129 citations · 371 across the 9 of their papers we have counts for
10 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…
Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks
Luca Pegolotti, Martin R. Pfaller, Natalia L. Rubio +4
Reduced-order models based on physics are a popular choice in cardiovascular modeling due to their efficiency, but they may experience reduced accuracy when working with anatomies…
svMorph: Interactive geometry-editing tools for virtual patient-specific vascular anatomies
Jonathan Pham, Sofia Wyetzner, Martin R. Pfaller +3
We propose svMorph, a framework for interactive virtual sculpting of patient-specific vascular anatomic models. Our framework includes three tools for the creation of tortuosity, a…
A homogenized constrained mixture model of cardiac growth and remodeling: Analyzing mechanobiological stability and reversal
Amadeus M. Gebauer, Martin R. Pfaller, Fabian A. Braeu +2
Cardiac growth and remodeling (G&R) patterns change ventricular size, shape, and function both globally and locally. Biomechanical, neurohormonal, and genetic stimuli drive these p…
Automated generation of 0D and 1D reduced-order models of patient-specific blood flow
Martin R. Pfaller, Jonathan Pham, Aekaansh Verma +5
Three-dimensional (3D) cardiovascular fluid dynamics simulations typically require hours to days of computing time on a high-performance computing cluster. One-dimensional (1D) and…
On the periodicity of cardiovascular fluid dynamics simulations
Martin R. Pfaller, Jonathan Pham, Nathan M. Wilson +2
Three-dimensional cardiovascular fluid dynamics simulations typically require computation of several cardiac cycles before they reach a periodic solution, rendering them computatio…