Embedded platform-based system for early detection of Alzheimer disease through transcranial magnetic stimulation. - Claudio Crema; Alessandro Depari; Alessandra Flammini; Emiliano Sisinni; Alberto Benussi; Barbara Borroni; Alessandro Padovani (SAS, 2018)

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study. - Gustav Mårtensson; Daniel Ferreira 003; Tobias Granberg; Lena Cavallin; Ketil Oppedal; Alessandro Padovani; Irena Rektorová; Laura Bonanni; Matteo Pardini; Milica G. Kramberger; John-Paul Taylor; Jakub Hort; et al. (CoRR, 2019)

An IoT Based Architecture for Enhancing the Effectiveness of Prototype Medical Instruments Applied to Neurodegenerative Disease Diagnosis. - Alessandro Depari; Dhiego Fernandes Carvalho; Paolo Bellagente; Paolo Ferrari; Emiliano Sisinni; Alessandra Flammini; Alessandro Padovani (Sensors, 2019)

The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study. - Gustav Mårtensson; Daniel Ferreira 003; Tobias Granberg; Lena Cavallin; Ketil Oppedal; Alessandro Padovani; Irena Rektorová; Laura Bonanni; Matteo Pardini; Milica G. Kramberger; John-Paul Taylor; Jakub Hort; et al. (Medical Image Anal., 2020)

Gender-Related Vulnerability of Dopaminergic Neural Networks in Parkinson's Disease. - Cecilia Boccalini; Giulia Carli; Andrea Pilotto; Alessandro Padovani; Daniela Perani (Brain Connect., 2021)

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. - Petter Minne; Alvaro Fernandez-Quilez; Dag Aarsland; Daniel Ferreira 003; Eric Westman; Afina W. Lemstra; Mara Ten Kate; Alessandro Padovani; Irena Rektorová; Laura Bonanni; Flavio Nobili; Milica G. Kramberger; et al. (Computer-Aided Diagnosis, 2022)

Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model. - Amira Soliman 002; 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; et al. (BMC Medical Informatics Decis. Mak., 2022)

Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis. - Erica Tavazzi; Roberto Gatta; Mauro Vallati; Stefano Cotti Piccinelli; Massimiliano Filosto; Alessandro Padovani; Maurizio Castellano; Barbara Di Camillo (BMC Medical Informatics Decis. Mak., 2022)