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CT Reconstruction

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Showing 126–150 of 235 papers

TitleStatusHype
SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT ReconstructionCode0
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT—0
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty AlignmentCode0
Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography—0
A Global Constraint to Improve CT Reconstruction Under Non-Ideal Conditions—0
Convergent Data-driven Regularizations for CT ReconstructionCode0
DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction—0
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction—0
Active CT Reconstruction with a Learned Sampling Policy—0
Unsupervised denoising for sparse multi-spectral computed tomography—0
Spectral2Spectral: Image-spectral Similarity Assisted Spectral CT Deep Reconstruction without Reference—0
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density—0
Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium—0
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary StudyCode0
Improving Computed Tomography (CT) Reconstruction via 3D Shape InductionCode0
LRIP-Net: Low-Resolution Image Prior based Network for Limited-Angle CT Reconstruction—0
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture—0
Combining Deep Learning and Adaptive Sparse Modeling for Low-dose CT Reconstruction—0
Noise analysis, error estimates, and Gamma Radiation Measurement for limited detector computerized tomography application—0
Nonconvex L_ 1/2 -Regularized Nonlocal Self-similarity Denoiser for Compressive Sensing based CT Reconstruction—0
Primal-Dual UNet for Sparse View Cone Beam Computed Tomography Volume ReconstructionCode0
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency—0
Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction—0
Computed Tomography Reconstruction using Generative Energy-Based Priors—0
Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT ReconstructionCode0
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