Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis.

Suinesiaputra, Avan; Mauger, Charlène A; Ambale-Venkatesh, Bharath; Bluemke, David A; Dam Gade, Josefine; Gilbert, Kathleen; Janse, Markus H A; Hald, Line Sofie; Werkhoven, Conrad; Wu, Colin O; Lima, Joao A C; Young, Alistair A

Suinesiaputra, Avan; Mauger, Charlène A; Ambale-Venkatesh, Bharath; Bluemke, David A; Dam Gade, Josefine; Gilbert, Kathleen; Janse, Markus H A; Hald, Line Sofie; Werkhoven, Conrad; Wu, Colin O; Lima, Joao A C; Young, Alistair A.

Afiliação

Suinesiaputra A; Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand.
Mauger CA; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Ambale-Venkatesh B; Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand.
Bluemke DA; Johns Hopkins Medical Center, Baltimore, MD, United States.
Dam Gade J; Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States.
Gilbert K; Department of Biomedical Engineering and Informatics, School of Medicine and Health, Aalborg University, Aalborg, Denmark.
Janse MHA; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Hald LS; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands.
Werkhoven C; Department of Biomedical Engineering and Informatics, School of Medicine and Health, Aalborg University, Aalborg, Denmark.
Wu CO; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Lima JAC; Division of Intramural Research, National Heart, Lung and Blood Institute, National Institutes of Health, Baltimore, MD, United States.
Young AA; Johns Hopkins Medical Center, Baltimore, MD, United States.

Front Cardiovasc Med ; 8: 807728, 2021.

Article em En | MEDLINE | ID: mdl-35127868

Palavras-chave

MRI; cardiac anatomy; deep learning; left ventricle; machine learning

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Cardiovasc Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Nova Zelândia

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google