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Assessment of Synovitis in Osteoarthritis Using Non-Contrast Quantitative DESS

B1 Field Inhomogeneity Correction for qDESS T2 Mapping: Application to Rapid Bilateral Knee Imaging

A Comparison of Synovitis Severity in the Knee Assessed Using Contrast-Enhanced MRI and FDG-PET

Examining short-term longitudinal and activity-based variability of femoral cartilage T2 relaxation times in healthy subjects

Generalizability of Deep-Learning Segmentation Algorithms for Measuring Cartilage and Meniscus Morphology and T2 Relaxation Times

A Method for Measuring B0 Field Inhomogeneity using Quantitative DESS (qDESS)

Author:Marco Barbieri  Akshay Chaudhari  Catherine Moran  Garry Gold  Brian Hargreaves  Feliks Kogan  

Session Type:Oral  

Session Date:Thursday, 20 May 2021  

Topic:Quantitative MSK MRI  

Session Name:Quantitative MSK MRI  

Program Number:0843  

Room Session:Concurrent 2  

Institution:Stanford University  

MRSaiFE: towards the real-time prediction of tissue heating in MRI - a feasibility study

Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising using Limited Data

Self-Supervised Deep Learning for Knee MRI Segmentation using Limited Labeled Training Datasets

Using Untrained Convolutional Neural Networks to Accelerate MRI in 2D and 3D

Weakly Supervised MR Image Reconstruction usingUntrained Neural Networks