ResPF: Residual Poisson Flow Generative Model for Efficient and Physically Consistent Sparse-View CT Reconstruction is a research paper published in IEEE Transactions on Radiation and Plasma Medical Sciences (2025). On theSindex it has a DataRank of 0.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
National Institutes of Health (NIH)/National Institute of Biomedical Imaging and Bioengineering
Grant: R01EB032807
FWCI
0.00
Citation Percentile
0.3%
Fields of Study
Keywords