190 citations · 372 across the 9 of their papers we have counts for
9 papers
A Fluid-Solid-Growth Solver for Cardiovascular Modeling
Erica L. Schwarz, Martin R. Pfaller, Jason M. Szafron +5
We implement full, three-dimensional constrained mixture theory for vascular growth and remodeling into a finite element fluid-structure interaction (FSI) solver. The resulting "fl…
A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes
Minglang Yin, Zongren Zou, Enrui Zhang +3
Quantifying biomechanical properties of the human vasculature could deepen our understanding of cardiovascular diseases. Standard nonlinear regression in constitutive modeling requ…
A systematic comparison between Membrane, Shell, and 3D Solid formulations for non-linear vascular biomechanics
Nitesh Nama, Miquel Aguirre, Rogelio Ortigosa +3
Typical computational techniques for vascular biomechanics represent the blood vessel wall via either a membrane, a shell, or a 3D solid element. Each of these formulations has its…
G2Φnet: Relating Genotype and Biomechanical Phenotype of Tissues with Deep Learning
Enrui Zhang, Bart Spronck, Jay D. Humphrey +1
Many genetic mutations adversely affect the structure and function of load-bearing soft tissues, with clinical sequelae often responsible for disability or death. Parallel advances…
Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms
Somdatta Goswami, David S. Li, Bruno V. Rego +3
Thoracic aortic aneurysm (TAA) is a localized dilatation of the aorta resulting from compromised wall composition, structure, and function, which can lead to life-threatening disse…
Simulating progressive intramural damage leading to aortic dissection using an operator-regression neural network
Minglang Yin, Ehsan Ban, Bruno V. Rego +4
Aortic dissection progresses via delamination of the medial layer of the wall. Notwithstanding the complexity of this process, insight has been gleaned by studying in vitro and in…
What do cells regulate in soft tissues on short time scales?
Jonas F. Eichinger, Daniel Paukner, Roland C. Aydin +3
Cells within living soft biological tissues seem to promote the maintenance of a mechanical state within a defined range near a so-called set-point. This mechanobiological process…
A computational framework for modeling cell-matrix interactions in soft biological tissues
Jonas F. Eichinger, Maximilian J. Grill, Iman Davoodi Kermani +4
Living soft tissues appear to promote the development and maintenance of a preferred mechanical state within a defined tolerance around a so-called set-point. This phenomenon is of…
Non-invasive Inference of Thrombus Material Properties with Physics-informed Neural Networks
Minglang Yin, Xiaoning Zheng, Jay D. Humphrey +1
We employ physics-informed neural networks (PINNs) to infer properties of biological materials using synthetic data. In particular, we successfully apply PINNs on inferring the thr…