Multimodal Imaging Data Integration

Multimodal Imaging Data Integration is a computational framework that synthesizes heterogeneous imaging data from multiple modalities into a unified representation to enable coherent analysis and interpretation across diverse anatomical, functional, or molecular scales.

159

Publications

15.1K

Citations

1.1K

Authors

444

Institutions

Publications per year

2017–2026

98

Authors

1.1K

  1. VD
    Vince D. Calhoun

    Mind Research Network, United States

    10 publications · 1.3K citations

    10

    h-index

  2. DS
    Dinggang Shen

    University of North Carolina at Chapel Hill, United States

    6 publications · 293 citations

    6

    h-index

  3. JS

    4

    h-index

  4. CP
    Casey Paquola

    Montreal Neurological Institute and Hospital, Canada

    3 publications · 237 citations

    3

    h-index

  5. SL
    Sofie L. Valk

    Max Planck Institute for Human Cognitive and Brain Sciences, Germany

    3 publications · 237 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. IEEE Transactions on Medical Imaging

    8 publications · 481 citations

    8

    h-index

  2. NeuroImage

    8 publications · 4.8K citations

    8

    h-index

  3. Analytical Chemistry

    5 publications · 201 citations

    5

    h-index

  4. Frontiers in Neuroinformatics

    4 publications · 217 citations

    4

    h-index

  5. 4

    h-index

1–5