7 citations · 17 across the 5 of their papers we have counts for
5 papers
Intelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning
Chenyang Shen, Yesenia Gonzalez, Liyuan Chen +2
A number of image-processing problems can be formulated as optimization problems. The objective function typically contains several terms specifically designed for different purpos…
An Analytic Linear Accelerator Source Model for Monte Carlo dose calculations. II. Model Utilization in a GPU-based Monte Carlo Package and Automatic Source Commissioning
Zhen Tian, Michael Folkerts, Yongbao Li +3
We recently built an analytical source model for GPU-based MC dose engine. In this paper, we present a sampling strategy to efficiently utilize this source model in GPU-based dose…
An Analytic Linear Accelerator Source Model for Monte Carlo Dose Calculations. I. Model Representation and Construction
Zhen Tian, Yongbao Li, Michael Folkerts +3
Monte Carlo (MC) simulation is considered as the most accurate method for radiation dose calculations. Accuracy of a source model for a linear accelerator is critical for the overa…
The fixed-point iteration method for IMRT optimization with truncated dose deposition coefficient matrix
Zhen Tian, Masoud Zarepisheh, Xun Jia +1
In the treatment plan optimization for intensity modulated radiation therapy (IMRT), dose-deposition coefficient (DDC) matrix is often pre-computed to parameterize the dose contrib…
A Multi-Criteria Framework with Voxel-Dependent Parameters for Radiotherapy Treatment Plan Optimization
Masoud Zarepisheh, Andres F. Uribe-Sanchez, Nan Li +2
In a treatment plan optimization problem for radiotherapy, a clinically acceptable plan is usually generated by an optimization process with weighting factors or reference doses ad…