Automatic Segmentation

Automatic Segmentation is a computational method in volume image analysis that partitions three-dimensional data into distinct regions or structures without requiring manual user intervention, thereby distinguishing it from interactive or semi-automatic segmentation techniques.

5.1K

Publications

270.3K

Citations

19.8K

Authors

4.1K

Institutions

Publications per year

2017–2026

2.2K

Variants

Automated Segmentation

Authors

19.8K

  1. BV
    Bram van Ginneken

    Radboud University Nijmegen, Netherlands

    28 publications · 2.2K citations

    23

    h-index

  2. BM
    Benoît M. Dawant

    Vanderbilt University, United States

    21 publications · 1.4K citations

    19

    h-index

  3. MA
    Max A. Viergever

    University Medical Center Utrecht, Netherlands

    25 publications · 2.3K citations

    19

    h-index

  4. DS
    Dinggang Shen

    University of North Carolina at Chapel Hill, United States

    21 publications · 1.9K citations

    18

    h-index

  5. DR
    Daniel Rueckert

    Imperial College London, United Kingdom

    23 publications · 3.2K citations

    17

    h-index

1–5 of 19.8K

Venues

  1. IEEE Transactions on Medical Imaging

    127 publications · 25.1K citations

    75

    h-index

  2. Medical Physics

    135 publications · 8.4K citations

    52

    h-index

  3. Medical Image Analysis

    55 publications · 5.2K citations

    41

    h-index

  4. Scientific Reports

    73 publications · 4.7K citations

    41

    h-index

  5. NeuroImage

    50 publications · 7.6K citations

    40

    h-index

1–5