Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal

Increasingly large MRI neuroimaging datasets are becoming available, including many highly multi-site multi-scanner datasets. Combining the data from the different scanners is vital for increased statistical power; however, this leads to an increase in variance due to nonbiological factors such as t...

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Detalhes bibliográficos
Main Authors: Nicola K. Dinsdale, Mark Jenkinson, Ana I.L. Namburete
Formato: Artigo
Idioma:English
Publicado em: Elsevier 2021-03-01
Colecção:NeuroImage
Assuntos:
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S1053811920311745