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Evaluation of an accelerated Deep Learning-reconstructed T2 mapping technique through knee cartilage regional analysis using DOSMA framework

3D Cluster Analysis for Cartilage T2 And T1 Mapping to Assess Focal Lesions in ACL-Injured Subjects

Neural Shape Models Predict Knee Pain Better than Conventional Statistical Shape Models: Data from the Osteoarthritis Initiative

Author:Anthony Gatti  Dave Van Veen  Garry Gold  Scott Delp  Akshay Chaudhari  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:ML/AI for Disease Detection, Diagnosis & Prediction  

Program Number:1892  

Room Session:Exhibition Halls D/E  

Institution :Stanford University  

Preoperative Femoral Cartilage T2 Relaxation Time Predicts Change in PROs in Patients with Degenerative Meniscal Tears

7T cross-vendor repeatability study of cartilage T2 values using DOSMA on qDESS images