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AUTOMATIC EVALUATION OF HIP ABDUCTOR MUSCLE QUALITY IN HIP OSTEOARTHRITIS

A Cartilage-Specific Loss Function Improves Image Reconstruction Performance in Multiple Tissues of Clinical Interest

Deep Learning Predicts Synthetic T1rho Maps from T2 Maps for Knee MRI

Deep-learning based 3D segmentation of thigh muscle and classification of intramuscular fat on T1-weighted axial MRI

DL2: Robustness of Deep Learning Processing on Deep Learning reconstructed Lumbar Spine MRI

EfficientDixon-Based 3D Fast Spin-Echo MR Neurography of Lumbosacral Plexus

Feasibility of Simultaneous Bilateral Hip Quantitative MRI

Author:Koren Roach  Misung Han  Thomas Link  Richard Souza  Sharmila Majumdar  Valentina Pedoia  

Session Type:Digital Poster  

Session Date:Wednesday, 11 May 2022  

Topic:Module 12: MSK I  

Session Name:Cartilage  

Program Number:2309  

Room Session:Exhibition Hall:S8 & S9  

Institution:UCSF  

Gadolinium Free Synthetic Inflammation Imaging

Author:Hari Umesh  Francesco Caliva  Jing Liu  Xiaojuan Li  Thomas Link  Sharmila Majumdar  Valentina Pedoia  

Session Type:Oral  

Session Date:Monday, 09 May 2022  

Topic:Module 12: MSK I  

Session Name:Joints  

Program Number:0096  

Room Session:ICC Capital Suite 10-11  

Institution:Cleveland Clinic  UCSF  University of Illinois at Urbana-Champaign  

The Knee Connectome: Studying Localized Synchrony in 8-year Cartilage Changes in Thickness and T2

Author:Jennifer Cummings  Kenneth Gao  Vincent Chen  Alejandro Morales Martinez  Sharmila Majumdar  Valentina Pedoia  

Session Type:Oral  

Session Date:Tuesday, 10 May 2022  

Topic:Module 12: MSK I  

Session Name:Cartilage  

Program Number:0342  

Room Session:ICC Capital Suite 7 & 12  

Institution:University of California, San Francisco  

Large-scale Analysis of Meniscus Morphology as Risk Factor to Incidence of Osteoarthritis

Longitudinal comparison of medial and lateral meniscal T2* values within elite basketball players and swimmers

A Recurrent Encoder-Decoder Network Accelerates T2 Mapping in Knee, Hip and Lumbar Spine

Towards Clinical Translation of Machine Learning-based Automated Prescription of Spine MRI Acquisitions