S
Sharmila Majumdar
Researcher at University of California, San Francisco
Publications - 505
Citations - 29773
Sharmila Majumdar is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Osteoarthritis & Cartilage. The author has an hindex of 88, co-authored 477 publications receiving 27074 citations. Previous affiliations of Sharmila Majumdar include University of California & Georgia Regents University.
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Journal ArticleDOI
Using multidimensional topological data analysis to identify traits of hip osteoarthritis.
Jasmine Rossi-deVries,Valentina Pedoia,Michael A. Samaan,Adam R. Ferguson,Adam R. Ferguson,Richard B. Souza,Sharmila Majumdar +6 more
TL;DR: Osteoarthritis (OA) is a multifaceted disease with many variables affecting diagnosis and progression, and topological data analysis is used to simultaneously analyze imaging and gait analysis techniques.
Journal ArticleDOI
[18F]-Sodium Fluoride PET MR–Based Localization and Quantification of Bone Turnover as a Biomarker for Facet Joint–Induced Disability
Nathaniel W. Jenkins,Jason F. Talbott,Jason F. Talbott,Vinil Shah,Prachi Pandit,Youngho Seo,William P. Dillon,Sharmila Majumdar +7 more
TL;DR: Data suggest that dynamic [18F]-NaF PET may serve as a useful biomarker for facetogenic disability in patients with facetogenic low back pain.
Proceedings ArticleDOI
Partially-parallel, susceptibility-weighted MR imaging of brain vasculature at 7 Tesla using sensitivity encoding and an autocalibrating parallel technique
Janine M. Lupo,Suchandrima Banerjee,Douglas A.C. Kelley,Duan Xu,Daniel B. Vigneron,Sharmila Majumdar,Sarah J. Nelson +6 more
TL;DR: This work implemented two partially parallel imaging reconstruction methods, 1) an autocalibrating parallel technique based on GRAPPA algorithm, and 2) sensitivity encoding (SENSE) for accelerating SWI of the brain at 7 Tesla by employing twofold under-sampling in the phase-encoding direction for both techniques.
Journal ArticleDOI
Bone microstructure in men assessed by HR-pQCT: Associations with risk factors and differences between men with normal, low, and osteoporosis-range areal BMD.
TL;DR: Cortical bone microstructure was negatively affected by aging, and there was a suggestion that the influence of aging may be particularly important at the weight-bearing sites.
Journal ArticleDOI
Longitudinal Analysis of the Contribution of 3D Patella and Trochlear Bone Shape on Patellofemoral Joint Osteoarthritic Features
Tzu-Chieh Liao,Hannah Jergas,Radhika Tibrewala,Emma Bahroos,Thomas M. Link,Sharmila Majumdar,Richard B. Souza,Valentina Pedoia +7 more
TL;DR: The study demonstrated the ability of 3D statistical shape modeling to quantify patella and trochlear bone shape features that are associated with the presence and progression of PFJ osteoarthritic features.