Statistical Shape Analysis

Statistical Shape Analysis is a formal methodology within shape analysis that employs statistical inference to model and quantify geometric variability in shapes, distinguishing itself by its focus on probabilistic descriptions and population-level shape characteristics.

754

Publications

49.5K

Citations

2.5K

Authors

937

Institutions

Publications per year

2017–2026

236

Authors

2.5K

  1. TC
    T.F. Cootes

    University of Manchester, United Kingdom

    19 publications · 1.6K citations

    18

    h-index

  2. MS
    Martin Styner

    University of North Carolina at Chapel Hill, United States

    18 publications · 2.4K citations

    15

    h-index

  3. CT
    Chris Taylor

    University of Manchester, United Kingdom

    16 publications · 1.4K citations

    15

    h-index

  4. IL
    Ian L. Dryden

    University of Nottingham, United Kingdom

    17 publications · 755 citations

    13

    h-index

  5. KV
    Kanti V. Mardia

    University of Leeds, United Kingdom

    16 publications · 863 citations

    13

    h-index

1–5 of 2.5K

Venues

  1. IEEE Transactions on Medical Imaging

    38 publications · 5.6K citations

    30

    h-index

  2. Medical Image Analysis

    22 publications · 1.8K citations

    18

    h-index

  3. 17

    h-index

  4. Lecture notes in computer science

    LNCS · Book series · 20 publications · 576 citations

    15

    h-index

  5. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 14 publications · 4.2K citations

    14

    h-index

1–5