Automated Volume Analysis

Automated Volume Analysis is a computational methodology within three-dimensional ultrasonography that enables the systematic, algorithm-driven quantification of anatomical structures by extracting and measuring volumetric data from ultrasound images with minimal manual intervention.

162

Publications

8.5K

Citations

963

Authors

371

Institutions

Publications per year

2017–2026

56

Authors

963

  1. EL
    Erik L. Ritman

    Mayo Clinic, United States

    3 publications · 94 citations

    3

    h-index

  2. MF
    Michael F. McNitt‐Gray

    University of California, Los Angeles, United States

    3 publications · 58 citations

    3

    h-index

  3. AO
    Aytekin Oto

    University of Chicago, United States

    2 publications · 179 citations

    2

    h-index

  4. AJ
    Andrew J. Buckler

    Elucid Bioimaging, United States

    2 publications · 38 citations

    2

    h-index

  5. MG
    Meghan G. Lubner

    University of Wisconsin–Madison, United States

    2 publications · 42 citations

    2

    h-index

1–5 of 963

Venues

  1. IEEE Transactions on Medical Imaging

    8 publications · 1.7K citations

    8

    h-index

  2. Medical Physics

    6 publications · 258 citations

    6

    h-index

  3. American Journal of Roentgenology

    AJR · 5 publications · 257 citations

    5

    h-index

  4. 4

    h-index

  5. European Journal of Radiology

    EJR · 4 publications · 233 citations

    4

    h-index

1–5