Mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall-Reference-Cited by-同舟云学术

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Mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall

Published:2024-05 Issue: Volume:173 Page:108328
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Suk Julian^ORCID,de Haan Pim,Lippe Phillip^ORCID,Brune Christoph,Wolterink Jelmer M.^ORCID

Publisher

Elsevier BV

Reference54 articles.

1. Computational fluid dynamics applied to cardiac computed tomography for noninvasive quantification of fractional flow reserve;Taylor;J. Am. Coll. Cardiol.,2013

2. Image-based computational fluid dynamics modeling in realistic arterial geometries;Steinman;Ann. Biomed. Eng.,2002

3. Comparison of coronary computed tomography angiography, fractional flow reserve, and perfusion imaging for ischemia diagnosis;Driessen;J. Am. Coll. Cardiol.,2019

4. Patient-specific modeling of blood flow in the coronary arteries;Taylor;Comput. Methods Appl. Mech. Engrg.,2023

5. Blood flow and shear stress allow monitoring of progression and prognosis of tumor diseases;Barral;Front. Physiol.,2021

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