| AI in health and medicine P Rajpurkar, E Chen, O Banerjee, EJ Topol Nature medicine 28 (1), 31-38, 2022 | 1007 | 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 | 433 | 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 | 108 | 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 | 10 | 2023 |
| 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 | 7 | 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, 1-13, 2024 | 4 | 2024 |
| 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 | 3 | 2022 |
