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Akshay S. Chaudhari
Researcher at Stanford University
Publications - 79
Citations - 1091
Akshay S. Chaudhari is an academic researcher from Stanford University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 14, co-authored 54 publications receiving 604 citations. Previous affiliations of Akshay S. Chaudhari include University of California, San Diego.
Papers
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Journal ArticleDOI
Simultaneous bilateral-knee MR imaging.
Feliks Kogan,Evan Levine,Akshay S. Chaudhari,U.D. Monu,Kevin S. Epperson,Edwin H.G. Oei,Garry E. Gold,Brian A. Hargreaves +7 more
TL;DR: To demonstrate and evaluate the scan time and quantitative accuracy of simultaneous bilateral‐knee imaging compared with single-knee acquisitions.
Journal ArticleDOI
Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort
Wolfgang Wirth,Felix Eckstein,Jana Kemnitz,Christian F. Baumgartner,Ender Konukoglu,David Fuerst,Akshay S. Chaudhari +6 more
TL;DR: The 2D U-Net-based automated segmentation method yielded high agreement compared with manual segmentation and also demonstrated high accuracy and longitudinal test–retest reproducibility for morphometric analysis of articular cartilage derived from it, using both corFLASH and sagDESS.
Book ChapterDOI
Deep Learning Super-Resolution Enables Rapid Simultaneous Morphological and Quantitative Magnetic Resonance Imaging
TL;DR: It is demonstrated how super-resolution (SR) can be utilized to maintain adequate SNR for accurate quantification of the T\(_2\) relaxation time biomarker, while simultaneously generating high-resolution images.
Journal ArticleDOI
3D Ultrashort TE MRI for Evaluation of Cartilaginous Endplate of Cervical Disk In Vivo: Feasibility and Correlation With Disk Degeneration in T2-Weighted Spin-Echo Sequence
Yeo Ju Kim,Yeo Ju Kim,Jang Gyu Cha,Yoon Sang Shin,Akshay S. Chaudhari,Young Ju Suh,Seung Hwan Yoon,Garry E. Gold +7 more
TL;DR: Three-dimensional UTE MRI feasibly depicts the CEP and CEP abnormalities, which may be associated with the severity of disk degeneration on T2-weighted SE MRI.
Proceedings Article
Measuring Robustness in Deep Learning Based Compressive Sensing
TL;DR: In this paper, the robustness of deep learning-based image reconstruction methods is investigated. And the authors find that both trained and un-trained methods are vulnerable to adversarial perturbations.