%0 Journal Article
%A Garcia-Dias, Rafael
%A Scarpazza, Cristina
%A Baecker, Lea
%A Vieira, Sandra
%A Pinaya, Walter H L
%A Corvin, Aiden
%A Redolfi, Alberto
%A Nelson, Barnaby
%A Crespo-Facorro, Benedicto
%A McDonald, Colm
%A Tordesillas-Gutiérrez, Diana
%A Cannon, Dara
%A Mothersill, David
%A Hernaus, Dennis
%A Morris, Derek
%A Setien-Suero, Esther
%A Donohoe, Gary
%A Frisoni, Giovanni
%A Tronchin, Giulia
%A Sato, João
%A Marcelis, Machteld
%A Kempton, Matthew
%A van Haren, Neeltje E M
%A Gruber, Oliver
%A McGorry, Patrick
%A Amminger, Paul
%A McGuire, Philip
%A Gong, Qiyong
%A Kahn, René S
%A Ayesa-Arriola, Rosa
%A van Amelsvoort, Therese
%A Ortiz-García de la Foz, Victor
%A Calhoun, Vince
%A Cahn, Wiepke
%A Mechelli, Andrea
%T Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners.
%D 2020
%U http://hdl.handle.net/10668/15889
%X • We present Neuroharmony, a harmonization tool for images from unseen scanners. • We developed Neuroharmony using a total of 15,026 sMRI images. • The tool was able to reduce scanner-related bias from unseen scans. • Neuroharmony represents a significant step towards imaging-based clinical tools. • Neuroharmony is available at https://github.com/garciadias/Neuroharmony.
%~