Joint image reconstruction and segmentation of real-time cardiovascular magnetic resonance imaging i...
Joint image reconstruction and segmentation of real-time cardiovascular magnetic resonance imaging in free-breathing using a model based on disentangled representation learning
About this item
Full title
Author / Creator
Publisher
England: Elsevier Inc
Journal title
Language
English
Formats
Publication information
Publisher
England: Elsevier Inc
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Scope and Contents
Contents
To investigate image quality and agreement of derived cardiac function parameters in a novel joint image reconstruction and segmentation approach based on disentangled representation learning, enabling real-time cardiac cine imaging during free-breathing.
A multi-tasking neural network architecture, incorporating disentangled representation lear...
Alternative Titles
Full title
Joint image reconstruction and segmentation of real-time cardiovascular magnetic resonance imaging in free-breathing using a model based on disentangled representation learning
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11874730
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11874730
Other Identifiers
ISSN
1097-6647
E-ISSN
1532-429X
DOI
10.1016/j.jocmr.2025.101844
