Следене
Akshay Chaudhari
Akshay Chaudhari
Assistant Professor, Stanford University
Потвърден имейл адрес: stanford.edu - Начална страница
Заглавие
Позовавания
Позовавания
Година
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
3702018
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
1302023
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
1072023
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
992022
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
90*2024
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
882017
Measuring robustness in deep learning based compressive sensing
MZ Darestani, AS Chaudhari, R Heckel
International Conference on Machine Learning, 2433-2444, 2021
852021
Adapting pretrained vision-language foundational models to medical imaging domains
P Chambon, C Bluethgen, CP Langlotz, A Chaudhari
arXiv preprint arXiv:2210.04133, 2022
812022
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
782018
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
762022
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
762021
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
712019
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
59*2023
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
562021
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
562020
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
552020
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
512021
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
512017
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
502020
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
502019
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