| SQuAD: 100,000+ Questions for Machine Comprehension of Text P Rajpurkar, J Zhang, K Lopyrev, P Liang Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 6083 | 2016 |
| 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 | 2433 | 2017 |
| Know What You Don't Know: Unanswerable Questions for SQuAD P Rajpurkar, R Jia, P Liang Proceedings of the 55th Annual Meeting of the Association for Computational …, 2018 | 1975 | 2018 |
| Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network AY Hannun, P Rajpurkar, M Haghpanahi, GH Tison, C Bourn, ... Nature medicine 25 (1), 65-69, 2019 | 1799 | 2019 |
| 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 | 1581 | 2019 |
| 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 | 853 | 2018 |
| Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks P Rajpurkar, AY Hannun, M Haghpanahi, C Bourn, AY Ng arXiv preprint arXiv:1707.01836, 2017 | 802 | 2017 |
| An Empirical Evaluation of Deep Learning on Highway Driving B Huval, T Wang, S Tandon, J Kiske, W Song, J Pazhayampallil, ... arXiv preprint arXiv:1504.01716, 2015 | 789 | 2015 |
| Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet N Bien, P Rajpurkar, RL Ball, J Irvin, A Park, E Jones, M Bereket, BN Patel, ... PLOS Medicine 15 (11), e1002699, 2018 | 445 | 2018 |
| AI in health and medicine P Rajpurkar, E Chen, O Banerjee, EJ Topol Nature Medicine 28 (1), 31-38, 2022 | 289 | 2022 |
| 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 | 281 | 2017 |
| 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 | 165 | 2019 |
| Impact of a deep learning assistant on the histopathologic classification of liver cancer A Kiani, B Uyumazturk, P Rajpurkar, A Wang, R Gao, E Jones, Y Yu, ... NPJ digital medicine 3 (1), 23, 2020 | 141 | 2020 |
| Human–machine partnership with artificial intelligence for chest radiograph diagnosis BN Patel, L Rosenberg, G Willcox, D Baltaxe, M Lyons, J Irvin, ... NPJ digital medicine 2 (1), 111, 2019 | 128 | 2019 |
| Moco pretraining improves representation and transferability of chest x-ray models H Sowrirajan, J Yang, AY Ng, P Rajpurkar Medical Imaging with Deep Learning, 728-744, 2021 | 116 | 2021 |
| CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT A Smit, S Jain, P Rajpurkar, A Pareek, AY Ng, MP Lungren Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 104 | 2020 |
| CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation A Ke, W Ellsworth, O Banerjee, AY Ng, P Rajpurkar ACM Conference on Health, Inference, and Learning (ACM-CHIL) 2021, 2021 | 79 | 2021 |
| CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV P Rajpurkar, C O’Connell, A Schechter, N Asnani, J Li, A Kiani, RL Ball, ... NPJ digital medicine 3 (1), 115, 2020 | 66 | 2020 |
| 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 | 66 | 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 | 64 | 2020 |
Andrew NgStanford University在 cs.stanford.edu 的电子邮件经过验证
