RT Journal Article
T1 Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners.
A1 Garcia-Dias, Rafael
A1 Scarpazza, Cristina
A1 Baecker, Lea
A1 Vieira, Sandra
A1 Pinaya, Walter H L
A1 Corvin, Aiden
A1 Redolfi, Alberto
A1 Nelson, Barnaby
A1 Crespo-Facorro, Benedicto
A1 McDonald, Colm
A1 Tordesillas-Gutiérrez, Diana
A1 Cannon, Dara
A1 Mothersill, David
A1 Hernaus, Dennis
A1 Morris, Derek
A1 Setien-Suero, Esther
A1 Donohoe, Gary
A1 Frisoni, Giovanni
A1 Tronchin, Giulia
A1 Sato, João
A1 Marcelis, Machteld
A1 Kempton, Matthew
A1 van Haren, Neeltje E M
A1 Gruber, Oliver
A1 McGorry, Patrick
A1 Amminger, Paul
A1 McGuire, Philip
A1 Gong, Qiyong
A1 Kahn, René S
A1 Ayesa-Arriola, Rosa
A1 van Amelsvoort, Therese
A1 Ortiz-García de la Foz, Victor
A1 Calhoun, Vince
A1 Cahn, Wiepke
A1 Mechelli, Andrea
AB • 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.
YR 2020
FD 2020-07-04
LK http://hdl.handle.net/10668/15889
UL http://hdl.handle.net/10668/15889
LA en
DS RISalud
RD Apr 10, 2025