The following pages link to Francesco Regazzoni (Q1984069):
Displaying 32 items.
- Modeling the cardiac response to hemodynamic changes associated with COVID-19: a computational study (Q1984075) (← links)
- Topology optimization of multiple anisotropic materials, with application to self-assembling diblock copolymers (Q1986220) (← links)
- Machine learning of multiscale active force generation models for the efficient simulation of cardiac electromechanics (Q2020283) (← links)
- An oscillation-free fully staggered algorithm for velocity-dependent active models of cardiac mechanics (Q2020821) (← links)
- Active force generation in cardiac muscle cells: mathematical modeling and numerical simulation of the actin-myosin interaction (Q2022471) (← links)
- A physics-informed multi-fidelity approach for the estimation of differential equations parameters in low-data or large-noise regimes (Q2075654) (← links)
- A cardiac electromechanical model coupled with a lumped-parameter model for closed-loop blood circulation (Q2135834) (← links)
- A machine learning method for real-time numerical simulations of cardiac electromechanics (Q2138843) (← links)
- Machine learning for fast and reliable solution of time-dependent differential equations (Q2222523) (← links)
- Mathematical and numerical models for the cardiac electromechanical function (Q2240519) (← links)
- 3D-0D closed-loop model for the simulation of cardiac biventricular electromechanics (Q2670385) (← links)
- A fast cardiac electromechanics model coupling the Eikonal and the nonlinear mechanics equations (Q5045188) (← links)
- Modeling the cardiac electromechanical function: A mathematical journey (Q5081547) (← links)
- A mathematical model of the human heart suitable to address clinical problems (Q6072369) (← links)
- A comprehensive and biophysically detailed computational model of the whole human heart electromechanics (Q6094646) (← links)
- Preserving the positivity of the deformation gradient determinant in intergrid interpolation by combining RBFs and SVD: Application to cardiac electromechanics (Q6187630) (← links)
- 3D-0D closed-loop model for the simulation of cardiac biventricular electromechanics (Q6374470) (← links)
- A machine learning method for real-time numerical simulations of cardiac electromechanics (Q6381243) (← links)
- Fast and robust parameter estimation with uncertainty quantification for the cardiac function (Q6413123) (← links)
- A mathematical model to assess the effects of COVID-19 on the cardiocirculatory system (Q6436210) (← links)
- Reconstructing relaxed configurations in elastic bodies: mathematical formulations and numerical methods for cardiac modeling (Q6494017) (← links)
- An electromechanics-driven fluid dynamics model for the simulation of the whole human heart (Q6497238) (← links)
- An integrated heart-torso electromechanical model for the simulation of electrophysiogical outputs accounting for myocardial deformation (Q6521073) (← links)
- Robust radial basis function interpolation based on geodesic distance for the numerical coupling of multiphysics problems (Q6524849) (← links)
- An integrated heart-torso electromechanical model for the simulation of electrophysiological outputs accounting for myocardial deformation (Q6557836) (← links)
- An optimally convergent fictitious domain method for interface problems (Q6609836) (← links)
- Robust radial basis function interpolation based on geodesic distance for the numerical coupling of multiphysics problems (Q6660354) (← links)
- PLOS Comput. Biol. "Biophysically detailed mathematical models of multiscale cardiac active mechanics": datasets (Q6704651) (← links)
- "Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks": Dataset (Q6722296) (← links)
- Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks: dataset (Q6722301) (← links)
- Two new calibration techniques of lumped-parameter mathematical models for the cardiovascular system (Q6729358) (← links)
- Shape-informed surrogate models based on signed distance function domain encoding (Q6745099) (← links)