3 citations · 11 across the 10 of their papers we have counts for
10 papers
svMultiPhysics: a finite element-based solver for cardiovascular simulations
David Codoni, Sujal Dave, David W. Parker +10
Heart disease remains the leading cause of death in the United States, motivating extensive efforts to improve its diagnosis, treatment, and prevention. Over the past decade, compu…
Data assimilation of flow MRI data into RANS models with algebraic closures
C. Namuroy, M. P. Juniper, P. Nair +4
We adopt the Bayesian inference framework to solve an inverse Reynolds-Averaged Navier-Stokes (RANS) problem for the approximate posterior probability distribution of the turbulenc…
Cardiac mechanics modeling: recent developments and current challenges
Aaron L. Brown, Ju Liu, Daniel B. Ennis +1
Patient-specific computational models of the heart are powerful tools for cardiovascular research and medicine, with demonstrated applications in treatment planning, device evaluat…
Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology
Matteo Salvador, Alison L. Marsden
Scientific Machine Learning (ML) is gaining momentum as a cost-effective alternative to physics-based numerical solvers in many engineering applications. In fact, scientific ML is…
Neural active manifolds: nonlinear dimensionality reduction for uncertainty quantification
Andrea Zanoni, Gianluca Geraci, Matteo Salvador +2
We present a new approach for nonlinear dimensionality reduction, specifically designed for computationally expensive mathematical models. We leverage autoencoders to discover a on…
Hybrid Physics-Based and Data-Driven Modeling of Vascular Bifurcation Pressure Differences
Natalia L. Rubio, Luca Pegolotti, Martin R. Pfaller +2
Reduced-order models (ROMs) allow for the simulation of blood flow in patient-specific vasculatures without the high computational cost and wait time associated with traditional co…
Improved multifidelity Monte Carlo estimators based on normalizing flows and dimensionality reduction techniques
Andrea Zanoni, Gianluca Geraci, Matteo Salvador +3
We study the problem of multifidelity uncertainty propagation for computationally expensive models. In particular, we consider the general setting where the high-fidelity and low-f…
SDF4CHD: Generative Modeling of Cardiac Anatomies with Congenital Heart Defects
Fanwei Kong, Sascha Stocker, Perry S. Choi +3
Congenital heart disease (CHD) encompasses a spectrum of cardiovascular structural abnormalities, often requiring customized treatment plans for individual patients. Computational…
A Modular Framework for Implicit 3D-0D Coupling in Cardiac Mechanics
Aaron L. Brown, Matteo Salvador, Lei Shi +6
In numerical simulations of cardiac mechanics, coupling the heart to a model of the circulatory system is essential for capturing physiological cardiac behavior. A popular and effi…
Hemodynamic Effects of Entry and Exit Tear Size in Aortic Dissection Evaluated with In Vitro Magnetic Resonance Imaging and Fluid-Structure Interaction Simulation
Judith Zimmermann, Kathrin Bäumler, Michael Loecher +4
Understanding the complex interplay between morphologic and hemodynamic features in aortic dissection is critical for risk stratification and for the development of individualized…