Image-based Portion Estimation

Image-Based Portion Estimation is a method within the domain of dietary assessment that uses digital images of food as visual input to estimate the volume or quantity of a consumed portion by applying image analysis techniques to transform pixel data into measurable food dimensions.

71

Publications

3.3K

Citations

227

Authors

72

Institutions

Publications per year

2017–2026

35

Authors

227

  1. CJ
    Carol J. Boushey

    University of Hawaiʻi at Mānoa, United States

    17 publications · 1.2K citations

    16

    h-index

  2. EJ
    Edward J. Delp

    Purdue University West Lafayette, United States

    13 publications · 1K citations

    13

    h-index

  3. FZ
    Fengqing Zhu

    Purdue University West Lafayette, United States

    11 publications · 935 citations

    11

    h-index

  4. MS
    Mingui Sun

    University of Pittsburgh, United States

    11 publications · 482 citations

    11

    h-index

  5. WJ
    Wenyan Jia

    University of Pittsburgh, United States

    10 publications · 421 citations

    10

    h-index

1–5 of 227

Venues

  1. Public Health Nutrition

    PNH · 4 publications · 208 citations

    4

    h-index

  2. Nutrients

    3 publications · 203 citations

    3

    h-index

  3. PubMed

    Repository · 2 publications · 49 citations

    2

    h-index

  4. 2

    h-index

  5. Sensors

    2 publications · 53 citations

    2

    h-index

1–5