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 …
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 …
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 …
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] 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 …
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 …
Towards the development of virtual heart technology for creating digital twins of cardiac electrophysiology
Introduction: Virtual heart technologies (VHTs) promise to offer an detailed view on cardiac
electrophysiology (EP). However, only very few VHTs simulating EP of four-chamber hearts …
electrophysiology (EP). However, only very few VHTs simulating EP of four-chamber hearts …
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 …
EP-Net: learning cardiac electrophysiology models for physiology-based constraints in data-driven predictions
Cardiac electrophysiology (EP) models achieved good pro gress in simulating cardiac
electrical activity. However numerical issues and computational times hamper clinical …
electrical activity. However numerical issues and computational times hamper clinical …
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 …