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Simulated parallel-beam and fan-beam nano-CT datasets with per-angle random phantom shifts and rotations. The dataset generation is described in the paper Learning-based approaches for reconstructions with inexact operators in nanoCT applications. Code to use the data is available at https://gitlab.informatik.uni-bremen.de/inn4ip/cond-inn4nanoct (in particular the module src/learned_reco/data.py).
operator inexactness, nano-CT, computed tomography
operator inexactness, nano-CT, computed tomography
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