Registration Error Analysis

Registration Error Analysis is a systematic methodology within spatial registration that quantifies and evaluates the discrepancies between corresponding anatomical or spatial coordinates across imaging modalities or temporal instances to assess the accuracy and reliability of alignment in image-guided intervention visualization.

349

Publications

22.5K

Citations

1.4K

Authors

504

Institutions

Publications per year

2017–2026

75

Authors

1.4K

  1. JM
    J. Michael Fitzpatrick

    Vanderbilt University, United States

    21 publications · 3.6K citations

    17

    h-index

  2. CR
    Calvin R. Maurer

    Stanford University, United States

    14 publications · 2.9K citations

    14

    h-index

  3. JB
    Jay B. West

    Vanderbilt University, United States

    9 publications · 2.4K citations

    9

    h-index

  4. RJ
    Robert J. Maciunas

    Vanderbilt University, United States

    7 publications · 1.4K citations

    7

    h-index

  5. PA
    Purang Abolmaesumi

    University of British Columbia, Canada

    6 publications · 155 citations

    6

    h-index

1–5 of 1.4K

Venues

  1. Medical Physics

    27 publications · 936 citations

    19

    h-index

  2. Physics in Medicine and Biology

    25 publications · 1.4K citations

    19

    h-index

  3. IEEE Transactions on Medical Imaging

    21 publications · 3.1K citations

    18

    h-index

  4. 13

    h-index

  5. Computer Aided Surgery

    CAS · 12 publications · 388 citations

    11

    h-index

1–5