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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:

Correcting for T2* related blurring in spiral MR:  A novel method compensating for spatial variations in T2*

Deep Residual Grappa (DeepGrappa): A General Purpose Self-calibrated AI based MR Reconstruction

Author:Hui Xue  James Moon  Peter Kellman  

Institution:Barts Heart Centre, Barts Health NHS Trust  NHLBI, NIH  

Session Type:Digital Poster  

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

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 4  

Program Number:3640  

Room Live Q&A Session:

Evaluation of severe hepatic iron overload using a high-performance 0.55T MRI system

Author:Adrienne Campbell-Washburn  Christine Mancini  Anna Conrey  Lanelle Edwards  Hui Xue  Peter Kellman  W. Bandettini  Swee Lay Thein  

Institution:National Institutes of Health  

Session Type:Digital Poster  

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

Topic:Abdominopelvic MRI - Benign  

Session Name:Liver: Iron & Bile  

Program Number:2537  

Room Live Q&A Session:

Iron overload detection in extra-hepatic organs on a high-performance 0.55T scanner

Author:Christine Mancini  W. Patricia Bandettini  Peter Kellman  Hui Xue  Anna Conrey  Swee Lay Thein  Adrienne Campbell-Washburn  

Institution:National Institutes of Health  

Session Type:SMRT Poster Presentations  

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

Topic:

Session Name:SMRT Poster Tour Part 2  

Program Number:S51  

Room Live Q&A Session:

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