Sfoglia per Correlatore PAGANI, STEFANO
Mostrati risultati da 1 a 11 di 11
An adaptive discontinuous Galerkin method for the numerical modeling of epileptic seizures
2021/2022 LEIMER SAGLIO, CATERINA BEATRICE
Bayesian physics-informed neural networks for inverse uncertainty quantification problems in cardiac electrophysiology
2019/2020 Ceccarelli, Daniele
Computational analysis of the effects of acute coronary ischemia on cardiac electrophysiology
2022/2023 Corda, Alessandra
Efficient numerical approximation of parametrized one-way coupled problems in cardiac electromechanics
2020/2021 PIERDOMENICO, MATTEO
Finite-element approximation for the coupled myocardium-torso problem on patient specific geometries
2018/2019 FIORENTINI, LORENZO
Fully coupled multiscale models of cardiac electromechanics
2022/2023 RADISIC, IRENA
A graph neural network framework for predicting spatio-temporal progression in biological networks with application to brain tumor recurrence
2024/2025 TOMASINI, CHIARA
A mathematical and computational framework to model low- to high-grade brain tumour dynamics
2025/2026 Mazzucco, Valentina
PDE-aware deep learning for inverse problems in cardiac electrophysiology
2019/2020 Tenderini, Riccardo
Physics informed neural networks for parameter estimation in cardiac electrophysiology
2019/2020 De GOBBIS, ANDREA
Physics-informed neural networks in computational fluid dynamics : enhancing 4D flow MRI data
2021/2022 Tirotta, Raffaele
Mostrati risultati da 1 a 11 di 11
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