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Federica Caforio
Federica Caforio
University Assistant with Doctorate, Dep of Mathematics and Scientific Computing, University of Graz
Bestätigte E-Mail-Adresse bei uni-graz.at
Titel
Zitiert von
Zitiert von
Jahr
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
472017
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
402020
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
212022
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
102022
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
92021
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
72021
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
62018
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
52019
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
42024
Mathematical modelling and numerical simulation of elastic wave propagation in soft tissues with application to cardiac elastography
F Caforio
Université Paris Saclay (COmUE), 2019
32019
Mathematical analysis of a penalisation strategy for incompressible elastodynamics
F Caforio, S Imperiale
Asymptotic Analysis 122 (3-4), 225-255, 2021
12021
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
12016
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
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