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.
DirectPET: full -size neural network PET reconstruction from sinogram data,
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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.