activity
20182024
most citedMultivariate error modeling and uncertainty quantification using importance (re-)weighting for Monte Carlo simulations in particle transport

5 citations · 5 across the 1 of their papers we have counts for

collaborators

4 papers

physics.med-ph2024

Ionization detail parameters and cluster dose: A mathematical model for selection of nanodosimetric quantities for use in treatment planning in charged particle radiotherapy

Bruce Faddegon, Eleanor A. Blakely, Lucas Burigo +9

Objective: To propose a mathematical model for applying Ionization Detail (ID), the detailed spatial distribution of ionization along a particle track, to proton and ion beam radio…

physics.med-ph2022★ 5 cited

Multivariate error modeling and uncertainty quantification using importance (re-)weighting for Monte Carlo simulations in particle transport

Pia Stammer, Lucas Burigo, Oliver Jäkel +2

Fast and accurate predictions of uncertainties in the computed dose are crucial for the determination of robust treatment plans in radiation therapy. This requires the solution of…

physics.med-ph2021

Efficient uncertainty quantification for Monte Carlo dose calculations using importance (re-)weighting

Pia Stammer, Lucas Burigo, Oliver Jäkel +2

The high precision and conformity of intensity-modulated particle therapy (IMPT) comes at the cost of susceptibility to treatment uncertainties in particle range and patient set-up…

physics.med-ph2018

Impact of new ICRU90 key data on stopping-power ratios and beam quality correction factors for carbon ion beams

Lucas Burigo, Steffen Greilich

The recent update of dosimetric key data by the `International Commission on Radiation Units and Measurements' impacts the computation of beam quality correction factors via…