Efficient approximation of cardiac mechanics through reduced order modeling with deep learning-based operator approximation. - Ludovica Cicci; Stefania Fresca; Andrea Manzoni; Alfio Quarteroni (CoRR, 2022)

Deep-HyROMnet: A Deep Learning-Based Operator Approximation for Hyper-Reduction of Nonlinear Parametrized PDEs. - Ludovica Cicci; Stefania Fresca; Andrea Manzoni (J. Sci. Comput., 2022)

Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression. - Ludovica Cicci; Stefania Fresca; Mengwu Guo; Andrea Manzoni; Paolo Zunino (Comput. Math. Appl., 2023)

Multi-scale Whole-Heart Electromechanics Modeling to Link Cellular, Tissue and Systemic Properties to Cardiac Biomarkers in the Diabetic Male and Female Heart. - Marina Strocchi; Rosie K. Barrows; Cristóbal Rodero; José Alonso Solís-Lemus; Shuang Qian; Ludovica Cicci; Abdul Qayyum; Devran Ugurlu; Christoph M. Augustin; Matthias A. F. Gsell; Edward J. Vigmond; Gernot Plank; et al. (FIMH (1), 2025)