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Jose A. Obeso
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2020 – today
- 2024
- [j4]Rick van Veen
, Neha Rajendra Bari Tamboli
Subspace corrected relevance learning with application in neuroimaging. Artif. Intell. Medicine 149: 102786 (2024)
2010 – 2019
- 2019
- [j3]Octavio Martinez Manzanera, Sanne K. Meles, Klaus Leonard Leenders
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) - 2018
- [c3]Rick van Veen
Machine Learning Based Analysis of FDG-PET Image Data for the Diagnosis of Neurodegenerative Diseases. APPIS 2018: 280-289 - 2016
- [i1]Luca Giancardo, Álvaro Sánchez-Ferro, Teresa Arroyo-Gallego, Ian Butterworth, Carlos S. Mendoza, Paloma Montero, Michele Matarazzo
Computer keyboard interaction as an indicator of early Parkinson's disease. CoRR abs/1604.08620 (2016) - 2015
- [j2]Juan A. Juanes
Computer-Based Visualization System for the Study of Deep Brain Structures Involved in Parkinson's Disease. J. Medical Syst. 39(11): 151 (2015) - 2014
- [c2]Juan A. Juanes Méndez
An advanced visualization system for the neurofunctional study of Parkinson's disease. TEEM 2014: 27-30 - 2013
- [c1]Rafael Rodriguez-Rojas, Gretel Sanabria
Using Graph Theory to Identify Aberrant Hierarchical Patterns in Parkinsonian Brain Networks. CIARP (2) 2013: 134-141
2000 – 2009
- 2009
- [j1]María Collantes
New MRI, 18F-DOPA and 11C-(+)-α-dihydrotetrabenazine templates for Macaca fascicularis neuroimaging: Advantages to improve PET quantification. NeuroImage 47(2): 533-539 (2009)
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last updated on 2024-06-19 21:02 CEST by the dblp team
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