RBF Networks Exploiting Supervised Data in the Adaptation of Hidden Neuron Parameters. - Palma Blonda; Andrea Baraldi 001; Annarita D'Addabbo; Cristina Tarantino; Roberto De Blasi (AI*IA, 2001)

Detection of multiple sclerosis lesions in MRIs with an SVM classifier. - Annarita D'Addabbo; Nicola Ancona; Palma Blonda; Roberto Alberto De Blasi (Image Processing, 2003)

Dynamic Bayesian Networks to predict sequences of organ failures in patients admitted to ICU. - Micol Sandri; Paola Berchialla; Ileana Baldi; Dario Gregori; Roberto Alberto De Blasi (J. Biomed. Informatics, 2014)

A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer's Disease. - Angela Lombardi; Domenico Diacono; Nicola Amoroso; Przemyslaw Biecek; Alfonso Monaco; Loredana Bellantuono; Ester Pantaleo; Giancarlo Logroscino; Roberto De Blasi; Sabina Tangaro; Roberto Bellotti (Brain Informatics, 2022)

Deep networks for behavioral variant frontotemporal dementia identification from multiple acquisition sources. - Marco Di Benedetto 001; Fabio Carrara; Benedetta Tafuri; Salvatore Nigro; Roberto De Blasi; Fabrizio Falchi; Claudio Gennaro; Giuseppe Gigli; Giancarlo Logroscino; Giuseppe Amato 001 (Comput. Biol. Medicine, 2022)

Machine learning-based radiomics for amyotrophic lateral sclerosis diagnosis. - Benedetta Tafuri; Giammarco Milella; Marco Filardi; Alessia Giugno; Stefano Zoccolella; Ludovica Tamburrino; Valentina Gnoni; Daniele Urso; Roberto De Blasi; Salvatore Nigro; Giancarlo Logroscino (Expert Syst. Appl., 2024)

Radiomic alterations and clinical correlates of hypothalamic nuclei in ALS. - Benedetta Tafuri; Alessia Giugno; Salvatore Nigro; Stefano Zoccolella; Roberta Barone; Ludovica Tamburrino; Valentina Gnoni; Daniele Urso; Eleonora Rollo; Roberto De Blasi; Giancarlo Logroscino (Comput. Biol. Medicine, 2025)