Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners

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-Gutierrez, Dara Cannon, David Mothersill, Dennis Hernaus, Derek Morris, Esther Setien-Suero, Gary Donohoe, Giovanni Frisoni, Giulia Tronchin, Joao SatoMachteld Marcelis, Matthew Kempton, Neeltje E. M. van Haren, Oliver Gruber, Patrick McGorry, Paul Amminger, Philip McGuire, Qiyong Gong, Rene S. Kahn, Rosa Ayesa-Arriola, Therese van Amelsvoort, Victor Ortiz-Garcia de la Foz, Vince Calhoun, Wiepke Cahn, Andrea Mechelli

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Article number117127
Number of pages15
JournalNeuroimage
Volume220
DOIs
Publication statusPublished - 15 Oct 2020

Keywords

  • VOXEL-BASED MORPHOMETRY
  • FALSE-POSITIVE RATES
  • ALZHEIMERS-DISEASE
  • CORTICAL THICKNESS
  • SINGLE MATTERS
  • BRAIN
  • CLASSIFICATION
  • MACHINE
  • IMAGES
  • SEGMENTATION

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