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2020 – today
- 2022
[j5]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)- [j4]Erica Tavazzi, Roberto Gatta, Mauro Vallati, Stefano Cotti Piccinelli, Massimiliano Filosto, Alessandro Padovani, Maurizio Castellano, Barbara Di Camillo:
Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis. BMC Medical Informatics Decis. Mak. 22-S(6): 346 (2022) - [c2]Petter Minne, Alvaro Fernandez-Quilez, Dag Aarsland, Daniel Ferreira, Eric Westman, Afina W. Lemstra, Mara Ten Kate, Alessandro Padovani, Irene Rektorova, Laura Bonanni, Flavio Nobili, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Frédéric Blanc, Angelo Antonini, Ketil Oppedal:
A study on 3D classical versus GAN-based augmentation for MRI brain image to predict the diagnosis of dementia with Lewy bodies and Alzheimer's disease in a European multi-center study. Computer-Aided Diagnosis 2022 - 2021
- [j3]Cecilia Boccalini, Giulia Carli, Andrea Pilotto, Alessandro Padovani, Daniela Perani:
Gender-Related Vulnerability of Dopaminergic Neural Networks in Parkinson's Disease. Brain Connect. 11(1): 3-11 (2021) - 2020
- [j2]Gustav Mårtensson, Daniel Ferreira, Tobias Granberg, Lena Cavallin, Ketil Oppedal, Alessandro Padovani, Irena Rektorová, Laura Bonanni, Matteo Pardini, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Jaime Kulisevsky, Frédéric Blanc, Angelo Antonini, Patrizia Mecocci, Bruno Vellas, Eric Westman:
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study. Medical Image Anal. 66: 101714 (2020)
2010 – 2019
- 2019
- [j1]Alessandro Depari, Dhiego Fernandes Carvalho, Paolo Bellagente, Paolo Ferrari, Emiliano Sisinni, Alessandra Flammini, Alessandro Padovani:
An IoT Based Architecture for Enhancing the Effectiveness of Prototype Medical Instruments Applied to Neurodegenerative Disease Diagnosis. Sensors 19(7): 1564 (2019) - [i1]Gustav Mårtensson, Daniel Ferreira, Tobias Granberg, Lena Cavallin, Ketil Oppedal, Alessandro Padovani, Irena Rektorová, Laura Bonanni, Matteo Pardini, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Jaime Kulisevsky, Frédéric Blanc, Angelo Antonini, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kloszewska, Hilkka Soininen, Simon Lovestone, Andrew Simmons, Dag Aarsland, Eric Westman:
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study. CoRR abs/1911.00515 (2019) - 2018
- [c1]Claudio Crema, Alessandro Depari, Alessandra Flammini, Emiliano Sisinni, Alberto Benussi, Barbara Borroni, Alessandro Padovani:
Embedded platform-based system for early detection of Alzheimer disease through transcranial magnetic stimulation. SAS 2018: 1-6
Coauthor Index
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