collaborators

5 papers

cs.CV2026

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation

Francesco Fabbri, Martino Andrea Scarpolini, Paolo Ciancarella +4

Computational models of the human heart are widely used to study electromechanical and fluid-dynamical cardiac function and to support applications such as in silico clinical trial…

physics.flu-dyn2026

A fast and consistent sharp-interface immersed boundary method for moving bodies of arbitrary thickness

Giovanni Vagnoli, Martino Andrea Scarpolini, Roberto Verzicco +1

Immersed boundary methods (IBMs) are widely used to simulate flows around complex geometries and moving bodies, but they often involve a trade-off between precision and computation…

physics.med-ph2025

Hemodynamic effects of intra- and supra- deployment locations for a bioprosthetic aortic valve

Martino Andrea Scarpolini, Giovanni Vagnoli, Fabio Guglietta +2

Aortic valve replacement is a key surgical procedure for treating aortic valve pathologies, such as stenosis and regurgitation. The precise placement of the prosthetic valve relati…

cs.LG2025

Graph-Convolutional-Beta-VAE for Synthetic Abdominal Aorta Aneurysm Generation

Francesco Fabbri, Martino Andrea Scarpolini, Angelo Iollo +2

Synthetic data generation plays a crucial role in medical research by mitigating privacy concerns and enabling large-scale patient data analysis. This study presents a beta-Variati…

physics.flu-dyn2025

Lagrangian analysis of turbulent blood flow in the human left heart

Fabio Guglietta, Martino Andrea Scarpolini, Francesco Viola +1

We present a Lagrangian analysis of turbulent blood flow in the human left heart using high-fidelity simulations based on a patient-specific anatomical model. Leveraging a fully co…