Automated Biometry

Automated Biometry is a computational method in fetal ultrasound imaging that enables the systematic and quantitative measurement of fetal anatomical structures without manual intervention, distinguishing itself through algorithmic precision and reproducibility in clinical assessment.

35

Publications

1.6K

Citations

160

Authors

104

Institutions

Publications per year

2017–2026

13

Authors

160

  1. WL
    Wesley Lee

    Baylor College of Medicine, United States

    3 publications · 91 citations

    3

    h-index

  2. AG
    Adrian Glasser

    University of Houston, United States

    2 publications · 61 citations

    2

    h-index

  3. VR
    V. Ramasubramanian

    Tata Institute of Fundamental Research, India

    2 publications · 61 citations

    2

    h-index

  4. BK
    Bukweon Kim

    Yonsei University, South Korea

    2 publications · 124 citations

    2

    h-index

  5. JE
    Jimmy Espinoza

    Wayne State University, United States

    2 publications · 73 citations

    2

    h-index

1–5 of 160

Venues

  1. Journal of Cataract & Refractive Surgery

    7 publications · 216 citations

    7

    h-index

  2. Journal of Ultrasound in Medicine

    JUM · 4 publications · 103 citations

    4

    h-index

  3. Scientific Reports

    2 publications · 92 citations

    2

    h-index

  4. Ultrasound in Medicine & Biology

    2 publications · 145 citations

    2

    h-index

  5. Journal of Medical Engineering & Technology

    1 publications · 19 citations

    1

    h-index

1–5