|Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning|
P Rajpurkar, J Irvin, K Zhu, B Yang, H Mehta, T Duan, D Ding, A Bagul, ...
arXiv preprint arXiv:1711.05225, 2017
|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
|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, ...
1st Conference on Medical Imaging with Deep Learning, 2017
|Learning to Summarize Radiology Findings|
Y Zhang, DY Ding, T Qian, CD Manning, CP Langlotz
|The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data|
DY Ding, C Simpson, S Pfohl, DC Kale, K Jung, NH Shah
Pacific Symposium on Biocomputing (PSB), 2018
|Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare|
SL Fleming, K Jeyapragasan, T Duan, D Ding, S Gombar, N Shah, ...
arXiv preprint arXiv:1911.07084, 2019
|NGBoost: Natural Gradient Boosting for Probabilistic Prediction|
T Duan, A Avati, DY Ding, S Basu, AY Ng, A Schuler
arXiv preprint arXiv:1910.03225, 2019
|Counterfactual Reasoning for Fair Clinical Risk Prediction|
S Pfohl, T Duan, DY Ding, NH Shah
arXiv preprint arXiv:1907.06260, 2019
|Deep Learning for the Automatic Generation of Radiology Impressions from Radiology Findings|
Y Zhang, DY Ding, T Qian, CP Langlotz
SIIM Conference on Machine Intelligence in Medical Imaging, 2018