| Active stress vs. active strain in mechanobiology: constitutive issues D Ambrosi, S Pezzuto Journal of Elasticity 107, 199-212, 2012 | 188 | 2012 |
| Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material behaviour S Land, V Gurev, S Arens, CM Augustin, L Baron, R Blake, C Bradley, ... Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015 | 134 | 2015 |
| Solid tumors are poroelastic solids with a chemo-mechanical feedback on growth D Ambrosi, S Pezzuto, D Riccobelli, T Stylianopoulos, P Ciarletta Journal of Elasticity 129, 107-124, 2017 | 82 | 2017 |
| Epicardial fibrosis explains increased endo–epicardial dissociation and epicardial breakthroughs in human atrial fibrillation A Gharaviri, E Bidar, M Potse, S Zeemering, S Verheule, S Pezzuto, ... Frontiers in physiology 11, 68, 2020 | 72 | 2020 |
| An orthotropic active–strain model for the myocardium mechanics and its numerical approximation S Pezzuto, D Ambrosi, A Quarteroni European Journal of Mechanics-A/Solids 48, 83-96, 2014 | 68 | 2014 |
| Evaluation of a rapid anisotropic model for ECG simulation S Pezzuto, P Kal'avský, M Potse, FW Prinzen, A Auricchio, R Krause Frontiers in physiology 8, 265, 2017 | 53 | 2017 |
| Reconstruction of three-dimensional biventricular activation based on the 12-lead electrocardiogram via patient-specific modelling S Pezzuto, FW Prinzen, M Potse, F Maffessanti, F Regoli, ML Caputo, ... EP Europace 23 (4), 640-647, 2021 | 52 | 2021 |
| Fast uncertainty quantification of activation sequences in patient‐specific cardiac electrophysiology meeting clinical time constraints A Quaglino, S Pezzuto, PS Koutsourelakis, A Auricchio, R Krause International journal for numerical methods in biomedical engineering 34 (7 …, 2018 | 51 | 2018 |
| Space‐discretization error analysis and stabilization schemes for conduction velocity in cardiac electrophysiology S Pezzuto, J Hake, J Sundnes International journal for numerical methods in biomedical engineering 32 (10 …, 2016 | 47 | 2016 |
| Δ-PINNs: Physics-informed neural networks on complex geometries FS Costabal, S Pezzuto, P Perdikaris Engineering Applications of Artificial Intelligence 127, 107324, 2024 | 39 | 2024 |
| Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps C Ruiz Herrera, T Grandits, G Plank, P Perdikaris, F Sahli Costabal, ... Engineering with Computers 38 (5), 3957-3973, 2022 | 39 | 2022 |
| High-order finite element methods for cardiac monodomain simulations KP Vincent, MJ Gonzales, AK Gillette, CT Villongco, S Pezzuto, JH Omens, ... Frontiers in physiology 6, 217, 2015 | 37 | 2015 |
| Active contraction of the cardiac ventricle and distortion of the microstructural architecture S Pezzuto, D Ambrosi International journal for numerical methods in biomedical engineering 30 (12 …, 2014 | 29 | 2014 |
| Short P‐wave duration is a marker of higher rate of atrial fibrillation recurrences after pulmonary vein isolation: new insights into the pathophysiological mechanisms through … A Auricchio, T Özkartal, F Salghetti, L Neumann, S Pezzuto, A Gharaviri, ... Journal of the American Heart Association 10 (2), e018572, 2021 | 23 | 2021 |
| Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks T Grandits, S Pezzuto, FS Costabal, P Perdikaris, T Pock, G Plank, ... International Conference on Functional Imaging and Modeling of the Heart …, 2021 | 22 | 2021 |
| PIEMAP: personalized inverse eikonal model from cardiac electro-anatomical maps T Grandits, S Pezzuto, JM Lubrecht, T Pock, G Plank, R Krause International Workshop on Statistical Atlases and Computational Models of …, 2020 | 21 | 2020 |
| GEASI: Geodesic‐based earliest activation sites identification in cardiac models T Grandits, A Effland, T Pock, R Krause, G Plank, S Pezzuto International journal for numerical methods in biomedical engineering 37 (8 …, 2021 | 18 | 2021 |
| The influence of scar on the spatio-temporal relationship between electrical and mechanical activation in heart failure patients F Maffessanti, T Jadczyk, R Kurzelowski, F Regoli, ML Caputo, G Conte, ... EP Europace 22 (5), 777-786, 2020 | 16 | 2020 |
| High-dimensional and higher-order multifidelity Monte Carlo estimators A Quaglino, S Pezzuto, R Krause Journal of Computational Physics 388, 300-315, 2019 | 16 | 2019 |
| Beat-to-beat P-wave morphological variability in patients with paroxysmal atrial fibrillation: an in silico study S Pezzuto, A Gharaviri, U Schotten, M Potse, G Conte, ML Caputo, ... EP Europace 20 (suppl_3), iii26-iii35, 2018 | 16 | 2018 |
Rolf KrauseFull Professor, KAUST; FernUni Schweiz, Brigبريد إلكتروني تم التحقق منه على kaust.edu.sa