[HTML][HTML] Physics-informed graph neural network emulation of soft-tissue mechanics
D Dalton, D Husmeier, H Gao - Computer Methods in Applied Mechanics …, 2023 - Elsevier
Modern computational soft-tissue mechanics models have the potential to offer unique,
patient-specific diagnostic insights. The deployment of such models in clinical settings has …
patient-specific diagnostic insights. The deployment of such models in clinical settings has …
Polygonal surface processing and mesh generation tools for the numerical simulation of the cardiac function
M Fedele, A Quarteroni - International Journal for Numerical …, 2021 - Wiley Online Library
In order to simulate the cardiac function for a patient‐specific geometry, the generation of the
computational mesh is crucially important. In practice, the input is typically a set of …
computational mesh is crucially important. In practice, the input is typically a set of …
Computational cardiac physiology for new modelers: Origins, foundations, and future
Mathematical models of the cardiovascular system have come a long way since they were
first introduced in the early 19th century. Driven by a rapid development of experimental …
first introduced in the early 19th century. Driven by a rapid development of experimental …
Surrogate models based on machine learning methods for parameter estimation of left ventricular myocardium
L Cai, L Ren, Y Wang, W Xie… - Royal Society open …, 2021 - royalsocietypublishing.org
A long-standing problem at the frontier of biomechanical studies is to develop fast methods
capable of estimating material properties from clinical data. In this paper, we have studied …
capable of estimating material properties from clinical data. In this paper, we have studied …
Uncertainties in the Analysis of Heart Rate Variability: A Systematic Review
Heart rate variability (HRV) is an important metric with a variety of applications in clinical
situations such as cardiovascular diseases, diabetes mellitus, and mental health. HRV data …
situations such as cardiovascular diseases, diabetes mellitus, and mental health. HRV data …
[HTML][HTML] Emulation of cardiac mechanics using Graph Neural Networks
D Dalton, H Gao, D Husmeier - Computer Methods in Applied Mechanics …, 2022 - Elsevier
Abstract Recent progress in Graph Neural Networks (GNNs) has allowed the creation of new
methods for surrogate modelling, or emulation, of complex physical systems to a high level …
methods for surrogate modelling, or emulation, of complex physical systems to a high level …
Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning
We present a new, computationally efficient framework to perform forward uncertainty
quantification (UQ) in cardiac electrophysiology. We consider the monodomain model to …
quantification (UQ) in cardiac electrophysiology. We consider the monodomain model to …
Efficient approximation of cardiac mechanics through reduced‐order modeling with deep learning‐based operator approximation
Reducing the computational time required by high‐fidelity, full‐order models (FOMs) for the
solution of problems in cardiac mechanics is crucial to allow the translation of patient …
solution of problems in cardiac mechanics is crucial to allow the translation of patient …
An implementation of patient-specific biventricular mechanics simulations with a deep learning and computational pipeline
Parameterised patient-specific models of the heart enable quantitative analysis of cardiac
function as well as estimation of regional stress and intrinsic tissue stiffness. However, the …
function as well as estimation of regional stress and intrinsic tissue stiffness. However, the …
Design and execution of a verification, validation, and uncertainty quantification plan for a numerical model of left ventricular flow after LVAD implantation
Background Left ventricular assist devices (LVADs) are implantable pumps that act as a life
support therapy for patients with severe heart failure. Despite improving the survival rate …
support therapy for patients with severe heart failure. Despite improving the survival rate …