5 citations · 13 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
Rapid model-guided design of organ-scale synthetic vasculature for biomanufacturing
Zachary A. Sexton, Andrew R. Hudson, Jessica E. Herrmann +7
Our ability to produce human-scale bio-manufactured organs is critically limited by the need for vascularization and perfusion. For tissues of variable size and shape, including ar…
Branched Latent Neural Maps
Matteo Salvador, Alison Lesley Marsden
We introduce Branched Latent Neural Maps (BLNMs) to learn finite dimensional input-output maps encoding complex physical processes. A BLNM is defined by a simple and compact feedfo…