Work

Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation

Year: 2019

Type: article

Source: Neurocomputing

DOI: 10.1016/j.neucom.2018.11.112

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

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

Language: English

Topic: Advanced Radiotherapy Techniques

Subfield: Radiation

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Varian Medical Systems, National Cancer Institute

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

OpenAlex ID: W2946596317

FWCI: 1.232

Cites: 25

Cited by: 7

Related to: 10