Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting. - Benjamin Yan; Ruochen Liu; David E. Kuo; Subathra Adithan; Eduardo Pontes Reis; Stephen Kwak; Vasantha Kumar Venugopal; Chloe O'Connell; Agustina Saenz; Pranav Rajpurkar; Michael Moor (EMNLP (Findings), 2023)

Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation. - Jaehwan Jeong; Katherine Tian; Andrew Li; Sina Hartung; Subathra Adithan; Fardad Behzadi; Juan Calle; David Osayande; Michael Pohlen; Pranav Rajpurkar (MIDL, 2023)

Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation. - Oishi Banerjee; Hong-Yu Zhou; Kay Wu; Subathra Adithan; Stephen Kwak; Pranav Rajpurkar (MLHC, 2024)

A Generalist Learner for Multifaceted Medical Image Interpretation. - Hong-Yu Zhou; Subathra Adithan; Julián Nicolás Acosta; Eric J. Topol; Pranav Rajpurkar (CoRR, 2024)

ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic Radiology Reports. - Vishwanatha M. Rao; Serena Zhang; Julián Nicolás Acosta; Subathra Adithan; Pranav Rajpurkar (CoRR, 2024)

The Impact of AI Assistance on Radiology Reporting: A Pilot Study Using Simulated AI Draft Reports. - Julián Nicolás Acosta; Siddhant Dogra; Subathra Adithan; Kay Wu; Michael Moritz; Stephen Kwak; Pranav Rajpurkar (CoRR, 2024)

SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning. - Melanie Rieff; Maya Varma; Ossian Rabow; Subathra Adithan; Julie Kim; Ken Chang; Hannah Lee; Nidhi Rohatgi; Christian Bluethgen; Mohamed S. Muneer; Jean-Benoit Delbrouck; Michael Moor (CoRR, 2025)