Simone Pezzuto

According to our database, Simone Pezzuto authored at least 36 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

High-Density and High-Coverage Composite Atrial Activation Maps: An In-Silico Validation Study.

Ozan Özgül, Victor Gonçalves Marques, Ben Hermans, Arne van Hunnik, Sander Verheule, Ali Gharaviri, Simone Pezzuto, Angelo Auricchio, Ulrich Schotten, Pietro Bonizzi, Stef Zeemering

IEEE Trans. Biomed. Eng., January, 2025

Simulation-free prediction of atrial fibrillation inducibility with the fibrotic kernel signature.

Tomás Banduc, Luca Azzolin, Martin Manninger, Daniel Scherr, Gernot Plank, Simone Pezzuto, Francisco Sahli Costabal

Medical Image Anal., 2025

Probabilistic learning of the Purkinje network from the electrocardiogram.

Felipe Álvarez-Barrientos, Mariana Salinas-Camus, Simone Pezzuto, Francisco Sahli Costabal

Medical Image Anal., 2025

2024

Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach.

Thomas Grandits, Jan Verhülsdonk, Gundolf Haase, Alexander Effland, Simone Pezzuto

IEEE Trans. Biomed. Eng., April, 2024

Δ-PINNs: Physics-informed neural networks on complex geometries.

Francisco Sahli Costabal, Simone Pezzuto, Paris Perdikaris

Eng. Appl. Artif. Intell., January, 2024

Ensemble learning of the atrial fiber orientation with physics-informed neural networks.

Efraín Magaña, Simone Pezzuto, Francisco Sahli Costabal

CoRR, 2024

An eikonal model with re-excitability for fast simulations in cardiac electrophysiology.

Lia Gander, Rolf Krause, Francisco Sahli Costabal, Simone Pezzuto

CoRR, 2024

Finite element-based space-time total variation-type regularization of the inverse problem in electrocardiographic imaging.

Manuel Haas, Thomas Grandits, Thomas Pinetz, Thomas Beiert, Simone Pezzuto, Alexander Effland

CoRR, 2024

High-order parallel-in-time method for the monodomain equation in cardiac electrophysiology.

Giacomo Rosilho de Souza, Simone Pezzuto, Rolf Krause

CoRR, 2024

Explicit stabilized multirate methods for the monodomain model in cardiac electrophysiology.

Giacomo Rosilho de Souza, Marcus J. Grote, Simone Pezzuto, Rolf Krause

CoRR, 2024

2023

Shape of my heart: Cardiac models through learned signed distance functions.

Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland

CoRR, 2023

Boundary Integral Formulation of the Cell-by-Cell Model of Cardiac Electrophysiology.

Giacomo Rosilho de Souza, Rolf Krause, Simone Pezzuto

CoRR, 2023

Effect of Gap Junction Distribution, Size, and Shape on the Conduction Velocity in a Cell-by-Cell Model for Electrophysiology.

Giacomo Rosilho de Souza, Simone Pezzuto, Rolf Krause

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.

Lia Gander, Rolf Krause, Martin Weiser, Francisco Sahli Costabal, Simone Pezzuto

Proceedings of the Functional Imaging and Modeling of the Heart, 2023

The Fibrotic Kernel Signature: Simulation-Free Prediction of Atrial Fibrillation.

Francisco Sahli Costabal, Tomás Banduc, Lia Gander, Simone Pezzuto

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.

Victor Gonçalves Marques, Ali Gharaviri, Simone Pezzuto, Angelo Auricchio, Pietro Bonizzi, Stef Zeemering, Ulrich Schotten

Proceedings of the Computing in Cardiology, 2023

2022

Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps.

Carlos Ruiz Herrera, Thomas Grandits, Gernot Plank, Paris Perdikaris, Francisco Sahli Costabal, Simone Pezzuto

Eng. Comput., 2022

Learning cardiac activation maps from 12-lead ECG with multi-fidelity Bayesian optimization on manifolds.

Simone Pezzuto, Paris Perdikaris, Francisco Sahli Costabal

CoRR, 2022

Smoothness and continuity of cost functionals for ECG mismatch computation.

Thomas Grandits, Simone Pezzuto, Gernot Plank

CoRR, 2022

Computer Simulations of Composite Maps for Detection of Atrial Fibrillation Mechanisms.

Ozan Özgül, Victor Gonçalves Marques, Ben Hermans, Arne van Hunnik, Sander Verheule, Ulrich Schotten, Ali Gharaviri, Simone Pezzuto, Angelo Auricchio, Pietro Bonizzi, Stef Zeemering

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.

Margot van Montfoort, Victor Gonçalves Marques, Ozan Özgül, Ali Gharaviri, Simone Pezzuto, Angelo Auricchio, Pietro Bonizzi, Ulrich Schotten, Stef Zeemering

Proceedings of the Computing in Cardiology, 2022

Tracking of Atrial Fibrillation Drivers Based on Propagation Patterns: An In-Silico Study.

Victor Gonçalves Marques, Ali Gharaviri, Simone Pezzuto, Angelo Auricchio, Pietro Bonizzi, Stef Zeemering, Ulrich Schotten

Proceedings of the Computing in Cardiology, 2022

2021

Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification.

Lia Gander, Simone Pezzuto, Ali Gharaviri, Rolf Krause, Paris Perdikaris, Francisco Sahli Costabal

CoRR, 2021

GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models.

Thomas Grandits, Alexander Effland, Thomas Pock, Rolf Krause, Gernot Plank, Simone Pezzuto

CoRR, 2021

Uncertainty Quantification for the 12-lead ECG: a Lead Field Approach.

Michael D. Multerer, Simone Pezzuto

CoRR, 2021

Fast and Accurate Uncertainty Quantification for the ECG with Random Electrodes Location.

Michael D. Multerer, Simone Pezzuto

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.

Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause

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.

Victor Gonçalves Marques, Ali Gharaviri, Simone Pezzuto, Pietro Bonizzi, Stef Zeemering, Ulrich Schotten

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Space-time shape uncertainties in the forward and inverse problem of electrocardiography.

Lia Gander, Rolf Krause, Michael D. Multerer, Simone Pezzuto

CoRR, 2020

PIEMAP: Personalized Inverse Eikonal Model from Cardiac Electro-Anatomical Maps.

Thomas Grandits, Simone Pezzuto, Jolijn M. Lubrecht, Thomas Pock, Gernot Plank, Rolf Krause

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

2019

High-dimensional and higher-order multifidelity Monte Carlo estimators.

Alessio Quaglino, Simone Pezzuto, Rolf Krause

J. Comput. Phys., 2019

Fibrillation Patterns Creep and Jump in a Detailed Three-Dimensional Model of the Human Atria.

Mark Potse, Alain Vinet, Ali Gharaviri, Simone Pezzuto

Proceedings of the Functional Imaging and Modeling of the Heart, 2019

On Sampling Spatially-Correlated Random Fields for Complex Geometries.

Simone Pezzuto, Alessio Quaglino, Mark Potse

Proceedings of the Functional Imaging and Modeling of the Heart, 2019

2018

Anatomically-Induced Fibrillation in a 3D Model of the Human Atria.

Mark Potse, Ali Gharaviri, Simone Pezzuto, Angelo Auricchio, Rolf Krause, Sander Verheule, Ulrich Schotten

Proceedings of the Computing in Cardiology, 2018

Acute Morphological Changes in P-Wave Morphology During Pulmonary Vein Isolation in Atrial Fibrillation Patients.

Ali Gharaviri, Matthias D. H. Zink, Simone Pezzuto, Mark Potse, Stef Zeemering, Rolf Krause, Angelo Auricchio, Ulrich Schotten

Proceedings of the Computing in Cardiology, 2018

2014

Patient-Specific Parameter Estimation for a Transversely Isotropic Active Strain Model of Left Ventricular Mechanics.

Sjur Gjerald, Johan Hake, Simone Pezzuto, Joakim Sundnes, Samuel T. Wall

Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014