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Automated Quantification of Lung Cysts at 0.55T MRI with Image Synthesis from CT using Deep Learning

Author:Ipshita Bhattacharya  Marcus Chen  Joel Moss  Adrienne Campbell-Washburn  Hui Xue  

Institution:National Institutes of Health  

Session Type:Digital Poster  

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

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Image Segmentation  

Program Number:3513  

Room Live Q&A Session:

Comparison of Phase-Contrast Flow Imaging at 0.55T and 1.5T

A pilot investigation into the use of a high-performance 0.55T scanner in CMR late gadolinium enhancement imaging of myocardial infarction

Structural and functional lung imaging using a high performance 0.55T MRI system