| 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 | 301 | 2018 |
| 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 | 80 | 2017 |
| 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 | 65 | 2018 |
| 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 | 58 | 2019 |
| 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 | 57 | 2021 |
| Measuring robustness in deep learning based compressive sensing MZ Darestani, AS Chaudhari, R Heckel International Conference on Machine Learning, 2433-2444, 2021 | 56 | 2021 |
| 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 | 50 | 2022 |
| 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 | 48 | 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 | 45 | 2020 |
| 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 | 43 | 2020 |
| 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 | 41 | 2021 |
| Imaging and T2 relaxometry of short‐T2 connective tissues in the knee using ultrashort echo‐time double‐echo steady‐state (UTEDESS) AS Chaudhari, B Sveinsson, CJ Moran, EJ McWalter, EM Johnson, ... Magnetic resonance in medicine 78 (6), 2136-2148, 2017 | 40 | 2017 |
| 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 | 39 | 2019 |
| 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 | 35 | 2021 |
| Simultaneous bilateral‐knee MR imaging F Kogan, E Levine, AS Chaudhari, UD Monu, K Epperson, EHG Oei, ... Magnetic resonance in medicine 80 (2), 529-537, 2018 | 34 | 2018 |
| Technical considerations for semantic segmentation in MRI using convolutional neural networks AD Desai, GE Gold, BA Hargreaves, AS Chaudhari arXiv preprint arXiv:1902.01977, 2019 | 31 | 2019 |
| Adapting pretrained vision-language foundational models to medical imaging domains P Chambon, C Bluethgen, CP Langlotz, A Chaudhari arXiv preprint arXiv:2210.04133, 2022 | 30 | 2022 |
| OpenCap: 3D human movement dynamics from smartphone videos SD Uhlrich, A Falisse, Ł Kidziński, J Muccini, M Ko, AS Chaudhari, ... BioRxiv, 2022.07. 07.499061, 2022 | 30 | 2022 |
| Diagnostic accuracy of quantitative multicontrast 5-minute knee MRI using prospective artificial intelligence image quality enhancement AS Chaudhari, MJ Grissom, Z Fang, B Sveinsson, JH Lee, GE Gold, ... AJR. American journal of roentgenology 216 (6), 1614, 2021 | 30 | 2021 |
| Combined 5‐minute double‐echo in steady‐state with separated echoes and 2‐minute proton‐density‐weighted 2D FSE sequence for comprehensive whole‐joint knee MRI assessment AS Chaudhari, KJ Stevens, B Sveinsson, JP Wood, CF Beaulieu, ... Journal of Magnetic Resonance Imaging 49 (7), e183-e194, 2019 | 29 | 2019 |
Garry GoldProfessor of Radiology, Stanford UniversityVerified email at stanford.edu
