Image Workflow Optimization

Image Workflow Optimization is a methodological framework within imaging data management that systematically enhances the efficiency, accuracy, and reproducibility of image acquisition, processing, storage, and analysis workflows by integrating automated decision points, resource allocation strategies, and performance metrics tailored to domain-specific imaging pipelines.

3

Publications

228

Citations

19

Authors

9

Institutions

Publications per year

2017–2026

2

Authors

19

  1. RM
    Roberto M. Lang

    University of Chicago, United States

    1 publications · 25 citations

    1

    h-index

  2. MF
    Michela Fratini

    Sapienza University of Rome, Italy

    1 publications · 154 citations

    1

    h-index

  3. GK
    Gustav K. von Schulthess

    University Hospital of Zurich, Switzerland

    1 publications · 49 citations

    1

    h-index

  4. AA
    Agostino Accardo

    University of Trieste, Italy

    1 publications · 154 citations

    1

    h-index

  5. AB
    Alexandra Blitz

    King's College Hospital, United Kingdom

    1 publications · 25 citations

    1

    h-index

1–5 of 19

Venues

  1. Advanced Structural and Chemical Imaging

    1 publications · 154 citations

    1

    h-index

  2. Journal of the American Society of Echocardiography

    JASE · 1 publications · 25 citations

    1

    h-index

  3. Journal of Nuclear Medicine

    1 publications · 49 citations

    1

    h-index

1–3