FAST-DIP integrates input-adaptive sequential DIP with fractional-gradient sparsity regularization on z-direction gradients and provides an alternating minimization algorithm with convergence guarantees for improved 3D CT reconstruction.
Medical image reconstruction with multi-level deep learning denoiser and tight frame regularization.Applied Mathematics and Computation, 477:128795, 2024
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Fractional-gradient Sparsity with Autoencoding Sequential Deep Image Prior for 3D CT Reconstruction
FAST-DIP integrates input-adaptive sequential DIP with fractional-gradient sparsity regularization on z-direction gradients and provides an alternating minimization algorithm with convergence guarantees for improved 3D CT reconstruction.