Multi-modal Reconstruction

Multi-Modal Reconstruction is a three-dimensional reconstruction method that integrates data from multiple imaging modalities to produce a more comprehensive and accurate spatial representation than achievable with a single modality alone.

69

Publications

2.4K

Citations

275

Authors

141

Institutions

Publications per year

2017–2026

49

Authors

275

  1. TM
    Tresa M. Pollock

    University of California, Santa Barbara, United States

    2 publications · 72 citations

    2

    h-index

  2. KB
    Kristian Bredies

    University of Graz, Austria

    2 publications · 174 citations

    2

    h-index

  3. LX
    Lei Xiang

    University of North Carolina at Chapel Hill, United States

    2 publications · 205 citations

    2

    h-index

  4. MC
    Marie‐Agathe Charpagne

    University of California, Santa Barbara, United States

    2 publications · 72 citations

    2

    h-index

  5. MH
    Martin Höller

    University of Graz, Austria

    2 publications · 174 citations

    2

    h-index

1–5 of 275

Venues

  1. IEEE Transactions on Medical Imaging

    2 publications · 173 citations

    4

    h-index

  2. Medical Image Analysis

    1 publications · 40 citations

    4

    h-index

  3. Optics Express

    3 publications · 133 citations

    3

    h-index

  4. Lecture notes in computer science

    LNCS · Book series · 3 publications · 161 citations

    3

    h-index

  5. 2

    h-index

1–5