Fully Automated, Quality-Controlled Cardiac Analysis From CMR | Zendy

Bram Ruijsink | Zendy; Esther PuyolAntón | Zendy; İlkay Öksüz | Zendy; Matthew Sinclair | Zendy; Wenjia Bai | Zendy; Julia A. Schnabel | Zendy; Reza Razavi | Zendy; Andrew P. King | Zendy

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Fully Automated, Quality-Controlled Cardiac Analysis From CMR

Author(s) -

Bram Ruijsink,

Esther PuyolAntón,

İlkay Öksüz,

Matthew Sinclair,

Wenjia Bai,

Julia A. Schnabel,

Reza Razavi,

Andrew P. King

Publication year - 2019

Publication title -

jacc. cardiovascular imaging

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 5.79

H-Index - 120

eISSN - 1936-878X

pISSN - 1876-7591

DOI - 10.1016/j.jcmg.2019.05.030

Subject(s) - feature tracking , cardiac magnetic resonance imaging , cardiac magnetic resonance , medicine , segmentation , artificial intelligence , cardiac imaging , cardiac function curve , ejection fraction , cardiology , magnetic resonance imaging , computer science , pattern recognition (psychology) , radiology , heart failure

This study sought to develop a fully automated framework for cardiac function analysis from cardiac magnetic resonance (CMR), including comprehensive quality control (QC) algorithms to detect erroneous output.

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