Imaging Data Validation

Imaging Data Validation is a scholarly methodological process that ensures the accuracy, integrity, and compliance of imaging data with established standards by systematically verifying its technical quality, metadata completeness, and conformance to domain-specific protocols.

48

Publications

3.6K

Citations

584

Authors

241

Institutions

Publications per year

2017–2026

24

Authors

584

  1. RE
    Raquel E. Gur

    University of Pennsylvania, United States

    2 publications · 42 citations

    2

    h-index

  2. DA
    Damien A. Fair

    Oregon Health & Science University, United States

    2 publications · 42 citations

    2

    h-index

  3. AA
    Azeez Adebimpe

    University of Pennsylvania, United States

    2 publications · 42 citations

    2

    h-index

  4. KM
    Kristin Murtha

    University of Pennsylvania, United States

    2 publications · 42 citations

    2

    h-index

  5. MP
    Michael P. Milham

    Child Mind Institute, United States

    2 publications · 42 citations

    2

    h-index

1–5 of 584

Venues

  1. PubMed

    Repository · 3 publications · 105 citations

    3

    h-index

  2. Toxicologic Pathology

    2 publications · 75 citations

    2

    h-index

  3. Frontiers in Neuroinformatics

    2 publications · 76 citations

    2

    h-index

  4. NeuroImage

    2 publications · 176 citations

    2

    h-index

  5. Neurophotonics

    1 publications · 66 citations

    1

    h-index

1–5