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Compositional and Morphological Characterization of Knee Articular Cartilage in Collegiate Basketball Players using Multiparametric MRI

Computer Aided Detection AI Reduces Inter-Reader Variability in Grading Hip Abnormalities from MRI

Deep Learning Assisted Full Knee 3D MRI-Based Lesion Severity Staging

Deep Learning Predicts Total Knee Replacement from Magnetic Resonance Images

Discovering MRI Imaging Biomarkers Associated with Progression of Knee Pain Using Deep Learning for Survival Analysis

Do We Need CT for Producing a Fully-Automatic 3D Scapular Model? MRI meets Deep Learning for Scapular Bone Extraction

Author:Francesco Caliva  Victoria Wong  Roland Krug  Drew Lansdown  Valentina Pedoia  

Institution:University of California, San Francisco  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Bone, Cartilage, and Muscle  

Session Name:Bone 2  

Program Number:2783  

Room Live Q&A Session:

Efficient Measurement of Composite Metric R2-R1? in Knee Cartilage

Author:Misung Han  Radhika Tibrewala  Emma Bahroos  Valentina Pedoia  Sharmila Majumdar  

Institution:University of California, San Francisco  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Thursday, 13 August 2020  

Topic:Hot Topics & Cancer  

Session Name:Musculoskeletal 2  

Program Number:1165  

Room Live Q&A Session:Thursday Parallel 1  

Linking multi-joint biomechanics with cartilage composition from qMRI

Author:Koren Roach  Valentina Pedoia  Jinhee Lee  Tijana Popovic  Sharmila Majumdar  Richard Souza  

Institution:University of California San Francisco  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Thursday, 13 August 2020  

Topic:Hot Topics & Cancer  

Session Name:Musculoskeletal 2  

Program Number:1152  

Room Live Q&A Session:Thursday Parallel 1  

Multimodal qMRI Framework for Knee Imaging Biomarker Fusion and Osteoarthritis Prediction

Oriented Object Detection Convolutional Neural Network for Automated Prescription of Oblique MRI Acquisitions

Principal Component Analysis of Simultaneous PET/MRI Reveals Patterns of Cartilage-Bone Interactions in Osteoarthritis

Semi-Quantitative Grading of the Anterior Cruciate Ligament using Deep Learning

T2 Analysis of the Entire Osteoarthritis Initiative Dataset (N=25,729)

Task-Based UltraFast MRI: Simultaneous Image Reconstruction and Tissue Segmentation

To the point: deep learning on dense T2 point clouds for improved feature extraction

Author:Claudia Iriondo  Alaleh Razmjoo  Francesco Caliva  Sharmila Majumdar  Valentina Pedoia  

Institution:University of California, San Francisco  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Thursday, 13 August 2020  

Topic:Hot Topics & Cancer  

Session Name:Musculoskeletal 2  

Program Number:1154  

Room Live Q&A Session:Thursday Parallel 1  

Using anatomic and diffusion MRI with deep convolutional neural networks to distinguish treatment-induced injury from recurrent glioblastoma

Visualizing intrinsic magnetic resonance imaging (MRI) dataset variations in image-space through Bayesian deep auto-encoding