Probabilistic Atlases

Probabilistic Atlases is a neuroimaging reference framework that, as a genus, belongs to standardized brain mapping templates and, as a differentia, represents anatomical variability across individuals through spatial probability distributions rather than fixed anatomical labels.

164

Publications

30.2K

Citations

795

Authors

372

Institutions

Publications per year

2017–2026

41

Variants

Probabilistic Brain Atlases

Authors

795

  1. PM
    Paul M. Thompson

    University of California, Los Angeles, United States

    14 publications · 4.6K citations

    14

    h-index

  2. AW
    Arthur W. Toga

    University of California, Los Angeles, United States

    11 publications · 4.2K citations

    11

    h-index

  3. KZ
    Karl Zilles

    Heinrich Heine University Düsseldorf, Germany

    8 publications · 8.2K citations

    8

    h-index

  4. KA
    Katrin Amunts

    Heinrich Heine University Düsseldorf, Germany

    8 publications · 8.2K citations

    8

    h-index

  5. KV
    Koen Van Leemput

    Harvard University, United States

    8 publications · 2K citations

    8

    h-index

1–5 of 795

Venues

  1. NeuroImage

    31 publications · 13.7K citations

    27

    h-index

  2. Lecture notes in computer science

    LNCS · Book series · 8 publications · 320 citations

    8

    h-index

  3. PLoS ONE

    7 publications · 303 citations

    7

    h-index

  4. Medical Image Analysis

    7 publications · 1.4K citations

    7

    h-index

  5. Human Brain Mapping

    6 publications · 2K citations

    6

    h-index

1–5