Computational fluid dynamics (CFD) modeling of blood flow plays an important role in better
understanding various medical conditions, designing more effective drug delivery systems …

Aortic aneurysm is a cardiovascular disease related to the alteration of the aortic tissue. It is
an important cause of death in developed countries, especially for older patients. The …

Constitutive modeling is a cornerstone for stress analysis of mechanical behaviors of
biological soft tissues. Recently, it has been shown that machine learning (ML) techniques …

Numerical analysis methods including finite element analysis (FEA), computational fluid
dynamics (CFD), and fluid–structure interaction (FSI) analysis have been used to study the …

The patient-specific biomechanical analysis of the aorta requires the quantification of the in
vivo mechanical properties of individual patients. Current inverse approaches have …

Cardiovascular disease (CVD) is the most common cause of morbidity and mortality
worldwide, and early accurate diagnosis is the key point for improving and optimizing the …

Accurate identification of in vivo nonlinear, anisotropic mechanical properties of the aortic
wall of individual patients remains to be one of the critical challenges in the field of …

Knowledges of both local stress and strength are needed for a reliable evaluation of the
rupture risk for ascending thoracic aortic aneurysm (ATAA). In this study, machine learning is …

Myocardial mechanical remodeling occurs in several structural heart diseases altering the
mechanical properties of the myocardium. Estimating mechanical properties of the …

In this paper, we propose a novel formulation extending convolutional neural networks
(CNN) to arbitrary two‐dimensional manifolds using orthogonal basis functions called …