μPIU-Net: A Domain-Specific Sinogram Infilling U-Net for Micro-CBCT and the Limitations of Generalized Models
Wiegmann, Falk Ludwig; Ford, Nancy;
μPIU-Net: A Domain-Specific Sinogram Infilling U-Net for Micro-CBCT and the Limitations of Generalized Models
μPIU-Net trained model weights and evaluation micro-CT scan on the mCTP 610 quality assurance phantom. The corresponding codebase (and link to paper) can be found on: github.com/UBC-Ford-lab/muPIU-Net-microCT-sinogram-infilling-network
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average