Simone Pezzuto

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 34

Top Topics

Parameter Estimation

Atrial Fibrillation

Repetitive Patterns

Distance Function

Top Venues

M&Ms and EMIDEC/STACOM@MICCAI

Publications

Thomas Grandits, Jan Verhülsdonk, Gundolf Haase, Alexander Effland, Simone Pezzuto
Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach. IEEE Trans. Biomed. Eng. 71 (4) (2024)
Francisco Sahli Costabal, Simone Pezzuto, Paris Perdikaris
Δ-PINNs: Physics-informed neural networks on complex geometries. Eng. Appl. Artif. Intell. 127 (Part B) (2024)
Giacomo Rosilho de Souza, Marcus J. Grote, Simone Pezzuto, Rolf Krause
Explicit stabilized multirate methods for the monodomain model in cardiac electrophysiology. CoRR (2024)
Giacomo Rosilho de Souza, Simone Pezzuto, Rolf Krause
High-order parallel-in-time method for the monodomain equation in cardiac electrophysiology. CoRR (2024)
Giacomo Rosilho de Souza, Rolf Krause, Simone Pezzuto
Boundary Integral Formulation of the Cell-by-Cell Model of Cardiac Electrophysiology. CoRR (2023)
Thomas Grandits, Jan Verhülsdonk, Gundolf Haase, Alexander Effland, Simone Pezzuto
Digital twinning of cardiac electrophysiology models from the surface ECG: a geodesic backpropagation approach. CoRR (2023)
Victor Gonçalves Marques, Ali Gharaviri, Simone Pezzuto, Angelo Auricchio, Pietro Bonizzi, Stef Zeemering, Ulrich Schotten
A Novel Mapping Strategy of Repetitive Patterns in Consecutive Recordings to Localize Atrial Fibrillation Sources: an In-Silico Study. CinC (2023)
Felipe Álvarez-Barrientos, Mariana Salinas-Camus, Simone Pezzuto, Francisco Sahli Costabal
Probabilistic learning of the Purkinje network from the electrocardiogram. CoRR (2023)
Giacomo Rosilho de Souza, Simone Pezzuto, Rolf Krause
Effect of Gap Junction Distribution, Size, and Shape on the Conduction Velocity in a Cell-by-Cell Model for Electrophysiology. FIMH (2023)
Francisco Sahli Costabal, Tomás Banduc, Lia Gander, Simone Pezzuto
The Fibrotic Kernel Signature: Simulation-Free Prediction of Atrial Fibrillation. FIMH (2023)
Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland
Shape of my heart: Cardiac models through learned signed distance functions. CoRR (2023)
Lia Gander, Rolf Krause, Martin Weiser, Francisco Sahli Costabal, Simone Pezzuto
On the Accuracy of Eikonal Approximations in Cardiac Electrophysiology in the Presence of Fibrosis. FIMH (2023)
Simone Pezzuto, Paris Perdikaris, Francisco Sahli Costabal
Learning cardiac activation maps from 12-lead ECG with multi-fidelity Bayesian optimization on manifolds. CoRR (2022)
Margot van Montfoort, Victor G. Marques, Ozan Özgül, Ali Gharaviri, Simone Pezzuto, Angelo Auricchio, Pietro Bonizzi, Ulrich Schotten, Stef Zeemering
Fibrosis Reduces the Coincidence of Repetitive Activation Patterns between the Coronary Sinus and Atrial Regions in Simulated Atrial Fibrillation. CinC (2022)
Ozan Özgül, Victor G. Marques, Ben Hermans, Arne van Hunnik, Sander Verheule, Ulrich Schotten, Ali Gharaviri, Simone Pezzuto, Angelo Auricchio, Pietro Bonizzi, Stef Zeemering
Computer Simulations of Composite Maps for Detection of Atrial Fibrillation Mechanisms. CinC (2022)
Carlos Ruiz Herrera, Thomas Grandits, Gernot Plank, Paris Perdikaris, Francisco Sahli Costabal, Simone Pezzuto
Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps. CoRR (2022)
Francisco Sahli Costabal, Simone Pezzuto, Paris Perdikaris
Δ-PINNs: physics-informed neural networks on complex geometries. CoRR (2022)
Thomas Grandits, Simone Pezzuto, Gernot Plank
Smoothness and continuity of cost functionals for ECG mismatch computation. CoRR (2022)
Carlos Ruiz Herrera, Thomas Grandits, Gernot Plank, Paris Perdikaris, Francisco Sahli Costabal, Simone Pezzuto
Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps. Eng. Comput. 38 (5) (2022)
Victor G. Marques, Ali Gharaviri, Simone Pezzuto, Angelo Auricchio, Pietro Bonizzi, Stef Zeemering, Ulrich Schotten
Tracking of Atrial Fibrillation Drivers Based on Propagation Patterns: An In-Silico Study. CinC (2022)
Thomas Grandits, Alexander Effland, Thomas Pock, Rolf Krause, Gernot Plank, Simone Pezzuto
GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models. CoRR (2021)
Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause
Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks. CoRR (2021)
Victor G. Marques, Ali Gharaviri, Simone Pezzuto, Pietro Bonizzi, Stef Zeemering, Ulrich Schotten
Spatial Relationship Between Atrial Fibrillation Drivers and the Presence of Repetitive Conduction Patterns Using Recurrence Analysis on In-Silico Models. CinC (2021)
Lia Gander, Simone Pezzuto, Ali Gharaviri, Rolf Krause, Paris Perdikaris, Francisco Sahli Costabal
Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification. CoRR (2021)
Michael D. Multerer, Simone Pezzuto
Fast and Accurate Uncertainty Quantification for the ECG with Random Electrodes Location. FIMH (2021)
Michael D. Multerer, Simone Pezzuto
Uncertainty Quantification for the 12-lead ECG: a Lead Field Approach. CoRR (2021)
Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause
Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks. FIMH (2021)
Thomas Grandits, Simone Pezzuto, Jolijn M. Lubrecht, Thomas Pock, Gernot Plank, Rolf Krause
PIEMAP: Personalized Inverse Eikonal Model from Cardiac Electro-Anatomical Maps. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Lia Gander, Rolf Krause, Michael D. Multerer, Simone Pezzuto
Space-time shape uncertainties in the forward and inverse problem of electrocardiography. CoRR (2020)
Alessio Quaglino, Simone Pezzuto, Rolf Krause
High-dimensional and higher-order multifidelity Monte Carlo estimators. J. Comput. Phys. 388 (2019)
Mark Potse, Alain Vinet, Ali Gharaviri, Simone Pezzuto
Fibrillation Patterns Creep and Jump in a Detailed Three-Dimensional Model of the Human Atria. FIMH (2019)
Simone Pezzuto, Alessio Quaglino, Mark Potse
On Sampling Spatially-Correlated Random Fields for Complex Geometries. FIMH (2019)
Ali Gharaviri, Matthias D. H. Zink, Simone Pezzuto, Mark Potse, Stef Zeemering, Rolf Krause, Angelo Auricchio, Ulrich Schotten
Acute Morphological Changes in P-Wave Morphology During Pulmonary Vein Isolation in Atrial Fibrillation Patients. CinC (2018)
Mark Potse, Ali Gharaviri, Simone Pezzuto, Angelo Auricchio, Rolf Krause, Sander Verheule, Ulrich Schotten
Anatomically-Induced Fibrillation in a 3D Model of the Human Atria. CinC (2018)
Sjur Gjerald, Johan Hake, Simone Pezzuto, Joakim Sundnes, Samuel T. Wall
Patient-Specific Parameter Estimation for a Transversely Isotropic Active Strain Model of Left Ventricular Mechanics. STACOM (2014)