Pacs Performance Optimization

Pacs Performance Optimization is a methodological framework within medical imaging informatics that systematically enhances the efficiency, reliability, and scalability of Picture Archiving and Communication Systems through targeted improvements in data throughput, storage management, retrieval latency, and interoperability.

30

Publications

693

Citations

112

Authors

59

Institutions

Publications per year

2017–2026

0

Authors

112

  1. EL
    Eliot L. Siegel

    University of Maryland, Baltimore, United States

    3 publications · 97 citations

    3

    h-index

  2. DV
    David V. Beard

    University of North Carolina at Chapel Hill, United States

    2 publications · 47 citations

    2

    h-index

  3. DM
    Deniese M. Parrish

    University of North Carolina at Chapel Hill, United States

    2 publications · 47 citations

    2

    h-index

  4. KL
    Kyootai Lee

    University of Missouri–St. Louis, United States

    2 publications · 45 citations

    2

    h-index

  5. VR
    Vamsi R. Narra

    Mallinckrodt (United States), United States

    2 publications · 45 citations

    2

    h-index

1–5 of 112

Venues

  1. Journal of Digital Imaging

    13 publications · 351 citations

    12

    h-index

  2. 5

    h-index

  3. British Journal of Radiology

    BJR · 1 publications · 49 citations

    1

    h-index

  4. Radiology

    1 publications · 25 citations

    1

    h-index

  5. European Radiology

    1 publications · 13 citations

    1

    h-index

1–5