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3D CNN Design for the Classification of Alzheimer’s Disease Using Brain MRI and PET

IEEE Access(2020)10.1109/access.2020.3040486Source: DataRank Database

3D CNN Design for the Classification of Alzheimer’s Disease Using Brain MRI and PET is a research paper published in IEEE Access (2020). On theSindex it has a DataRank of 0. It has been cited 102 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access102 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 3.97)OA: goldTopics (20)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Goo-Rak Kwon,Bijen Khagi ORCID

Live enrichment

PubMed:23304386 OpenAlex:https://openalex.org/W3106819668

Korean Government

Grant: NRF-2019R1A4A1029769

Korean Government

Grant: NRF-2019R1F1A1060166

Canadian Institutes of Health Research

Grant: unidentified

unidentified

National Institutes of Health

Grant: 1U01AG024904-01

Alzheimers Disease Neuroimaging Initiative

FWCI

3.97

Citation Percentile

0.9%

Citation Trend

2021

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://ieeexplore.ieee.org/ielx7/6287639/6514899/09269972.pdf

publisherhttps://ieeexplore.ieee.org/ielx7/6287639/6514899/09269972.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/6287639/8948470/09269972.pdf?arnumber=9269972

journalhttps://doi.org/10.1109/access.2020.3040486

repositoryhttps://doaj.org/article/7ece7ad116e64b0d8191d46165f55733

Fields of Study

Brain Tumor Detection and ClassificationMedical Imaging and AnalysisAdvanced Neural Network Applications03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Computer scienceConvolutional neural networkArtificial intelligencePattern recognition (psychology)Deep learningFeature extractionFeature selectionFeature (linguistics)Redundancy (engineering)Kernel (algebra)Contextual image classificationMachine learningImage (mathematics)