Tensor Field Smoothing

Tensor Field Smoothing is a computational method that reduces noise and enhances structural coherence in tensor fields by selectively attenuating high-frequency perturbations while preserving essential anisotropic features.

16

Publications

1K

Citations

34

Authors

20

Institutions

Publications per year

2017–2026

1

Variants

Tensor Field Denoising

Authors

34

  1. XP
    Xavier Pennec

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

    4 publications · 364 citations

    4

    h-index

  2. PF
    Pierre Fillard

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

    4 publications · 364 citations

    4

    h-index

  3. ZW
    Ziyang Wang

    University of Oxford, United Kingdom

    3 publications · 224 citations

    3

    h-index

  4. VA
    Vincent Arsigny

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

    3 publications · 331 citations

    3

    h-index

  5. BC
    Baba C. Vemuri

    University of Florida, United States

    3 publications · 224 citations

    3

    h-index

1–5 of 34

Venues

  1. IEEE Transactions on Medical Imaging

    2 publications · 426 citations

    2

    h-index

  2. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 2 publications · 30 citations

    2

    h-index

  3. Lecture notes in computer science

    LNCS · Book series · 1 publications · 34 citations

    1

    h-index

  4. Magnetic Resonance in Medicine

    MRM · 1 publications · 77 citations

    1

    h-index

  5. Signal Processing

    1 publications · 48 citations

    1

    h-index

1–5