Brainstem Segmentation

Brainstem Segmentation is a computational image analysis method that identifies and delineates the brainstem region from neuroimaging data by classifying voxels or pixels according to anatomical boundaries, distinguishing it from general brain segmentation techniques through its specific focus on the morphologically complex and functionally critical brainstem structures.

43

Publications

2.3K

Citations

348

Authors

171

Institutions

Publications per year

2017–2026

21

Authors

348

  1. PD
    Priscille de Dumast

    University of Lausanne, Switzerland

    3 publications · 186 citations

    3

    h-index

  2. BM
    Benoît M. Dawant

    Vanderbilt University, United States

    3 publications · 304 citations

    3

    h-index

  3. AJ
    András Jakab

    Medical University of Vienna, Austria

    3 publications · 186 citations

    3

    h-index

  4. JD
    José Dolz

    École de Technologie Supérieure, Canada

    3 publications · 93 citations

    3

    h-index

  5. NR
    Nicolas Reyns

    Université de Lille, France

    3 publications · 93 citations

    3

    h-index

1–5 of 348

Venues

  1. NeuroImage

    3 publications · 390 citations

    3

    h-index

  2. 2

    h-index

  3. Human Brain Mapping

    2 publications · 61 citations

    2

    h-index

  4. NeuroImage Clinical

    2 publications · 84 citations

    2

    h-index

  5. 2

    h-index

1–5