72 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- KTH Royal Institute of TechnologySE13 papers
- Iridium KankernetwerkBE2 papers
- University of AntwerpBE2 papers
- Brigham and Women's HospitalUS1 paper
- Dana-Farber Brigham Cancer CenterUS1 paper
- Dana-Farber Cancer InstituteUS1 paper
- Harvard UniversityUS1 paper
- Institute of Information and Communication TechnologiesBG1 paper
- Ion Beam Applications (Belgium)BE1 paper
- KU LeuvenBE1 paper
- UCLouvainBE1 paper
- Uppsala UniversitySE1 paper
4 papers · 2 filters
Robust automated radiation therapy treatment planning using scenario-specific dose prediction and robust dose mimicking
Oskar Eriksson, Tianfang Zhang
Purpose: We present a framework for robust automated treatment planning using machine learning, comprising scenario-specific dose prediction and robust dose mimicking. Methods: The…
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…