Works matching AU Dede', Luca
Results: 41
A Multi-Age Multi-Group Epidemiological Model and Its Validation on the COVID-19 Epidemic in Italy: SEIHRDV.
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- Mathematics (2227-7390), 2025, v. 13, n. 5, p. 788, doi. 10.3390/math13050788
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A mathematical model to assess the effects of COVID-19 on the cardiocirculatory system.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-58849-3
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POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium.
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- Frontiers in Physiology, 2021, v. 12, p. 1, doi. 10.3389/fphys.2021.679076
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Modeling isovolumetric phases in cardiac flows by an Augmented Resistive Immersed Implicit Surface method.
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- International Journal for Numerical Methods in Biomedical Engineering, 2023, v. 39, n. 12, p. 1, doi. 10.1002/cnm.3767
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A mathematical model that integrates cardiac electrophysiology, mechanics, and fluid dynamics: Application to the human left heart.
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- International Journal for Numerical Methods in Biomedical Engineering, 2023, v. 39, n. 3, p. 1, doi. 10.1002/cnm.3678
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Computational fluid dynamics of blood flow in an idealized left human heart.
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- International Journal for Numerical Methods in Biomedical Engineering, 2021, v. 37, n. 11, p. 1, doi. 10.1002/cnm.3287
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A mathematical dashboard for the analysis of Italian COVID‐19 epidemic data.
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- International Journal for Numerical Methods in Biomedical Engineering, 2021, v. 37, n. 9, p. 1, doi. 10.1002/cnm.3513
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A transmurally heterogeneous orthotropic activation model for ventricular contraction and its numerical validation.
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- International Journal for Numerical Methods in Biomedical Engineering, 2018, v. 34, n. 12, p. N.PAG, doi. 10.1002/cnm.3137
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Numerical approximation of the electromechanical coupling in the left ventricle with inclusion of the Purkinje network.
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- International Journal for Numerical Methods in Biomedical Engineering, 2018, v. 34, n. 7, p. 1, doi. 10.1002/cnm.2984
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Numerical modeling of the brain poromechanics by high-order discontinuous Galerkin methods.
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- Mathematical Models & Methods in Applied Sciences, 2023, v. 33, n. 8, p. 1577, doi. 10.1142/S0218202523500367
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A fast cardiac electromechanics model coupling the Eikonal and the nonlinear mechanics equations.
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- Mathematical Models & Methods in Applied Sciences, 2022, v. 32, n. 8, p. 1531, doi. 10.1142/S021820252250035X
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An intergrid transfer operator using radial basis functions with application to cardiac electromechanics.
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- Computational Mechanics, 2020, v. 66, n. 2, p. 491, doi. 10.1007/s00466-020-01861-x
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Fluid-structure interaction simulations of cerebral arteries modeled by isotropic and anisotropic constitutive laws.
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- Computational Mechanics, 2015, v. 55, n. 3, p. 479, doi. 10.1007/s00466-014-1117-y
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Modeling the cardiac response to hemodynamic changes associated with COVID-19: a computational study.
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- Mathematical Biosciences & Engineering, 2021, v. 18, n. 4, p. 3364, doi. 10.3934/mbe.2021168
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A detailed mathematical model of the human atrial cardiomyocyte: integration of electrophysiology and cardiomechanics.
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- Journal of Physiology, 2024, v. 602, n. 18, p. 4543, doi. 10.1113/JP283974
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A comprehensive mathematical model for cardiac perfusion.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-41312-0
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A comprehensive mathematical model for cardiac perfusion.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-41312-0
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Two New Calibration Techniques of Lumped‐Parameter Mathematical Models for the Cardiovascular System.
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- International Journal for Numerical Methods in Engineering, 2025, v. 126, n. 1, p. 1, doi. 10.1002/nme.7648
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lifex-ep: a robust and efficient software for cardiac electrophysiology simulations.
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- BMC Bioinformatics, 2023, v. 24, n. 1, p. 1, doi. 10.1186/s12859-023-05513-8
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lifex-ep: a robust and efficient software for cardiac electrophysiology simulations.
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- BMC Bioinformatics, 2023, v. 24, n. 1, p. 1, doi. 10.1186/s12859-023-05513-8
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lifex-fiber: an open tool for myofibers generation in cardiac computational models.
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- BMC Bioinformatics, 2023, v. 24, n. 1, p. 1, doi. 10.1186/s12859-023-05260-w
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Characterization of cardiac electrogram signals in atrial arrhythmias.
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- Minerva Cardiology & Angiology, 2021, v. 69, n. 1, p. 70, doi. 10.23736/S2724-5683.20.05431-6
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Deep learning-based reduced order models in cardiac electrophysiology.
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- PLoS ONE, 2020, v. 15, n. 10, p. 1, doi. 10.1371/journal.pone.0239416
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Active contraction of cardiac cells: a reduced model for sarcomere dynamics with cooperative interactions.
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- Biomechanics & Modeling in Mechanobiology, 2018, v. 17, n. 6, p. 1663, doi. 10.1007/s10237-018-1049-0
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A patient-specific aortic valve model based on moving resistive immersed implicit surfaces.
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- Biomechanics & Modeling in Mechanobiology, 2017, v. 16, n. 5, p. 1779, doi. 10.1007/s10237-017-0919-1
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A geometric multiscale model for the numerical simulation of blood flow in the human left heart.
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- Discrete & Continuous Dynamical Systems - Series S, 2022, v. 15, n. 8, p. 2391, doi. 10.3934/dcdss.2022052
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The Impact of Left Atrium Appendage Morphology on Stroke Risk Assessment in Atrial Fibrillation: A Computational Fluid Dynamics Study.
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- Frontiers in Physiology, 2019, p. N.PAG, doi. 10.3389/fphys.2018.01938
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Optimized numerical solutions of SIRDVW multiage model controlling SARS-CoV-2 vaccine roll out: An application to the Italian scenario.
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- Infectious Disease Modelling (2468-2152), 2023, v. 8, n. 3, p. 672, doi. 10.1016/j.idm.2023.05.012
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Modelling the COVID-19 epidemic and the vaccination campaign in Italy by the SUIHTER model.
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- Infectious Disease Modelling (2468-2152), 2022, v. 7, n. 2, p. 45, doi. 10.1016/j.idm.2022.03.002
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Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations.
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- NPJ Digital Medicine, 2024, v. 7, n. 1, p. 1, doi. 10.1038/s41746-024-01084-x
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Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks.
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- Nature Communications, 2024, v. 15, n. 1, p. 1, doi. 10.1038/s41467-024-45323-x
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Modeling the cardiac electromechanical function: A mathematical journey.
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- Bulletin (New Series) of the American Mathematical Society, 2022, v. 59, n. 3, p. 371, doi. 10.1090/bull/1738
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REDUCED BASIS METHOD FOR PARAMETRIZED ELLIPTIC ADVECTION REACTION PROBLEMS.
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- Journal of Computational Mathematics, 2010, v. 28, n. 1, p. 122, doi. 10.4208/jcm.2009.09-m3015
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Data integration for the numerical simulation of cardiac electrophysiology.
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- Pacing & Clinical Electrophysiology, 2021, v. 44, n. 4, p. 726, doi. 10.1111/pace.14198
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Isogeometric rotation-free analysis of planar extensible-elastica for static and dynamic applications.
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- Nonlinear Dynamics, 2015, v. 81, n. 1/2, p. 77, doi. 10.1007/s11071-015-1974-8
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Appraisal of partial anomalous pulmonary venous drainage through a lumped-parameter mathematical model: a new pathophysiological proof of concept.
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- Interdisciplinary Cardiovascular & Thoracic Surgery, 2024, v. 39, n. 5, p. 1, doi. 10.1093/icvts/ivae175
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Isogeometric Analysis for Topology Optimization with a Phase Field Model.
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- Archives of Computational Methods in Engineering, 2012, v. 19, n. 3, p. 427, doi. 10.1007/s11831-012-9075-z
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Isogeometric Analysis of a Phase Field Model for Darcy Flows with Discontinuous Data.
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- Chinese Annals of Mathematics, 2018, v. 39, n. 3, p. 487, doi. 10.1007/s11401-018-0079-3
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Biophysically detailed mathematical models of multiscale cardiac active mechanics.
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- PLoS Computational Biology, 2020, v. 16, n. 10, p. 1, doi. 10.1371/journal.pcbi.1008294
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ISOGEOMETRIC ANALYSIS AND PROPER ORTHOGONAL DECOMPOSITION FOR THE ACOUSTIC WAVE EQUATION.
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- ESAIM: Mathematical Modelling & Numerical Analysis (ESAIM: M2AN), 2017, v. 51, n. 4, p. 1197, doi. 10.1051/m2an/2016056
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NITSCHE’S METHOD FOR PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS WITH MIXED TIME VARYING BOUNDARY CONDITIONS.
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- ESAIM: Mathematical Modelling & Numerical Analysis (ESAIM: M2AN), 2016, v. 50, n. 2, p. 541, doi. 10.1051/m2an/2015054
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- Article