Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective imaging registry is a research paper published in Clinical and Translational Radiation Oncology (2021). On theSindex it has a DataRank of 0. It has been cited 57 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?
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NCI NIH HHS
Grant: R01 CA218148
NIDCR NIH HHS
Grant: F31 DE029093
NCI NIH HHS
Grant: R01 CA214825
NIDCR NIH HHS
Grant: R56 DE025248
NCI NIH HHS
Grant: P30 CA016672
NCATS NIH HHS
Grant: TL1 TR003169
NIDCR NIH HHS
Grant: F31 DE031502
NCI NIH HHS
Grant: P50 CA097007
NIDCR NIH HHS
Grant: R01 DE025248
NIDCR NIH HHS
Grant: R01 DE028290
NIBIB NIH HHS
Grant: R25 EB025787
FWCI
7.33
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals