| Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists P Rajpurkar, J Irvin, RL Ball, K Zhu, B Yang, H Mehta, T Duan, D Ding, ... PLoS medicine 15 (11), e1002686, 2018 | 4257* | 2018 |
| Ngboost: Natural gradient boosting for probabilistic prediction T Duan, A Anand, DY Ding, KK Thai, S Basu, A Ng, A Schuler International Conference on Machine Learning, 2690-2700, 2020 | 396 | 2020 |
| Mura: Large dataset for abnormality detection in musculoskeletal radiographs P Rajpurkar, J Irvin, A Bagul, D Ding, T Duan, H Mehta, B Yang, K Zhu, ... arXiv preprint arXiv:1712.06957, 2017 | 350 | 2017 |
| Randomized smoothing of all shapes and sizes G Yang, T Duan, JE Hu, H Salman, I Razenshteyn, J Li International Conference on Machine Learning, 10693-10705, 2020 | 215 | 2020 |
| Counterfactual reasoning for fair clinical risk prediction SR Pfohl, T Duan, DY Ding, NH Shah Machine Learning for Healthcare Conference, 325-358, 2019 | 73 | 2019 |
| Countdown regression: sharp and calibrated survival predictions A Avati, T Duan, S Zhou, K Jung, NH Shah, AY Ng Uncertainty in Artificial Intelligence, 145-155, 2020 | 68 | 2020 |
| Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy: A Machine Learning Experiment to Estimate Treatment Effects from Randomized … T Duan, P Rajpurkar, D Laird, AY Ng, S Basu Circulation: Cardiovascular Quality and Outcomes 12 (3), e005010, 2019 | 57 | 2019 |
Pranav RajpurkarAssistant Professor of Biomedical Informatics, Harvard Medical SchoolVerified email at hms.harvard.edu
