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ORCIDSimone Pezzuto
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2020 – today
- 2024
[j4]Francisco Sahli Costabal
, Simone Pezzuto, Paris Perdikaris:
Δ-PINNs: Physics-informed neural networks on complex geometries. Eng. Appl. Artif. Intell. 127(Part B): 107324 (2024)- [j3]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): 1281-1288 (2024) - [i16]Giacomo Rosilho de Souza, Marcus J. Grote, Simone Pezzuto, Rolf Krause:
Explicit stabilized multirate methods for the monodomain model in cardiac electrophysiology. CoRR abs/2401.01745 (2024) - [i15]Giacomo Rosilho de Souza, Simone Pezzuto, Rolf Krause:
High-order parallel-in-time method for the monodomain equation in cardiac electrophysiology. CoRR abs/2405.19994 (2024) - [i14]Manuel Haas, Thomas Grandits, Thomas Pinetz, Thomas Beiert, Simone Pezzuto, Alexander Effland:
Finite element-based space-time total variation-type regularization of the inverse problem in electrocardiographic imaging. CoRR abs/2408.11573 (2024) - 2023
- [c16]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: 1-4 - [c15]Francisco Sahli Costabal, Tomás Banduc, Lia Gander, Simone Pezzuto:
The Fibrotic Kernel Signature: Simulation-Free Prediction of Atrial Fibrillation. FIMH 2023: 87-96 - [c14]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: 117-126 - [c13]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: 137-146 - [i13]Giacomo Rosilho de Souza, Rolf Krause, Simone Pezzuto:
Boundary Integral Formulation of the Cell-by-Cell Model of Cardiac Electrophysiology. CoRR abs/2302.05281 (2023) - [i12]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 abs/2308.08410 (2023) - [i11]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 abs/2308.16568 (2023) - [i10]Felipe Álvarez-Barrientos, Mariana Salinas-Camus, Simone Pezzuto, Francisco Sahli Costabal:
Probabilistic learning of the Purkinje network from the electrocardiogram. CoRR abs/2312.09887 (2023) - 2022
- [j2]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): 3957-3973 (2022) - [c12]Victor Gonçalves 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: 1-4 - [c11]Margot van Montfoort, Victor Gonçalves 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: 1-4 - [c10]Ozan Özgül, Victor Gonçalves 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: 1-4 - [i9]Thomas Grandits, Simone Pezzuto, Gernot Plank:
Smoothness and continuity of cost functionals for ECG mismatch computation. CoRR abs/2201.04487 (2022) - [i8]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 abs/2201.12362 (2022) - [i7]Simone Pezzuto, Paris Perdikaris, Francisco Sahli Costabal:
Learning cardiac activation maps from 12-lead ECG with multi-fidelity Bayesian optimization on manifolds. CoRR abs/2203.06222 (2022) - [i6]Francisco Sahli Costabal, Simone Pezzuto, Paris Perdikaris:
Δ-PINNs: physics-informed neural networks on complex geometries. CoRR abs/2209.03984 (2022) - 2021
- [c9]Victor Gonçalves 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: 1-4 - [c8]Michael D. Multerer, Simone Pezzuto:
Fast and Accurate Uncertainty Quantification for the ECG with Random Electrodes Location. FIMH 2021: 561-572 - [c7]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: 650-658 - [i5]Michael D. Multerer, Simone Pezzuto:
Uncertainty Quantification for the 12-lead ECG: a Lead Field Approach. CoRR abs/2102.09960 (2021) - [i4]Thomas Grandits, Alexander Effland, Thomas Pock, Rolf Krause, Gernot Plank, Simone Pezzuto:
GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models. CoRR abs/2102.09962 (2021) - [i3]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 abs/2102.10863 (2021) - [i2]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 abs/2112.08075 (2021) - 2020
- [c6]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: 76-86 - [i1]Lia Gander, Rolf Krause, Michael D. Multerer, Simone Pezzuto:
Space-time shape uncertainties in the forward and inverse problem of electrocardiography. CoRR abs/2010.16104 (2020)
2010 – 2019
- 2019
- [j1]Alessio Quaglino, Simone Pezzuto, Rolf Krause:
High-dimensional and higher-order multifidelity Monte Carlo estimators. J. Comput. Phys. 388: 300-315 (2019) - [c5]Simone Pezzuto, Alessio Quaglino, Mark Potse:
On Sampling Spatially-Correlated Random Fields for Complex Geometries. FIMH 2019: 103-111 - [c4]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: 131-138 - 2018
- [c3]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: 1-4 - [c2]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: 1-4 - 2014
- [c1]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: 93-104
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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