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Investigation of domain gap problem in several deep-learning-based CT metal artefact reduction methods
We find that I-DL-MAR and DudoNet are effective for practical data of the torso dataset, indicating the domain gap problem is solved.
A novel deep learning-based method for monochromatic image synthesis from spectral CT using photon-counting detectors
To solve this problem, in this paper, we proposed a novel deep learning-based monochromatic image synthesis method working in sinogram domain.
A cascaded dual-domain deep learning reconstruction method for sparsely spaced multidetector helical CT
This step is to suppress helical artifacts and reduce the following computational cost.
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