activity
20242026
most citedFSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method

21 citations · 23 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CE2026

SDFStent: Real-time interactive virtual stenting via SDF deformation fields

Bohan J. Li, Nicholas C. Dorn, Andras Lasso +4

Stenting is among the most common transcatheter interventions for congenital heart disease (CHD). Patient-specific computational fluid dynamics (CFD) simulations can predict hemody…

cs.CE2025

Data-Driven Bifurcation Handling in Physics-Based Reduced-Order Vascular Hemodynamic Models

Natalia L. Rubio, Eric F. Darve, Alison L. Marsden

Three-dimensional (3D) finite-element simulations of cardiovascular flows provide high-fidelity predictions to support cardiovascular medicine, but their high computational cost li…

physics.flu-dyn2024

Personalized and uncertainty-aware coronary hemodynamics simulations: From Bayesian estimation to improved multi-fidelity uncertainty quantification

Karthik Menon, Andrea Zanoni, Owais Khan +4

Simulations of coronary hemodynamics have improved non-invasive clinical risk stratification and treatment outcomes for coronary artery disease, compared to relying on anatomical i…

cs.CE2024★ 2 cited

Bayesian Windkessel calibration using optimized 0D surrogate models

Jakob Richter, Jonas Nitzler, Luca Pegolotti +6

Boundary condition (BC) calibration to assimilate clinical measurements is an essential step in any subject-specific simulation of cardiovascular fluid dynamics. Bayesian calibrati…

cs.CE2024★ 21 cited

FSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method

Martin R. Pfaller, Marcos Latorre, Erica L. Schwarz +4

Equilibrated fluid-solid-growth (FSGe) is a fast, open source, three-dimensional (3D) computational platform for simulating interactions between instantaneous hemodynamics and long…