POSITION PAPER: Credibility of In Silico Trial Technologies: A Theoretical Framing. - Marco Viceconti; Miguel A. Juárez; Cristina Curreli; Marzio Pennisi; Giulia Russo; Francesco Pappalardo 001 (CoRR, 2019)

Verify: a toolbox for deterministic verification of computational models. - Giuseppe Alessandro Parasiliti Palumbo; Giulia Russo; Giuseppe Sgroi; Marco Viceconti; Marzio Pennisi; Cristina Curreli; Francesco Pappalardo 001 (BIBM, 2020)

Generation of digital patients for the simulation of tuberculosis with UISS-TB. - Miguel A. Juárez; Marzio Pennisi; Giulia Russo; Dimitrios Kiagias; Cristina Curreli; Marco Viceconti; Francesco Pappalardo 001 (BMC Bioinform., 2020)

Credibility of In Silico Trial Technologies - A Theoretical Framing. - Marco Viceconti; Miguel A. Juárez; Cristina Curreli; Marzio Pennisi; Giulia Russo; Francesco Pappalardo 001 (IEEE J. Biomed. Health Informatics, 2020)

Possible Contexts of Use for In Silico Trials Methodologies: A Consensus-Based Review. - Marco Viceconti; Luca Emili; Payman Afshari; Eulalie Courcelles; Cristina Curreli; Nele Famaey; Liesbet Geris; Marc Horner; Maria Cristina Jori; Alexander Kulesza; Axel Loewe; Michael Neidlin; et al. (IEEE J. Biomed. Health Informatics, 2021)

Toward A Regulatory Pathway for the Use of in Silico Trials in the CE Marking of Medical Devices. - Francesco Pappalardo 001; John Wilkinson; Francois Busquet; Antoine Bril; Mark Palmer; Kenneth B. Walker; Cristina Curreli; Giulia Russo; Thierry Marchal; Elena Toschi; Rossana Alessandrello; Vincenzo Costignola; et al. (IEEE J. Biomed. Health Informatics, 2022)

Credibility assessment of computational models according to ASME V&V40: Application to the Bologna Biomechanical Computed Tomography solution. - Alessandra Aldieri; Cristina Curreli; Julia Aleksandra Szyszko; Antonino Amedeo La Mattina; Marco Viceconti (Comput. Methods Programs Biomed., 2023)

AST: An OpenSim-based tool for the automatic scaling of generic musculoskeletal models. - Andrea Di Pietro; Alex Bersani; Cristina Curreli; Francesca Di Puccio (Comput. Biol. Medicine, 2024)

Position Paper: Extending Credibility Assessment of In Silico Medicine Predictors to Machine Learning Predictors. - Marco Viceconti; Filippo Lanubile; Antonella Carbonaro; Sabato Mellone; Cristina Curreli; Alessandra Aldieri; Saverio Ranciati; Angela Montanari (IEEE J. Biomed. Health Informatics, 2025)