Author Page for Marta Gaviraghi

Alterations in Topological and Dynamical Parameters Correlate with Disease Biomarkers and Neuropsychological Scores in Prodromic Stages of Dementia

Number of pages: 20 Posted: 23 Apr 2025

Anita Monteverdi, Matteo Cotta Ramusino, Francesca Conca, Sofia Manzon, Alberto Redolfi, Eleonora Lupi, Marialaura De Grazia, Roberta M. Lorenzi, Marta Gaviraghi, Laura Mazzocchi, Lisa M. Farina, Alfredo Costa, Anna Pichiecchio, Stefano Cappa, Claudia A.M. Gandini Wheeler-Kingshott, Fulvia Palesi and Egidio Ugo D'Angelo

IRCCS Mondino Foundation Pavia, IRCCS Mondino Foundation Pavia, IRCCS Mondino Foundation Pavia, University of Pavia, IRCCS Centro San Giovanni di Dio Fatebenefratelli, University of Pavia, University of Pavia, University of Pavia, University of Pavia, IRCCS Mondino Foundation Pavia, IRCCS Mondino Foundation Pavia, IRCCS Mondino Foundation Pavia, IRCCS Mondino Foundation Pavia, Institute of Advanced Study (IUSS - Pavia), University College London, University of Pavia and University of Pavia - Department of Brain and Behavioral Sciences

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Abstract:

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To Reduce or Not to Reduce Input Data? Finding the Limits of Deep Learning Clinical Sensitivity with Fractional Anisotropy Microstructure Maps

Number of pages: 23 Posted: 09 Feb 2024

Marta Gaviraghi, Antonio Ricciardi, Fulvia Palesi, Wallace Brownlee, Paolo Vitali, Ferran Prados, Baris Kanber and Claudia A.M. Gandini Wheeler-Kingshott

University of Pavia, University College London - UCL Queen Square Institute of Neurology, University of Pavia, University College London - National Hospital for Neurology and Neurosurgery, IRCCS Policlinico San Donato, Unversitat Oberta de Catalunya, University College London - UCL Queen Square Institute of Neurology and University College London - UCL Queen Square Institute of Neurology

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Marta Gaviraghi

University of Pavia

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Scholarly Papers (2)

Alterations in Topological and Dynamical Parameters Correlate with Disease Biomarkers and Neuropsychological Scores in Prodromic Stages of Dementia

Abstract:

To Reduce or Not to Reduce Input Data? Finding the Limits of Deep Learning Clinical Sensitivity with Fractional Anisotropy Microstructure Maps

Abstract: