Foreign Body Imaging Algorithms

Foreign Body Imaging Algorithms is a systematic computational methodology designed to detect, localize, and characterize foreign bodies within biological tissues using medical imaging data, distinguished from other imaging algorithms by its specific adaptation to the physical and anatomical challenges of identifying non-native objects in clinical radiological practice.

17

Publications

619

Citations

56

Authors

25

Institutions

Publications per year

2017–2026

3

Authors

56

  1. BT
    Busheng Tong

    Anhui Medical University, China

    1 publications · 17 citations

    1

    h-index

  2. XW
    Xiong Wang

    ShanghaiTech University, China

    1 publications · 20 citations

    1

    h-index

  3. MM
    Masza Mukamel

    Tel Aviv University, Israel

    1 publications · 21 citations

    1

    h-index

  4. RC
    Robert C. Russell

    Southern Illinois University School of Medicine, United States

    1 publications · 84 citations

    1

    h-index

  5. RH
    Robert Hill

    Imperial College London, United Kingdom

    1 publications · 101 citations

    1

    h-index

1–5 of 56

Venues

  1. Journal of Food Engineering

    2 publications · 63 citations

    2

    h-index

  2. Ultrasonics

    1 publications · 36 citations

    1

    h-index

  3. Annals of Emergency Medicine

    1 publications · 101 citations

    1

    h-index

  4. American Journal of Roentgenology

    AJR · 1 publications · 62 citations

    1

    h-index

  5. American Journal of Ophthalmology

    1 publications · 25 citations

    1

    h-index

1–5