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Domain Adaptation-Based deep learning model for forecasting and diagnosis of glaucoma disease

Biomedical Signal Processing and Control(2024)10.1016/j.bspc.2024.106061Source: DataRank Database

Domain Adaptation-Based deep learning model for forecasting and diagnosis of glaucoma disease is a research paper published in Biomedical Signal Processing and Control (2024). On theSindex it has a DataRank of 0. It has been cited 34 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access34 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (7 grants)OA: greenTopics (8)IDs (PubMed, PMC)

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 (3)

Hashem Abu Serhan ORCID,Siamak Yousefi ORCID,Yeganeh Madadi ORCID

Live enrichment

PubMed:38463435 PMC:PMC10922017

National Institutes of Health

Grant: EY031725

National Institutes of Health

Grant: EY033005

NEI NIH HHS

Grant: R01 EY033005

NEI NIH HHS

Grant: R21 EY031725

National Institutes of Health

Grant: 3R21EY031725-02S1

Improved Glaucoma Monitoring Using Artificial-Intelligence Enabled Dashboard

National Institutes of Health

Grant: 5R01EY033005-04

Predicting the risk of glaucoma from structural, functional, and genetic factors using artificial intelligence

Research to Prevent Blindness

greenLicense: CC BY

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10922017/pdf/nihms-1969479.pdf

publisherhttps://api.elsevier.com/content/article/PII:S1746809424001198?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1746809424001198?httpAccept=text/plain

https://doi.org/10.36227/techrxiv.21391551.v1

https://doi.org/10.36227/techrxiv.21391551.v2

Fields of Study

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

Keywords

ForecastingDiagnosisglaucomaDomain AdaptationDeep LearningLow-rank Representation