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Toward Improving Treatment Planning Quality and Efficiency Using Knowledge Engineering and Autoplanning: A Study Based on NRG-HN001 Clinical Trial

Year: 2016

Type: article

Source: International Journal of Radiation Oncology*Biology*Physics

DOI: 10.1016/j.ijrobp.2016.06.2273

Authors: T. Giaddui, D. Bollinger, A. Glick, H. Zhong, H. Phillips, F. Nunez, R. Infante, S. Hames, N. Linnemann, R. Lee, A. Tak-Cheung Chan, S.S. Yom, W. Hara, S.S. Baxi, A. Chakravarti, N. Lee, P. Xia, Y. Xiao

Institutions: Thomas Jefferson University, Sidney Kimmel Cancer Center, University of Pennsylvania, Fudan University Shanghai Cancer Center, Varian Medical Systems (United States), NRG Oncology, Chinese University of Hong Kong, Prince of Wales Hospital, University of California, San Francisco, Stanford University, Memorial Sloan Kettering Cancer Center, The Ohio State University, Cleveland Clinic

Language: English

Topic: Advanced Radiotherapy Techniques

Subfield: Radiation

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W2529028759

FWCI:

Cites:

Cited by: 1

Related to: 10