Overview

Medical image analysis develops methods to detect disease, segment anatomy, track changes over time, reconstruct images, and estimate clinically useful measurements from modalities such as CT, MRI, X-rays, ultrasound, and retinal imaging. Common approaches include U-Net-style segmentation, transformers, self-supervised and foundation-model learning, multimodal vision-language systems, and methods that incorporate anatomical or physical constraints. Models are tested on tasks and benchmarks such as BraTS for brain tumors, ACDC for cardiac MRI, and EchoNet for echocardiography, with growing attention to external-site testing, calibration, and clinical workflow. A central challenge is that strong benchmark results may not transfer across scanners, hospitals, patient groups, or acquisition protocols, so reliable deployment requires better validation, uncertainty estimates, and safeguards against bias and privacy risks.

Latest papers

CardsList

291 papers27 papers in the last four weeks, down 13% on the four weeks before. 0.2% of all new papers.

  1. Targeted Deep Regression - Initial Applications in Whole-Body Water-Fat MRI in UK Biobank

    Oct 26, 2026Filip Marttala, Taro Langner, Johan Öfverstedt +4Medical Image AnalysisMagnetic Resonance Imaging

  2. End-to-end prostate lesion segmentation and detection from undersampled diffusion-weighted MRI

    Oct 24, 2026Lukas T. Rotkopf, Marco Schlimbach, Kevin Kröninger +4Medical Image AnalysisMedical Image Segmentation

  3. Beyond Discrete Tokens: Preserving Numerical Continuity in Medical Vision-Language Models

    Oct 23, 2026Dianye Huang, Jiamei Guo, Yue Zhou +5Medical Image AnalysisMedical VLMs

  4. VTRL-Med: Progressive Visual Refinement with Topology-Guided Regularization for Medical Image Clustering

    Oct 23, 2026Guangyu Meng, Pengfei Gu, Peixian Liang +3Deep ClusteringMedical Image Analysis

  5. OPTARI: An open-source software framework for clinical translation of optoacoustic imaging

    Oct 23, 2026Moritz Schillinger, Maximilian Bader, Adrian Buehler +4Photoacoustic TomographyMedical Imaging

  6. The Value of System 1 Models in Medicine

    Oct 22, 2026Xiufeng Yang, Konstantinos Vrettos, Zeineb Ben Chaaben +17Clinical Language Model EvaluationMultimodal Model Evaluation

  7. DuoPIC: Uncertainty-Aware Voxel-Level Digital Twins of Cerebral Perfusion with Transport PDEs in Acute Stroke

    Oct 20, 2026Anh Duong Tran, Quang-Anh N. D., Toan Sy Pham +4Digital TwinsMedical Image Analysis

  8. Quantifying privacy risks in foundation model representations of brain MRI

    Oct 14, 2026Imen Bajar, Héber Hwang Arcolezi, Antoine Boutet +2Medical Imaging Foundation ModelsPrivacy-Preserving ML

  9. Multimodal Medical Image Parsing with Task-Specific Low-Rank Adapters

    Oct 14, 2026Taha Sabir, Alberto Montero Molina, Thinh Quang Ly +3Medical Image AnalysisVLM Adaptation

  10. LiFUSE: Frequency-Spatial Unified Self-Supervised Pretraining for Liver Disease Analysis on Non-contrast CT

    Oct 13, 2026Hao Zhang, Yi Huang, Wei Liu +6Medical Image AnalysisMedical Image Representation Learning

  11. Spatiotemporal Recognition of Abdominal Wall Layers During Optical Trocar Entry

    Oct 10, 2026Shreeram Athreya, Andrew Melehy, Carter Prentice +4Medical Image AnalysisSurgical Video Understanding

  12. ContiLNN: Mitigating Slice Sampling Discontinuity with Liquid Neural Networks for Medical Image Restoration

    Oct 8, 2026Jialei He, Enhe Liu, Sifan Song +10Image RestorationMedical Image Analysis

  13. EchoDiST: Self-distillation-based joint learning for diffusion-conditioned echocardiographic myocardial motion estimation

    Oct 8, 2026Feiyue Qi, Xingyue Wei, Jianwen LuoMedical Image AnalysisEchocardiography

  14. 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

  15. Dual- versus Single-Suggestion AI Support for Radiographic Interpretation in Residents: Randomized Multireader Study

    Oct 7, 2026Lin Wu, Zhe Xu, Hongyi Wang +10AI-Assisted Decision MakingHuman-AI Collaboration

  16. Knee3DVLM: Dual-Sequence Full-Volume Vision-Language Modeling for Comprehensive Knee MRI Assessment

    Oct 6, 2026Maryam Baizhigitova, Andrew Seohwan Yu, Po-Hao Chen +7Medical ImagingMedical Image Analysis

  17. Cross-dataset harmonization for robust endoscopic image analysis

    Oct 5, 2026Romil Imtiaz, Dimitris K. IakovidisMedical Image AnalysisCross-Dataset Generalization

  18. An AI-Based Multi-Stage Approach for Androgenetic Alopecia Assessment from Low-Magnification Scalp Images

    Oct 1, 2026Mahmoud Raslan, Nada Omar, Omar Khaled +7Medical Image AnalysisMedical Diagnosis

  19. PhaseAT: Fourier Phase Adversarial Training for Medical Image Domain Generalization

    Oct 1, 2026Ahmed Sharshar, Asif Hanif, Naveen Kumar Kummari +2Adversarial TrainingData Augmentation

  20. MRI Super-Resolution with RCDM/WaveMix and Task-Aware Segmentation

    Sep 30, 2026Kavitha Viswanathan, Harsh Choudhary, Amit SethiMedical Image AnalysisMedical Image Super-Resolution

  21. Multi-Site Real-World Performance of Commercial AI for Pulmonary and Incidental Pulmonary Embolism Detection

    Sep 29, 2026Aawez Mansuri, Mohammadreza Chavoshi, Theodorus Dapamede +13Medical Image AnalysisMedical Image Anomaly Detection

  22. SentZero: An Enhanced Sentence-Centric Vision-Language Pretraining for Multi-Task Zero-Shot Chest X-Ray Analysis

    Sep 28, 2026Hangyul Yoon, Hyungyung Lee, Edward Choi +1Contrastive LearningRadiology VLMs

  23. Anatomy-Structured Hierarchical MIL for Weakly-Supervised Thoracic Disease Detection in Chest X-rays

    Sep 27, 2026Jeongin Kim, Sohyun Ahn, Seo Young Kang +6Chest X-Ray ClassificationMedical Image Analysis

  24. FOCUS: Benchmarking Retinal Model Generalization from Foundation Vision Encoders to Multimodal LLMs

    Sep 27, 2026David Restrepo, Chenwei Wu, Luis Filipe Nakayama +4Fairness in Medical Image ClassificationOphthalmic Image Analysis