Potential Clinical Applicability of Deep Learning in the Diagnosis of Major Depressive Disorder Using rs-fMRI: A Systematic Literature Review.
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| Title: | Potential Clinical Applicability of Deep Learning in the Diagnosis of Major Depressive Disorder Using rs-fMRI: A Systematic Literature Review. |
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| Authors: | Saeedi, Maryam1, Wei, Lan2, Edoho, Mercy1, Mooney, Catherine1,2, catherine.mooney@ucd.ie |
| Source: | Applied Sciences (2076-3417); Apr2026, Vol. 16 Issue 7, p3444, 43p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 192959787 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=aci&AN=192959787 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16073444 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 43 StartPage: 3444 Titles: – TitleFull: Potential Clinical Applicability of Deep Learning in the Diagnosis of Major Depressive Disorder Using rs-fMRI: A Systematic Literature Review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Saeedi, Maryam – PersonEntity: Name: NameFull: Wei, Lan – PersonEntity: Name: NameFull: Edoho, Mercy – PersonEntity: Name: NameFull: Mooney, Catherine IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 7 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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