Overview

Medical image grounding studies how to connect clinical language—such as a finding in a report or an answer to a question—to the region, slice, or structure that provides visual evidence. This can make image-based diagnoses and reports easier to verify, and can reveal when a model gives a plausible answer without actually reading the image. Common approaches align reports with regions using weak supervision or boxes and masks, add anatomical priors and region prompts, or train vision-language models with grounding objectives, tools, and reinforcement learning. Benchmarks span chest X-rays, CT, MRI, ultrasound, and other modalities, but a central challenge remains: strong semantic answers do not guarantee precise localization, especially in 3D, across views, or under distribution shift.

Latest papers

CardsList

80 papers9 papers in the last four weeks, up 13% on the four weeks before. 0.1% of all new papers.

  1. Aligning Medical Vision Language Models at the Capability Boundary with Entropy Adaptive Rubric Grounding

    Oct 29, 2026Hongyu Bai, Jiaqi Zeng, Chunzheng ZhuMedical VLMsReasoning for VLMs

  2. PathCowork: Learning from real-world pathology practice to build AI copilots

    Oct 29, 2026Sheng Wang, Jialu Yao, Maria V. Rossi +22Medical AI AgentsComputational Pathology

  3. A Visual Grounding Benchmark for Retinal OCT with Multimodal Large Language Models

    Oct 22, 2026Ronald Fecso, José Morano, Botond Fazekas +6Medical VLMsMedical Image Grounding

  4. APED-CXR: Adaptive Privileged Evidence Distillation for Chest X-Ray Grounding with Image-Only Inference

    Oct 21, 2026Md Shihabul Islam Shovo, Nishi Kanta Paul, Jamil FayyadMedical Image GroundingAdaptive Knowledge Distillation

  5. Carving Radiology Reports at Their Evidential Joints: Anatomical Region Sets as Generation Units

    Oct 21, 2026Jinwei Yang, Junhao Chen, Jianwei Zhao +3Radiology Report GenerationMedical Image Grounding

  6. PACE-MoE: Adaptive Domain Sampling and Domain-Specific LoRA for Medical Visual Grounding

    Oct 20, 2026Zhenxuan Wang, Jisheng Dang, Ronghao Lin +6Medical Image GroundingAdaptive Sampling

  7. Text-Guided Medical Image Segmentation via Residual Aggregation and Dense Alignment Representations

    Oct 10, 2026Jie Gui, Hang Tu, Yunfeng Dou +3Text-Guided Image SegmentationPromptable Image Segmentation

  8. 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

  9. BrainTRACE: Tracing Longitudinal, Multimodal, and Volumetric Evidence in Brain MRI Clinical Reasoning

    Oct 5, 2026Qizhen Lan, Mengchen Fan, Hang Zhang +5VLM Evaluation3D Medical Imaging

  10. Scaling 3D Visual Grounding in Abdominal CT

    Oct 2, 2026Sam Church, Danyal Maqbool, Joshua D. Warner +4Medical Image Grounding3D Visual Grounding

  11. Learning Where to Look: Anatomical Grounding and Guided Attention for Cardiac MRI Vision-Language Models

    Sep 30, 2026Bangwei Guo, Xiao Chen, Boris Mailhe +8Medical VQAMedical Image Grounding

  12. Anatomical Grounding and Leakage-Aware Multimodal Contrastive Learning for Alzheimer's Disease Classification from Structural MRI

    Sep 14, 2026Paul-Gabriel Nicolae, Irina Georgiana MocanuData LeakageAlzheimer's Disease Classification

  13. Concept-Grounded Reasoning with Prompt-Driven Localization for Interpretable Structured Report Generation

    Sep 14, 2026Xinyue Xu, Hongbin Lin, Juangui Xu +6Radiology Report GenerationConcept Bottleneck Models

  14. MetaStructAtlas: A Grounded 3D Vision-Language Dataset and Benchmark for Functional and Structural Reasoning in Whole-Body PET/CT

    Sep 3, 2026Chenguang Zheng, Le Xue, Yichi Zhang +8PET/CT ImagingMedical VLMs

  15. AlphaRAD: Grounded Zero-Shot Classification in Chest Radiology via αα-Corrected Binary Cross Entropy and Factorized Latent Supervision

    Sep 1, 2026Jianzhong You, Yuan Gao, Chris McIntoshChest X-Ray ClassificationMedical Image Classification

  16. Instance-Guided Report Anchoring for Text-Free 3D Abnormality Segmentation in Chest CT

    Aug 31, 2026Zhenyu Bu, Haoyan Ding, Chushu Shen +7Medical Image Segmentation3D Medical Image Segmentation

  17. SlideBank: A Persistent Hierarchical Evidence Bank for Consistent Whole-Slide Reasoning

    Aug 31, 2026Beidi Zhao, Gexin Huang, Ciro Zhang +6Memory-Augmented VLMsMedical VQA

  18. CheXGround: Anatomical Region Tokens for Grounded Longitudinal Chest X-ray Interpretation

    Aug 31, 2026Adonay Demewez Gebremedhin, Wessam Shehieb, Sara Alansari +4Radiology Report GenerationRadiology VLMs

  19. From Reasoning to Pixels: Grounded Medical Multimodal LLMs for VQA and Segmentation

    Aug 27, 2026Haowen Gu, Gensheng Pei, Junzhu Mao +3Medical VLMsMedical Image Grounding

  20. PerFact: Perception-Derived Fact Prompting for 3D Brain MRI Report Generation

    Aug 18, 2026Jianyu Sun, Zhenxuan Zhang, Guang Yang +1Radiology Report GenerationMedical VLMs

  21. Counterfactual Anatomy-guided Spatial-Temporal Decoding for Annotation-Free Hallucination Mitigation in Medical VLMs

    Aug 18, 2026Yifan Lu, Adinath Dukre, Abhijit Das +4VLM Hallucination MitigationMedical VLMs

  22. MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation

    Aug 10, 2026Haoyu Yang, Meixing Shi, Zengjie Chen +5Medical VLMsVLM Reasoning

  23. EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation

    Aug 7, 2026Chengyi Peng, Haoyu Yang, Meixing Shi +2Text-Guided Image SegmentationMedical Image Segmentation

  24. Beyond Fluency: A Clinical Benchmark and Anomaly-Enhanced Baseline for Spine MRI Report Generation

    Aug 7, 2026Bruno Palau, Franziska Vogt, Daria Laslo +4VLM EvaluationRadiology Report Generation

  25. LocAnyMed: Vision-Language Grounding for Multimodal Medical Images

    Aug 4, 2026Zihan Wang, Tong Liu, Zhiwei Wang +6Medical VLMsMedical Image Grounding

  26. Slot2Text: Object-Centric Visual Tokenization for Efficient and Spatially Traceable Surgical MLLMs

    Aug 2, 2026Guiqiu Liao, Matjaz Jogan, Daniel A. HashimotoImage TokenizationHealthcare

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

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

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

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

  29. 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