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AParsimoniousAssessment ofBreastDensityClasses fromQuantitative, AI-basedFGTVolumeSegmentations

Author:Pablo Damasceno  Tatiana Kelil  Rutwik Shah  Bruno Nunes  Jason Crane  Sharmila Majumdar  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Breast: What's New  

Session Name:Breast: DWI, AI & Emerging Techniques  

Program Number:1121  

Room Session:Concurrent 7  

Institution:University of California San Francisco  

Assessment of the potential of a Deep Learning Knee Segmentation and Anomaly Detection Tool in the clinical routine

Author:Laura Carretero  Pablo García-Polo  Suryanarayanan Kaushik  Maggie Fung  Bruno Astuto  Rutwik Shah  Pablo F Damasceno  Valentina Pedoia  Sharmila Majumdar  Mario Padrón  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Artificial Intelligence Applied to MSK MRI  

Session Name:Artificial Intelligence  

Program Number:4048  

Room Session:Concurrent 4  

Institution:Clínica Cemtro  GE Healthcare  UCSF  

Characterizing Knee Osteoarthritis Progression with Structural Phenotypes using MRI and Deep Learning

Author:Nikan Namiri  Jinhee Lee  Bruno Astuto  Felix Liu  Rutwik Shah  Sharmila Majumdar  Valentina Pedoia  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Artificial Intelligence Applied to MSK MRI  

Session Name:Artificial Intelligence  

Program Number:4045  

Room Session:Concurrent 4  

Institution:University of California, San Francisco  

State of the ART (Adversarial Robust Training) to Reconstruct Clinically Relevant Features in Accelerated Knee MRI

Author:Francesco Caliva  Victor Cheng  Rutwik Shah  Misung Han  Sharmila Majumdar  Valentina Pedoia  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Quantitative MSK MRI  

Session Name:Quantitative MRI I  

Program Number:4213  

Room Session:Concurrent 2  

Institution:University of California Berkeley  University of California San Francisco  

Swarm intelligence: a novel clinical strategy for improving imaging annotation accuracy, using wisdom of the crowds.

Author:Rutwik Shah  Bruno Astuto Arouche Nunes  Tyler Gleason  Justin Banaga  Kevin Sweetwood  Allen Ye  Will Fletcher  Rina Patel  Kevin McGill  Thomas Link  Valentina Pedoia  Sharmila Majumdar  Jason Crane  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2420  

Room Session:Concurrent 1  

Institution:University of California San Francisco