72 citations · 126 across the 7 of their papers we have counts for
7 papers
Probabilistic Pareto plan generation for semiautomated multicriteria radiation therapy treatment planning
Tianfang Zhang, Rasmus Bokrantz, Jimmy Olsson
Objective: We propose a semiautomatic pipeline for radiation therapy treatment planning, combining ideas from machine learning-automated planning and multicriteria optimization (MC…
Direct optimization of dose-volume histogram metrics in radiation therapy treatment planning
Tianfang Zhang, Rasmus Bokrantz, Jimmy Olsson
We present a method of directly optimizing on deviations in clinical goal values in radiation therapy treatment planning. Using a new mathematical framework in which metrics derive…
Probabilistic feature extraction, dose statistic prediction and dose mimicking for automated radiation therapy treatment planning
Tianfang Zhang, Rasmus Bokrantz, Jimmy Olsson
Purpose: We propose a general framework for quantifying predictive uncertainties of dose-related quantities and leveraging this information in a dose mimicking problem in the conte…
A similarity-based Bayesian mixture-of-experts model
Tianfang Zhang, Rasmus Bokrantz, Jimmy Olsson
We present a new nonparametric mixture-of-experts model for multivariate regression problems, inspired by the probabilistic k-nearest neighbors algorithm. Using a conditionally spe…
Dynamic conformal arcs for lung stereotactic body radiation therapy: a comparison with volumetric modulated arc therapy
Rasmus Bokrantz, Minna Wedenberg, Peter Sandwall
This study evaluates dynamic conformal arc (DCA) therapy as an alternative to volumetric modulated arc therapy (VMAT) for stereotactic body radiation therapy (SBRT) of lung cancer.…
The scenario-based generalization of radiation therapy margins
Albin Fredriksson, Rasmus Bokrantz
We give a scenario-based treatment plan optimization formulation that is equivalent to planning with geometric margins if the scenario doses are calculated using the static dose cl…