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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A collection of resources on applications of multi-modal learning in medical imaging.
| Date | Stars |
|---|---|
| 2026-07-24 | 972 |
| 2026-07-25 | 973 |
| 2026-07-28 | 973 |
| 2026-07-30 | 973 |
| 2026-08-06 | 973 |
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growth rate 0.00%/day
[](https://GitHub.com/Naereen/StrapDown.js/graphs/commit-activity) [](http://makeapullrequest.com) [](https://github.com/sindresorhus/awesome)   # Awesome-Multimodal-Applications-In-Medical-Imaging This repository includes resources on several applications of multi-modal learning in medical imaging, including papers related to <b>large language models (LLM)</b>. Papers involving LLM are **bold**. ## Contributing Please feel free to send me [pull requests](https://github.com/richard-peng-xia/awesome-multimodal-in-medical-imaging/pulls) or [email](mailto:[email protected]) to add links or to discuss with me about this area. Markdown format: ```markdown - [**Name of Conference or Journal + Year**] Paper Name. [[pdf]](link) [[code]](link) ``` ## News - **[2026-02]** 🎉🎉 [MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning](https://arxiv.org/abs/2506.00555)" was accepted by ICLR 2026! - **[2025-05]** 🎉🎉 [MMedPO](https://arxiv.org/pdf/2412.06141) was accepted by ICML 2025 and :fire:we release a new paper on agent tuning for Med-VLMs: "[MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning](https://arxiv.org/abs/2506.00555)"! - **[2025-01]** :fire:We release a new paper on clinical-aware preference learning for Med-VLMs: "[MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization](https://arxiv.org/pdf/2412.06141)" and 🎉 [MMed-RAG](https://arxiv.org/abs/2410.13085) was accepted at ICLR'25! - **[2024-10]** :fire::fire:We release a new paper on using versatile multimodal RAG system for Med-VLMs: "[MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models](https://arxiv.org/abs/2410.13085)". - **[2024-09]** 🎉🎉 [CARES](https://arxiv.org/abs/2406.06007) was accepted at NeurIPS'24, [RULE](https://arxiv.org/abs/2407.05131) was accepted at EMNLP'24 main conference! - **[2024-07]** :fire::fire:We release a new paper on enhance the factuality of Med-VLMs with RAG: "[RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models](https://arxiv.org/abs/2407.05131)". - **[2024-06]** :fire::fire:We release a new paper on evaluating Med-VLMs: "[CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models](https://arxiv.org/abs/2406.06007)". - **[2022-07]** We create this repository to maintain a paper list on *multimodal applications in medical imaging*. ## Citation ```bibtex @article{xia2024cares, title={Cares: A comprehensive benchmark of trustworthiness in medical vision language models}, author={Xia, Peng and Chen, Ze and Tian, Juanxi and Gong, Yangrui and Hou, Ruibo and Xu, Yue and Wu, Zhenbang and Fan, Zhiyuan and Zhou, Yiyang and Zhu, Kangyu and others}, journal={Advances in Neural Information Processing Systems}, volume={37}, pages={140334--140365}, year={2024} } @inproceedings{xia2024rule, title={RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models}, author={Xia, Peng and Zhu, Kangyu and Li, Haoran and Zhu, Hongtu and Li, Yun and Li, Gang and Zhang, Linjun and Yao, Huaxiu}, booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing}, pages={1081--1093}, year={2024} } @inproceedings{xia2025mmed, title={MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models}, author={Xia, Peng and Zhu, Kangyu and Li, Haoran and Wang, Tianze and Shi, Weijia and Wang, Sheng and Zhang, Linjun and Zou, James and Yao, Huaxiu}, booktit
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Peng "Richard" Xia · UNC-Chapel Hill · United States
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China
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Zheng Yuan · China
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Federico Bianchi · Together AI · United States
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USTC-liuchang · University of Science and Technology of China · China
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Rémi
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:d711d49ed85c9780, topic:visual-question-answering, name:multimodal, readme:multimodal
matched fp:d711d49ed85c9780, topic:large-language-models
matched fp:d711d49ed85c9780, name:medical imaging, desc:medical imaging, readme:medical imaging