Moddicom: a complete and easily accessible library for prognostic evaluations relying on image features. - Nicola Dinapoli; Anna Rita Alitto; Mauro Vallati; Roberto Gatta; Rosa Autorino; Luca Boldrini; Andrea Damiani; Vincenzo Valentini (EMBC, 2015)

RadioBio data: A Moddicom Module to Predict Tumor Control Probability and Normal Tissue Complication Probability in Radiotherapy. - Nicola Dinapoli; Anna Rita Alitto; Mauro Vallati; Rosa Autorino; Roberto Gatta; Luca Boldrini; Andrea Damiani; Giovanna Mantini; Vincenzo Valentini (HEALTHINF, 2016)

On the Feasibility of Distributed Process Mining in Healthcare. - Roberto Gatta; Mauro Vallati; Jacopo Lenkowicz; Carlotta Masciocchi; Francesco Cellini; Luca Boldrini; Carlos Fernández-Llatas; Vincenzo Valentini; Andrea Damiani (ICCS (5), 2019)

Building an Artificial Intelligence Laboratory Based on Real World Data: The Experience of Gemelli Generator. - Andrea Damiani; Carlotta Masciocchi; Jacopo Lenkowicz; Nikola Dino Capocchiano; Luca Boldrini; Luca Tagliaferri; A. Cesario; P. Sergi; Antonio Marchetti; Alice Luraschi; Stefano Patarnello; Vincenzo Valentini (Frontiers Comput. Sci., 2021)

Federated Cox Proportional Hazards Model with multicentric privacy-preserving LASSO feature selection for survival analysis from the perspective of personalized medicine. - Carlotta Masciocchi; Benedetta Gottardelli; Mariachiara Savino; Luca Boldrini; Antonella Martino; Ciro Mazzarella; Mariangela Massaccesi; Vincenzo Valentini; Andrea Damiani (CBMS, 2022)

Local tuning of radiomics-based model for predicting pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. - Bin Tang; Jacopo Lenkowicz; Qian Peng; Luca Boldrini; Qing Hou; Nicola Dinapoli; Vincenzo Valentini; Peng Diao; Gang Yin; Lucia Clara Orlandini (BMC Medical Imaging, 2022)

Privacy-friendly evaluation of patient data with secure multiparty computation in a European pilot study. - Hendrik Ballhausen; Stefanie Corradini; Claus Belka; Dan Bogdanov; Luca Boldrini; Francesco Bono; Christian Goelz; Guillaume Landry; Giulia Panza; Katia Parodi; Riivo Talviste; Huong Elena Tran; et al. (npj Digit. Medicine, 2024)

Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi-Center Setting. - Jovana Panic; Arianna Defeudis; Lorenzo Vassallo; Stefano Cirillo; Marco Gatti; Roberto Sghedoni; Michele Avanzo; Angelo Vanzulli; Luca Sorrentino; Luca Boldrini; Huong Elena Tran; Giuditta Chiloiro; et al. (Int. J. Imaging Syst. Technol., 2025)