| Super‐resolution musculoskeletal MRI using deep learning AS Chaudhari, Z Fang, F Kogan, J Wood, KJ Stevens, EK Gibbons, ... Magnetic resonance in medicine 80 (5), 2139-2154, 2018 | 410 | 2018 |
| Adapted large language models can outperform medical experts in clinical text summarization D Van Veen, C Van Uden, L Blankemeier, JB Delbrouck, A Aali, ... Nature medicine 30 (4), 1134-1142, 2024 | 313* | 2024 |
| OpenCap: Human movement dynamics from smartphone videos SD Uhlrich, A Falisse, Ł Kidziński, J Muccini, M Ko, AS Chaudhari, ... PLoS computational biology 19 (10), e1011462, 2023 | 222 | 2023 |
| Self-supervised learning for medical image classification: a systematic review and implementation guidelines SC Huang, A Pareek, M Jensen, MP Lungren, S Yeung, AS Chaudhari NPJ Digital Medicine 6 (1), 74, 2023 | 208 | 2023 |
| TorchXRayVision: A library of chest X-ray datasets and models JP Cohen, JD Viviano, P Bertin, P Morrison, P Torabian, M Guarrera, ... International Conference on Medical Imaging with Deep Learning, 231-249, 2022 | 133 | 2022 |
| A vision–language foundation model for the generation of realistic chest x-ray images C Bluethgen, P Chambon, JB Delbrouck, R van der Sluijs, M Połacin, ... Nature Biomedical Engineering, 1-13, 2024 | 131* | 2024 |
| Adapting pretrained vision-language foundational models to medical imaging domains P Chambon, C Bluethgen, CP Langlotz, A Chaudhari arXiv preprint arXiv:2210.04133, 2022 | 128 | 2022 |
| Federated benchmarking of medical artificial intelligence with MedPerf A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ... Nature machine intelligence 5 (7), 799-810, 2023 | 116* | 2023 |
| Measuring robustness in deep learning based compressive sensing MZ Darestani, AS Chaudhari, R Heckel International Conference on Machine Learning, 2433-2444, 2021 | 108 | 2021 |
| A simple analytic method for estimating T2 in the knee from DESS B Sveinsson, AS Chaudhari, GE Gold, BA Hargreaves Magnetic resonance imaging 38, 63-70, 2017 | 103 | 2017 |
| Prospective deployment of deep learning in MRI: a framework for important considerations, challenges, and recommendations for best practices AS Chaudhari, CM Sandino, EK Cole, DB Larson, GE Gold, ... Journal of Magnetic Resonance Imaging 54 (2), 357-371, 2021 | 89 | 2021 |
| Simultaneous NODDI and GFA parameter map generation from subsampled q‐space imaging using deep learning EK Gibbons, KK Hodgson, AS Chaudhari, LG Richards, JJ Majersik, ... Magnetic resonance in medicine 81 (4), 2399-2411, 2019 | 85 | 2019 |
| Five‐minute knee MRI for simultaneous morphometry and T2 relaxometry of cartilage and meniscus and for semiquantitative radiological assessment using double … AS Chaudhari, MS Black, S Eijgenraam, W Wirth, S Maschek, ... Journal of Magnetic Resonance Imaging 47 (5), 1328-1341, 2018 | 83 | 2018 |
| Skm-tea: A dataset for accelerated mri reconstruction with dense image labels for quantitative clinical evaluation AD Desai, AM Schmidt, EB Rubin, CM Sandino, MS Black, V Mazzoli, ... arXiv preprint arXiv:2203.06823, 2022 | 68 | 2022 |
| The international workshop on osteoarthritis imaging knee MRI segmentation challenge: a multi-institute evaluation and analysis framework on a standardized dataset AD Desai, F Caliva, C Iriondo, A Mortazi, S Jambawalikar, U Bagci, ... Radiology: Artificial Intelligence 3 (3), e200078, 2021 | 66 | 2021 |
| Rapid knee MRI acquisition and analysis techniques for imaging osteoarthritis AS Chaudhari, F Kogan, V Pedoia, S Majumdar, GE Gold, BA Hargreaves Journal of Magnetic Resonance Imaging 52 (5), 1321-1339, 2020 | 65 | 2020 |
| Chexagent: Towards a foundation model for chest x-ray interpretation Z Chen, M Varma, JB Delbrouck, M Paschali, L Blankemeier, D Van Veen, ... arXiv preprint arXiv:2401.12208, 2024 | 63 | 2024 |
| Utility of deep learning super‐resolution in the context of osteoarthritis MRI biomarkers AS Chaudhari, KJ Stevens, JP Wood, AK Chakraborty, EK Gibbons, ... Journal of Magnetic Resonance Imaging 51 (3), 768-779, 2020 | 63 | 2020 |
| Medalign: A clinician-generated dataset for instruction following with electronic medical records SL Fleming, A Lozano, WJ Haberkorn, JA Jindal, E Reis, R Thapa, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22021 …, 2024 | 60 | 2024 |
| DDM: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models T Xiang, M Yurt, AB Syed, K Setsompop, A Chaudhari arXiv preprint arXiv:2302.03018, 2023 | 59 | 2023 |
Garry GoldProfessor of Radiology, Stanford UniversityVerifierad e-postadress på stanford.edu
