49 citations · 87 across the 7 of their papers we have counts for
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physics.med-ph2020
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…
physics.med-ph2020★ 9 cited
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…
physics.med-ph2020★ 49 cited
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…