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Dario Arnaldi
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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) - 2023
- [c2]Parisa Sattar, Elisa Facchini, Giulia Baldazzi
, Nicla Mandas, Elisa Casaglia, Michela Figorilli, Laura Giorgetti, Pietro Mattioli, Dario Arnaldi, Monica Puligheddu, Danilo Pani:
Heart Rate Variability during Sleep-Related Wake Phases in REM Sleep Behavior Disorder. CinC 2023: 1-4 - [c1]Shikha Tripathi, Pietro Mattioli, C. Liguori, A. Chiaravalloti, Dario Arnaldi, Luca Giancardo:
Brain Hemisphere Dissimilarity, a Self-Supervised Learning Approach for alpha-synucleinopathies prediction with FDG PET. ISBI 2023: 1-5 - 2022
- [j4]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:
Evaluation of iron overload in nigrosome 1 via quantitative susceptibility mapping as a progression biomarker in prodromal stages of synucleinopathies. NeuroImage 260: 119454 (2022) - 2020
- [j3]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
:
An application of generalized matrix learning vector quantization in neuroimaging. Comput. Methods Programs Biomed. 197: 105708 (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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last updated on 2024-08-05 20:19 CEST by the dblp team
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