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Number of items: 59.

Bi

Morisi, 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)

Bo

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

Co

Morisi, 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)

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

Cu

Morisi, Rita and Donini, Bruno and Lanconelli, Nico and Rosengarden, James and Morgan, John and Harden, Stephen and Curzen, Nick Semi-automated scar detection in delayed enhanced cardiac magnetic resonance images. International Journal of Modern Physics C, 26 (01). p. 1550011. ISSN 0129-1831 (2015)

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

Do

Morisi, Rita and Donini, Bruno and Lanconelli, Nico and Rosengarden, James and Morgan, John and Harden, Stephen and Curzen, Nick Semi-automated scar detection in delayed enhanced cardiac magnetic resonance images. International Journal of Modern Physics C, 26 (01). p. 1550011. ISSN 0129-1831 (2015)

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

Ev

Morisi, 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)

Ga

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

Gn

Morisi, 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)

Go

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

Gr

Morisi, 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)

Ha

Morisi, Rita and Donini, Bruno and Lanconelli, Nico and Rosengarden, James and Morgan, John and Harden, Stephen and Curzen, Nick Semi-automated scar detection in delayed enhanced cardiac magnetic resonance images. International Journal of Modern Physics C, 26 (01). p. 1550011. ISSN 0129-1831 (2015)

He

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

La

Morisi, 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)

Morisi, Rita and Donini, Bruno and Lanconelli, Nico and Rosengarden, James and Morgan, John and Harden, Stephen and Curzen, Nick Semi-automated scar detection in delayed enhanced cardiac magnetic resonance images. International Journal of Modern Physics C, 26 (01). p. 1550011. ISSN 0129-1831 (2015)

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

Lo

Morisi, 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)

Ma

Morisi, 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)

Mo

Morisi, 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)

Morisi, Rita and Donini, Bruno and Lanconelli, Nico and Rosengarden, James and Morgan, John and Harden, Stephen and Curzen, Nick Semi-automated scar detection in delayed enhanced cardiac magnetic resonance images. International Journal of Modern Physics C, 26 (01). p. 1550011. ISSN 0129-1831 (2015)

Morisi, Rita and Donini, Bruno and Lanconelli, Nico and Rosengarden, James and Morgan, John and Harden, Stephen and Curzen, Nick Semi-automated scar detection in delayed enhanced cardiac magnetic resonance images. International Journal of Modern Physics C, 26 (01). p. 1550011. ISSN 0129-1831 (2015)

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

Pe

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

Ro

Morisi, Rita and Donini, Bruno and Lanconelli, Nico and Rosengarden, James and Morgan, John and Harden, Stephen and Curzen, Nick Semi-automated scar detection in delayed enhanced cardiac magnetic resonance images. International Journal of Modern Physics C, 26 (01). p. 1550011. ISSN 0129-1831 (2015)

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

So

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

Te

Morisi, 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)

To

Morisi, 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)

Tu

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

Ve

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

Za

Morisi, 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)

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