Automated Image Quantification

Automated Image Quantification is a computational methodology in medical image analysis that enables the systematic and objective measurement of cardiac structural and functional parameters from imaging data without manual intervention.

594

Publications

31.4K

Citations

3.5K

Authors

1.1K

Institutions

Publications per year

2017–2026

253

Authors

3.5K

  1. SE
    Steffen E. Petersen

    William Harvey Research Institute, United Kingdom

    11 publications · 1.1K citations

    11

    h-index

  2. DD
    Damini Dey

    Cedars-Sinai Medical Center, United States

    11 publications · 664 citations

    11

    h-index

  3. PJ
    Piotr J. Slomka

    Cedars-Sinai Medical Center, United States

    10 publications · 708 citations

    10

    h-index

  4. DS
    Daniel S. Berman

    Cedars-Sinai Medical Center, United States

    9 publications · 596 citations

    10

    h-index

  5. DR
    Daniel Rueckert

    Imperial College London, United Kingdom

    9 publications · 1.7K citations

    9

    h-index

1–5 of 3.5K

Venues

  1. Journal of Cardiovascular Magnetic Resonance

    24 publications · 2.5K citations

    19

    h-index

  2. Scientific Reports

    19 publications · 792 citations

    16

    h-index

  3. Journal of Magnetic Resonance Imaging

    JMRI · 16 publications · 626 citations

    14

    h-index

  4. PubMed

    Repository · 18 publications · 705 citations

    14

    h-index

  5. Medical Physics

    14 publications · 523 citations

    13

    h-index

1–5