Editorial: Machine learning methods for human brain imaging

dc.contributor.author	Vural, Fatos Tunay Yarman
dc.contributor.author	Newman, Sharlene D.
dc.contributor.author	cukur, Tolga
dc.contributor.author	Ertugrul, Itir Onal
dc.contributor.other	Middle East Technical University
dc.contributor.other	University of Alabama Tuscaloosa
dc.contributor.other	Ihsan Dogramaci Bilkent University
dc.contributor.other	Utrecht University
dc.date.accessioned	2023-09-29T12:44:56Z
dc.date.available	2023-09-29T12:44:56Z
dc.date.issued	2023
dc.format.medium	electronic
dc.format.mimetype	application/pdf
dc.identifier.citation	Yarman Vural, F. T., Newman, S. D., Çukur, T., & Önal Ertugrul, I. (2023). Editorial: Machine learning methods for human brain imaging. In Frontiers in Neuroinformatics (Vol. 17). Frontiers Media SA. https://doi.org/10.3389/fninf.2023.1154835
dc.identifier.doi	10.3389/fninf.2023.1154835
dc.identifier.orcid	https://orcid.org/0000-0002-2296-851X
dc.identifier.uri	https://ir.ua.edu/handle/123456789/12352
dc.language	English
dc.language.iso	en_US
dc.publisher	Frontiers
dc.rights.license	Attribution 4.0 International (CC BY 4.0)
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	machine learning
dc.subject	deep learning
dc.subject	artificial intelligence
dc.subject	imaging
dc.subject	MRI
dc.subject	Mathematical & Computational Biology
dc.subject	Neurosciences
dc.title	Editorial: Machine learning methods for human brain imaging	en_US
dc.type	Editorial Material
dc.type	text