Automated Image Analysis

Automated Image Analysis is a computational methodology within image analysis that systematically extracts, interprets, and derives meaningful information from visual data with minimal human intervention by employing algorithmic and often machine learning-based techniques.

1.2K

Publications

89.3K

Citations

6K

Authors

1.8K

Institutions

Publications per year

2017–2026

422

Authors

6K

  1. RF
    Robert F. Murphy

    Carnegie Mellon University, United States

    6 publications · 306 citations

    6

    h-index

  2. OY
    Olli Yli‐Harja

    6 publications · 282 citations

    6

    h-index

  3. BA
    Bruce A. McDonald

    ETH Zurich, Switzerland

    4 publications · 376 citations

    4

    h-index

  4. MC
    Michael Cloke

    University of Nottingham, United Kingdom

    4 publications · 122 citations

    4

    h-index

  5. JS
    J. S. Ploem

    Leiden University, Netherlands

    4 publications · 96 citations

    4

    h-index

1–5 of 6K

Venues

  1. PLoS ONE

    41 publications · 2.7K citations

    25

    h-index

  2. Scientific Reports

    27 publications · 1.2K citations

    20

    h-index

  3. PubMed

    Repository · 36 publications · 1.1K citations

    18

    h-index

  4. IEEE Transactions on Medical Imaging

    15 publications · 1.6K citations

    14

    h-index

  5. Medical Physics

    14 publications · 884 citations

    14

    h-index

1–5