Automatic cine-based detection of patients at high risk of heart failure with reduced ejection fraction in echocardiograms-Reference-Cited by-同舟云学术

Automatic cine-based detection of patients at high risk of heart failure with reduced ejection fraction in echocardiograms

Published:2019-10-07 Issue:5 Volume:8 Page:502-508
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Behnami Delaram¹,Luong Christina²³,Vaseli Hooman¹,Girgis Hany²³,Abdi Amir¹,Hawley Dale²,Gin Ken²³,Rohling Robert¹,Abolmaesumi Purang¹,Tsang Teresa²³

Affiliation:

1. Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada

2. Vancouver Coastal Health, Vancouver, Canada

3. Department of Cardiology, University of British Columbia, Vancouver, Canada

Funder

Canadian Institutes of Health Research

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

Reference27 articles.

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2. Automatic classification of heart failure based on Cine-CMR images;International Journal of Computer Assisted Radiology and Surgery;2023-11-03