CVPR 2026 Workshop on Medical Reasoning with Vision Language Foundation Models

Accepted papers (13)

Fetched from OpenReview (v2) on 2026-06-10.

1. ☆BiomedAP: A Vision-Informed Dual-Anchor Framework with Gated Cross-Modal Fusion for Robust Medical Vision-Language Adaptation

   huanyang tong, Kai Liu, fangjun kuang, Huiling Chen

2. ☆BSMAD:Bridging Semantic and Structural Manifolds for Robust Cross-Modality Medical Anomaly Detection

   SHIH-CHIH LIN, Jenq-Neng Hwang, Shang-Hong Lai

3. ☆Consistent but Dangerous: Per-Sample Safety Classification Reveals False Reliability in Medical Vision-Language Models

   Binesh Sadanandan, Vahid Behzadan

4. ☆From Perception to Reasoning: Image-Grounded Knowledge Graphs for Topology-Aware Medical Analysis in Abdominal CT

   Udiptaman Das, Krishnasai Bharadwaj Atmakuri, Duy Hoang Ho, Yugyung Lee

5. ☆GIV-CXR: Densely Grounded, Visually Interpretable Chest X-ray Question Answering Dataset

   Sreevaatsav Bavana, Adit Rushil Potta, Sai Amrit Patnaik, Nidhi Goyal

6. ☆Guideline2Graph: Profile-Aware Multimodal Parsing for Executable Clinical Decision Graphs

   Onur Selim Kilic, Yeti Z. Gurbuz, Cem Okan Yaldiz, Afra Nawar, Etrit Haxholli, Oğul Can, Eli Waxman

7. ☆LEVERAGING IMAGE EDITING FOUNDATION MODELS FOR DATA-EFFICIENT CT METAL ARTIFACT REDUCTION

   Ahmet Rasim Emirdagi, Süleyman Aslan, Mısra Yavuz, Görkay Aydemir, Yunus Bilge Kurt, Nasrin Rahimi, Burak Can Biner, M. AKIN YILMAZ

8. ☆MOSAIC: Multimodal OA Staging with Adaptive Interpretable Clinical Constraints for Evidence-Grounded Knee MRI Grading

   Basit Ali, Sheheryar Khan, Rizwan Qureshi, Muhammad Asim, Mehmood Nawaz, Basim Azam

9. ☆Parameter-efficient Prompt Tuning and Hierarchical Textual Guidance for Few-shot Whole Slide Image Classification

   Jayanie Bogahawatte, Sachith Seneviratne, Saman Halgamuge

10. ☆Pre-Training and Fine-Tuning Effects on Out-of-Distribution Detection in Dermatology with Vision Foundation Models

    Ignazio Gallo, Leonardo Sgroi, Mattia Gatti, Silvia Corchs

11. ☆To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models

    OFM Riaz Rahman Aranya, Kevin Desai

12. ☆When the Right Answer Is Missing: Probing Hallucination in Medical Reasoning Models via NOTA Evaluation

    Alperen Demirci, Ezel Bayraktar, Bora Dere, Erkut Erdem, Aykut Erdem

13. ☆Why Benchmark Accuracy Fails to Measure Clinical Reasoning in Medical Vision Language Models: Toward Clinical Adversarial Validation

    Azmine Toushik Wasi, Mahfuz Ahmed Anik, Mohsin Mahmud Topu, Md Manjurul Ahsan