CheXtransfer: performance and parameter efficiency of ImageNet models for chest X-Ray interpretation. - Alexander Ke; William Ellsworth; Oishi Banerjee; Andrew Y. Ng; Pranav Rajpurkar (CHIL, 2021)

BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors. - Kathryn Wantlin; Chenwei Wu 006; Shih-Cheng Huang; Oishi Banerjee; Farah Dadabhoy; Veeral Vipin Mehta; Ryan Wonhee Han; Fang Cao; Raja R. Narayan; Errol Colak; Adewole S. Adamson; Laura Heacock; et al. (CoRR, 2023)

Autonomous AI systems in the face of liability, regulations and costs. - Agustina Saenz; Zach Harned; Oishi Banerjee; Michael D. Abràmoff; Pranav Rajpurkar (npj Digit. Medicine, 2023)

RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models. - Serena Zhang; Sraavya Sambara; Oishi Banerjee; Julián Nicolás Acosta; L. John Fahrner; Pranav Rajpurkar (ML4H@NeurIPS, 2024)

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)

FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores. - Alyssa Huang; Oishi Banerjee; Kay Wu; Eduardo Pontes Reis; Pranav Rajpurkar (MLHC, 2024)

ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics. - Oishi Banerjee; Agustina Saenz; Kay Wu; Warren Clements; Adil Zia; Dominic Buensalido; Helen Kavnoudias; Alain S. Abi-Ghanem; Nour El Ghawi; Cibele Luna; Patricia Castillo; Khaled Al-Surimi; et al. (CoRR, 2024)

ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation. - Xiaoman Zhang; Hong-Yu Zhou; Xiaoli Yang; Oishi Banerjee; Julián Nicolás Acosta; Josh Miller; Ouwen Huang; Pranav Rajpurkar (CoRR, 2024)