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Accelerated cardiac T1 mapping in four heartbeats with inline MyoMapNet: a deep learning-based T1 estimation approach

Journal of Cardiovascular Magnetic Resonance(2022)10.1186/s12968-021-00834-0Source: DataRank Database

Accelerated cardiac T1 mapping in four heartbeats with inline MyoMapNet: a deep learning-based T1 estimation approach is a research paper published in Journal of Cardiovascular Magnetic Resonance (2022). On theSindex it has a DataRank of 0. It has been cited 44 times.

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Open Access44 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: goldTopics (16)IDs (PubMed)

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Authors (13)

Hossam El‐Rewaidy ORCID,Salah Assana ORCID,Xiaoying Cai ORCID,Amine Amyar ORCID,Kelvin Chow ORCID

Live enrichment

PubMed:30945415

National Institutes of Health

Grant: 5R01HL154744-02

Gadolinium Free Cardiac MR Imaging of Scar and Fibrosis

National Institutes of Health

Grant: 5R01HL129185-08

Cardiovascular MRI Characterization of the Arrhythmogenic Heart in Nonischemic Cardiomyopathy

National Institutes of Health

Grant: 5R01HL129157-04

Myocardial Tissue Characterization with MR Relaxometry in Heart Failure

National Institutes of Health

Grant: 5R01HL127015-03

Imaging Markers of Subclinical Cardiotoxicity in Breast Cancer

goldLicense: cc-by

publisherhttps://jcmr-online.biomedcentral.com/counter/pdf/10.1186/s12968-021-00834-0

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8734349

repositoryhttps://doaj.org/article/2485caf3bef74e0d88ef27b1abb148be

https://doi.org/10.1186/s12968-021-00834-0

https://jcmr-online.biomedcentral.com/track/pdf/10.1186/s12968-021-00834-0

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

ResearchReproducibility of ResultsMyocardial tissue characterizationHeartMagnetic Resonance ImagingDeep LearningHeart RatePredictive Value of TestsRC666-701Inversion-recovery cardiac T1 mappingMachine learningDiseases of the circulatory (Cardiovascular) systemHumansCardiovascular magnetic resonance