | Tananun Songdechakraiwut | [code](https://github.com/topolearn) |
| Weakly Supervised Medical Image Segmentation via Superpixel-guided Scribble Walking and Class-wise Contrastive Regularization | Meng Zhou | [code](https://github.com/Lemonzhoumeng/SC-Net) |
| Weakly-supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery | Nahal Mirzaie | [code](https://github.com/rohban-lab/Drug-Efficiency-Estimation-with-Confidence-Score) |
| Weakly-supervised positional contrastive learning: application to cirrhosis classification | Emma Sarfati | [code](https://github.com/Guerbet-AI/wsp-contrastive) |
| WeakPolyp: You Only Look Bounding Box for Polyp Segmentation | Jun Wei | [code](https://github.com/weijun88/WeakPolyp) |
| What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection | Cosmin I. Bercea | [code](https://github.com/ci-ber/MorphAEus) |
| Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis | Chantal Pellegrini | [code](https://github.com/ChantalMP/Xplainer) |
| X-Ray to CT Rigid Registration Using Scene Coordinate Regression | Pragyan Shrestha | [code](https://github.com/Pragyanstha/SCR-Registration) |
| YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection | Yuncheng Jiang | [code](https://giana.grand-challenge.org/PolypDetection/) |
| You Don¡®t Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images | Xiaodan Xing | [code](https://github.com/ayanglab/MedSynAnalyzer) |
| Zero-shot Nuclei Detection via Visual-Language Pre-trained Models | Yongjian Wu | [code](https://github.com/wuyongjianCODE/VLPMNuD) |