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Sandro Sorbi
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2020 – today
- 2024
- [j2]Francesco Conti
, Martina Banchelli, Valentina Bessi
Harnessing topological machine learning in Raman spectroscopy: Perspectives for Alzheimer's disease detection via cerebrospinal fluid analysis. J. Frankl. Inst. 361(18): 107249 (2024) - [j1]Elena Sibilano
Understanding the Role of Self-Attention in a Transformer Model for the Discrimination of SCD From MCI Using Resting-State EEG. IEEE J. Biomed. Health Informatics 28(6): 3422-3433 (2024) - [i2]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, Caroline Graff, Daniela Galimberti, Rik Vandenberghe, Alexandre de Mendonça, Pietro Tiraboschi, Isabel Santana, Alexander Gerhard, Johannes Levin, Sandro Sorbi, Markus Otto, Florence Pasquier, Simon Ducharme, Chris R. Butler, Isabelle Le Ber, Elizabeth C. Finger, Maria C. Tartaglia, Mario Masellis, James B. Rowe, Matthis Synofzik, Fermin Moreno, Barbara Borroni, Samuel Kaski, Jonathan D. Rohrer, Janaina Mourão Miranda:
Identifying latent disease factors differently expressed in patient subgroups using group factor analysis. CoRR abs/2410.07890 (2024) - 2023
- [i1]Francesco Conti, 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, Paolo Matteini:
Alzheimer Disease Detection from Raman Spectroscopy of the Cerebrospinal Fluid via Topological Machine Learning. CoRR abs/2309.03664 (2023)
2010 – 2019
- 2015
- [c1]Silvia Comani
Assessing neuro-motor recovery in a stroke survivor with high-resolution EEG, robotics and Virtual Reality. EMBC 2015: 3925-3928
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