Multimodal Registration

Multimodal Registration is a sensor registration method that aligns heterogeneous data from distinct sensing modalities by establishing correspondences between spatially or temporally correlated features across different sensor types.

396

Publications

28.8K

Citations

1.3K

Authors

514

Institutions

Publications per year

2017–2026

144

Authors

1.3K

  1. NN
    Nassir Navab

    Technical University of Munich, Germany

    8 publications · 433 citations

    8

    h-index

  2. AM
    Anant Madabhushi

    Case Western Reserve University, United States

    8 publications · 186 citations

    8

    h-index

  3. DS
    Dinggang Shen

    University of North Carolina at Chapel Hill, United States

    7 publications · 570 citations

    7

    h-index

  4. JC
    Jonathan Chappelow

    Rutgers, The State University of New Jersey, United States

    7 publications · 156 citations

    7

    h-index

  5. XC
    Xiaohuan Cao

    University of North Carolina at Chapel Hill, United States

    6 publications · 465 citations

    6

    h-index

1–5 of 1.3K

Venues

  1. Medical Image Analysis

    21 publications · 4.5K citations

    19

    h-index

  2. 15

    h-index

  3. 13

    h-index

  4. Lecture notes in computer science

    LNCS · Book series · 15 publications · 918 citations

    13

    h-index

  5. IEEE Transactions on Medical Imaging

    12 publications · 6.1K citations

    12

    h-index

1–5