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Multiscale convolution-attention model for efficient Alzheimer’s disease and mild cognitive impairment diagnosis approach using sMRI

Applied Soft Computing(2025)10.1016/j.asoc.2025.113693Source: DataRank Database

Multiscale convolution-attention model for efficient Alzheimer’s disease and mild cognitive impairment diagnosis approach using sMRI is a research paper published in Applied Soft Computing (2025). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.00)OA: closedTopics (12)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Junhyung Kim ORCID,Goo‐Rak Kwon ORCID,Uttam Khatri ORCID

Live enrichment

PubMed:20819859 OpenAlex:https://openalex.org/W4412983742

Ministry of Science and ICT, South Korea

Grant: NRF-2021R1I1A3050703

Ministry of Education

Grant: 4299990114316

National Institutes of Health

Grant: U01 AG024904

FWCI

0.00

Citation Percentile

0.2%

closedLicense: https://doi.org/10.15223/policy-004

publisherhttps://api.elsevier.com/content/article/PII:S156849462501004X?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S156849462501004X?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.asoc.2025.113693

Fields of Study

Brain Tumor Detection and ClassificationFunctional Brain Connectivity StudiesDementia and Cognitive Impairment Research

Keywords

Cognitive impairmentComputer scienceConvolution (computer science)CognitionArtificial intelligenceMachine learningMedicineArtificial neural networkPsychiatry