Atlas-based Reconstruction

Atlas-Based Reconstruction is a three-dimensional reconstruction method that employs a pre-existing anatomical or structural reference model, known as an atlas, to guide the alignment, segmentation, and interpretation of imaging data by leveraging prior knowledge of spatial and morphological organization.

112

Publications

7.2K

Citations

6.9K

Authors

548

Institutions

Publications per year

2017–2026

39

Authors

6.9K

  1. SG
    S. González de la Hoz

    University of Oklahoma, United States

    4 publications · 578 citations

    4

    h-index

  2. KO
    Kenichi Oishi

    Johns Hopkins University, United States

    4 publications · 1.1K citations

    4

    h-index

  3. RL
    R. Leitner

    Centre National de la Recherche Scientifique, France

    4 publications · 578 citations

    4

    h-index

  4. CB
    C. Böhm

    Stockholm University, Sweden

    4 publications · 578 citations

    4

    h-index

  5. SN
    S. Němeček

    European Organization for Nuclear Research, Switzerland

    4 publications · 578 citations

    4

    h-index

1–5 of 6.9K

Venues

  1. NeuroImage

    14 publications · 2.6K citations

    14

    h-index

  2. Medical Image Analysis

    10 publications · 810 citations

    10

    h-index

  3. Lecture notes in computer science

    LNCS · Book series · 4 publications · 71 citations

    4

    h-index

  4. Neuroinformatics

    3 publications · 92 citations

    3

    h-index

  5. Neuroradiology

    4 publications · 200 citations

    3

    h-index

1–5