Normalized Cross-correlation

Normalized Cross-Correlation is a similarity metric used in template matching and volume registration that quantifies the degree of linear association between a template and a target region by normalizing their cross-correlation with respect to their respective magnitudes, thereby enabling robust comparison under varying intensities.

631

Publications

37K

Citations

2K

Authors

736

Institutions

Publications per year

2017–2026

167

Authors

2K

  1. GE
    Gregg E. Trahey

    Duke University, United States

    7 publications · 1.4K citations

    7

    h-index

  2. TW
    Tonghe Wang

    Emory University, United States

    6 publications · 165 citations

    6

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  3. YL
    Yang Lei

    Emory University, United States

    6 publications · 165 citations

    6

    h-index

  4. XY
    Xiaofeng Yang

    Emory University, United States

    5 publications · 115 citations

    5

    h-index

  5. WJ
    Walter J. Curran

    Emory University, United States

    5 publications · 115 citations

    5

    h-index

1–5 of 2K

Venues

  1. 16

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  2. Medical Physics

    17 publications · 605 citations

    15

    h-index

  3. 12

    h-index

  4. The Journal of the Acoustical Society of America

    JASA · 13 publications · 512 citations

    12

    h-index

  5. 11

    h-index

1–5