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 (STACOM, 2014)

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 (CinC, 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 (CinC, 2018)

On Sampling Spatially-Correlated Random Fields for Complex Geometries. - Simone Pezzuto; Alessio Quaglino; Mark Potse (FIMH, 2019)

Fibrillation Patterns Creep and Jump in a Detailed Three-Dimensional Model of the Human Atria. - Mark Potse; Alain Vinet; Ali Gharaviri; Simone Pezzuto (FIMH, 2019)

High-dimensional and higher-order multifidelity Monte Carlo estimators. - Alessio Quaglino; Simone Pezzuto; Rolf Krause (J. Comput. Phys., 2019)

PIEMAP: Personalized Inverse Eikonal Model from Cardiac Electro-Anatomical Maps. - Thomas Grandits; Simone Pezzuto; Jolijn M. Lubrecht; Thomas Pock; Gernot Plank; Rolf Krause (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Space-time shape uncertainties in the forward and inverse problem of electrocardiography. - Lia Gander; Rolf Krause; Michael D. Multerer; Simone Pezzuto (CoRR, 2020)

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 (CinC, 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 (FIMH, 2021)

Fast and Accurate Uncertainty Quantification for the ECG with Random Electrodes Location. - Michael D. Multerer; Simone Pezzuto (FIMH, 2021)

Uncertainty Quantification for the 12-lead ECG: a Lead Field Approach. - Michael D. Multerer; Simone Pezzuto (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)

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)

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 (CinC, 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 (CinC, 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 (CinC, 2022)

Smoothness and continuity of cost functionals for ECG mismatch computation. - Thomas Grandits; Simone Pezzuto; Gernot Plank (CoRR, 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)

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)

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 (CinC, 2023)

The Fibrotic Kernel Signature: Simulation-Free Prediction of Atrial Fibrillation. - Francisco Sahli Costabal; Tomás Banduc; Lia Gander; Simone Pezzuto (FIMH, 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 (FIMH, 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 (FIMH, 2023)

Boundary Integral Formulation of the Cell-by-Cell Model of Cardiac Electrophysiology. - Giacomo Rosilho de Souza; Rolf Krause; Simone Pezzuto (CoRR, 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)

Shape of my heart: Cardiac models through learned signed distance functions. - Jan Verhülsdonk; Thomas Grandits; Francisco Sahli Costabal; Thomas Pinetz; Rolf Krause; Angelo Auricchio; Gundolf Haase; Simone Pezzuto; Alexander Effland (MIDL, 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)

High-order parallel-in-time method for the monodomain equation in cardiac electrophysiology. - Giacomo Rosilho de Souza; Simone Pezzuto; Rolf Krause (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)

An eikonal model with re-excitability for fast simulations in cardiac electrophysiology. - Lia Gander; Rolf Krause; Francisco Sahli Costabal; Simone Pezzuto (CoRR, 2024)

Ensemble learning of the atrial fiber orientation with physics-informed neural networks. - Efraín Magaña; Simone Pezzuto; Francisco Sahli Costabal (CoRR, 2024)

Δ-PINNs: Physics-informed neural networks on complex geometries. - Francisco Sahli Costabal; Simone Pezzuto; Paris Perdikaris (Eng. Appl. Artif. Intell., 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., 2024)

A Fast Solver for the Complex Eikonal Equation to Initiate Cardiac Arrhythmias. - Tomás Banduc; Simone Pezzuto; Francisco Sahli Costabal (FIMH (1), 2025)

$ varDelta $-PoIssoNN: Learning Atrial Activation Map from the ECG with Physics-Informed Neural Networks. - Efraín Magaña; Elena Zappon; Gernot Plank; Simone Pezzuto; Francisco Sahli Costabal (FIMH (2), 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)

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)

Accurate and efficient cardiac digital twin from surface ECGs: Insights into identifiability of ventricular conduction system. - Thomas Grandits; Karli Gillette; Gernot Plank; Simone Pezzuto (Medical Image Anal., 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., 2025)