Machine learning for the automatic assessment of aortic rotational flow and wall shear stress from 4D flow cardiac magnetic resonance imaging

被引:0
作者
Juan Garrido-Oliver
Jordina Aviles
Marcos Mejía Córdova
Lydia Dux-Santoy
Aroa Ruiz-Muñoz
Gisela Teixido-Tura
Gonzalo D. Maso Talou
Xabier Morales Ferez
Guillermo Jiménez
Arturo Evangelista
Ignacio Ferreira-González
Jose Rodriguez-Palomares
Oscar Camara
Andrea Guala
机构
[1] Vall d’Hebron Institute of Research,Physense, BCN Medtech, Department of Information and Communications Technologies
[2] Universitat Pompeu Fabra,Department of Cardiology
[3] Hospital Vall d’Hebron Universitat Autonoma de Barcelona,undefined
[4] CIBER-CV,undefined
[5] Instituto de Salud Carlos III,undefined
[6] Auckland Bioengineering Institute,undefined
[7] CIBER-ESP,undefined
[8] Instituto de Salud Carlos III,undefined
[9] Universitat Autonoma de Barcelona,undefined
来源
European Radiology | 2022年 / 32卷
关键词
Magnetic resonance; Machine learning; Artificial intelligence; Aneurysm; Aorta;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:7117 / 7127
页数:10
相关论文
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