Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks-Reference-Cited by-同舟云学术

Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks

Published:2020-01 Issue: Volume:358 Page:112623
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Kissas Georgios,Yang Yibo,Hwuang Eileen,Witschey Walter R.,Detre John A.,Perdikaris Paris^ORCID

Funder

Defense Advanced Research Projects Agency

National Science Foundation

Eunice Kennedy Shriver National Institute of Child Health and Human Development

U.S. Department of Energy

National Institute of Biomedical Imaging and Bioengineering

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference69 articles.

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