Image Annotation Ontologies

Image Annotation Ontology is a formal knowledge representation framework that systematically defines and categorizes the semantic relationships, attributes, and hierarchical structures underlying image annotations to enable consistent, machine-interpretable interpretation and management of image data.

38

Publications

2K

Citations

127

Authors

72

Institutions

Publications per year

2017–2026

2

Variants

Image Annotation Ontology

Authors

127

  1. DL
    Daniel L. Rubin

    Stanford University, United States

    5 publications · 135 citations

    5

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  2. LF
    Li Fei-Fei

    Stanford University, United States

    3 publications · 542 citations

    3

    h-index

  3. JD
    Jia Deng

    University of Michigan, United States

    3 publications · 260 citations

    3

    h-index

  4. JW
    Jan Wielemaker

    Vrije Universiteit Amsterdam, Netherlands

    2 publications · 465 citations

    2

    h-index

  5. HB
    Hakan Bulu

    Dokuz Eylül University, Türkiye

    2 publications · 28 citations

    2

    h-index

1–5 of 127

Venues

  1. Journal of Biomedical Semantics

    JBMS · 2 publications · 31 citations

    2

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  2. Frontiers in Neuroinformatics

    1 publications · 26 citations

    1

    h-index

  3. ePrints Soton (University of Southampton)

    Repository · 1 publications · 13 citations

    1

    h-index

  4. Journal of Biomedical Informatics

    1 publications · 26 citations

    1

    h-index

  5. Radiographics

    1 publications · 12 citations

    1

    h-index

1–5