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 …
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 …
Cardiac Digital Twin Pipeline for Virtual Therapy Evaluation
Cardiac digital twins are computational tools capturing key functional and anatomical
characteristics of patient hearts for investigating disease phenotypes and predicting …
characteristics of patient hearts for investigating disease phenotypes and predicting …
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 …
Branched latent neural maps
M Salvador, AL Marsden - Computer Methods in Applied Mechanics and …, 2024 - Elsevier
Abstract We introduce Branched Latent Neural Maps (BLNMs) to learn finite dimensional
input–output maps encoding complex physical processes. A BLNM is defined by a simple …
input–output maps encoding complex physical processes. A BLNM is defined by a simple …
Branched Latent Neural Operators
M Salvador, AL Marsden - arXiv preprint arXiv:2308.02599, 2023 - arxiv.org
We introduce Branched Latent Neural Operators (BLNOs) to learn input-output maps
encoding complex physical processes. A BLNO is defined by a simple and compact …
encoding complex physical processes. A BLNO is defined by a simple and compact …
pyCEPS: A cross-platform Electroanatomic Mapping Data to Computational Model Conversion Platform for the Calibration of Digital Twin Models of Cardiac …
R Arnold, AJ Prassl, A Neic, F Thaler… - arXiv preprint arXiv …, 2024 - arxiv.org
Background and Objective: Data from electro-anatomical mapping (EAM) systems are
playing an increasingly important role in computational modeling studies for the patient …
playing an increasingly important role in computational modeling studies for the patient …
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 …
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 …
Personalized Topology-Informed 12-Lead ECG Electrode Localization from Incomplete Cardiac MRIs for Efficient Cardiac Digital Twins
Cardiac digital twins (CDTs) offer personalized\textit {in-silico} cardiac representations for
the inference of multi-scale properties tied to cardiac mechanisms. The creation of CDTs …
the inference of multi-scale properties tied to cardiac mechanisms. The creation of CDTs …