Computer-aided Landmark Detection

Computer-Aided Landmark Detection is an automated computational method that identifies anatomical landmarks in medical images by integrating algorithmic analysis with anatomical knowledge to enhance precision and efficiency in morphological assessment.

202

Publications

9.5K

Citations

923

Authors

388

Institutions

Publications per year

2017–2026

83

Authors

923

  1. DS
    Dinggang Shen

    University of North Carolina at Chapel Hill, United States

    5 publications · 378 citations

    5

    h-index

  2. JJ
    James J. Xia

    Houston Methodist, United States

    4 publications · 190 citations

    4

    h-index

  3. DC
    Dorin Comaniciu

    Siemens (United States), United States

    4 publications · 308 citations

    4

    h-index

  4. HK
    H. K. Sardana

    Academy of Scientific and Innovative Research, India

    4 publications · 242 citations

    4

    h-index

  5. BG
    Bogdan Georgescu

    Siemens (United States), United States

    3 publications · 169 citations

    3

    h-index

1–5 of 923

Venues

  1. IEEE Transactions on Medical Imaging

    9 publications · 1.2K citations

    9

    h-index

  2. Medical Image Analysis

    8 publications · 852 citations

    8

    h-index

  3. 8

    h-index

  4. Lecture notes in computer science

    LNCS · Book series · 7 publications · 312 citations

    7

    h-index

  5. 6

    h-index

1–5