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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.
Papers
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Journal ArticleDOI
A feasibility study of in vivo T1ρ imaging of the intervertebral disc
Gabrielle Blumenkrantz,Xiaojuan Li,Eric T. Han,David C. Newitt,Jason C. Crane,Thomas M. Link,Sharmila Majumdar +6 more
TL;DR: The results of this study suggest that in vivo T1rho quantification is feasible and may potentially be a clinical tool in identifying early degenerative changes in the intervertebral disc.
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Diagnosing osteoarthritis from T2 maps using deep learning: an analysis of the entire Osteoarthritis Initiative baseline cohort.
TL;DR: The results showed that feature learning from T2 maps has potential in uncovering information that can potentially better diagnose OA than simple averages or linear patterns decomposition.
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Feasibility and reproducibility of relaxometry, morphometric, and geometrical measurements of the hip joint with magnetic resonance imaging at 3T.
Julio Carballido-Gamio,Thomas M. Link,Xiaojuan Li,Eric T. Han,Roland Krug,Michael D. Ries,Sharmila Majumdar +6 more
TL;DR: To test the feasibility of in vivo magnetic resonance T1ρ relaxation time measurements of hip Cartilage, and quantify the reproducibility of hip cartilage thickness, volume, T2, T1 π, and size of femoral head measurements.
Journal ArticleDOI
Distal radius: in vivo assessment with quantitative MR imaging, peripheral quantitative CT, and dual X-ray absorptiometry.
TL;DR: MR imaging relaxation rates correlate well with trabecular BMD in vivo, and pre- and postmenopausal healthy subjects could be distinguished only with MR imaging, and post menopausal healthy and osteoporotic subjects only with CT and DXA.
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Quantitative In Vivo HR-pQCT Imaging of 3D Wrist and Metacarpophalangeal Joint Space Width in Rheumatoid Arthritis
Andrew J. Burghardt,Chan Hee Lee,Daniel Kuo,Sharmila Majumdar,John B. Imboden,John B. Imboden,Thomas M. Link,Xiaojuan Li +7 more
TL;DR: It is suggested that in vivo quantification of 3D joint space morphology from HR-pQCT, could improve early detection of joint damage in rheumatological diseases.