| Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison J Irvin, P Rajpurkar, M Ko, Y Yu, S Ciurea-Ilcus, C Chute, H Marklund, ... Proceedings of the AAAI conference on artificial intelligence 33 (01), 590-597, 2019 | 2561 | 2019 |
| Deep learning–assisted diagnosis of cerebral aneurysms using the HeadXNet model A Park, C Chute, P Rajpurkar, J Lou, RL Ball, K Shpanskaya, ... JAMA network open 2 (6), e195600-e195600, 2019 | 224 | 2019 |
| PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging SC Huang, T Kothari, I Banerjee, C Chute, RL Ball, N Borus, A Huang, ... NPJ digital medicine 3 (1), 61, 2020 | 137 | 2020 |
| AppendiXNet: deep learning for diagnosis of appendicitis from a small dataset of CT exams using video pretraining P Rajpurkar, A Park, J Irvin, C Chute, M Bereket, D Mastrodicasa, ... Scientific reports 10 (1), 3958, 2020 | 89 | 2020 |
| Alignflow: Cycle consistent learning from multiple domains via normalizing flows A Grover, C Chute, R Shu, Z Cao, S Ermon Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4028-4035, 2020 | 59 | 2020 |
| Query complexity of mastermind variants A Berger, C Chute, M Stone Discrete Mathematics 341 (3), 665-671, 2018 | 7 | 2018 |
| AlignFlow: Learning from multiple domains via normalizing flows. A Grover, C Chute, R Shu, Z Cao, S Ermon DGS@ ICLR, 1-10, 2019 | 4 | 2019 |
| PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging H Shih-Cheng, K Tanay, B Imon, C Chute, RL Ball, B Norah, A Huang, ... NPJ Digital Medicine 3 (1), 2020 | 3 | 2020 |
| AI-augmented diagnosis of brain aneurysms from CTA: a retrospective study R Jabarkheel, A Park, C Chute, P Rajpurkar, J Lou, K Shpanskaya, L Kim, ... JOURNAL OF NEUROSURGERY 131 (1), 2019 | 1 | 2019 |
| Technical and Societal Critiques of ML A Sun, C Chute, T Ding, A Kurenkov | | |
