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

Authors:
; ; ; ; ; ORCiD logo
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1562339
Grant/Contract Number:  
SC0019116
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Computer Methods in Applied Mechanics and Engineering
Additional Journal Information:
Journal Name: Computer Methods in Applied Mechanics and Engineering Journal Volume: 358 Journal Issue: C; Journal ID: ISSN 0045-7825
Publisher:
Elsevier
Country of Publication:
Netherlands
Language:
English

Citation Formats

Kissas, Georgios, Yang, Yibo, Hwuang, Eileen, Witschey, Walter R., Detre, John A., and Perdikaris, Paris. Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks. Netherlands: N. p., 2020. Web. doi:10.1016/j.cma.2019.112623.
Kissas, Georgios, Yang, Yibo, Hwuang, Eileen, Witschey, Walter R., Detre, John A., & Perdikaris, Paris. Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks. Netherlands. doi:10.1016/j.cma.2019.112623.
Kissas, Georgios, Yang, Yibo, Hwuang, Eileen, Witschey, Walter R., Detre, John A., and Perdikaris, Paris. Wed . "Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks". Netherlands. doi:10.1016/j.cma.2019.112623.
@article{osti_1562339,
title = {Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks},
author = {Kissas, Georgios and Yang, Yibo and Hwuang, Eileen and Witschey, Walter R. and Detre, John A. and Perdikaris, Paris},
abstractNote = {},
doi = {10.1016/j.cma.2019.112623},
journal = {Computer Methods in Applied Mechanics and Engineering},
number = C,
volume = 358,
place = {Netherlands},
year = {2020},
month = {1}
}

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This content will become publicly available on September 17, 2020
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