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
Trabecular Bone Structure Analysis in the Osteoporotic Spine Using a Clinical In Vivo Setup for 64‐Slice MDCT Imaging: Comparison to μCT Imaging and μFE Modeling
Ahi Sema Issever,Ahi Sema Issever,Thomas M. Link,Marie Kentenich,Marie Kentenich,Patrik Rogalla,Karsten Schwieger,Markus B. Huber,Andrew J. Burghardt,Sharmila Majumdar,Gerd Diederichs,Gerd Diederichs +11 more
TL;DR: Although still limited by its spatial resolution, trabecular bone structure assessment using MDCT is overall feasible, however, when comparing with μFE‐derived bone properties, BMD is superior compared with single parameters for microarchitecture, and correlations further improve when combining with texture measures.
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A new computational efficient approach for trabecular bone analysis using beam models generated with skeletonized graph technique.
TL;DR: An alternative FE approach is presented that makes use of a recently developed 3D-Line Skeleton Graph Analysis (LSGA) technique to represent the complex internal structure of trabecular bone as a network of simple straight beam elements in which the beams are assigned geometrical properties of thetrabeculae that they represent.
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Automatic Deep Learning–assisted Detection and Grading of Abnormalities in Knee MRI Studies
Bruno Astuto,Io Flament,Nikan K. Namiri,Rutwik Shah,Upasana Upadhyay Bharadwaj,Thomas M. Link,Matthew D. Bucknor,Valentina Pedoia,Sharmila Majumdar +8 more
TL;DR: Three-dimensional convolutional neural network had high sensitivity, specificity, and accuracy for knee-lesion-severity scoring and also increased intergrader agreement when used on an external dataset.
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Relationships between young modulus of elasticity, ash density, and MRI derived effective transverse relaxation T2* in tibial specimens.
M. Jergas,Sharmila Majumdar,Joyce H. Keyak,Irving Y. Lee,David C. Newitt,Stephan Grampp,Harry B. Skinner,Harry K. Genant +7 more
TL;DR: The results indicate a moderate significant negative correlation between T2* and ash density or elastic modulus (E) in both sets of specimens and trabecular bone properties may potentially be assessed with quantitative MR techniques.
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T1ρ and T2 relaxation times are associated with progression of hip osteoarthritis
Matthew C. Gallo,Cory Wyatt,Valentina Pedoia,Deepak Kumar,Sonia Lee,Lorenzo Nardo,Thomas M. Link,Richard B. Souza,Sharmila Majumdar +8 more
TL;DR: T1ρ and T2 relaxation parameters are associated with morphological cartilage degeneration at 18 months and may serve as potential imaging biomarkers for progression of cartilage lesions in hip OA.