A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data
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| Title: | A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data |
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| Authors: | Wu, Guo-Rong1,2, Liao, Wei3, Stramaglia, Sebastiano4, Ding, Ju-Rong2,5, Chen, Huafu2, Marinazzo, Daniele1 daniele.marinazzo@ugent.be |
| Source: | Medical Image Analysis. Apr2013, Vol. 17 Issue 3, p365-374. 10p. |
| Database: | Academic Search Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 86372562 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=86372562 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.media.2013.01.003 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 365 Titles: – TitleFull: A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wu, Guo-Rong – PersonEntity: Name: NameFull: Liao, Wei – PersonEntity: Name: NameFull: Stramaglia, Sebastiano – PersonEntity: Name: NameFull: Ding, Ju-Rong – PersonEntity: Name: NameFull: Chen, Huafu – PersonEntity: Name: NameFull: Marinazzo, Daniele IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 13618415 Numbering: – Type: volume Value: 17 – Type: issue Value: 3 Titles: – TitleFull: Medical Image Analysis Type: main |
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