| AI in health and medicine P Rajpurkar, E Chen, O Banerjee, EJ Topol Nature medicine 28 (1), 31-38, 2022 | 1123 | 2022 |
| 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 | 544 | 2023 |
| 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 | 109 | 2021 |
| 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 | 15 | 2023 |
| 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 | 9 | 2024 |
| 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 | 9 | 2023 |
| 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 | 4 | 2022 |
| 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 |
| 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 | | 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 |
