Neuroharmony: a new tool for harmonizing volumetric MRI data from unseen scanners
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
4 July 2020
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| In: |
NeuroImage
Year: 2020, Volume: 220 |
| ISSN: | 1095-9572 |
| DOI: | 10.1016/j.neuroimage.2020.117127 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.neuroimage.2020.117127 Verlag, lizenzpflichtig, Volltext: http://www.sciencedirect.com/science/article/pii/S1053811920306133 |
| Author Notes: | Rafael Garcia-Dias, Cristina Scarpazza, Lea Baecker, Sandra Vieira, Walter H.L. Pinaya, Aiden Corvin, Alberto Redolfi, Barnaby Nelson, Benedicto Crespo-Facorro, Colm McDonald, Diana Tordesillas-Gutiérrez, Dara Cannon, David Mothersill, Dennis Hernaus, Derek Morris, Esther Setien-Suero, Gary Donohoe, Giovanni Frisoni, Giulia Tronchin, João Sato, Machteld Marcelis, Matthew Kempton, Neeltje E.M. van Haren, Oliver Gruber, Patrick McGorry, Paul Amminger, Philip McGuire, Qiyong Gong, René S. Kahn, Rosa Ayesa-Arriola, Therese van Amelsvoort, Victor Ortiz-García de la Foz, Vince Calhoun, Wiepke Cahn, Andrea Mechelli |
| Item Description: | Gesehen am 11.12.2020 |
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| Physical Description: | Online Resource |
| ISSN: | 1095-9572 |
| DOI: | 10.1016/j.neuroimage.2020.117127 |