Work

Incorporating imaging information from deep neural network layers into image guided radiation therapy (IGRT)

Year: 2019

Type: article

Source: Radiotherapy and Oncology

DOI: 10.1016/j.radonc.2019.06.027

Authors: Wei Zhao, Bin Han, Yong Yang, Mark Buyyounouski, Steven L. Hancock, Hilary Bagshaw, Lei Xing

Institutions: Stanford Medicine, Stanford University

Language: English

Topic: Advanced Radiotherapy Techniques

Subfield: Radiation

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Google, Nvidia, National Institutes of Health, National Cancer Institute

Awards: Dual Modality X-ray Luminescence CT for in vivo Cancer Imaging, DASSIM-RT and Compressed Sensing-Based Inverse Planning, Radioluminescence dosimetry solution for precision radiation therapy

OpenAlex ID: W2962328984

FWCI: 5.256

Cites: 54

Cited by: 46

Related to: 10