Oishi Banerjee

According to our database, Oishi Banerjee authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ReXInTheWild: A Unified Benchmark for Medical Photograph Understanding.

Oishi Banerjee, Sung Eun Kim, Alexandra N. Willauer, Julius M. Kernbach, Abeer Rihan Alomaish, Reema Abdulwahab S. Alghamdi, Hassan Rayhan AlOmaish, Mohammed Baharoon, Xiaoman Zhang, Julián Nicolás Acosta, Christine Zhou, Pranav Rajpurkar

CoRR, March, 2026

CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation.

Mohammed Baharoon, Thibault Heintz, Siavash Raissi, Mahmoud Hussain Alabbad, Mona Alhammad, Hassan Rayhan AlOmaish, Sung Eun Kim, Oishi Banerjee, Pranav Rajpurkar

CoRR, March, 2026

2025

ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation.

Xiaoman Zhang, Hong-Yu Zhou, Xiaoli Yang, Oishi Banerjee, Julián N. Acosta, Josh Miller, Ouwen Huang, Pranav Rajpurkar

Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 2025

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, Rayyan A. Daghistani, Yuh-Min Chen, Heng-sheng Chao, Lars Heiliger, Moon Kim, Johannes Haubold, Frederic Jonske, Pranav Rajpurkar

CoRR, 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

Proceedings of the Machine Learning for Healthcare Conference, 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

Proceedings of the Machine Learning for Healthcare Conference, 2024

RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models.

Serena Zhang, Sraavya Sambara, Oishi Banerjee, Julián N. Acosta, L. John Fahrner, Pranav Rajpurkar

Proceedings of the Machine Learning for Health, 2024

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

BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors.

Kathryn Wantlin, Chenwei Wu, 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, Geoffrey H. Tison, Alex Tamkin, Pranav Rajpurkar

CoRR, 2023

2021

CheXtransfer: performance and parameter efficiency of ImageNet models for chest X-Ray interpretation.

Alexander Ke, William Ellsworth, Oishi Banerjee, Andrew Y. Ng, Pranav Rajpurkar

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021