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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 …
understanding various medical conditions, designing more effective drug delivery systems …
[HTML][HTML] Beyond CFD: Emerging methodologies for predictive simulation in cardiovascular health and disease
Physics-based computational models of the cardiovascular system are increasingly used to
simulate hemodynamics, tissue mechanics, and physiology in evolving healthy and …
simulate hemodynamics, tissue mechanics, and physiology in evolving healthy and …
Learning reduced-order models for cardiovascular simulations with graph neural networks
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 …
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
Optimization and uncertainty quantification have been playing an increasingly important role
in computational hemodynamics. However, existing methods based on principled modeling …
in computational hemodynamics. However, existing methods based on principled modeling …
Improved multifidelity Monte Carlo estimators based on normalizing flows and dimensionality reduction techniques
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 …
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
New imaging methods have enabled the detection of unruptured abdominal aortic
aneurysms (AAA). It is necessary to develop appropriate mathematical models for rupture …
aneurysms (AAA). It is necessary to develop appropriate mathematical models for rupture …
Physics-constrained coupled neural differential equations for one dimensional blood flow modeling
Background: Computational cardiovascular flow modeling plays a crucial role in
understanding blood flow dynamics. While 3D models provide acute details, they are …
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
Computational models of the cardiovascular system are increasingly used for the diagnosis,
treatment, and prevention of cardiovascular disease. Before being used for translational …
treatment, and prevention of cardiovascular disease. Before being used for translational …
Enhancing cardiac assessments: accurate and efficient prediction of quantitative fractional flow reserve
Background Obstruction within the left anterior descending coronary artery (LAD) is
prevalent, serving as a prominent and independent predictor of mortality. Invasive Fractional …
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
Pulmonary artery stenosis (PAS) often presents in children with congenital heart disease,
altering blood flow and pressure during critical periods of growth and development …
altering blood flow and pressure during critical periods of growth and development …