Simone Pezzuto
Orcid: 0000-0002-7432-0424
According to our database1,
Simone Pezzuto
authored at least 30 papers
between 2014 and 2024.
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Bibliography
2024
Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach.
IEEE Trans. Biomed. Eng., April, 2024
Eng. Appl. Artif. Intell., January, 2024
Explicit stabilized multirate methods for the monodomain model in cardiac electrophysiology.
CoRR, 2024
2023
CoRR, 2023
CoRR, 2023
Boundary Integral Formulation of the Cell-by-Cell Model of Cardiac Electrophysiology.
CoRR, 2023
Effect of Gap Junction Distribution, Size, and Shape on the Conduction Velocity in a Cell-by-Cell Model for Electrophysiology.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
On the Accuracy of Eikonal Approximations in Cardiac Electrophysiology in the Presence of Fibrosis.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
A Novel Mapping Strategy of Repetitive Patterns in Consecutive Recordings to Localize Atrial Fibrillation Sources: an In-Silico Study.
Proceedings of the Computing in Cardiology, 2023
2022
Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps.
Eng. Comput., 2022
Learning cardiac activation maps from 12-lead ECG with multi-fidelity Bayesian optimization on manifolds.
CoRR, 2022
CoRR, 2022
Computer Simulations of Composite Maps for Detection of Atrial Fibrillation Mechanisms.
Proceedings of the Computing in Cardiology, 2022
Fibrosis Reduces the Coincidence of Repetitive Activation Patterns between the Coronary Sinus and Atrial Regions in Simulated Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2022
Tracking of Atrial Fibrillation Drivers Based on Propagation Patterns: An In-Silico Study.
Proceedings of the Computing in Cardiology, 2022
2021
Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification.
CoRR, 2021
CoRR, 2021
Fast and Accurate Uncertainty Quantification for the ECG with Random Electrodes Location.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021
Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021
Spatial Relationship Between Atrial Fibrillation Drivers and the Presence of Repetitive Conduction Patterns Using Recurrence Analysis on In-Silico Models.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Space-time shape uncertainties in the forward and inverse problem of electrocardiography.
CoRR, 2020
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
2019
J. Comput. Phys., 2019
Fibrillation Patterns Creep and Jump in a Detailed Three-Dimensional Model of the Human Atria.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019
Proceedings of the Functional Imaging and Modeling of the Heart, 2019
2018
Proceedings of the Computing in Cardiology, 2018
Acute Morphological Changes in P-Wave Morphology During Pulmonary Vein Isolation in Atrial Fibrillation Patients.
Proceedings of the Computing in Cardiology, 2018
2014
Patient-Specific Parameter Estimation for a Transversely Isotropic Active Strain Model of Left Ventricular Mechanics.
Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014