Radiotherapy Treatment Planning in the Age of AI: Are We Ready Yet?
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https://hdl.handle.net/10161/20268Published Version (Please cite this version)
10.1177/1533033819894577Publication Info
(2019). Radiotherapy Treatment Planning in the Age of AI: Are We Ready Yet?. Technology in cancer research & treatment, 18. pp. 1533033819894577. 10.1177/1533033819894577. Retrieved from https://hdl.handle.net/10161/20268.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Julian Hong
Research Scholar
I am a current resident physician in radiation oncology and will be completing residency
in June 2019. I will be starting as faculty in the Department of Radiation Oncology
and in the Bakar Computational Sciences Health Institute at the University of California,
San Francisco in September 2019.
Chunhao Wang
Assistant Professor of Radiation Oncology
Deep learning methods for image-based radiotherapy outcome prediction and assessment
Machine learning in outcome modelling
Automation in radiotherapy planning and delivery
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