| CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning P Rajpurkar ArXiv abs/1711 5225, 2017 | 3199 | 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, ... Proceedings of the AAAI conference on artificial intelligence 33 (01), 590-597, 2019 | 2643 | 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 | 1205 | 2018 |
| MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports AEW Johnson, TJ Pollard, SJ Berkowitz, NR Greenbaum, MP Lungren, ... Scientific data 6 (1), 317, 2019 | 1002 | 2019 |
| Preparing medical imaging data for machine learning MJ Willemink, WA Koszek, C Hardell, J Wu, D Fleischmann, H Harvey, ... Radiology 295 (1), 4-15, 2020 | 825 | 2020 |
| MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs AEW Johnson, TJ Pollard, NR Greenbaum, MP Lungren, C Deng, Y Peng, ... arXiv preprint arXiv:1901.07042, 2019 | 813 | 2019 |
| 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 | 662 | 2018 |
| Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines SC Huang, A Pareek, S Seyyedi, I Banerjee, MP Lungren NPJ digital medicine 3 (1), 136, 2020 | 506 | 2020 |
| Performance of a deep-learning neural network model in assessing skeletal maturity on pediatric hand radiographs DB Larson, MC Chen, MP Lungren, SS Halabi, NV Stence, CP Langlotz Radiology 287 (1), 313-322, 2018 | 443 | 2018 |
| A roadmap for foundational research on artificial intelligence in medical imaging: from the 2018 NIH/RSNA/ACR/The Academy Workshop CP Langlotz, B Allen, BJ Erickson, J Kalpathy-Cramer, K Bigelow, ... Radiology 291 (3), 781-791, 2019 | 366 | 2019 |
| 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, ... arXiv preprint arXiv:1712.06957, 2017 | 350 | 2017 |
| AI recognition of patient race in medical imaging: a modelling study JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ... The Lancet Digital Health 4 (6), e406-e414, 2022 | 341 | 2022 |
| Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification I Banerjee, Y Ling, MC Chen, SA Hasan, CP Langlotz, N Moradzadeh, ... Artificial intelligence in medicine 97, 79-88, 2019 | 267 | 2019 |
| 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 arXiv preprint arXiv:2004.09167, 2020 | 265 | 2020 |
| Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition SC Huang, L Shen, MP Lungren, S Yeung Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 258 | 2021 |
| Assessment of convolutional neural networks for automated classification of chest radiographs JA Dunnmon, D Yi, CP Langlotz, C Ré, DL Rubin, MP Lungren Radiology 290 (2), 537-544, 2019 | 232 | 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 | 231 | 2019 |
| Deep learning to classify radiology free-text reports MC Chen, RL Ball, L Yang, N Moradzadeh, BE Chapman, DB Larson, ... Radiology 286 (3), 845-852, 2018 | 231 | 2018 |
| The current and future state of AI interpretation of medical images P Rajpurkar, MP Lungren New England Journal of Medicine 388 (21), 1981-1990, 2023 | 208 | 2023 |
| Construction of a machine learning dataset through collaboration: the RSNA 2019 brain CT hemorrhage challenge AE Flanders, LM Prevedello, G Shih, SS Halabi, J Kalpathy-Cramer, ... Radiology: Artificial Intelligence 2 (3), e190211, 2020 | 193 | 2020 |
