TY  - JOUR
AU  - Garcia-Dias, Rafael
AU  - Scarpazza, Cristina
AU  - Baecker, Lea
AU  - Vieira, Sandra
AU  - Pinaya, Walter H L
AU  - Corvin, Aiden
AU  - Redolfi, Alberto
AU  - Nelson, Barnaby
AU  - Crespo-Facorro, Benedicto
AU  - McDonald, Colm
AU  - Tordesillas-Gutiérrez, Diana
AU  - Cannon, Dara
AU  - Mothersill, David
AU  - Hernaus, Dennis
AU  - Morris, Derek
AU  - Setien-Suero, Esther
AU  - Donohoe, Gary
AU  - Frisoni, Giovanni
AU  - Tronchin, Giulia
AU  - Sato, João
AU  - Marcelis, Machteld
AU  - Kempton, Matthew
AU  - van Haren, Neeltje E M
AU  - Gruber, Oliver
AU  - McGorry, Patrick
AU  - Amminger, Paul
AU  - McGuire, Philip
AU  - Gong, Qiyong
AU  - Kahn, René S
AU  - Ayesa-Arriola, Rosa
AU  - van Amelsvoort, Therese
AU  - Ortiz-García de la Foz, Victor
AU  - Calhoun, Vince
AU  - Cahn, Wiepke
AU  - Mechelli, Andrea
PY  - 2020
DO  - 10.1016/j.neuroimage.2020.117127
UR  - http://hdl.handle.net/10668/15889
T2  - NeuroImage
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...
LA  - en
KW  - Adolescent
KW  - Adult
KW  - Aged
KW  - Brain
KW  - Female
KW  - Humans
KW  - Image Processing, Computer-Assisted
KW  - Machine Learning
KW  - Magnetic Resonance Imaging
KW  - Male
KW  - Middle Aged
KW  - Neuroimaging
KW  - Software
KW  - Young Adult
TI  - Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners.
TY  - research article
VL  - 220
ER  -