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A Convolutional Neural Network and Graph Convolutional Network Based Framework for AD Classification

Sensors(2023)10.3390/s23041914Source: DataRank Database

A Convolutional Neural Network and Graph Convolutional Network Based Framework for AD Classification is a research paper published in Sensors (2023). On theSindex it has a DataRank of 0. It has been cited 31 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access31 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)OA: goldTopics (21)IDs (PubMed, PMC)SDGs (1)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (7)

Min Xiong ORCID,Ge Zhang ORCID,Wenjie Kang ORCID,Shen Sun,Shuicai Wu ORCID

Live enrichment

PubMed:36850510 PMC:PMC9961367

National Natural Science Foundation of China

Grant: 81971683

National Natural Science Foundation of China

Grant: L182010

NIA NIH HHS

Grant: U01 AG024904

National Institutes of Health

Grant: 1U01AG024904-01

Alzheimers Disease Neuroimaging Initiative

Canadian Institutes of Health Research

Grant: unidentified

unidentified

goldLicense: CC BY

publisherhttps://www.mdpi.com/1424-8220/23/4/1914/pdf

Europe_PMChttps://europepmc.org/articles/PMC9961367

Europe_PMChttps://europepmc.org/articles/PMC9961367?pdf=render

https://doi.org/10.3390/s23041914

https://pubmed.ncbi.nlm.nih.gov/36850510

Fields of Study

02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

MeSH Terms

HumansAlzheimer DiseaseLearningNeuropsychological TestsCognitive DysfunctionNeural Networks, Computer

Keywords

Alzheimer’s diseaseNeuroimagingDeep LearningGraph Convolutional NetworksChemical technologyTP1-1185Neuropsychological TestsArticleAlzheimer DiseaseHumansLearningCognitive DysfunctionNeural Networks, Computer

Sustainable Development Goals

SDG 3: 3. Good health