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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
Subject-specific biomechanical analysis to estimate locations susceptible to osteoarthritis—Finite element modeling and MRI follow-up of ACL reconstructed patients
Paul O. Bolcos,Mika E. Mononen,Koren E. Roach,M. Tanaka,Juha-Sampo Suomalainen,Santtu Mikkonen,Mikko J. Nissi,Mikko J. Nissi,Juha Töyräs,Juha Töyräs,Thomas M. Link,Richard B. Souza,Sharmila Majumdar,C. Benjamin Ma,Xiaojuan Li,Rami K. Korhonen +15 more
TL;DR: In this article, subject-specific finite element (FE) models were used to identify cartilage locations and volumes at risk of osteoarthritis (OA) using subject specific finite element models and Quantify the relationship between the simulated biomechanical parameters and T2 and T1ρ relaxation times of magnetic resonance imaging (MRI).
Book ChapterDOI
Adversarial Policy Gradient for Deep Learning Image Augmentation
Kaiyang Cheng,Claudia Iriondo,Francesco Caliva,Justin D. Krogue,Sharmila Majumdar,Valentina Pedoia +5 more
TL;DR: APGA as mentioned in this paper proposes a joint-training deep reinforcement learning framework for image augmentation, where a segmentation network, weakly supervised with policy gradient optimization, acts as an agent, and outputs masks as actions given samples as states, with the goal of maximizing reward signals from the classification network.
Dipolar Contrast Imaging Applied to In vivo Musculo-skeletal Imaging
Denis Grenier,Lydia K. Wachsmuth,Lucas Carjaval,Sharmila Majumdar,Friedrich-Alexander-Universität Erlangen-Nürnberg +4 more
TL;DR: For the very first time, a method is presented to obtain high-resolution images of middle range T2 protons, this images being obtained on a clinical scanner and showing the advantage of this technique in musculo-skeletal imaging.
Journal ArticleDOI
Does Femoroacetabular Impingement Syndrome Affect Self-Reported Burden in Football Players With Hip and Groin Pain?
M. Scholes,Joanne L. Kemp,Benjamin F. Mentiplay,Joshua J Heerey,Rintje Agricola,Adam I. Semciw,Richard B. Souza,Thomas M. Link,Sharmila Majumdar,M. King,Peter R. Lawrenson,Kay M. Crossley +11 more
TL;DR: Football players with FAI syndrome did not report worse burden than those with other causes of hip/groin pain and cartilage defects and/or labral tears did not explain the effect ofFAI syndrome on reported burden.