49 citations · 87 across the 7 of their papers we have counts for
6 papers · 1 filter
Meta-optimization for Fully Automated Radiation Therapy Treatment Planning
Charles Huang, Yusuke Nomura, Yong Yang +1
Objective: Radiation therapy treatment planning is a time-consuming process involving iterative adjustments of hyperparameters. To automate the treatment planning process, we propo…
Fully Automated Noncoplanar Radiation Therapy Treatment Planning
Charles Huang, Yong Yang, Lei Xing
Noncoplanar radiation therapy treatment planning has the potential to improve dosimetric quality as compared to traditional coplanar techniques. Likewise, automated treatment plann…
Beam data modeling of linear accelerators (linacs) through machine learning and its potential applications in fast and robust linac commissioning and quality assurance
Wei Zhao, Ishan Patil, Bin Han +3
Background and purpose: To propose a novel machine learning-based method for reliable and accurate modeling of linac beam data applicable to the processes of linac commissioning an…
Pareto Optimal Projection Search (POPS): Automated Radiation Therapy Treatment Planning by Direct Search of the Pareto Surface
Charles Huang, Yong Yang, Neil Panjwani +2
Objective: Radiation therapy treatment planning is a time-consuming, iterative process with potentially high inter-planner variability. Fully automated treatment planning processes…
Data-driven dose calculation algorithm based on deep learning
Jiawei Fan, Lei Xing, Peng Dong +3
In this study we performed a feasibility investigation on implementing a fast and accurate dose calculation based on a deep learning technique. A two dimensional (2D) fluence map w…
Automatic target positioning and tracking for image-guided radiotherapy without implanted fiducials
Wei Zhao, Liyue Shen, Yan Wu +3
Current image-guided prostate radiotherapy often relies on the use of implanted fiducials or transducers for target localization. Fiducial or transducer insertion requires an invas…