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Found 3 papers, 2 papers with code
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction
In this work, we present a novel self-supervised method for Low Dose Computed Tomography (LDCT) reconstruction.
Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT Reconstruction
Extensive experiments with simulated and real computed tomography (CT) data were performed to validate the effectiveness of the proposed methods and we reported increased reconstruction accuracy compared to CAOL and iterative methods with single and joint total-variation (TV) regularization.
Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition
Spectral Computed Tomography (CT) is an emerging technology that enables to estimate the concentration of basis materials within a scanned object by exploiting different photon energy spectra.
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