Deep computational model for the inference of ventricular activation properties
Patient-specific cardiac computational models are essential for the efficient realization of
precision medicine and in-silico clinical trials using digital twins. Cardiac digital twins can …
precision medicine and in-silico clinical trials using digital twins. Cardiac digital twins can …
Deep learning-based emulation of human cardiac activation sequences
The vision of digital twins for precision cardiology is to combine expert knowledge and data
of patients' cardiac pathophysiology with advanced computational methods, in order to …
of patients' cardiac pathophysiology with advanced computational methods, in order to …
[HTML][HTML] Inference of ventricular activation properties from non-invasive electrocardiography
The realisation of precision cardiology requires novel techniques for the non-invasive
characterisation of individual patients' cardiac function to inform therapeutic and diagnostic …
characterisation of individual patients' cardiac function to inform therapeutic and diagnostic …
Towards enabling cardiac digital twins of myocardial infarction using deep computational models for inverse inference
Cardiac digital twins (CDTs) have the potential to offer individualized evaluation of cardiac
function in a non-invasive manner, making them a promising approach for personalized …
function in a non-invasive manner, making them a promising approach for personalized …
Real-time whole-heart electromechanical simulations using latent neural ordinary differential equations
Cardiac digital twins provide a physics and physiology informed framework to deliver
predictive and personalized medicine. However, high-fidelity multi-scale cardiac models …
predictive and personalized medicine. However, high-fidelity multi-scale cardiac models …
Hyper-EP: Meta-learning hybrid personalized models for cardiac electrophysiology
X Jiang, S Vadhavkar, Y Ye, M Toloubidokhti… - arXiv preprint arXiv …, 2024 - arxiv.org
Personalized virtual heart models have demonstrated increasing potential for clinical use,
although the estimation of their parameters given patient-specific data remain a challenge …
although the estimation of their parameters given patient-specific data remain a challenge …
[HTML][HTML] Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations
Cardiac digital twins provide a physics and physiology informed framework to deliver
personalized medicine. However, high-fidelity multi-scale cardiac models remain a barrier to …
personalized medicine. However, high-fidelity multi-scale cardiac models remain a barrier to …
Digital twinning of cardiac electrophysiology for congenital heart disease
In recent years, blending mechanistic knowledge with machine learning has had a major
impact in digital healthcare. In this work, we introduce a computational pipeline to build …
impact in digital healthcare. In this work, we introduce a computational pipeline to build …
Cardiac digital twin modeling
A Loewe, P Martínez Díaz, C Nagel… - … treatment strategies for …, 2022 - Springer
A cardiac digital twin is a virtual representation of an individual patient's heart. The
geometric representation of the personalized computational model can be obtained from …
geometric representation of the personalized computational model can be obtained from …
Digital twinning of cardiac electrophysiology models from the surface ECG: a geodesic backpropagation approach
The eikonal equation has become an indispensable tool for modeling cardiac electrical
activation accurately and efficiently. In principle, by matching clinically recorded and eikonal …
activation accurately and efficiently. In principle, by matching clinically recorded and eikonal …