https://github.com/junma11/miccai-opensourcepapers
MICCAI 2019-2023 Open Source Papers
https://github.com/junma11/miccai-opensourcepapers
deep-learning medical-imaging
Last synced: 5 months 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 (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-11-01T20:25:08.000Z (over 2 years ago)
- Last Synced: 2025-01-28T15:49:31.521Z (over 1 year ago)
- Topics: deep-learning, medical-imaging
- Homepage:
- Size: 2.85 MB
- Stars: 1,258
- Watchers: 32
- Forks: 237
- Open Issues: 0
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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://gith