| 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 | 2766 | 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 | 1941 | 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 | 973 | 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 | 518 | 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 | 326 | 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 | 153 | 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 | 97* | 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 | 75 | 2020 |
| 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 | 46 | 2020 |
| 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 | 39 | 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 | 37 | 2021 |
| 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 | 33 | 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 | 27 | 2020 |
| Structured dataset documentation: a datasheet for CheXpert C Garbin, P Rajpurkar, J Irvin, MP Lungren, O Marques arXiv preprint arXiv:2105.03020, 2021 | 20 | 2021 |
| 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 | 17 | 2021 |
| Ognet: Towards a global oil and gas infrastructure database using deep learning on remotely sensed imagery H Sheng, J Irvin, S Munukutla, S Zhang, C Cross, K Story, R Rustowicz, ... arXiv preprint arXiv:2011.07227, 2020 | 14 | 2020 |
| Short-term solar irradiance forecasting using calibrated probabilistic models E Zelikman, S Zhou, J Irvin, C Raterink, H Sheng, A Avati, J Kelly, ... arXiv preprint arXiv:2010.04715, 2020 | 14 | 2020 |
| Deepwind: Weakly supervised localization of wind turbines in satellite imagery S Zhou, J Irvin, Z Wang, E Zhang, J Aljubran, W Deadrick, R Rajagopal, ... 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019 | 13 | 2019 |
| A pragmatic, stepped-wedge, cluster-controlled clinical trial of real-time pneumonia clinical decision support NC Dean, CG Vines, JR Carr, JG Rubin, BJ Webb, JR Jacobs, AM Butler, ... American Journal of Respiratory and Critical Care Medicine 205 (11), 1330-1336, 2022 | 11 | 2022 |
| Radiology SWARM: novel crowdsourcing tool for CheXNet algorithm validation S Halabi, M Lungren, L Rosenberg, D Baltaxe, B Patel, J Seekins, ... SiiM Conference on Machine Intelligence in Medical Imaging 392, 2018 | 11 | 2018 |
Andrew NgStanford UniversityVerified email at cs.stanford.edu
