Work

Beam data modeling of linear accelerators (linacs) through machine learning and its potential applications in fast and robust linac commissioning and quality assurance

Year: 2020

Type: article

Source: Radiotherapy and Oncology

DOI: 10.1016/j.radonc.2020.09.057

Authors: Wei Zhao, Ishan Patil, Bin Han, Yong Yang, Lei Xing, Emil Schüler

Institutions: Stanford Medicine, Stanford University, The University of Texas MD Anderson Cancer Center

Language: English

Topic: Advanced Radiotherapy Techniques

Subfield: Radiation

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Cancer Institute

Awards: G3174458080, DASSIM-RT and Compressed Sensing-Based Inverse Planning, Radioluminescence dosimetry solution for precision radiation therapy, G5691883761, G9000019233

OpenAlex ID: W3092001362

FWCI: 2.856

Cites: 36

Cited by: 31

Related to: 10