EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records. - Adibvafa Fallahpour; Mahshid Alinoori; Wenqian Ye; Xu Cao; Arash Afkanpour; Amrit Krishnan (ML4H@NeurIPS, 2024)

EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records. - Adibvafa Fallahpour; Mahshid Alinoori; Arash Afkanpour; Amrit Krishnan (CoRR, 2024)

MedRAX: Medical Reasoning Agent for Chest X-ray. - Adibvafa Fallahpour; Jun Ma; Alif Munim; Hongwei Lyu; Bo Wang (CoRR, 2025)

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium. - Amin Adibi; Xu Cao; Zongliang Ji; Jivat Neet Kaur; Winston Chen; Elizabeth Healey; Brighton Nuwagira; Wenqian Ye; Geoffrey Woollard; Maxwell A. Xu; Hejie Cui; Johnny Xi; et al. (CoRR, 2025)

Advancing Medical Representation Learning Through High-Quality Data. - Negin Baghbanzadeh; Adibvafa Fallahpour; Yasaman Parhizkar; Franklin Ogidi; Shuvendu Roy; Sajad Ashkezari; Vahid Reza Khazaie; Michael Colacci; Ali Etemad; Arash Afkanpour; Elham Dolatabadi (CoRR, 2025)

MedSAM2: Segment Anything in 3D Medical Images and Videos. - Jun Ma; Zongxin Yang; Sumin Kim; Bihui Chen; Mohammed Baharoon; Adibvafa Fallahpour; Reza Asakereh; Hongwei Lyu; Bo Wang (CoRR, 2025)

BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model. - Adibvafa Fallahpour; Andrew Magnuson; Purav Gupta; Shihao Ma; Jack Naimer; Arnav Shah; Haonan Duan 002; Omar Ibrahim; Hani Goodarzi; Chris J. Maddison; Bo Wang 044 (CoRR, 2025)