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ORCIDSilvia Morbelli
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2020 – today
- 2024
[j5]Rick van Veen
, Neha Rajendra Bari Tamboli, Sofie Lövdal, Sanne K. Meles, Remco J. Renken, Gert-Jan de Vries, Dario Arnaldi, Silvia Morbelli, Pedro Clavero, José A. Obeso, Maria C. Rodriguez Oroz, Klaus Leonard Leenders, Thomas Villmann, Michael Biehl:
Subspace corrected relevance learning with application in neuroimaging. Artif. Intell. Medicine 149: 102786 (2024)- [j4]Maurilio Genovese, Agostino Arcasensa, Silvia Morbelli, Matteo Lenge, Carmen Barba, Laura Mirandola, Maria Eugenia Caligiuri, Massimo Caulo, Ferruccio Panzica, Francesco Cardinale, Camilla Rossi-Espagnet, Domenico Tortora, Anna E. Vaudano:
SWANe: Standardized workflow for advanced neuroimaging in epilepsy. SoftwareX 26: 101703 (2024) - 2022
- [j3]Amira Soliman, Jose Ramon Chang, Kobra Etminani, Stefan Byttner, Anette Davidsson, Begoña Martínez-Sanchis, Valle Camacho, Matteo Bauckneht, Roxana Stegeran, Marcus Ressner, Marc Agudelo-Cifuentes, Andrea Chincarini, Matthias Brendel, Axel Rominger, Rose Bruffaerts, Rik Vandenberghe, Milica G. Kramberger, Maja Trost, Nicolas Nicastro, Giovanni B. Frisoni, Afina W. Lemstra, Bart N. M. van Berckel, Andrea Pilotto, Alessandro Padovani, Silvia Morbelli, Dag Aarsland, Flavio Nobili, Valentina Garibotto, Miguel Ochoa Figueroa:
Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model. BMC Medical Informatics Decis. Mak. 22-S(6): 318 (2022) - 2020
- [c1]Rita Lai, Daniela Schenone, Gianmario Sambuceti, Anna Maria Massone, Cristina Campi, Adriano Chiò, Claudia Caponnetto, Angelina Cistaro, Matteo Bauckneht, Vanessa Cossu, Silvia Morbelli, Cecilia Marini, Michele Piana:
Prognostic power of the human psoas muscles FDG metabolism in amyotrophic lateral sclerosis. Medical Imaging: Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [j2]Octavio Martinez Manzanera, Sanne K. Meles, Klaus Leonard Leenders, Remco J. Renken, Marco Pagani, Dario Arnaldi, Flavio Nobili, Jose A. Obeso, Maria C. Rodriguez-Oroz, Silvia Morbelli, Natasha M. Maurits:
Scaled Subprofile Modeling and Convolutional Neural Networks for the Identification of Parkinson's Disease in 3D Nuclear Imaging Data. Int. J. Neural Syst. 29(9): 1950010:1-1950010:15 (2019) - 2016
- [j1]Marco Pagani, Alessandro Giuliani, Johanna Öberg, Andrea Chincarini, Silvia Morbelli, Andrea Brugnolo, Dario Arnaldi, Agnese Picco, Matteo Bauckneht, Ambra Buschiazzo, Gianmario Sambuceti, Flavio Nobili:
Predicting the transition from normal aging to Alzheimer's disease: A statistical mechanistic evaluation of FDG-PET data. NeuroImage 141: 282-290 (2016)
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