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Akshay Chaudhari
Akshay Chaudhari
Assistant Professor, Stanford University
Adresse e-mail validée de stanford.edu - Page d'accueil
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Année
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
4062018
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
306*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
2162023
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
1982023
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
1332022
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
127*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
1262022
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
1082021
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
1032017
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
892021
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
852019
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
832018
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
672022
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
662021
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
642020
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
622020
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
612024
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
592023
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
592021
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