Radiology Data Mining

Radiology Data Mining is a computational methodology within radiology informatics that systematically extracts, analyzes, and interprets patterns, correlations, and knowledge from large-scale radiological data sets through advanced algorithms and statistical techniques distinct from general data management or reporting functions in radiology information systems.

87

Publications

3.5K

Citations

319

Authors

183

Institutions

Publications per year

2017–2026

44

Authors

319

  1. ES
    Elizabeth S. Burnside

    University of Wisconsin–Madison, United States

    2 publications · 55 citations

    3

    h-index

  2. TS
    Tessa S. Cook

    University of Pennsylvania, United States

    3 publications · 84 citations

    3

    h-index

  3. MM
    M. Madheswaran

    Social Service Sericulture Project Trust, India

    3 publications · 57 citations

    3

    h-index

  4. KJ
    Keith J. Dreyer

    Massachusetts General Hospital, United States

    3 publications · 754 citations

    3

    h-index

  5. AE
    Ayman E. Khedr

    Helwan University, Egypt

    2 publications · 62 citations

    2

    h-index

1–5 of 319

Venues

  1. Journal of the American College of Radiology

    JACR · 11 publications · 1.2K citations

    11

    h-index

  2. Journal of Digital Imaging

    10 publications · 273 citations

    10

    h-index

  3. American Journal of Roentgenology

    AJR · 4 publications · 158 citations

    4

    h-index

  4. European Radiology

    3 publications · 142 citations

    3

    h-index

  5. Radiology Artificial Intelligence

    AI · 3 publications · 81 citations

    3

    h-index

1–5