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

Author:Marco Barbieri Lauren Watkins Arjun Desai Valentina Mazzoli Elka Rubin Andrew Schmidt Garry Gold Brian Hargreaves Akshay Chaudhari Feliks Kogan

Session Type:Digital Poster

Session Date:Thursday, 20 May 2021

Topic:Quantitative MSK MRI

Session Name:Quantitative MRI II

Program Number:4234

Room Session:Concurrent 2

Institution:Stanford University

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

Author:Lauren Watkins Andrew Schmidt Elka Rubin Marco Barbieri Arjun Desai Valentina Mazzoli Marianne Black Garry Gold Brian Hargreaves Akshay Chaudhari Feliks Kogan

Session Type:Digital Poster

Session Date:Wednesday, 19 May 2021

Topic:Bone, Cartilage & Joint MRI

Session Name:Cartilage I

Program Number:2954

Room Session:Concurrent 4

Institution:Stanford University

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

Author:Andrew Schmidt Arjun Desai Lauren Watkins Hollis Crowder Elka Rubin Valentina Mazzoli Quin Lu Marianne Black Feliks Kogan Garry Gold Brian Hargreaves Akshay Chaudhari

Session Type:Oral

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence Applied to MSK MRI

Program Number:0809

Room Session:Concurrent 4

Institution:Philips Healthcare North America Stanford University

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

Author:Jeffrey Dominic Arjun Desai Andrew Schmidt Elka Rubin Garry Gold Brian Hargreaves Akshay Chaudhari

Session Type:Digital Poster

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence

Program Number:4056

Room Session:Concurrent 4

Institution:Stanford University

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

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

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

Current Filters

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

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

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

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

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