Nonlinear model order reduction for problems with microstructure using mesh informed neural networks. - Piermario Vitullo; Alessio Colombo; Nicola Rares Franco; Andrea Manzoni; Paolo Zunino (CoRR, 2023)

Modeling hypoxia-induced radiation resistance and the impact of radiation sources. - Luca Possenti; Piermario Vitullo; Alessandro Cicchetti; Paolo Zunino; Tiziana Rancati (Comput. Biol. Medicine, 2024)

Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy. - Piermario Vitullo; Nicola Rares Franco; Paolo Zunino (CoRR, 2024)

Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks. - D. Cerrone; D. Riccobelli; Piermario Vitullo; F. Ballarin; J. Falco; F. Acerbi; A. Manzoni; Paolo Zunino; Pasquale Ciarletta (CoRR, 2024)

Patient-specific microvascular computational modeling for estimating radiotherapy outcomes. - Sophie Materne; Luca Possenti; Francesco Pisani; Piermario Vitullo; Alessandra Catalano; Nicola Iacovelli; Marzia Franceschini; Anna Cavallo; Alessandro Cicchetti; Paolo Zunino; Tiziana Rancati (Comput. Biol. Medicine, 2025)

Mathematical modeling and sensitivity analysis of hypoxia-activated drugs. - Alessandro Coclite; Riccardo Montanelli Eccher; Luca Possenti; Piermario Vitullo; Paolo Zunino (CoRR, 2025)