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Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach.

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Title: Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach.
Authors: Liang, Shuai1,2, sliang@indocresearch.org, Beaton, Derek1, Arnott, Stephen R.1, Gee, Tom2, Zamyadi, Mojdeh1, Bartha, Robert3, Symons, Sean4, MacQueen, Glenda M.5, Hassel, Stefanie5, Lerch, Jason P.6,7, Anagnostou, Evdokia8,9, Lam, Raymond W.10, Frey, Benicio N.11,12, Milev, Roumen13, Müller, Daniel J.14,15, Kennedy, Sidney H.15,16,17,18, Scott, Christopher J. M.19,20,21, Strother, Stephen C.1,22, Troyer, Angela, Lang, Anthony E.
Source: Frontiers in Neuroinformatics; 11/17/2021, Vol. 15, p1-10, 10p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 153674981
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Frontiers+in+Neuroinformatics%22">Frontiers in Neuroinformatics</searchLink>; 11/17/2021, Vol. 15, p1-10, 10p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=153674981
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        Value: 10.3389/fninf.2021.622951
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        Text: English
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              Text: 11/17/2021
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              Y: 2021
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