Convolution-superposition Algorithms

Convolution-Superposition Algorithms is a dose calculation method in radiation therapy that belongs to the class of model-based algorithms and is distinguished by its use of convolution integrals to model the energy deposition from primary photons and a separate superposition step to account for tissue heterogeneities in the patient anatomy.

106

Publications

5K

Citations

332

Authors

147

Institutions

Publications per year

2017–2026

9

Variants

Convolution-superposition Dose Calculation

Authors

332

  1. GO
    G Olivera

    University of Wisconsin–Madison, United States

    6 publications · 486 citations

    6

    h-index

  2. TM
    Todd McNutt

    Johns Hopkins University, United States

    6 publications · 422 citations

    6

    h-index

  3. PR
    Paul Reckwerdt

    University of Wisconsin–Madison, United States

    5 publications · 414 citations

    5

    h-index

  4. NR
    N. Reynaert

    Ghent University, Belgium

    4 publications · 364 citations

    4

    h-index

  5. CY
    C Yu

    University of Maryland, Baltimore, United States

    4 publications · 127 citations

    4

    h-index

1–5 of 332

Venues

  1. Medical Physics

    54 publications · 2.7K citations

    33

    h-index

  2. Physics in Medicine and Biology

    21 publications · 1.3K citations

    17

    h-index

  3. Journal of Applied Clinical Medical Physics

    JACMP · 10 publications · 404 citations

    10

    h-index

  4. Radiotherapy and Oncology

    5 publications · 211 citations

    5

    h-index

  5. Applied Radiation and Isotopes

    2 publications · 29 citations

    2

    h-index

1–5