A deep-learning CT reconstruction framework that enforces cyclic rotation equivariance between sinogram and image domains shows improved generalization on brain phantoms, though the underlying equivariance property is classical.
Image reconstruction by domain- transform manifold learning,
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Incorporating Cyclic Group Equivariance into Deep Learning for Reliable Reconstruction of Rotationally Symmetric Tomography Systems
A deep-learning CT reconstruction framework that enforces cyclic rotation equivariance between sinogram and image domains shows improved generalization on brain phantoms, though the underlying equivariance property is classical.