Pages that link to "Item:Q5123693"
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The following pages link to Computed tomography reconstruction using deep image prior and learned reconstruction methods (Q5123693):
Displaying 27 items.
- CT image reconstruction on a low dimensional manifold (Q2003047) (← links)
- Neural network for data preprocessing in computed tomography (Q2069692) (← links)
- Learning to scan: a deep reinforcement learning approach for personalized scanning in CT imaging (Q2072167) (← links)
- Constrained and unconstrained deep image prior optimization models with automatic regularization (Q2111471) (← links)
- A review on deep learning in medical image reconstruction (Q2218098) (← links)
- Unpaired low-dose CT denoising network based on cycle-consistent generative adversarial network with prior image information (Q2283794) (← links)
- Regularization theory of the analytic deep prior approach (Q5043664) (← links)
- Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction (Q5056920) (← links)
- A Generative Variational Model for Inverse Problems in Imaging (Q5065477) (← links)
- Wasserstein-Based Projections with Applications to Inverse Problems (Q5074785) (← links)
- Probabilistic approach to limited-data computed tomography reconstruction (Q5193500) (← links)
- Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography (Q5383309) (← links)
- A dataset-free deep learning method for low-dose CT image reconstruction (Q5867675) (← links)
- Unsupervised knowledge-transfer for learned image reconstruction* (Q5867677) (← links)
- Foreword to special issue of Inverse Problems on modern challenges in imaging (Q5875955) (← links)
- Imaging based on Compton scattering: model uncertainty and data-driven reconstruction methods (Q5877337) (← links)
- In focus -- hybrid deep learning approaches to the HDC2021 challenge (Q6114452) (← links)
- Restoring severely out-of-focus blurred text images with deep image prior (Q6114459) (← links)
- WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution (Q6168325) (← links)
- Deep unrolling networks with recurrent momentum acceleration for nonlinear inverse problems (Q6557671) (← links)
- Bayesian imaging inverse problem with SA-roundtrip prior via HMC-pCN sampler (Q6573297) (← links)
- Convergent data-driven regularizations for CT reconstruction (Q6575310) (← links)
- Low-resolution prior equilibrium network for CT reconstruction (Q6581198) (← links)
- Equivariant neural networks for indirect measurements (Q6583711) (← links)
- Normalizing flow regularization for photoacoustic tomography (Q6641747) (← links)
- Parameter identification by deep learning of a material model for granular media (Q6643277) (← links)
- Superiorized iteration algorithm for CT image simultaneous reconstruction and segmentation (Q6648731) (← links)