Beam data modeling of linear accelerators (linacs) through machine learning and its potential applications in fast and robust linac commissioning and quality assurance is a research paper published in Radiotherapy and Oncology (2020). On theSindex it has a DataRank of 0. It has been cited 31 times.
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NCI NIH HHS
Grant: R01 CA227713
NCI NIH HHS
Grant: R01 CA223667
NCI NIH HHS
Grant: R01 CA176553
National Institutes of Health
Grant: 5R01CA176553-05
DASSIM-RT and Compressed Sensing-Based Inverse Planning
National Institutes of Health
Grant: 5R01CA227713-04
Dual Modality X-ray Luminescence CT for in vivo Cancer Imaging
National Institutes of Health
Grant: 5R01CA227713-03
Dual Modality X-ray Luminescence CT for in vivo Cancer Imaging
National Institutes of Health
Grant: 5R01CA223667-02
Radioluminescence dosimetry solution for precision radiation therapy
National Institutes of Health
FWCI
1.76
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals