Piermario Vitullo

Post-doctoral Research Fellow

Contact Information

Phone:
+39 02 2399
Fax:
+39 02 2399
Office:
Ed. 14 - Nave
Email:

Keywords

Computational learning
Advanced Numerical Methods for Scientific Computing
Living Systems and Precision Medicine

Available MOX Reports

CERRONE, D.; RICCOBELLI, D.; VITULLO, P.; BALLARIN, F.; FALCO, J.; ACERBI, F.; MANZONI, A.; ZUNINO, P.; CIARLETTA, P.
Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks
POSSENTI, L.; VITULLO, P.; CICCHETTI, A.; ZUNINO, P.; RANCATI, T.
Modeling Hypoxia Induced Radiation Resistance and the Impact of Radiation Sources
VITULLO, P.; FRANCO, N.R.; ZUNINO, P.
Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy
POSSENTI, L.; GALLO, A.; VITULLO, P.; CICCHETTI, A.; RANCATI, T.; COSTANTINO, M.L.; ZUNINO, P.
A computational model of the tumor microenvironment applied to fractionated radiotherapy
VITULLO, P.; CICCI, L.; POSSENTI, L.; COCLITE, A.; COSTANTINO, M.L.; ZUNINO, P.
Sensitivity analysis of a multi-physics model for the vascular microenvironment
VITULLO, P.; COLOMBO, A.; FRANCO, N.R.; MANZONI, A.; ZUNINO, P.
Nonlinear model order reduction for problems with microstructure using mesh informed neural networks
FUMAGALLI, I.; VITULLO, P.; SCROFANI, R.; VERGARA, C.
Image-based computational hemodynamics analysis of systolic obstruction in hypertrophic cardiomyopathy