A multi-scanner neuroimaging data harmonization using RAVEL and ComBat
Modern neuroimaging studies frequently combine data collected from multiple scanners and experimental conditions. Such data often contain substantial technical variability associated with image intensity scale (image intensity scales are not the same in different images) and scanner effects (images...
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Auteurs principaux: | Mahbaneh Eshaghzadeh Torbati, Davneet S. Minhas, Ghasan Ahmad, Erin E. O’Connor, John Muschelli, Charles M. Laymon, Zixi Yang, Ann D. Cohen, Howard J. Aizenstein, William E. Klunk, Bradley T. Christian, Seong Jae Hwang, Ciprian M. Crainiceanu, Dana L. Tudorascu |
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Format: | article |
Langue: | EN |
Publié: |
Elsevier
2021
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Sujets: | |
Accès en ligne: | https://doaj.org/article/186c8ae68de040a5866157a2a3e971a1 |
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