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Oishi Banerjee
Oishi Banerjee
PhD. Student, Harvard University
Verified email at g.harvard.edu
Title
Cited by
Cited by
Year
AI in health and medicine
P Rajpurkar, E Chen, O Banerjee, EJ Topol
Nature medicine 28 (1), 31-38, 2022
14332022
Foundation models for generalist medical artificial intelligence
M Moor, O Banerjee, ZSH Abad, HM Krumholz, J Leskovec, EJ Topol, ...
Nature 616 (7956), 259-265, 2023
7582023
CheXtransfer: performance and parameter efficiency of ImageNet models for chest X-Ray interpretation
A Ke, W Ellsworth, O Banerjee, AY Ng, P Rajpurkar
Proceedings of the conference on health, inference, and learning, 116-124, 2021
1172021
Heterogeneity and predictors of the effects of AI assistance on radiologists
F Yu, A Moehring, O Banerjee, T Salz, N Agarwal, P Rajpurkar
Nature Medicine 30 (3), 837-849, 2024
212024
Autonomous AI systems in the face of liability, regulations and costs
AD Saenz, Z Harned, O Banerjee, MD Abràmoff, P Rajpurkar
NPJ digital medicine 6 (1), 185, 2023
212023
Benchmd: A benchmark for modality-agnostic learning on medical images and sensors
K Wantlin, C Wu, SC Huang, O Banerjee, F Dadabhoy, VV Mehta, ...
arXiv preprint arXiv:2304.08486, 2023
152023
Self-supervised pretraining enables high-performance chest X-ray interpretation across clinical distributions
NS Iyer, A Gulati, O Banerjee, C Logé, M Farhat, AD Saenz, P Rajpurkar
medRxiv, 2022.11. 19.22282519, 2022
42022
FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores
A Huang, O Banerjee, K Wu, EP Reis, P Rajpurkar
arXiv preprint arXiv:2405.20613, 2024
12024
ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics
O Banerjee, A Saenz, K Wu, W Clements, A Zia, D Buensalido, ...
arXiv preprint arXiv:2408.16208, 2024
2024
Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation
O Banerjee, HY Zhou, S Adithan, S Kwak, K Wu, P Rajpurkar
arXiv preprint arXiv:2406.06496, 2024
2024
BenchMD: A Benchmark for Unified Learning on Medical Images and Sensors
K Wantlin, C Wu, SC Huang, O Banerjee, F Dadabhoy, VV Mehta, ...
arXiv preprint arXiv:2304.08486, 2023
2023
ReXPref-Prior: A MIMIC-CXR Preference Dataset for Reducing Hallucinated Prior Exams in Radiology Report Generation
O Banerjee, HY Zhou, S Adithan, S Kwak, K Wu, P Rajpurkar
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Articles 1–12