Assessment of reduced‐order unscented Kalman filter for parameter identification in 1‐dimensional blood flow models using experimental data A Caiazzo, F Caforio, G Montecinos, LO Muller, PJ Blanco, EF Toro International journal for numerical methods in biomedical engineering 33 (8 …, 2017 | 49 | 2017 |
Personalization of electro-mechanical models of the pressure-overloaded left ventricle: fitting of windkessel-type afterload models L Marx, MAF Gsell, A Rund, F Caforio, AJ Prassl, G Toth-Gayor, T Kuehne, ... Philosophical Transactions of the Royal Society A 378 (2173), 20190342, 2020 | 41 | 2020 |
Robust and efficient fixed-point algorithm for the inverse elastostatic problem to identify myocardial passive material parameters and the unloaded reference configuration L Marx, JA Niestrawska, MAF Gsell, F Caforio, G Plank, CM Augustin Journal of computational physics 463, 111266, 2022 | 23 | 2022 |
A coupling strategy for a first 3D-1D model of the cardiovascular system to study the effects of pulse wave propagation on cardiac function F Caforio, CM Augustin, J Alastruey, MAF Gsell, G Plank Computational Mechanics 70 (4), 703-722, 2022 | 10 | 2022 |
Efficient identification of myocardial material parameters and the stress-free reference configuration for patient-specific human heart models L Marx, JA Niestrawska, MAF Gsell, F Caforio, G Plank, CM Augustin arXiv preprint arXiv:2101.04411, 2021 | 9 | 2021 |
Coupling reduced-order blood flow and cardiac models through energy-consistent strategies: modeling and discretization J Manganotti, F Caforio, F Kimmig, P Moireau, S Imperiale Advanced Modeling and Simulation in Engineering Sciences 8 (1), 21, 2021 | 7 | 2021 |
A high-order spectral element fast Fourier transform for the Poisson equation F Caforio, S Imperiale SIAM Journal on Scientific Computing 41 (5), A2747-A2771, 2019 | 7 | 2019 |
A conservative penalisation strategy for the semi-implicit time discretisation of the incompressible elastodynamics equation F Caforio, S Imperiale Advanced Modeling and Simulation in Engineering Sciences 5, 1-27, 2018 | 6 | 2018 |
Physics-informed neural network estimation of material properties in soft tissue nonlinear biomechanical models F Caforio, F Regazzoni, S Pagani, E Karabelas, C Augustin, G Haase, ... Computational Mechanics, 1-27, 2024 | 4 | 2024 |
Mathematical modelling and numerical simulation of elastic wave propagation in soft tissues with application to cardiac elastography F Caforio Université Paris Saclay (COmUE), 2019 | 3 | 2019 |
Assessment of reduced order Kalman filter for parameter identification in one-dimensional blood flow models using experimental data A Caiazzo, F Caforio, G Montecinos, LO Müller, PJ Blanco, EF Toro Berlin: Weierstraß-Institut für Angewandte Analysis und Stochastik, 2016 | 2 | 2016 |
Mathematical analysis of a penalisation strategy for incompressible elastodynamics F Caforio, S Imperiale Asymptotic Analysis 122 (3-4), 225-255, 2021 | 1 | 2021 |
A coupling strategy for a 3D-1D model of the cardiovascular system to study the effects of pulse wave propagation on cardiac function F Caforio, CM Augustin, J Alastruey, MAF Gsell, G Plank arXiv preprint arXiv:2111.05683, 2021 | | 2021 |
Studying the effects of pulse wave propagation on cardiac function using a novel 3D model of cardiac electromechanics coupled to a 1D model of the circulatory system F Caforio, C Augustin, G Plank, J Alastruey PROCEEDINGS OF SIMAI 2020+ 21, 2021 | | 2021 |
High-order discrete fourier transform for the solution of the Poisson equation F Caforio, S Imperiale SIAM Journal on Scientific Computing 41 (5), A2747-A2771, 2019 | | 2019 |
Mathematical modelling of transient shear wave elastography in the heart F Caforio, S Imperiale HAL 2019, 2019 | | 2019 |
CFD Simulations in Cardiovascular Systems E Karabelas, G Haase, F Caforio BOOK OF, 109, 0 | | |
COMPUTATIONAL MEDICINE: DATA-DRIVEN AND PHYSICS-BASED TOOLS FOR CLINICAL APPLICATIONS F CAFORIO, S PAGANI, F REGAZZONI | | |
Supplementary material for: Personalization of electro-mechanical models of the pressure-overloaded left ventricle: Fitting of L Marx, MAF Gsell, A Rund, F Caforio, AJ Prassl, G Toth-Gayor, T Kuehne | | |