Imaging Data Modeling

Imaging Data Modeling is a clinical data modeling methodology that specifically formalizes the structure, semantics, and relationships of medical imaging data to enable standardized representation, integration, and interpretation within clinical research and healthcare systems.

51

Publications

2.7K

Citations

285

Authors

168

Institutions

Publications per year

2017–2026

18

Authors

285

  1. EN
    Emanuele Neri

    University of Pisa, Italy

    2 publications · 43 citations

    2

    h-index

  2. JM
    Janaı́na Mourão-Miranda

    University College London, United Kingdom

    2 publications · 140 citations

    2

    h-index

  3. AR
    Anil Rao

    Imperial College London, United Kingdom

    2 publications · 140 citations

    2

    h-index

  4. JM
    João M. Monteiro

    University College London, United Kingdom

    2 publications · 140 citations

    2

    h-index

  5. HK
    Haridimos Kondylakis

    Foundation for Research and Technology Hellas, Greece

    2 publications · 47 citations

    2

    h-index

1–5 of 285

Venues

  1. NeuroImage

    2 publications · 274 citations

    2

    h-index

  2. Neurocomputing

    2 publications · 52 citations

    2

    h-index

  3. Lecture notes in computer science

    LNCS · Book series · 2 publications · 497 citations

    2

    h-index

  4. 2

    h-index

  5. Magnetic Resonance in Medicine

    MRM · 2 publications · 480 citations

    2

    h-index

1–5