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CT Reconstruction

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Showing 101–150 of 235 papers

TitleStatusHype
Differentiable Forward Projector for X-ray Computed TomographyCode2
Spatiotemporal Besov Priors for Bayesian Inverse Problems—0
Learned Alternating Minimization Algorithm for Dual-domain Sparse-View CT ReconstructionCode1
XTransCT: Ultra-Fast Volumetric CT Reconstruction using Two Orthogonal X-Ray Projections for Image-guided Radiation Therapy via a Transformer Network—0
Model-driven CT reconstruction algorithm for nano-resolution X-ray phase contrast imaging—0
Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs—0
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse ProblemsCode0
MCDIP-ADMM: Overcoming Overfitting in DIP-based CT reconstruction—0
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding—0
SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT ReconstructionCode0
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT—0
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse ProblemsCode1
Perspective Projection-Based 3D CT Reconstruction from Biplanar X-raysCode1
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
One Sample Diffusion Model in Projection Domain for Low-Dose CT ImagingCode1
Gradient-Based Geometry Learning for Fan-Beam CT ReconstructionCode1
Generative Modeling in Sinogram Domain for Sparse-view CT ReconstructionCode1
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
On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT SettingCode1
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
Self-Supervised Coordinate Projection Network for Sparse-View Computed TomographyCode1
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
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension PerspectiveCode1
Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT DenoisingCode1
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT ImagingCode1
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
Computed Tomography Reconstruction using Generative Energy-Based Priors—0
Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction—0
Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT ReconstructionCode0
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction—0
To what extent can Plug-and-Play methods outperform neural networks alone in low-dose CT reconstruction—0
Computational Scatter Correction for High-Resolution Flat-Panel CT Based on a Fast Monte Carlo Photon Transport Model—0
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data—0
Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations—0
A three-dimensional dual-domain deep network for high-pitch and sparse helical CT reconstruction—0
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