Imaging Data Harmonization

Imaging Data Harmonization is the systematic process of transforming and aligning imaging data acquired under different conditions, modalities, or sites to minimize non-biological variability while preserving biological relevance, thereby enabling valid cross-dataset integration and analysis.

86

Publications

5.9K

Citations

855

Authors

451

Institutions

Publications per year

2017–2026

80

Authors

855

  1. RT
    Russell T. Shinohara

    University of Pennsylvania, United States

    7 publications · 1.6K citations

    7

    h-index

  2. NJ
    Neda Jahanshad

    University of Southern California, United States

    5 publications · 182 citations

    5

    h-index

  3. RC
    Ruben C. Gur

    University of Pennsylvania, United States

    5 publications · 1.5K citations

    5

    h-index

  4. TD
    Theodore D. Satterthwaite

    University of Pennsylvania, United States

    5 publications · 1.5K citations

    5

    h-index

  5. RE
    Raquel E. Gur

    University of Pennsylvania, United States

    5 publications · 1.5K citations

    5

    h-index

1–5 of 855

Venues

  1. NeuroImage

    19 publications · 2.7K citations

    18

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 5 publications · 152 citations

    5

    h-index

  3. Human Brain Mapping

    5 publications · 215 citations

    5

    h-index

  4. Scientific Reports

    4 publications · 218 citations

    4

    h-index

  5. NeuroImage Clinical

    3 publications · 71 citations

    3

    h-index

1–5