Akshay Chaudhari
Akshay Chaudhari
Assistant Professor, Stanford University
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
Measuring robustness in deep learning based compressive sensing
MZ Darestani, AS Chaudhari, R Heckel
International Conference on Machine Learning, 2433-2444, 2021
Adapting pretrained vision-language foundational models to medical imaging domains
P Chambon, C Bluethgen, CP Langlotz, A Chaudhari
arXiv preprint arXiv:2210.04133, 2022
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
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
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
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
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, 1-9, 2024
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
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
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
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
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
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
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
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
The system can't perform the operation now. Try again later.
Articles 1–20