Implementation and Calibration of a Deep Neural Network to Predict Parameters of Left Ventricular Systolic Function Based on Pulmonary and Systemic Arterial Pressure Signals von Bonnemain, Jean, Pegolotti, Luca, Liaudet, Lucas, Deparis, Simone

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Data driven approximation of parametrized PDEs by reduced basis and neural networks von Dal Santo, Niccolò, Deparis, Simone, Pegolotti, Luca

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Isogeometric Analysis of the electrophysiology in the human heart: Numerical simulation of the bidomain equations on the atria von Pegolotti, Luca, Dedè, Luca, Quarteroni, Alfio

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Beyond CFD: Emerging methodologies for predictive simulation in cardiovascular health and disease von Schwarz, Erica L, Pegolotti, Luca, Pfaller, Martin R, Marsden, Alison L

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Learning reduced-order models for cardiovascular simulations with graph neural networks von Pegolotti, Luca, Pfaller, Martin R, Rubio, Natalia L, Ding, Ke, Brugarolas Brufau, Rita, Darve, Eric, Marsden, Alison L

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Application of the Rosenbrock methods to the solution of unsteady 3D incompressible Navier-Stokes equations von Deparis, Simone, Deville, Michel O., Menghini, Filippo, Pegolotti, Luca, Quarteroni, Alfio

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Coupling non-conforming discretizations of PDEs by spectral approximation of the Lagrange multiplier space von Deparis, Simone, Pegolotti, Luca

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Automated generation of 0D and 1D reduced-order models of patient-specific blood flow von Pfaller, Martin R, Pham, Jonathan, Verma, Aekaansh, Pegolotti, Luca, Wilson, Nathan M, Parker, David W, Yang, Weiguang, Marsden, Alison L

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Coupling non-conforming discretizations of PDEs by spectral approximation of the Lagrange multiplier space von Deparis, Simone, Pegolotti, Luca

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Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks von Pegolotti, Luca, Pfaller, Martin R, Rubio, Natalia L, Ding, Ke, Rita Brugarolas Brufau, Darve, Eric, Marsden, Alison L

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Reduction techniques for PDEs built upon Reduced Basis and Domain Decomposition Methods with applications to hemodynamics von Pegolotti, Luca

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Model order reduction of flow based on a modular geometrical approximation of blood vessels von Pegolotti, Luca, Pfaller, Martin R, Marsden, Alison L, Deparis, Simone

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Implementation and Calibration of a Deep Neural Network to Predict Parameters of Left Ventricular Systolic Function Based on Pulmonary and Systemic Arterial Pressure Signals von Bonnemain, Jean, Pegolotti, Luca, Liaudet, Lucas, Deparis, Simone

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