Niccoló Biasi

12 papers Journal 4Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Matlab Toolbox for cardiac electrophysiology simulations on patient-specific geometries.
Comput. Biol. Medicine
Niccoló Biasi, Paolo Seghetti, Matteo Parollo, Giulio Zucchelli, Alessandro Tognetti
2025 J jnl
A Matlab platform for pacemaker algorithm assessment based on anatomically detailed closed-loop computer modeling.
Eng. Comput.
Niccoló Biasi, Davide M. Vultaggio, Paolo Seghetti, Marco Laurino, Alessandro Tognetti
2023 J jnl
A 3D Transmurally Heterogeneous Computational Model of the Brugada Syndrome Phenotype.
IEEE Access
Paolo Seghetti, Niccoló Biasi, Alessandro Tognetti
2023 — conf
Incremental Pacing Induces Sustained Reentry in a Computational Model of Brugada Syndrome.
CinC
Niccoló Biasi, Paolo Seghetti, Alessandro Tognetti, Edward J. Vigmond
2022 — conf
A Computational Model of Brugada Syndrome in 3D Heterogeneous Cardiac Tissue.
CinC
Paolo Seghetti, Niccoló Biasi, Marco Laurino, Alessandro Tognetti
2022 J jnl
A Reaction-Diffusion Heart Model for the Closed-Loop Evaluation of Heart-Pacemaker Interaction.
IEEE Access
Niccoló Biasi, Paolo Seghetti, Matteo Mercati, Alessandro Tognetti
2022 — conf
A transmurally heterogeneous model of the ventricular tissue and its application for simulation of Brugada Syndrome.
EMBC
Niccoló Biasi, Paolo Seghetti, Alessandro Tognetti
2022 — conf
Electrophysiological Closed Loop Model of the Heart as Supporting Tool for Cardiac Pacing.
CinC
Niccoló Biasi, Matteo Mercati, Paolo Seghetti, Alessandro Tognetti
2022 — conf
Low cardiac frequency associated with higher number of extrasistoles in a computational model of Brugada Syndrome.
EMBC
Paolo Seghetti, Niccoló Biasi, Marco Laurino, Alessandro Tognetti
2021 — conf
Computational Efficient Model for Human Ventricular Epicardial Cells.
CinC
Niccoló Biasi, Alessandro Tognetti
2020 — conf
3D Model of the Heart Electrical Activity With Heterogeneous Ventricular Action Potentials.
CinC
Niccoló Biasi, Alessandro Tognetti
2020 — conf
Combining physics-based simulation and machine learning for EIT-based tactile sensing.
IEEE SENSORS
Niccoló Biasi, Nicola Carbonaro, Lucia Arcarisi, Alessandro Tognetti