Assessing neuro-motor recovery in a stroke survivor with high-resolution EEG, robotics and Virtual Reality. - Silvia Comani; Lorenzo Schinaia; Gabriella Tamburro; Lucia Velluto; Sandro Sorbi; Silvia Conforto; Biancamaria Guarnieri (EMBC, 2015)

Alzheimer Disease Detection from Raman Spectroscopy of the Cerebrospinal Fluid via Topological Machine Learning. - Francesco Conti 004; Martina Banchelli; Valentina Bessi; Cristina Cecchi; Fabrizio Chiti; Sara Colantonio; Cristiano D'Andrea; Marella de Angelis; Davide Moroni; Benedetta Nacmias; Maria Antonietta Pascali; Sandro Sorbi; et al. (CoRR, 2023)

Identifying latent disease factors differently expressed in patient subgroups using group factor analysis. - Fabio S. Ferreira; John Ashburner; Arabella Bouzigues; Chatrin Suksasilp; Lucy L. Russell; Phoebe H. Foster; Eve Ferry-Bolder; John C. van Swieten; Lize C. Jiskoot; Harro Seelaar; Raquel Sánchez-Valle; Robert Laforce; et al. (CoRR, 2024)

Harnessing topological machine learning in Raman spectroscopy: Perspectives for Alzheimer's disease detection via cerebrospinal fluid analysis. - Francesco Conti 004; Martina Banchelli; Valentina Bessi; Cristina Cecchi; Fabrizio Chiti; Sara Colantonio; Cristiano D'Andrea; Marella de Angelis; Davide Moroni; Benedetta Nacmias; Maria Antonietta Pascali; Sandro Sorbi; et al. (J. Frankl. Inst., 2024)

Understanding the Role of Self-Attention in a Transformer Model for the Discrimination of SCD From MCI Using Resting-State EEG. - Elena Sibilano; Domenico Buongiorno; Michael Lassi; Antonello Grippo; Valentina Bessi; Sandro Sorbi; Alberto Mazzoni; Vitoantonio Bevilacqua; Antonio Brunetti (IEEE J. Biomed. Health Informatics, 2024)