Medical Image Representation Learning

Ask about this topic

Momentum

20 papers in the last four weeks, up 233% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 168

All topics
CardsList

  1. ΔΔRepresentation: Geometry Supervised Representation Learning of Phenotypes via Counterfactual Reasoning for Medical VLMs

    Oct 7, 2026Hao Wang, Qiwei Zeng, Jinghao Lin +6Medical Image Representation LearningMedical VLMs

    The University of Sydney · Shanghai Jiao Tong University · Northeastern University +1

  2. Geometry-Supervised Visual Representation Learning for Multi-Phenotype Lesion Interpretation in Medical VLMs

    Oct 7, 2026Hao Wang, Qiwei Zeng, Shuchang Ye +5Visual Representation LearningMedical Image Representation Learning

    The University of Sydney · Shanghai Jiao Tong University · Northeastern University

  3. Masked Feature Encoding for Large-Scale Whole Slide Image Representation

    Oct 7, 2026Haoyu He, Basile Tessier-Cloutier, Yang Wang +1Whole-Slide Image AnalysisMedical Image Representation Learning

    Department of Computer Science and Software Engineering (CSSE), Concordia University, Montreal, Canada · McGill University, Montreal, Canada · Mila – Quebec AI Institute, Montreal, Canada

  4. NeuroCBIR: A Fast and Accurate Image Retrieval System for Whole-Brain and Region-Specific MRI

    Oct 5, 2026Felix Nieto-del-Amor, Jingru Fu, J. -Sebastian Muehlboeck +3Medical Image Representation LearningBrain MRI

  5. EchoDino: A pediatric foundation model for transferable echocardiographic analysis across the lifespan

    Oct 4, 2026Sheng Cheng, Donnchadh M. O'Sullivan, Daniel J. Penny +3Medical Imaging Foundation ModelsSelf-Supervised Learning

    Department of Computer Science, Rice University, Houston, TX, USA · Division of Pediatric Cardiology, Baylor College of Medicine, Houston, TX, USA · Texas Children’s Hospital, Houston, TX, USA

  6. Surface-volume self-supervised representation learning of brain MRI for genetic discovery

    Oct 1, 2026Tian Xia, Nuo Chen, Zihao Zhu +4Self-Supervised LearningMedical Image Representation Learning

    D. Bradley McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, US. · Department of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, US. · Department of Electrical and Computer Engineering, Texas A&M University, College Station, US. +1

  7. PLRS-IC: A Dual-Calibration Framework for Chest X-Ray Vision-Language Alignment

    Sep 30, 2026Qixing Zhao, Jinpeng LiRadiology VLMsVision-Language Alignment

    South China University of Technology

  8. Med-RADIO: Reducing All Medical Domains Into One via Multi-Teacher Distillation

    Sep 29, 2026Chu Zhang, Haoyu Jiang, Hongyuan Zhang +2Medical Imaging Foundation ModelsMedical Image Classification

    Center for Artificial Intelligence and Robotics, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, Hong Kong, China

  9. HERO: Histology Encoder for Robust Representation in Oncology

    Sep 28, 2026Zhi Li, Eghbal Amidi, Yating Cheng +12Computational PathologyDomain Generalization

    Caris Life Sciences, Irving, TX, United States

  10. Role-Guided MOE for Encoder-Level Pathology Representation Learning in WSI Classification

    Sep 28, 2026Xinyu Ma, Xing Yang, Hongtao Jin +4Pathology Foundation ModelsMixture-of-Experts Models

    Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen 518172, China · Shenzhen People’s Hospital, Shenzhen 518020, China

  11. Natural Image Autoencoder-Based fMRI Representations for Trait and State Prediction

    Sep 28, 2026Juhyeon Park, Yeonwoo Kim, Peter Yongho Kim +5Medical Imaging Foundation ModelsfMRI Foundation Models

    IPAI, Seoul National University · Microsoft Research · ECE, Seoul National University +1

  12. ConPro: Contrast Projection Pretraining for Label-Efficient Vessel Segmentation in DSA Sequences

    Sep 24, 2026Xinge Guo, Yuanhao Wang, Liqi Shu +2Medical ImagingSemi-Supervised Medical Image Segmentation

    Duke University, Durham, NC, USA · Carnegie Mellon University, Pittsburgh, PA, USA · University of Pittsburgh Medical Center, Pittsburgh, PA, USA

  13. From ECG Signals to Representative-Morphology Heatmaps for Biometric Recognition

    Sep 23, 2026Athanasios Angelakis, Marta Gomez-BarreroBiometric IdentificationElectrocardiography

    BioML, Research Institute CODE, University of the Bundeswehr Munich, Munich, Germany · Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands

  14. nnFoundation: 3D Foundation Models for Radiology

    Sep 22, 2026Constantin Ulrich Harsy, Tassilo Wald, Karol Gotkowski +803D Foundation ModelsMedical Imaging Foundation Models

  15. Foundation model embeddings capture pre-diagnostic changes on screening mammograms

    Sep 22, 2026Kalina P. Slavkova, Eric Brattain, Aditya Gowd +6Breast CancerMedical Imaging Foundation Models

    HOPPR, Chicago, IL, USA · University of Utah School of Medicine, Salt Lake City, UT, USA · 4DMedical, Woodland Hills, CA, USA +1

  16. MiTHras: Task-specific Hierarchical Semi-supervised Contrastive Masked Autoencoder for Mitotic Figure Analysis

    Sep 21, 2026Trinh T. L. Vuong, Simon Graham, Quoc Dang Vu +5Contrastive LearningMasked Autoencoders

    Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, USA · Histofy Ltd, Coventry, United Kingdom · Department of Pathology, University Medical Center Ho Chi Minh City, Ho Chi Minh City, Vietnam +1

  17. What Makes a Good Medical Image Tokenizer? Rethinking Reconstruction and Generation in Medical Image Tokenization

    Sep 21, 2026Niklas Bubeck, Yundi Zhang, Vasiliki Sideri-Lampretsa +4Image TokenizationMedical Image Synthesis

    School of Computation, Information and Technology, Technical University of Munich, Germany · Munich Center for Machine Learning, Technical University of Munich, Germany · School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Germany +3

  18. Seeing Abnormal from Normal: Glomerular Abnormality in Representations of Normal Renal Morphology

    Sep 16, 2026Greta Hasko, Rachit Saluja, Tianyu Shi +11Medical Image Anomaly DetectionUnsupervised Anomaly Detection

    Cornell University, Ithaca, NY 14853, USA · Cornell Tech, New York, NY 10044, USA · Sichuan University, Chengdu, 610207, CN +6

  19. Which Pretext Task Transfers? Self-Supervised Pretraining Objectives for Lung Ultrasound

    Sep 15, 2026Moein Heidari, Junbo Rao, Jai Choraria +3Contrastive LearningMasked Autoencoders

    University of British Columbia, Vancouver, BC, Canada · Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA

  20. AlignUS: MRI-Guided Ultrasound Representation Learning for ALS Classification from Tongue Images

    Sep 14, 2026Kadija Abdel Ghader, Emani Babe, Lorenzo Pettinari +2Cross-Modal Knowledge DistillationUltrasound Imaging

    Unité de Recherche en Systèmes Intelligents Avancés (URSIA), Institut Supérieur du Numérique (SupNum), Nouakchott, Mauritanie · University of Basel, Basel, Switzerland

  21. Geometric-to-Semantic Spherical Transfer Learning for Cortical Sulci Labeling

    Sep 14, 2026Saeb Tounsi, Joël Chavas, Pietro Gori +3Self-Supervised Pre-TrainingGeometric Representation Learning

    Paris-Saclay University, CEA, NeuroSpin, Baobab, Saclay, France · LTCI, Télécom Paris, Institut Polytechnique de Paris, France

  22. Self-supervised Pre-training Helps Retinal Disease Progression Modelling Most When Data Is Scarce

    Sep 14, 2026Ifeoma Veronica Nwabufo, Julius Gervelmeyer, Sarah Müller +1Self-Supervised Pre-TrainingLongitudinal Medical Image Analysis

    Hertie Institute for AI in Brain Health, Faculty of Medicine, University of Tübingen, Germany · Tübingen AI Center, University of Tübingen, Germany

  23. SCDM: Spatial-Contextual Disentanglement Mamba via Differential Inference for Efficient Image Classification

    Sep 11, 2026Mustafa Bora Çelik, Hayriye Aktaş Dinçer, Ayse KelesVisual SSMsMedical Image Classification

    Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Ankara Medipol University, Ankara, Turkiye · School of Computer Science, University of Galway, Galway, Ireland

  24. A radiographic world model for clinical reasoning and evidence generation

    Sep 7, 2026Suyang Xi, Songtao Hu, Shansong Wang +8Chest X-Ray ClassificationRadiology VLMs

    Department of Computer Science and Informatics, Emory University, Atlanta, GA, USA. · Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, USA. · Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, USA. +2

  25. Synergistic Information Disentanglement for Omni-modal Slide Representation Learning in Computational Pathology

    Sep 2, 2026Mingxin Liu, Chengfei Cai, Anwen Lu +5Medical Image Representation LearningComputational Pathology

    Jiangsu Key Laboratory of Intelligent Medical Image Computing, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China · Jiangsu Key Laboratory of Intelligent Drug Screening and Repositioning, College of Information Engineering, Taizhou University, Taizhou, China · College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China

  26. Pix2Rep-v2: Data-Efficient Representation Learning for Dense Medical Imaging Applications

    Sep 1, 2026S. Sifaoui, E. Angelini, S. Toupin +2Representation LearningVisual Representation Learning

    LTCI, Télécom Paris, Institut Polytechnique de Paris, Palaiseau, France · MIRACL.ai Laboratory, Hôpital Universitaire Lariboisière (AP-HP), Paris, France · Université Paris Cité, Inserm MASCOT, Paris, France

  27. GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning

    Aug 12, 2026Vishnu M. Bashyam, Guray Erus, Junhao Wen +29Medical Imaging Foundation ModelsMulti-Task Learning

    Artificial Intelligence in Biomedical Imaging Lab, University of Pennsylvania · Department of Electrical and Systems Engineering, University of Pennsylvania · Florey Institute of Neuroscience and Mental Health, University of Melbourne +16

  28. Frozen Brain-MRI Foundation Models Are Site Fingerprints

    Aug 10, 2026Saman RahbarMedical ImagingMedical Imaging Foundation Models

    University of British Columbia, Vancouver, Canada

  29. Motion Artifact-Aware Self-Supervised Representation Learning for 3D Brain MRI Motion Artifact Reduction

    Aug 10, 2026Mojtaba Safari, Shansong Wang, Zach Eidex +4Magnetic Resonance ImagingMedical Image Representation Learning

    Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, USA · Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, USA · Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA +1

  30. P3CA: Encoder-Agnostic Interpretation of Vision Foundation Model Embeddings via Spatial Probing

    Aug 10, 2026Amoon Jamzad, Dilakshan Srikanthan, Faranak Akbarifar +2Vision Foundation ModelsRepresentation Probing

    School of Computing, Queen’s University, Kingston, Ontario, K7L 2N8, Canada

  31. Parcel2Progression: An Anatomy-aware Longitudinal Framework for Alzheimer's Disease Diagnosis

    Aug 9, 2026Madhumitha Venkatesh, Shanawaj S Madarkar, Konda Reddy MopuriLongitudinal Medical Image AnalysisAlzheimer's Disease Classification

    Indian Institute of Technology Hyderabad, India

  32. Implicit representations are dead. Long live explicit primitives!

    Aug 7, 2026Nil Stolt-Ansó, Maik Dannecker, Wenqi Huang +23DGS CompressionImplicit Neural Representations

    Technical University Munich, Germany · University of Zurich, Switzerland · Imperial College London, United Kingdom

  33. Representation-driven Endoscopic Visual Embedding Alignment for Latent Generation

    Aug 7, 2026Francisco Caetano, Tim J. M. Jaspers, Haiko Middeljans +7EndoscopyDiffusion Transformer

    Department of Electrical Engineering, ARIA Lab, Eindhoven University of Technology, Eindhoven, The Netherlands · Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands

  34. Do 3D Medical Foundation Models See Through MRI Artifacts? A Controlled Study of Representation Robustness

    Aug 6, 2026Julia Anna Mielcarz, Daniel Klaaby, Mostafa Mehdipour Ghazi3D Foundation ModelsMedical Imaging Foundation Models

    Pioneer Centre for AI, University of Copenhagen, Copenhagen, Denmark

  35. Big, Bright, or Invisible: A Frozen-Feature Benchmark of 3D CT Foundation Models

    Aug 6, 2026Maulik Chevli, Johannes Brandt, Rickmer Braren +23D Foundation ModelsMedical Imaging Foundation Models

    Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany · Dept. of Diagnostic and Interventional Radiology, UKE Hamburg, Germany · Dept. of Computing, Imperial College London, UK +1

  36. Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation

    Aug 6, 2026Théo Danielou, Antoine Saporta, Léo Alberge +1Medical Imaging Foundation ModelsMasked Autoencoders

    Raidium

  37. Segmentation Pre-training for Label-Efficient Lumbar Spine Degeneration Grading

    Aug 5, 2026Monzon Maria, Zisserman Andrew, Jutzeler Catherine R. +1Medical Image ClassificationMedical Image Representation Learning

    Biomedical Data Science Lab, Dept. D-HEST, ETH Zurich, Zurich, Switzerland · Swiss Institute of Bioinformatics (SIB), Lausanne, 1015, Switzerland · Visual Geometry Group, Dept. of Engineering Science, University of Oxford, UK

  38. EndoVLM: An Endoscopy Vision-Language Pre-training Model via Anatomy-Guided Sparsity and Progressive Alignment

    Aug 5, 2026Zhenyu Yi, Jianwei Xu, Yue Hu +6Medical Imaging Foundation ModelsMedical VLMs

    1DAMO Academy, Alibaba Group · 3Shanghai Jiao Tong University · 4Hupan Lab +3

  39. Self-supervised DXA representations encode multi-system disease risk, biological aging and heritability

    Aug 3, 2026Gil Sasson, Zachary Levine, Smadar Shilo +9Medical ImagingMedical Image Representation Learning

    Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel. · Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel-Aviv, Israel. · The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel. +5

  40. Location-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models

    Aug 2, 2026Myeongkyun Kang, Yanting Yang, Xiaoxiao LiMedical Imaging Foundation ModelsMedical Image Grounding

    The University of British Columbia · Vector Institute

  41. Semantically Calibrated Evidence Composition for CT Vision-Language Learning

    Jul 31, 2026Guoliang You, Haifan Gong, Xiaomeng ChuMedical VLMsMedical Image Grounding

    University of Pennsylvania · 2The Chinese University of Hong Kong, Shenzhen · 3Yale University

  42. Learning How Much, Not Just What: Cross-Patient Burden Order for CT Vision-Language Pretraining

    Jul 31, 2026Guoliang You, Haifan Gong, Xiaomeng ChuRepresentation LearningMedical Image Analysis

    University of Pennsylvania · The Chinese University of Hong Kong, Shenzhen · Yale University

  43. RadPRISM: Schema-stratified radiology-report supervision for concept-disentangled image representations and visual grounding

    Jul 31, 2026Fabian Drexel, Marlene Fritzsche, Era Stambollxhiu +15Chest X-Ray ClassificationDisentangled Representation Learning

    Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany · Technical University of Munich, School of Medicine and Health, TUM University Hospital, Klinikum rechts der Isar, Department of Diagnostic and Interventional Radiology, Munich, Germany · Department of Radiology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany +5

  44. What Carries the Signal in Pathology Foundation-Model Atlases? A Patient-Level Controlled Benchmark in Breast Cancer

    Jul 31, 2026Chimdi Walter NdubuisiBreast CancerComputational Pathology

    Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA

  45. A report-grounded vision-language foundation model for colonoscopy from 280000 routine reports

    Jul 30, 2026Jia Yu, Yan Zhu, Yili He +12EndoscopyMedical VLMs

    Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China. · Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China. · Shanghai Institute for Advanced Study of Zhejiang University, Shanghai, China. +5

  46. MUL-T: Decoding Spatial Cellular Architecture in Multiplexed Tissue Images

    Jul 30, 2026Farzaneh Seyedshahi, Kai Rakovic, Adalberto Claudio Quiros +2TransformerGenerative Modeling

    Cancer Research UK Scotland Institute, Glasgow, UK · University of Glasgow, Glasgow, UK

  47. MedXplore: Towards Reliable and Unbiased Generalized Category Discovery in Medical Imaging

    Jul 30, 2026Jianwei He, Kailin Lyu, Junhao Dong +6Medical Image Representation LearningGeneralized Category Discovery

    Institute of Automation, Chinese Academy of Sciences Beijing, China · Nanyang Technological University Singapore, Singapore

  48. SCALPEL: Semantic Cross-modal Alignment via LLM-Powered Encoder Learning for Medical Vision-Language Representation

    Jul 29, 2026Yunzhan Fu, Enyu Bao, Xiangyu Shen +4Radiology VLMsMedical VLMs

    School of Computer Science, Hangzhou Dianzi University, China

  49. PRISM-Net: Patient-specific reference-guided inter-breast symmetry matching for three-class breast DCE-MRI classification

    Jul 29, 2026Boya Zhang, Shuaiwen Zhou, Di Kong +7Medical Image AnalysisMedical Image Classification

    Nankai University, No. 94 Weijin Road, Nankai District, Tianjin, 300071, China · Zhongguancun Academy, Beijing, China · Beijing University of Posts and Telecommunications, Beijing, China +5

  50. Rad-JEPA 3D: Radiology Joint-Embedding Predictive Model for 3D Computed Tomography

    Jul 28, 2026Quoc-Huy Trinh, Minh-Van Nguyen, Ulas BagciMedical Imaging Foundation Models3D Medical Imaging

    Northwestern University · Technical University of Denmark

  51. Gaussian Volumetric Representation for Efficient Shear-Warp Visualization

    Jul 28, 2026Mayuri Mathur, Ojaswa SharmaScientific VisualizationMedical Image Representation Learning

    Indraprastha Institute of Information Technology Delhi · Indraprastha Institute of Information Technology Delhi, New Delhi, India

  52. OrganLens: Organ-Specific Representation Learning for CT Foundation Models

    Jul 28, 2026Zhixuan Ge, Anqi Li, Sadeer Al-Kindi +2Medical Imaging Foundation ModelsRepresentation Learning

    Rice University Houston, Texas, USA · Department of Cardiology DeBakey Heart and Vascular Center Houston, Texas, USA · University of Washington Seattle, Washington, USA

  53. Self-supervision drives representational convergence in medical foundation models more than clinical supervision

    Jul 22, 2026Soroosh Tayebi Arasteh, Sebastian Ziegelmayer, Mahshad Lotfinia +4Medical Imaging Foundation ModelsSelf-Supervised Pre-Training

    Lab for AI in Medicine, RWTH Aachen University, Aachen, Germany · Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany · Department of Diagnostic and Interventional Radiology, TUM University Clinic, School of Medicine and Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany +4

  54. Weakly Supervised Pathology-Informed Representation Learning for PET-Based Content Retrieval of Intra-Tumour Heterogeneity

    Jul 21, 2026Rajat Vashistha, Sandra Brosda, Lauren G. Aoude +8Cross-Modal Representation LearningOncology

    School of Human Movement and Nutrition Sciences, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia · 2Frazer Institute, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia · Department of Surgical Sciences, Uppsala University, Uppsala, Sweden. +2

  55. CANDOR: Chance-Calibrated Neighborhood Discordance in Frozen Encoders for Medical Imaging

    Jul 20, 2026Soroosh Tayebi Arasteh, Sven Nebelung, Daniel TruhnMedical Imaging Foundation ModelsAlgorithm Selection

    Lab for AI in Medicine, RWTH Aachen University, Aachen, Germany · Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany

  56. BrainNext: A General-Purpose Self-Supervised Foundation Model for Brain MRI Analysis

    Jul 20, 2026Moona Mazher, Abdul Qayyum, Steven A. Niederer +1Medical Imaging Foundation ModelsSelf-Supervised Pre-Training

    UCL Hawkes Institute, Department of Computer Science, University College London, London, United Kingdom · National Heart & Lung Institute, Imperial College London, London, United Kingdom · Division of Cardiovascular Medicine, Stanford Cardiovascular Institute, Stanford University, California, USA

  57. Benchmarking MRI Representations for Deep Learning-Based Focal Cortical Dysplasia Segmentation

    Jul 17, 2026Soumen Ghosh, John Phamnguyen, Amit Soni Arya +3Medical Image SegmentationMedical Image Representation Learning

    The University of Queensland, Brisbane, Australia · I-MED Radiology, Brisbane, Australia · Mater Hospital, Brisbane, Australia +4

  58. Multimodal Semantic-Aware Contrastive Learning For False Negative Mitigation in 3D Medical Imaging

    Jul 16, 2026Sara Ketabi, Matthias W. Wagner, Cynthia Hawkins +3Contrastive Learning3D Medical Imaging

    University of Toronto · The Hospital for Sick Children · University Hospital Augsburg +1

  59. Learning from Complementary Ultrasound Representations for Liver Disease Classification

    Jul 13, 2026Sabahattin Mert Daloglu, Gokce Bekar, Ceren Coskun +5Medical Image ClassificationUltrasound Imaging

    PONS Incorporated, Newark, NJ, USA · Department of Radiology, Mayo Clinic, Jacksonville, FL, USA · Department of Radiology, Department of Medicine, University of British Columbia, Vancouver, Canada

  60. Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification

    Jul 13, 2026Sabahattin Mert Daloglu, Ceren Coskun, Harvey Castro +2Graph Neural NetworksMedical Image Classification

    PONS Incorporated, Newark, NJ, USA · Department of Radiology, Department of Medicine, University of British Columbia, Vancouver, Canada