| Superresolution 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 | 355 | 2018 |
| 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 | 93 | 2023 |
| 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 | 86 | 2017 |
| 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 | 84 | 2022 |
| Measuring robustness in deep learning based compressive sensing MZ Darestani, AS Chaudhari, R Heckel International Conference on Machine Learning, 2433-2444, 2021 | 82 | 2021 |
| 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 | 79 | 2023 |
| Adapting pretrained vision-language foundational models to medical imaging domains P Chambon, C Bluethgen, CP Langlotz, A Chaudhari arXiv preprint arXiv:2210.04133, 2022 | 74 | 2022 |
| Fiveminute 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 | 72 | 2018 |
| 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 | 70 | 2021 |
| Simultaneous NODDI and GFA parameter map generation from subsampled qspace imaging using deep learning EK Gibbons, KK Hodgson, AS Chaudhari, LG Richards, JJ Majersik, ... Magnetic resonance in medicine 81 (4), 2399-2411, 2019 | 70 | 2019 |
| Roentgen: Vision-language foundation model for chest x-ray generation P Chambon, C Bluethgen, JB Delbrouck, R Van der Sluijs, M Połacin, ... arXiv preprint arXiv:2211.12737, 2022 | 59 | 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 | 55 | 2021 |
| Utility of deep learning superresolution 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 | 55 | 2020 |
| 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 | 53 | 2020 |
| Imaging and T2 relaxometry of shortT2 connective tissues in the knee using ultrashort echotime doubleecho steadystate (UTEDESS) AS Chaudhari, B Sveinsson, CJ Moran, EJ McWalter, EM Johnson, ... Magnetic resonance in medicine 78 (6), 2136-2148, 2017 | 51 | 2017 |
| 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 | 50 | 2022 |
| Low-count whole-body PET with deep learning in a multicenter and externally validated study AS Chaudhari, E Mittra, GA Davidzon, P Gulaka, H Gandhi, A Brown, ... NPJ digital medicine 4 (1), 127, 2021 | 49 | 2021 |
| Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain J Kemnitz, CF Baumgartner, F Eckstein, A Chaudhari, A Ruhdorfer, ... Magnetic Resonance Materials in Physics, Biology and Medicine 33, 483-493, 2020 | 48 | 2020 |
| Evaluation of a flexible 12-channel screen-printed pediatric MRI coil SA Winkler, J Corea, B Lechêne, K O’Brien, JR Bonanni, A Chaudhari, ... Radiology 291 (1), 180-185, 2019 | 45 | 2019 |
| 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 | 42* | 2023 |
Garry GoldProfessor of Radiology, Stanford University在 stanford.edu 的电子邮件经过验证
