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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.

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Deep Learning for Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries from MRI.

TL;DR: Two-dimensional and 3D CNNs applied to ACL lesion classification had high sensitivity and specificity, suggesting that these networks could be used to help nonexperts grade ACL injuries.
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Micro-computed tomography evaluation of trabecular bone structure on loaded mice tail vertebrae.

TL;DR: In vivo compressive loading leads to significant architectural changes within vertebral bodies, which may be helpful in understanding the pathologic processes and the chronology of degenerative spinal conditions.
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Baseline cartilage quality is associated with voxel-based T1ρ and T2 following ACL reconstruction: A multicenter pilot study.

TL;DR: Findings propose that the presence of cartilage lesions at baseline are associated with the longitudinal progression of T1ρ and T2 after ACL injury, and may contribute to early cartilage degeneration.
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Differences between X-ray and MRI-determined knee cartilage thickness in weight-bearing and non-weight-bearing conditions.

TL;DR: Knee loading does not add a very significant value to the study of joint space on healthy knees, but loading may play a role in theStudy of OA knees, as unloaded MRI assessments of cartilage thickness are as correlated to loaded JSW as to loaded MRI measurements.