Intensity-based Registration

Intensity-Based Registration is a class of image registration methods that aligns images by optimizing similarity measures derived directly from pixel or voxel intensity values, distinguishing it from feature-based or model-based approaches that rely on extracted anatomical or structural landmarks.

393

Publications

30.7K

Citations

1.4K

Authors

504

Institutions

Publications per year

2017–2026

65

Authors

1.4K

  1. TR
    Torsten Rohlfing

    Stanford University, United States

    14 publications · 1.5K citations

    14

    h-index

  2. CR
    Calvin R. Maurer

    Stanford University, United States

    14 publications · 1.4K citations

    13

    h-index

  3. DJ
    David J. Hawkes

    University College London, United Kingdom

    9 publications · 457 citations

    9

    h-index

  4. NA
    Nicholas Ayache

    Institut national de recherche en sciences et technologies du numérique, France

    9 publications · 755 citations

    9

    h-index

  5. BM
    Benoît M. Dawant

    Vanderbilt University, United States

    7 publications · 566 citations

    7

    h-index

1–5 of 1.4K

Venues

  1. IEEE Transactions on Medical Imaging

    41 publications · 9.2K citations

    31

    h-index

  2. Medical Physics

    27 publications · 1.9K citations

    19

    h-index

  3. Physics in Medicine and Biology

    21 publications · 755 citations

    16

    h-index

  4. 16

    h-index

  5. Medical Image Analysis

    12 publications · 709 citations

    12

    h-index

1–5