Editorial: machine learning methods for human brain imaging

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buir.contributor.authorÇukur, Tolga
buir.contributor.orcidÇukur, Tolga|0000-0002-2296-851X
dc.citation.epage1154835-2en_US
dc.citation.spage1154835-1
dc.citation.volumeNumber17
dc.contributor.authorVural, Y.
dc.contributor.authorTunay, F.
dc.contributor.authorNewman, S.D.
dc.contributor.authorÇukur, Tolga
dc.contributor.authorÖnal Ertuğrul, I.
dc.date.accessioned2024-03-14T07:01:17Z
dc.date.available2024-03-14T07:01:17Z
dc.date.issued2023-02-28
dc.departmentDepartment of Electrical and Electronics Engineering
dc.description.provenanceMade available in DSpace on 2024-03-14T07:01:17Z (GMT). No. of bitstreams: 1 Editorial_machine_learning_methods_for_human_brain_imaging.pdf: 95335 bytes, checksum: 47a0db383714a5b11f1ffba3c97c024e (MD5) Previous issue date: 2023-02-28en
dc.identifier.doi10.3389/fninf.2023.1154835
dc.identifier.eissn1662-5196
dc.identifier.urihttps://hdl.handle.net/11693/114718
dc.language.isoEnglish
dc.publisherFrontiers Research Foundation
dc.relation.isversionofhttps://dx.doi.org/10.3389/fninf.2023.1154835
dc.source.titleFrontiers in Neuroinformatics
dc.subjectMachine learning
dc.subjectDeep learning
dc.subjectArtificial intelligence
dc.subjectImaging
dc.subjectMRI
dc.titleEditorial: machine learning methods for human brain imaging
dc.typeEditorial

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