Surface-based Morphometric Analysis

Surface-Based Morphometric Analysis is a computational method in three-dimensional cephalometric analysis that quantifies and compares anatomical shape variations by analyzing geometric properties across continuous biological surfaces, distinguished from other morphometric approaches through its reliance on surface mesh representations rather than discrete landmarks or volumetric data.

142

Publications

12.4K

Citations

883

Authors

390

Institutions

Publications per year

2017–2026

50

Authors

883

  1. PM
    Paul M. Thompson

    University of California, Los Angeles, United States

    5 publications · 1.6K citations

    5

    h-index

  2. SW
    Sang Won Seo

    Sungkyunkwan University, South Korea

    4 publications · 149 citations

    4

    h-index

  3. YW
    Yalin Wang

    Arizona State University, United States

    4 publications · 168 citations

    4

    h-index

  4. BF
    Bruce Fischl

    Massachusetts General Hospital, United States

    3 publications · 1.5K citations

    3

    h-index

  5. CG
    Christian Gaser

    Jena University Hospital, Germany

    3 publications · 1.5K citations

    3

    h-index

1–5 of 883

Venues

  1. PLoS ONE

    6 publications · 292 citations

    6

    h-index

  2. PubMed

    Repository · 3 publications · 127 citations

    3

    h-index

  3. Lecture notes in computer science

    LNCS · Book series · 3 publications · 89 citations

    3

    h-index

  4. NeuroImage

    3 publications · 827 citations

    3

    h-index

  5. Journal of Neuroscience

    3 publications · 679 citations

    3

    h-index

1–5