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Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement

arXiv (Cornell University)(2024)10.48550/arxiv.2409.07862Source: DataRank Database

Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement is a research paper published in arXiv (Cornell University) (2024). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: greenTopics (25)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 (6)

Peijie Qiu ORCID,Wenhui Zhu ORCID,Yujian Xiong,Oana Dumitrașcu ORCID,Yalin Wang ORCID

Live enrichment

PubMed:30945415 OpenAlex:https://openalex.org/W4403663359

National Institutes of Health

Grant: 5R01DE030286-02

Early joint cranial and brain development from fetal and pediatric imaging

National Institutes of Health

Grant: 5R01EY032125-02

Hierarchical Bayesian Analysis of Retinotopic Maps of the Human Visual Cortex with Conformal Geometry

greenLicense: cc-by-nc-sa

repositoryhttps://arxiv.org/pdf/2409.07862

repositoryhttp://arxiv.org/abs/2409.07862

repositoryhttps://doi.org/10.48550/arxiv.2409.07862

https://doi.org/10.1109/wacv61041.2025.00395

https://dx.doi.org/10.48550/arxiv.2409.07862

Fields of Study

Retinal Imaging and AnalysisGaze Tracking and Assistive TechnologyEEG and Brain-Computer InterfacesImage and Video Processing (eess.IV)Computer Vision and Pattern Recognition (cs.CV)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciences0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Fundus (uterus)Context (archaeology)RetinalComputer scienceOptometryOphthalmologyArtificial intelligenceMedicineGeologyFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionFOS: Electrical engineering, electronic engineering, information engineeringElectrical Engineering and Systems Science - Image and Video ProcessingArticle