Fluence Map Prediction Using Deep Learning Models – Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy is a research paper published in Frontiers in Artificial Intelligence (2020). On theSindex it has a DataRank of 0. It has been cited 60 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
National Institutes of Health
Grant: R01CA201212
National Institutes of Health
Grant: 5R01CA201212-03
Developing knowledge models to enable rapid learning in radiation therapy
FWCI
6.39
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Additional file 1 of Automatic IMRT treatment planning through fluence prediction and plan fine-tuning for nasopharyngeal carcinoma
Additional file 1 of Automatic IMRT treatment planning through fluence prediction and plan fine-tuning for nasopharyngeal carcinoma