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.
Learning to reconstruct computed tomography images directly from sinogram data under a variety of data acquisition conditions,
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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.