4 citations · 4 across the 3 of their papers we have counts for
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cs.CV2018★ 4 cited
Deriving Neural Network Architectures using Precision Learning: Parallel-to-fan beam Conversion
Christopher Syben, Bernhard Stimpel, Jonathan Lommen +3
In this paper, we derive a neural network architecture based on an analytical formulation of the parallel-to-fan beam conversion problem following the concept of precision learning…
cs.CV2018
Temporal and volumetric denoising via quantile sparse image prior
Franziska Schirrmacher, Thomas Köhler, Tobias Lindenberger +7
This paper introduces an universal and structure-preserving regularization term, called quantile sparse image (QuaSI) prior. The prior is suitable for denoising images from various…