Automatic segmentation of the great arteries for computational hemodynamic assessment. (2022)
Attributed to:
Towards 10-minute Magnetic Resonance Scanning in Children - Developing Accelerated Imaging Using Machine Learning
funded by
FLF
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1186/s12968-022-00891-z
PubMed Identifier: 36336682
Publication URI: http://europepmc.org/abstract/MED/36336682
Type: Journal Article/Review
Volume: 24
Parent Publication: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Issue: 1
ISSN: 1097-6647