Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners
Publication date
2020-10-15
Authors
Garcia-Dias, Rafael
Scarpazza, Cristina
Baecker, Lea
Vieira, Sandra
Pinaya, Walter H L
Corvin, Aiden
Redolfi, Alberto
Nelson, Barnaby
Crespo-Facorro, Benedicto
McDonald, Colm
Editors
Advisors
Supervisors
Document Type
Article
Metadata
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License
cc_by
Abstract
Keywords
Neurology, Cognitive Neuroscience, Journal Article
Citation
Garcia-Dias, R, Scarpazza, C, Baecker, L, Vieira, S, Pinaya, W H L, Corvin, A, Redolfi, A, Nelson, B, Crespo-Facorro, B, McDonald, C, Tordesillas-Gutiérrez, D, Cannon, D, Mothersill, D, Hernaus, D, Morris, D, Setien-Suero, E, Donohoe, G, Frisoni, G, Tronchin, G, Sato, J, Marcelis, M, Kempton, M, van Haren, N E M, Gruber, O, McGorry, P, Amminger, P, McGuire, P, Gong, Q, Kahn, R S, Ayesa-Arriola, R, van Amelsvoort, T, Ortiz-García de la Foz, V, Calhoun, V, Cahn, W & Mechelli, A 2020, 'Neuroharmony : A new tool for harmonizing volumetric MRI data from unseen scanners', NeuroImage, vol. 220, 117127. https://doi.org/10.1016/j.neuroimage.2020.117127