54 citations · 109 across the 8 of their papers we have counts for
9 papers
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…
BayesDose: Comprehensive proton dose prediction with model uncertainty using Bayesian LSTMs
Luke Voss, Ahmad Neishabouri, Tim Ortkamp +2
We propose the BayesDose-Framework, a Bayesian approach for fast and accurate dose prediction in proton therapy. Our framework is based on a previously published deterministic LSTM…
A novel inverse algorithm to solve IPO-IMPT of proton FLASH therapy with sparse filters
Nathan Harrison, Minglei Kang, Ruirui Liu +9
Purpose:The recently proposed IPO-IMPT framework allows simultaneous optimization of dose, dose rate, and LET for FLASH treatment planning. Finding solutions to IPO-IMPT is difficu…
Superiorization as a novel strategy for linearly constrained inverse radiotherapy treatment planning
Florian Barkmann, Yair Censor, Niklas Wahl
We apply the superiorization methodology to the intensity-modulated radiation therapy (IMRT) treatment planning problem. In superiorization, linear voxel dose inequality constraint…
An Integrated Biological Optimization framework for proton SBRT FLASH treatment planning allows dose, dose rate, and LET optimization using patient-specific ridge filters
Ruirui Liu, Serdar Charyyev, Niklas Wahl +10
Purpose: Patient-specific ridge filters can modulate proton energy to obtain a conformal dose. We describe a new framework for optimization of filter design and spot maps to meet t…
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…
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…
Long short-term memory networks for proton dose calculation in highly heterogeneous tissues
Ahmad Neishabouri, Niklas Wahl, Ulrich Köthe +1
A novel dose calculation approach was designed based on the application of LSTM network that processes the 3D patient/phantom geometry as a sequence of 2D computed tomography input…
Analytical probabilistic modeling of dose-volume histograms
Niklas Wahl, Philipp Hennig, Hans-Peter Wieser +1
Radiotherapy is sensitive to executional and preparational uncertainties that propagate to uncertainty in dose and plan quality indicators like dose-volume histograms (DVHs). Curre…