Deep learning for computational hemodynamics: A brief review of recent advances

A Taebi - Fluids, 2022 - mdpi.com
Computational fluid dynamics (CFD) modeling of blood flow plays an important role in better
understanding various medical conditions, designing more effective drug delivery systems …

[HTML][HTML] Beyond CFD: Emerging methodologies for predictive simulation in cardiovascular health and disease

EL Schwarz, L Pegolotti, MR Pfaller… - Biophysics Reviews, 2023 - pubs.aip.org
Physics-based computational models of the cardiovascular system are increasingly used to
simulate hemodynamics, tissue mechanics, and physiology in evolving healthy and …

Learning reduced-order models for cardiovascular simulations with graph neural networks

L Pegolotti, MR Pfaller, NL Rubio, K Ding… - Computers in Biology …, 2024 - Elsevier
Reduced-order models based on physics are a popular choice in cardiovascular modeling
due to their efficiency, but they may experience loss in accuracy when working with …

[HTML][HTML] Deep learning-based surrogate model for three-dimensional patient-specific computational fluid dynamics

P Du, X Zhu, JX Wang - Physics of Fluids, 2022 - pubs.aip.org
Optimization and uncertainty quantification have been playing an increasingly important role
in computational hemodynamics. However, existing methods based on principled modeling …

Improved multifidelity Monte Carlo estimators based on normalizing flows and dimensionality reduction techniques

A Zanoni, G Geraci, M Salvador, K Menon… - Computer Methods in …, 2024 - Elsevier
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-fidelity …

Influence of abdominal aortic aneurysm shape on hemodynamics in human aortofemoral arteries: A transient open-loop study

S Kumar, BV Kumar, SK Rai - Physics of Fluids, 2023 - pubs.aip.org
New imaging methods have enabled the detection of unruptured abdominal aortic
aneurysms (AAA). It is necessary to develop appropriate mathematical models for rupture …

Physics-constrained coupled neural differential equations for one dimensional blood flow modeling

H Csala, A Mohan, D Livescu, A Arzani - Computers in Biology and …, 2025 - Elsevier
Background: Computational cardiovascular flow modeling plays a crucial role in
understanding blood flow dynamics. While 3D models provide acute details, they are …

Global sensitivity analysis with multifidelity Monte Carlo and polynomial chaos expansion for vascular haemodynamics

F Schäfer, DE Schiavazzi, LR Hellevik… - … Journal for Numerical …, 2024 - Wiley Online Library
Computational models of the cardiovascular system are increasingly used for the diagnosis,
treatment, and prevention of cardiovascular disease. Before being used for translational …

Enhancing cardiac assessments: accurate and efficient prediction of quantitative fractional flow reserve

A Eskandari, S Malek, A Jabbari, K Javari… - … in Bioengineering and …, 2025 - frontiersin.org
Background Obstruction within the left anterior descending coronary artery (LAD) is
prevalent, serving as a prominent and independent predictor of mortality. Invasive Fractional …

Estimating pulmonary arterial remodeling via an animal-specific computational model of pulmonary artery stenosis

CJ Kozitza, MJ Colebank, JP Gonzalez-Pereira… - … and Modeling in …, 2024 - Springer
Pulmonary artery stenosis (PAS) often presents in children with congenital heart disease,
altering blood flow and pressure during critical periods of growth and development …