| Self-supervised learning in medicine and healthcare R Krishnan, P Rajpurkar, EJ Topol Nature Biomedical Engineering, 1-7, 2022 | 224 | 2022 |
| Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained Contrastive Language-Image Model M Endo, R Krishnan, V Krishna, AY Ng, P Rajpurkar Machine Learning for Health, 209-219, 2021 | 57 | 2021 |
| Evaluating progress in automatic chest x-ray radiology report generation F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis, EKUN Fonseca, ... Patterns 4 (9), 2023 | 32 | 2023 |
| CheXphoto: 10,000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness NA Phillips, P Rajpurkar, M Sabini, R Krishnan, S Zhou, A Pareek, ... Machine Learning for Health, 318-327, 2020 | 28 | 2020 |
| Using LSTM and SARIMA Models to Forecast Cluster CPU Usage L Nashold, R Krishnan arXiv preprint arXiv:2007.08092, 2020 | 27 | 2020 |
| Chexbreak: Misclassification identification for deep learning models interpreting chest x-rays E Chen, A Kim, R Krishnan, J Long, AY Ng, P Rajpurkar Machine Learning for Healthcare Conference, 103-125, 2021 | 4 | 2021 |
| Radiology Report Expert Evaluation (ReXVal) Dataset F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis, EKU Fonseca, H Lee, ... | 3 | 2023 |
| 1773P Prediction of neoadjuvant chemotherapy response in muscle-invasive bladder cancer: A machine learning approach E Shkolyar, H Bhambhvani, E Tiu, V Krishna, V Nimgaonkar, R Krishnan, ... Annals of Oncology 33, S1348, 2022 | 1 | 2022 |
| Corrigendum to “1773P Prediction of chemotherapy response in muscle-invasive bladder cancer: A machine learning approach”:[Annals of Oncology 32 (2022) S1348] E Shkolyar, H Bhambhvani, E Tiu, V Krishna, V Nimgaonkar, R Krishnan, ... Annals of Oncology 34 (5), 502, 2023 | | 2023 |
| 44/# 219 Predicting response to platinum-based chemotherapy for tubo-ovarian high-grade serous carcinoma using an artificial intelligence histopathology platform E Tiu, V Krishna, V Nimgaonkar, R Krishnan, H Bhambhvani, ... International Journal of Gynecologic Cancer 32 (Suppl 3), 2022 | | 2022 |
| 43/# 512 Assessing robustness of an artificial intelligence derived histological biomarker across different sites of disease and in serial sections in tubo-ovarian high-grade … R Krishnan, E Tiu, V Krishna, V Nimgaonkar, H Bhambhvani, ... International Journal of Gynecologic Cancer 32 (Suppl 3), 2022 | | 2022 |
