New MRI, 18F-DOPA and 11C-(+)-α-dihydrotetrabenazine templates for Macaca fascicularis neuroimaging: Advantages to improve PET quantification. - María Collantes; Elena Prieto; Iván Peñuelas; Javier Blesa; Carlos Juri; Josep María Martí-Climent; Gemma Quincoces; Javier Arbizu; Mario Riverol; José Luis Zubieta; Maria C. Rodriguez-Oroz; Maria-Rosario Luquin; et al. (NeuroImage, 2009)

Using Graph Theory to Identify Aberrant Hierarchical Patterns in Parkinsonian Brain Networks. - Rafael Rodriguez-Rojas; Gretel Sanabria; Lester Melie; Juan-Miguel Morales; Maylen Carballo; David García; Jose A. Obeso; Maria C. Rodriguez-Oroz (CIARP (2), 2013)

An advanced visualization system for the neurofunctional study of Parkinson's disease. - Juan A. Juanes Méndez; Pablo Ruisoto; José A. Obeso; Joan San-Molina; Alberto Prats (TEEM, 2014)

Computer-Based Visualization System for the Study of Deep Brain Structures Involved in Parkinson's Disease. - Juan A. Juanes; Pablo Ruisoto; José A. Obeso; Alberto Prats; Joan San-Molina (J. Medical Syst., 2015)

Computer keyboard interaction as an indicator of early Parkinson's disease. - Luca Giancardo; Álvaro Sánchez-Ferro; Teresa Arroyo-Gallego; Ian Butterworth; Carlos S. Mendoza; Paloma Montero; Michele Matarazzo; José A. Obeso; Martha L. Gray; Raúl San José Estépar (CoRR, 2016)

Machine Learning Based Analysis of FDG-PET Image Data for the Diagnosis of Neurodegenerative Diseases. - Rick van Veen; Lidia Talavera-Martínez; Rosalie V. Kogan; Sanne K. Meles; Deborah Mudali; Jos B. T. M. Roerdink; Federico Massa; M. Grazzini; Jose A. Obeso; Maria C. Rodriguez-Oroz; Klaus Leonard Leenders; Remco J. Renken; et al. (APPIS, 2018)

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)

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; et al. (Artif. Intell. Medicine, 2024)