Pages that link to "Item:Q2198001"
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The following pages link to A nonconvex truncated regularization and box-constrained model for CT reconstruction (Q2198001):
Displaying 14 items.
- A model of regularization parameter determination in low-dose X-ray CT reconstruction based on dictionary learning (Q307697) (← links)
- X-ray CT image reconstruction via wavelet frame based regularization and Radon domain inpainting (Q1945370) (← links)
- An accelerated smoothing gradient method for nonconvex nonsmooth minimization in image processing (Q2059822) (← links)
- An improved linear convergence of FISTA for the LASSO problem with application to CT image reconstruction (Q2060059) (← links)
- Learning to scan: a deep reinforcement learning approach for personalized scanning in CT imaging (Q2072167) (← links)
- A comparison of regularization models for few-view CT image reconstruction (Q2084583) (← links)
- Extrapolated smoothing descent algorithm for constrained nonconvex and nonsmooth composite problems (Q2105897) (← links)
- A nonsmooth regularization approach based on shearlets for Poisson noise removal in ROI tomography (Q2422863) (← links)
- The integrated acceleration of the Chambolle-Pock algorithm applied to constrained TV minimization in CT image reconstruction (Q4988522) (← links)
- Fast Model-Based X-Ray CT Reconstruction Using Spatially Nonhomogeneous ICD Optimization (Q5369927) (← links)
- A Mathematical Model for Extremely Low Dose Adaptive Computed Tomography Acquisition (Q5404975) (← links)
- Two-Phase Image Segmentation by Nonconvex Nonsmooth Models with Convergent Alternating Minimization Algorithms (Q5881399) (← links)
- Nonconvex \(L_{1/2}\)-regularized nonlocal self-similarity denoiser for compressive sensing based CT reconstruction (Q6099823) (← links)
- The truncated variational model for image labeling and graph partitioning (Q6617214) (← links)
