Pages that link to "Item:Q307697"
From MaRDI portal
The following pages link to A model of regularization parameter determination in low-dose X-ray CT reconstruction based on dictionary learning (Q307697):
Displaying 8 items.
- 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)
- A nonconvex truncated regularization and box-constrained model for CT reconstruction (Q2198001) (← links)
- Low-dose spectral CT reconstruction using image gradient \(\ell_0\)-norm and tensor dictionary (Q2306948) (← links)
- The effect of CT scan parameters on the measurement of CT radiomic features: a lung nodule phantom study (Q2632322) (← links)
- Tomographic reconstruction with spatially varying parameter selection (Q5000591) (← links)
- Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction (Q5056920) (← links)
- A Mathematical Model for Extremely Low Dose Adaptive Computed Tomography Acquisition (Q5404975) (← links)
