[HTML][HTML] Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation
The complexity of cardiac electrophysiology, involving dynamic changes in numerous
components across multiple spatial (from ion channel to organ) and temporal (from …
components across multiple spatial (from ion channel to organ) and temporal (from …
Fat infiltration in the infarcted heart as a paradigm for ventricular arrhythmias
Infiltrating adipose tissue (inFAT) has been recently found to co-localize with scar in
infarcted hearts and may contribute to ventricular arrhythmias (VAs), a life-threatening heart …
infarcted hearts and may contribute to ventricular arrhythmias (VAs), a life-threatening heart …
Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation
The complexity of cardiac electrophysiology, involving dynamic changes in numerous
components across multiple spatial (from ion channel to organ) and temporal (from …
components across multiple spatial (from ion channel to organ) and temporal (from …
Evaluation of an open-source pipeline to create patient-specific left atrial models: a reproducibility study
This work presents an open-source software pipeline to create patient-specific left atrial
models with fibre orientations and a fibrDEFAULTosis map, suitable for electrophysiology …
models with fibre orientations and a fibrDEFAULTosis map, suitable for electrophysiology …
A scalable framework for learning the geometry-dependent solution operators of partial differential equations
Solving partial differential equations (PDEs) using numerical methods is a ubiquitous task in
engineering and medicine. However, the computational costs can be prohibitively high …
engineering and medicine. However, the computational costs can be prohibitively high …
Dimon: Learning solution operators of partial differential equations on a diffeomorphic family of domains
The solution of a PDE over varying initial/boundary conditions on multiple domains is
needed in a wide variety of applications, but it is computationally expensive if the solution is …
needed in a wide variety of applications, but it is computationally expensive if the solution is …
Bayesian calibration of electrophysiology models using restitution curve emulators
Calibration of cardiac electrophysiology models is a fundamental aspect of model
personalization for predicting the outcomes of cardiac therapies, simulation testing of device …
personalization for predicting the outcomes of cardiac therapies, simulation testing of device …
Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate
SF Bifulco, GD Scott, S Sarairah, Z Birjandian… - Elife, 2021 - elifesciences.org
Cardiac magnetic resonance imaging (MRI) has revealed fibrosis in embolic stroke of
undetermined source (ESUS) patients comparable to levels seen in atrial fibrillation (AFib) …
undetermined source (ESUS) patients comparable to levels seen in atrial fibrillation (AFib) …
Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification
Computational models of atrial fibrillation have successfully been used to predict optimal
ablation sites. A critical step to assess the effect of an ablation pattern is to pace the model …
ablation sites. A critical step to assess the effect of an ablation pattern is to pace the model …
Anti-and pro-fibrillatory effects of pulmonary vein isolation gaps in human atrial fibrillation digital twins
Although pulmonary vein isolation (PVI) gaps and extrapulmonary vein triggers contribute to
recurrence after atrial fibrillation (AF) ablation, their precise mechanisms remain unproven …
recurrence after atrial fibrillation (AF) ablation, their precise mechanisms remain unproven …