relation: http://eprints.imtlucca.it/3129/
title: Binary and multi-class classification of parkinsonian disorders with support vector machines based on quantitative brain MR and graph-based features
creator: Gramegna, Laura Ludovica
creator: Testa, Claudia
creator: Morisi, Rita
creator: Zanigni, Stefano
creator: Gnecco, Giorgio
creator: Lanconelli, Nico
creator: Manners, David Neil
creator: Evangelisti, Stefania
creator: Cortelli, Pietro
creator: Tonon, Caterina
creator: Lodi, Raffaele
subject: QA75 Electronic computers. Computer science
subject: RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
date: 2016
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Gramegna, Laura Ludovica and Testa, Claudia and Morisi, Rita and Zanigni, Stefano and Gnecco, Giorgio and Lanconelli, Nico and Manners, David Neil and Evangelisti, Stefania and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele  Binary and multi-class classification of parkinsonian disorders with support vector machines based on quantitative brain MR and graph-based features.  In: ISMRM 2016 - Italian Chapter. Risonanza magnetica in medicina: dalla ricerca tecnologica avanzata alla pratica clinica, February 4-5, 2016, Bologna         (2016)