Dario Arnaldi

According to our database, Dario Arnaldi authored at least 7 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Subspace corrected relevance learning with application in neuroimaging.

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

Artif. Intell. Medicine, 2024

2023

Brain Hemisphere Dissimilarity, a Self-Supervised Learning Approach for alpha-synucleinopathies prediction with FDG PET.

Shikha Tripathi, Pietro Mattioli, C. Liguori, A. Chiaravalloti, Dario Arnaldi, Luca Giancardo

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Heart Rate Variability during Sleep-Related Wake Phases in REM Sleep Behavior Disorder.

Parisa Sattar, Elisa Facchini, Giulia Baldazzi, Nicla Mandas, Elisa Casaglia, Michela Figorilli, Laura Giorgetti, Pietro Mattioli, Dario Arnaldi, Monica Puligheddu, Danilo Pani

Proceedings of the Computing in Cardiology, 2023

2022

Evaluation of iron overload in nigrosome 1 via quantitative susceptibility mapping as a progression biomarker in prodromal stages of synucleinopathies.

Marta Lancione, Graziella Donatelli, Eleonora Del Prete, Nicole Campese, Daniela Frosini, Matteo Cencini, Mauro Costagli, Laura Biagi, Giacomo Lucchi, Michela Tosetti, Massimiliano Godani, Dario Arnaldi, Michele Terzaghi, Federica Provini, Claudio Pacchetti, Pietro Cortelli, Enrica Bonanni, Roberto Ceravolo, Mirco Cosottini

NeuroImage, 2022

2020

An application of generalized matrix learning vector quantization in neuroimaging.

Rick van Veen, Vita Gurvits, Rosalie V. Kogan, Sanne K. Meles, Gert-Jan de Vries, Remco J. Renken, Maria C. Rodriguez-Oroz, Rafael Rodriguez-Rojas, Dario Arnaldi, Stefano Raffa, Bauke M. de Jong, Klaus Leonard Leenders, Michael Biehl

Comput. Methods Programs Biomed., 2020

2019

Scaled Subprofile Modeling and Convolutional Neural Networks for the Identification of Parkinson's Disease in 3D Nuclear Imaging Data.

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

Int. J. Neural Syst., 2019

2016

Predicting the transition from normal aging to Alzheimer's disease: A statistical mechanistic evaluation of FDG-PET data.

Marco Pagani, Alessandro Giuliani, Johanna Öberg, Andrea Chincarini, Silvia Morbelli, Andrea Brugnolo, Dario Arnaldi, Agnese Picco, Matteo Bauckneht, Ambra Buschiazzo, Gianmario Sambuceti, Flavio Nobili

NeuroImage, 2016