Work

Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes

Year: 2019

Type: article

Source: IEEE Journal of Biomedical and Health Informatics

DOI: 10.1109/jbhi.2019.2904078

Authors: Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing

Institutions: Stanford University, City University of Hong Kong, The University of Texas MD Anderson Cancer Center

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Institutes of Health, National Cancer Institute

Award: DASSIM-RT and Compressed Sensing-Based Inverse Planning

OpenAlex ID: W2921974282

FWCI: 3.146

Cites: 59

Cited by: 34

Related to: 10