Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Leveraging Swin Transformer for Enhanced Diagnosis of Alzheimer’s Disease Using Multi-Shell Diffusion MRI

IEEE Transactions on Biomedical Engineering(2025)10.1109/tbme.2025.3636745Source: DataRank Database

Leveraging Swin Transformer for Enhanced Diagnosis of Alzheimer’s Disease Using Multi-Shell Diffusion MRI is a research paper published in IEEE Transactions on Biomedical Engineering (2025). On theSindex it has a DataRank of 0. It has been cited 4 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access4 citations

Download PDF

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: hybridTopics (20)IDs (PubMed)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (5)

Nicolas Delinte ORCID,Bernard Hanseeuw ORCID,Laurence Dricot ORCID,Benoı̂t Macq ORCID,Quentin Dessain ORCID

Live enrichment

PubMed:41284461

Fonds de la Recherche Scientifique de Belgique

Grant: 2.5020.11

National Institutes of Health

Grant: U01 AG024904

National Institutes of Health

Grant: 1U01AG024904-01

Alzheimers Disease Neuroimaging Initiative

hybridLicense: CC BY

publisherhttp://xplorestaging.ieee.org/ielx8/10/11585730/11267073.pdf?arnumber=11267073

https://doi.org/10.1109/tbme.2025.3636745

https://dx.doi.org/10.48550/arxiv.2507.09996

https://pubmed.ncbi.nlm.nih.gov/41284461

https://pubmed.ncbi.nlm.nih.gov/40709302

Fields of Study

0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

MeSH Terms

BrainHumansAlzheimer DiseaseImage Interpretation, Computer-AssistedDiffusion Magnetic Resonance ImagingAgedFemaleMaleCognitive DysfunctionDeep Learning

Keywords

FOS: Computer and information sciencesNeurons and CognitionComputer Vision and Pattern Recognition (cs.CV)FOS: Biological sciencesNeurons and Cognition (q-bio.NC)Computer Vision and Pattern RecognitionQuantitative MethodsQuantitative Methods (q-bio.QM)