Noise Correlation Analysis

Noise Correlation Analysis is a methodological framework in signal processing and data validation that quantifies the statistical dependencies or covariance structures among noise components across multiple measurements or channels to distinguish spurious correlations from genuine signals.

211

Publications

10.5K

Citations

632

Authors

335

Institutions

Publications per year

2017–2026

43

Authors

632

  1. MC
    Michel Campillo

    Université Joseph Fourier, France

    4 publications · 352 citations

    4

    h-index

  2. BK
    Boris Keil

    Athinoula A. Martinos Center for Biomedical Imaging, United States

    3 publications · 66 citations

    3

    h-index

  3. JH
    Jeffrey H. Siewerdsen

    Johns Hopkins University, United States

    3 publications · 262 citations

    3

    h-index

  4. AF
    Andreas Fichtner

    ETH Zurich, Switzerland

    3 publications · 131 citations

    3

    h-index

  5. VC
    Victor C. Tsai

    California Institute of Technology, United States

    3 publications · 142 citations

    3

    h-index

1–5 of 632

Venues

  1. Magnetic Resonance in Medicine

    MRM · 14 publications · 1.1K citations

    14

    h-index

  2. The Journal of the Acoustical Society of America

    JASA · 11 publications · 442 citations

    11

    h-index

  3. Medical Physics

    7 publications · 392 citations

    7

    h-index

  4. Geophysical Journal International

    GJI · 7 publications · 435 citations

    7

    h-index

  5. IEEE Transactions on Signal Processing

    6 publications · 171 citations

    6

    h-index

1–5