activity
20212026
most citedA comprehensive and biophysically detailed computational model of the whole human heart electromechanics

120 citations · 349 across the 13 of their papers we have counts for

collaborators

13 papers

math.NA2026

Physics-Informed Neural Networks for the High-Resolution Reconstruction of Flow Measurement Indicators in Fluid Dynamics

Irena Radišić, Raffaele Tirotta, Alberto Zingaro +2

Accurate, spatially resolved flow field measurements are essential for the reliable assessment of hemodynamic quantities in cardiovascular research and clinical practice. Experimen…

physics.flu-dyn2024★ 2 cited

A Multi-Component, Multi-Physics Computational Model for Solving Coupled Cardiac Electromechanics and Vascular Haemodynamics

Sharp C. Y. Lo, Alberto Zingaro, Jon W. S. McCullough +5

The circulatory system, comprising the heart and blood vessels, is vital for nutrient transport, waste removal, and homeostasis. Traditional computational models often treat cardia…

physics.flu-dyn2024★ 1 cited

Advancing aortic stenosis assessment: validation of fluid-structure interaction models against 4D flow MRI data

Alberto Zingaro, Irmantas Burba, David Oks +10

Systematic in vivo validations of computational models of the aortic valve remain scarce, despite successful validation against in vitro data. Utilizing a combination of computed t…

physics.flu-dyn2023★ 2 cited

lifex-cfd: an open-source computational fluid dynamics solver for cardiovascular applications

Pasquale Claudio Africa, Ivan Fumagalli, Michele Bucelli +4

Computational fluid dynamics (CFD) is an important tool for the simulation of the cardiovascular function and dysfunction. Due to the complexity of the anatomy, the transitional re…

cs.CE2023

A comprehensive mathematical model for cardiac perfusion

Alberto Zingaro, Christian Vergara, Luca Dede' +2

We present a novel mathematical model that simulates myocardial blood perfusion by embedding multiscale and multiphysics features. Our model incorporates cardiac electrophysiology,…

math.NA2023★ 49 cited

An electromechanics-driven fluid dynamics model for the simulation of the whole human heart

Alberto Zingaro, Michele Bucelli, Roberto Piersanti +3

We introduce a multiphysics and geometric multiscale computational model, suitable to describe the hemodynamics of the whole human heart, driven by a four-chamber electromechanical…

math.NA2022★ 1 cited

Modeling isovolumetric phases in cardiac flows by an Augmented Resistive Immersed Implicit Surface Method

Alberto Zingaro, Michele Bucelli, Ivan Fumagalli +2

A major challenge in the computational fluid dynamics modeling of the heart function is the simulation of isovolumetric phases when the hemodynamics problem is driven by a prescrib…

math.NA2022★ 4 cited

A mathematical model that integrates cardiac electrophysiology, mechanics and fluid dynamics: application to the human left heart

Michele Bucelli, Alberto Zingaro, Pasquale Claudio Africa +3

We propose a mathematical and numerical model for the simulation of the heart function that couples cardiac electrophysiology, active and passive mechanics and hemodynamics, and in…

math.NA2022★ 120 cited

A comprehensive and biophysically detailed computational model of the whole human heart electromechanics

Marco Fedele, Roberto Piersanti, Francesco Regazzoni +6

While ventricular electromechanics is extensively studied, four-chamber heart models have only been addressed recently; most of these works however neglect atrial contraction. Inde…

physics.flu-dyn2022★ 54 cited

Impact of Atrial Fibrillation on Left Atrium Haemodynamics: A Computational Fluid Dynamics Study

Mattia Corti, Alberto Zingaro, Luca Dede' +1

We analyze left atrium haemodynamics, highlighting differences among healthy individuals and patients affected by atrial fibrillation. The computational study is based on patient-s…

math.NA2021★ 11 cited

A Machine Learning approach to enhance the SUPG stabilization method for advection-dominated differential problems

Tommaso Tassi, Alberto Zingaro, Luca Dede'

We propose using machine learning and artificial neural networks (ANNs) to enhance residual-based stabilization methods for advection-dominated differential problems. Specifically,…

math.NA2021★ 52 cited

A geometric multiscale model for the numerical simulation of blood flow in the human left heart

Alberto Zingaro, Ivan Fumagalli, Luca Dede' +4

We present a new computational model for the numerical simulation of blood flow in the human left heart. To this aim, we use the Navier-Stokes equations in an Arbitrary Lagrangian…

physics.flu-dyn2021★ 53 cited

Hemodynamics of the heart's left atrium based on a Variational Multiscale-LES numerical method

Alberto Zingaro, Luca Dede', Filippo Menghini +1

In this paper, we investigate the hemodynamics of a left atrium (LA) by proposing a computational model suitable to provide physically meaningful fluid dynamics indications and det…