Motion Robust Optimization

Motion Robust Optimization is a computational framework in radiation therapy planning that belongs to the class of optimization methods designed under uncertainty, distinguished by its explicit incorporation of intra- and inter-fractional anatomical motion to ensure dose delivery accuracy and plan reliability despite physiological displacements.

24

Publications

1.2K

Citations

106

Authors

46

Institutions

Publications per year

2017–2026

9

Authors

106

  1. TC
    Timothy C. Y. Chan

    University of Toronto, Canada

    4 publications · 285 citations

    4

    h-index

  2. OC
    Oscar Casares-Magaz

    Aarhus University Hospital, Denmark

    3 publications · 59 citations

    3

    h-index

  3. JT
    J. Toftegaard

    Aarhus University Hospital, Denmark

    3 publications · 59 citations

    3

    h-index

  4. TB
    Thomas Bortfeld

    Massachusetts General Hospital, United States

    3 publications · 258 citations

    3

    h-index

  5. LM
    L.P. Muren

    Aarhus University Hospital, Denmark

    3 publications · 59 citations

    3

    h-index

1–5 of 106

Venues

  1. Medical Physics

    5 publications · 247 citations

    5

    h-index

  2. Acta Oncologica

    3 publications · 59 citations

    3

    h-index

  3. Physics in Medicine and Biology

    2 publications · 162 citations

    2

    h-index

  4. Medical dosimetry

    2 publications · 30 citations

    2

    h-index

  5. ISA Transactions

    1 publications · 21 citations

    1

    h-index

1–5