Deep learning analysis of fMRI data for predicting Alzheimer's Disease: A focus on convolutional neural networks and model interpretability.
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| Title: | Deep learning analysis of fMRI data for predicting Alzheimer's Disease: A focus on convolutional neural networks and model interpretability. |
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| Authors: | Zhou, Xiao1 (AUTHOR), Kedia, Sanchita2 (AUTHOR), Meng, Ran1 (AUTHOR), Gerstein, Mark1,2,3,4,5 (AUTHOR) mark@gersteinlab.org |
| Source: | PLoS ONE. 12/4/2024, Vol. 19 Issue 12, p1-20. 20p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 181417595 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0312848 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1 Titles: – TitleFull: Deep learning analysis of fMRI data for predicting Alzheimer's Disease: A focus on convolutional neural networks and model interpretability. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhou, Xiao – PersonEntity: Name: NameFull: Kedia, Sanchita – PersonEntity: Name: NameFull: Meng, Ran – PersonEntity: Name: NameFull: Gerstein, Mark IsPartOfRelationships: – BibEntity: Dates: – D: 04 M: 12 Text: 12/4/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 19 – Type: issue Value: 12 Titles: – TitleFull: PLoS ONE Type: main |
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