3D Segmentation

3D Segmentation is a computational technique in 3D imaging that partitions a three-dimensional spatial domain into distinct, meaningful regions or objects based on localized intensity, texture, or anatomical characteristics to facilitate precise structure identification and analysis.

1.4K

Publications

88.5K

Citations

4.8K

Authors

1.5K

Institutions

Publications per year

2017–2026

447

Parents

Authors

4.8K

  1. NA
    Nicholas Ayache

    Institut national de recherche en sciences et technologies du numérique, France

    14 publications · 1.4K citations

    13

    h-index

  2. MS
    Milan Sonka

    University of Iowa, United States

    13 publications · 1.9K citations

    12

    h-index

  3. AF
    Aaron Fenster

    Western University, Canada

    14 publications · 462 citations

    12

    h-index

  4. JK
    Jayaram K. Udupa

    University of Pennsylvania, United States

    11 publications · 684 citations

    11

    h-index

  5. DS
    Dinggang Shen

    University of North Carolina at Chapel Hill, United States

    11 publications · 693 citations

    11

    h-index

1–5 of 4.8K

Venues

  1. IEEE Transactions on Medical Imaging

    45 publications · 7.5K citations

    40

    h-index

  2. Medical Image Analysis

    43 publications · 4.9K citations

    34

    h-index

  3. Lecture notes in computer science

    LNCS · Book series · 44 publications · 1.9K citations

    26

    h-index

  4. 24

    h-index

  5. Computerized Medical Imaging and Graphics

    CMIG · 25 publications · 1.4K citations

    21

    h-index

1–5