Semi-automatic Segmentation

Semi-Automatic Segmentation is a volume segmentation method that belongs to the class of interactive image analysis techniques, distinguished by its reliance on user-provided initializations or constraints to guide the segmentation process while automating subsequent region delineation.

642

Publications

28.1K

Citations

3.3K

Authors

1.1K

Institutions

Publications per year

2017–2026

254

Authors

3.3K

  1. AF
    Aaron Fenster

    Western University, Canada

    6 publications · 200 citations

    6

    h-index

  2. SO
    Sébastien Ourselin

    University College London, United Kingdom

    5 publications · 467 citations

    5

    h-index

  3. BC
    Benjamín Castañeda

    Pontificia Universidad Católica del Perú, Peru

    4 publications · 73 citations

    4

    h-index

  4. PD
    Prasun Dastidar

    Tampere University Hospital, Finland

    4 publications · 174 citations

    4

    h-index

  5. RB
    Ronald Boellaard

    Amsterdam UMC Location Vrije Universiteit Amsterdam, Netherlands

    4 publications · 103 citations

    4

    h-index

1–5 of 3.3K

Venues

  1. PLoS ONE

    29 publications · 1.2K citations

    20

    h-index

  2. 18

    h-index

  3. Scientific Reports

    17 publications · 621 citations

    14

    h-index

  4. Physics in Medicine and Biology

    15 publications · 577 citations

    13

    h-index

  5. IEEE Transactions on Medical Imaging

    12 publications · 773 citations

    12

    h-index

1–5