Artificial intelligence, computational simulations, and extended reality in cardiovascular interventions
Artificial intelligence, computational simulations, and extended reality, among other 21st
century computational technologies, are changing the health care system. To collectively …
century computational technologies, are changing the health care system. To collectively …
Accelerated simulation methodologies for computational vascular flow modelling
M MacRaild, A Sarrami-Foroushani… - Journal of the …, 2024 - royalsocietypublishing.org
Vascular flow modelling can improve our understanding of vascular pathologies and aid in
developing safe and effective medical devices. Vascular flow models typically involve …
developing safe and effective medical devices. Vascular flow models typically involve …
[图书][B] Mathematical modelling of the human cardiovascular system: data, numerical approximation, clinical applications
Mathematical and numerical modelling of the human cardiovascular system has attracted
remarkable research interest due to its intrinsic mathematical difficulty and the increasing …
remarkable research interest due to its intrinsic mathematical difficulty and the increasing …
An extended physics informed neural network for preliminary analysis of parametric optimal control problems
In this work we propose an application of physics informed supervised learning strategies to
parametric partial differential equations. Indeed, even if the latter are indisputably useful in …
parametric partial differential equations. Indeed, even if the latter are indisputably useful in …
[图书][B] Advanced reduced order methods and applications in computational fluid dynamics
Reduced order modeling is an important and fast-growing research field in computational
science and engineering, motivated by several reasons, of which we mention just a few …
science and engineering, motivated by several reasons, of which we mention just a few …
Data-driven reduced order modelling for patient-specific hemodynamics of coronary artery bypass grafts with physical and geometrical parameters
In this work the development of a machine learning-based Reduced Order Model (ROM) for
the investigation of hemodynamics in a patient-specific configuration of Coronary Artery …
the investigation of hemodynamics in a patient-specific configuration of Coronary Artery …
Registration-based model reduction of parameterized two-dimensional conservation laws
We propose a nonlinear registration-based model reduction procedure for rapid and reliable
solution of parameterized two-dimensional steady conservation laws. This class of problems …
solution of parameterized two-dimensional steady conservation laws. This class of problems …
Cardiovascular care with digital twin technology in the era of generative artificial intelligence
Digital twins, which are in silico replications of an individual and its environment, have
advanced clinical decision-making and prognostication in cardiovascular medicine. The …
advanced clinical decision-making and prognostication in cardiovascular medicine. The …
Combined parameter and model reduction of cardiovascular problems by means of active subspaces and POD-Galerkin methods
In this chapter we introduce a combined parameter and model reduction methodology and
present its application to the efficient numerical estimation of a pressure drop in a set of …
present its application to the efficient numerical estimation of a pressure drop in a set of …
Reduced order methods for parametric optimal flow control in coronary bypass grafts, toward patient‐specific data assimilation
Coronary artery bypass grafts (CABG) surgery is an invasive procedure performed to
circumvent partial or complete blood flow blockage in coronary artery disease. In this work …
circumvent partial or complete blood flow blockage in coronary artery disease. In this work …