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20-min Pediatric Cardiovascular Magnetic Resonance without Contrast or Anesthesia: Initial Evaluation in Kids with Congenital Heart Disease

Fully Automated Intracranial Vessel Angiogram Segmentation from 4D flow MRI Data in Intracranial Stenosis Patients using Deep Learning

Author:Haben Berhane  Maria Aristova  Yue Ma  Michael Markl  Susanne Schnell  

Institution:Lurie Children's Hospital of Chicago  Northwestern University  

Session Type:Digital Poster  

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

Topic:Neurovascular  

Session Name:Neurovascular: MRA, Reactivity & Flow 2  

Program Number:1665  

Room Live Q&A Session:

Fully Automated Multivendor and Multisite Artificial Intelligence-based 3D Segmentation of the Proximal Arteries from 4D flow MRI

Non-invasive cardiac magnetic resonance blood oxygenation mapping in complex congenital heart disease

SADDLE: A Stand Alone Device for Deep Learning Execution

Standardized Evaluation of Cerebral Arteriovenous Malformations using Flow Distribution Network Graphs and Dual-venc 4D Flow MRI

Standardized Evaluation of Cerebral Arteriovenous Malformations using Flow Distribution Network Graphs and Dual-venc 4D Flow MRI

Verification of fully automated deep learning-based 4D segmentation of the thoracic aorta from 4D flow MRI