richard-peng-xia/awesome-multimodal-in-medical-imaging
A curated collection of research papers on multimodal large language models applied to medical imaging tasks.
Not currently ranked — collecting fresh signals.
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This repository aggregates academic papers and resources on applying multimodal learning—including vision-language models and LLMs—to medical imaging. It covers tasks such as medical report generation, visual question answering, and multi-agent reasoning in clinical settings. Papers are organized by conference/journal with links to PDFs and code repositories, and actively tracks recent publications like MMedAgent-RL and MMed-RAG.
Frequently asked
- What is richard-peng-xia/awesome-multimodal-in-medical-imaging?
- A curated collection of research papers on multimodal large language models applied to medical imaging tasks.
- Is awesome-multimodal-in-medical-imaging open source?
- Yes — richard-peng-xia/awesome-multimodal-in-medical-imaging is open source, released under the MIT license.
- How popular is awesome-multimodal-in-medical-imaging?
- richard-peng-xia/awesome-multimodal-in-medical-imaging has 971 stars on GitHub.
- Where can I find awesome-multimodal-in-medical-imaging?
- richard-peng-xia/awesome-multimodal-in-medical-imaging is on GitHub at https://github.com/richard-peng-xia/awesome-multimodal-in-medical-imaging.