Stone Composition Prediction

Stone Composition Prediction is a computational method that identifies the chemical makeup of urinary calculi non-invasively by analyzing imaging data to differentiate stone types based on their attenuation profiles and spectral characteristics.

87

Publications

4.2K

Citations

471

Authors

171

Institutions

Publications per year

2017–2026

25

Authors

471

  1. MD
    Michel Daudon

    Sorbonne Université, France

    5 publications · 113 citations

    5

    h-index

  2. GM
    Glenn M. Preminger

    Duke Medical Center, United States

    3 publications · 326 citations

    3

    h-index

  3. MM
    Manoj Monga

    University of Minnesota, United States

    3 publications · 71 citations

    3

    h-index

  4. GS
    Giovanni Scala Marchini

    Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Brazil

    3 publications · 71 citations

    3

    h-index

  5. OT
    Olivier Traxer

    Sorbonne Université, France

    3 publications · 52 citations

    3

    h-index

1–5 of 471

Venues

  1. Journal of Endourology

    13 publications · 315 citations

    13

    h-index

  2. Urology

    9 publications · 617 citations

    9

    h-index

  3. The Journal of Urology

    8 publications · 777 citations

    8

    h-index

  4. Radiology

    6 publications · 585 citations

    6

    h-index

  5. PubMed

    Repository · 3 publications · 69 citations

    3

    h-index

1–5