Probabilistic Registration

Probabilistic Registration is a sensor registration method that models alignment uncertainties using probability distributions to distinguish itself from deterministic approaches by explicitly accounting for statistical errors in spatial or temporal correspondence.

62

Publications

3.1K

Citations

190

Authors

101

Institutions

Publications per year

2017–2026

23

Authors

190

  1. MQ
    Max Q.‐H. Meng

    Chinese University of Hong Kong, Hong Kong SAR China

    5 publications · 190 citations

    5

    h-index

  2. ZM
    Zhe Min

    Chinese University of Hong Kong, Hong Kong SAR China

    5 publications · 190 citations

    5

    h-index

  3. IS
    Ivor Simpson

    University College London, United Kingdom

    5 publications · 171 citations

    5

    h-index

  4. JA
    Julia A. Schnabel

    University of Oxford, United Kingdom

    5 publications · 171 citations

    5

    h-index

  5. JW
    Jiaole Wang

    Harbin Institute of Technology, China

    5 publications · 190 citations

    5

    h-index

1–5 of 190

Venues

  1. Lecture notes in computer science

    LNCS · Book series · 5 publications · 80 citations

    5

    h-index

  2. 4

    h-index

  3. Neurocomputing

    3 publications · 136 citations

    3

    h-index

  4. 3

    h-index

  5. Medical Image Analysis

    3 publications · 561 citations

    3

    h-index

1–5