Use of the gait profile score for the quantification of the effects of robot-assisted gait training in patients with Parkinson's disease. - Manuela Galli; Ilaria Pacifici; Veronica Cimolin; Maria Francesca De Pandis; Alessandro Vagnini; Domenica Le Pera; Ivan Sova; Giorgio Albertini; Fabrizio Stocchi; Marco Franceschini (RTSI, 2016)

Mining clinical and laboratory data of neurodegenerative diseases by Machine Learning: transcriptomic biomarkers. - Ivan Arisi; Mara D'Onofrio; Rossella Brandi; Michele Sonnessa; Alessandra Campanelli; Rita Florio; Valentina Sposato; Francesca Malerba; Antonino Cattaneo; Patrizia Mecocci; Giuseppe Bruno; Marco Canevelli; et al. (BIBM, 2018)

Machine Learning to Predict Cognitive Decline of Patients with Alzheimer's Disease Using EEG Markers: A Preliminary Study. - Francesco Fontanella; Sonia Pinelli; Claudio Babiloni; Roberta Lizio; Claudio Del Percio; Susanna Lopez; Giuseppe Noce; Franco Giubilei; Fabrizio Stocchi; Giovanni B. Frisoni; Flavio Nobili; Raffaele Ferri; et al. (ICIAP (1), 2022)

Resting-state functional MRI metrics to detect freezing of gait in Parkinson's disease: a machine learning approach. - Caterina Vicidomini; Francesco Fontanella; Tiziana D'Alessandro; Giovanni N. Roviello; Claudio De Stefano; Fabrizio Stocchi; Mario Quarantelli; Maria Francesca De Pandis (Comput. Biol. Medicine, 2025)