New Trends in Graph Mining: Structural and Node-Colored Network Motifs. - Francesco Bruno; Luigi Palopoli 001; Simona E. Rombo (Int. J. Knowl. Discov. Bioinform., 2010)

Regression and Machine Learning analysis to predict the length of stay in patients undergoing hip replacement surgery. - Cristina Ponsiglione; Teresa Angela Trunfio; Francesco Bruno; Anna Borrelli (BECB, 2021)

Studying variables affecting the length of stay in patients with lower limb fractures by means of Machine Learning. - Ylenia Colella; Arianna Scala; Chiara De Lauri; Francesco Bruno; Giuseppe Cesarelli; Giuseppe Ferrucci; Anna Borrelli (ICMHI, 2021)

Regression and Machine Learning Algorithm to Study the LOS of Patients Undergoing Hip Surgery. - Arianna Scala; Marta Rosaria Marino; Massimo Majolo; Giuseppe Russo; Francesco Smeraglia; Morena Anna Basso; Francesco Bruno; Anna Borrelli; Alfonso Maria Ponsiglione (BECB, 2022)

Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment. - Andrea Bianconi; Luca Francesco Rossi; Marta Bonada; Pietro Zeppa; Elsa Nico; Raffaele De Marco; Paola Lacroce; Fabio Cofano; Francesco Bruno; Giovanni Morana; Antonio Melcarne; Roberta Ruda; et al. (Brain Informatics, 2023)

An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR). - Karim Kassem; Michela Sperti; Andrea Cavallo; Andrea Mario Vergani; Davide Fassino; Monica Moz; Alessandro Liscio; Riccardo Banali; Michael Dahlweid; Luciano Benetti; Francesco Bruno; Guglielmo Gallone; et al. (Artif. Intell. Medicine, 2024)