Items where Author is "Tonon, Caterina"
Number of items: 35. BiMorisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, Laura Ludovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and multi-class Parkinsonian disorders classification using Support Vector Machines with graph-based features. Working Paper (Submitted) Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015) CoMorisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, Laura Ludovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and multi-class Parkinsonian disorders classification using Support Vector Machines with graph-based features. Working Paper (Submitted) 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) Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015) EvMorisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, Laura Ludovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and multi-class Parkinsonian disorders classification using Support Vector Machines with graph-based features. Working Paper (Submitted) 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) Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015) GnMorisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, Laura Ludovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and multi-class Parkinsonian disorders classification using Support Vector Machines with graph-based features. Working Paper (Submitted) 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) Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015) GrMorisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, Laura Ludovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and multi-class Parkinsonian disorders classification using Support Vector Machines with graph-based features. Working Paper (Submitted) 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) Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015) LaMorisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, Laura Ludovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and multi-class Parkinsonian disorders classification using Support Vector Machines with graph-based features. Working Paper (Submitted) 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) Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015) LoMorisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, Laura Ludovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and multi-class Parkinsonian disorders classification using Support Vector Machines with graph-based features. Working Paper (Submitted) 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) Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015) MaMorisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, Laura Ludovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and multi-class Parkinsonian disorders classification using Support Vector Machines with graph-based features. Working Paper (Submitted) 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) Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015) MoMorisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, Laura Ludovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and multi-class Parkinsonian disorders classification using Support Vector Machines with graph-based features. Working Paper (Submitted) 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) Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015) TeMorisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, Laura Ludovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and multi-class Parkinsonian disorders classification using Support Vector Machines with graph-based features. Working Paper (Submitted) 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) Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015) ToMorisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, Laura Ludovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and multi-class Parkinsonian disorders classification using Support Vector Machines with graph-based features. Working Paper (Submitted) 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) Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015) ZaMorisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, Laura Ludovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and multi-class Parkinsonian disorders classification using Support Vector Machines with graph-based features. Working Paper (Submitted) 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) Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015) |
