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Deep Learning Based Computed Tomography Whys and Wherefores
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Deep Learning Based Computed Tomography Whys and Wherefores
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This is an article about the Computed Tomography (CT) and how Deep Learning influences CT reconstruction pipeline, especially in low dose scenarios.
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Cited by 1 Pith paper
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Learned iterative networks: An operator learning perspective
Learned iterative reconstruction networks can be uniformly described as operator learning: the unrolled architecture fixes how to compute while the loss and data fix what to compute; for nonlinear inverse problems the...
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