| 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 abs/1711 5225, 2017 | 3713 | 2017 |
| 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, ... Thirty-Third AAAI Conference on Artificial Intelligence, 2019 | 3042 | 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 | 1333 | 2018 |
| 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 | 714 | 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, 2018 | 388 | 2018 |
| 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 | 214 | 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 | 156 | 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 | 107 | 2020 |
| Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands J Irvin, S Zhou, G McNicol, F Lu, V Liu, E Fluet-Chouinard, Z Ouyang, ... Agricultural and Forest Meteorology 308, 108528, 2021 | 84 | 2021 |
| Evaluation of a machine learning model based on pretreatment symptoms and electroencephalographic features to predict outcomes of antidepressant treatment in adults with … P Rajpurkar, J Yang, N Dass, V Vale, AS Keller, J Irvin, Z Taylor, S Basu, ... JAMA network open 3 (6), e206653-e206653, 2020 | 79 | 2020 |
| Mura dataset: Towards radiologist-level abnormality detection in musculoskeletal radiographs P Rajpurkar, J Irvin, A Bagul, D Ding, T Duan, H Mehta, B Yang, K Zhu, ... Medical imaging with deep learning, 2017 | 79 | 2017 |
| Geo-bench: Toward foundation models for earth monitoring A Lacoste, N Lehmann, P Rodriguez, E Sherwin, H Kerner, B Lütjens, ... Advances in Neural Information Processing Systems 36, 51080-51093, 2023 | 57 | 2023 |
| Forestnet: Classifying drivers of deforestation in indonesia using deep learning on satellite imagery J Irvin, H Sheng, N Ramachandran, S Johnson-Yu, S Zhou, K Story, ... arXiv preprint arXiv:2011.05479, 2020 | 56 | 2020 |
| Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments JA Irvin, AA Kondrich, M Ko, P Rajpurkar, B Haghgoo, BE Landon, ... BMC Public Health 20, 1-10, 2020 | 55 | 2020 |
| CheXpedition: Investigating generalization challenges for translation of chest X-ray algorithms to the clinical setting P Rajpurkar, A Joshi, A Pareek, P Chen, A Kiani, J Irvin, AY Ng, ... arXiv preprint arXiv:2002.11379, 2020 | 40 | 2020 |
| Toward foundation models for earth monitoring: Proposal for a climate change benchmark A Lacoste, ED Sherwin, H Kerner, H Alemohammad, B Lütjens, J Irvin, ... arXiv preprint arXiv:2112.00570, 2021 | 32 | 2021 |
| DeepWind: Weakly supervised localization of wind turbines in satellite imagery S Zhou, J Irvin, Z Wang, E Zhang, J Aljubran, W Deadrick, R Rajagopal, ... Proc. CVPR 4, 23-32, 2009 | 30 | 2009 |
| Many-shot in-context learning in multimodal foundation models Y Jiang, JA Irvin, JH Wang, MA Chaudhry, JH Chen, AY Ng ICML 2024 Workshop on In-Context Learning, 2024 | 29 | 2024 |
| Structured dataset documentation: a datasheet for CheXpert C Garbin, P Rajpurkar, J Irvin, MP Lungren, O Marques arXiv preprint arXiv:2105.03020, 2021 | 29 | 2021 |
| Paddy rice methane emissions across Monsoon Asia Z Ouyang, RB Jackson, G McNicol, E Fluet-Chouinard, BRK Runkle, ... Remote Sensing of Environment 284, 113335, 2023 | 28 | 2023 |
Andrew NgStanford UniversityVerified email at cs.stanford.edu
