Registration Metrics

Registration Metrics is a quantitative framework used to evaluate the similarity or dissimilarity between images in the process of image registration, distinguished by its specific mathematical formulation designed to guide the alignment of spatial correspondences across multimodal or temporal image data.

229

Publications

19.6K

Citations

708

Authors

311

Institutions

Publications per year

2017–2026

53

Authors

708

  1. JC
    James C. Gee

    University of Pennsylvania, United States

    6 publications · 6.1K citations

    6

    h-index

  2. JP
    Josien P. W. Pluim

    University Medical Center Utrecht, Netherlands

    5 publications · 307 citations

    5

    h-index

  3. DJ
    David J. Hawkes

    University College London, United Kingdom

    5 publications · 307 citations

    5

    h-index

  4. DL
    D. Louis Collins

    Montreal Neurological Institute and Hospital, Canada

    5 publications · 459 citations

    5

    h-index

  5. SK
    Stefan Klein

    Erasmus MC, Netherlands

    4 publications · 182 citations

    4

    h-index

1–5 of 708

Venues

  1. IEEE Transactions on Medical Imaging

    14 publications · 1.9K citations

    13

    h-index

  2. Lecture notes in computer science

    LNCS · Book series · 14 publications · 789 citations

    11

    h-index

  3. Medical Image Analysis

    10 publications · 905 citations

    10

    h-index

  4. Physics in Medicine and Biology

    10 publications · 381 citations

    10

    h-index

  5. 10

    h-index

1–5