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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 2024-10-07 22:09 CEST by the dblp team
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