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CT Reconstruction

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Showing 51–100 of 235 papers

TitleStatusHype
A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction—0
Bigger Isn't Always Better: Towards a General Prior for Medical Image ReconstructionCode0
Hierarchical Decomposed Dual-domain Deep Learning for Sparse-View CT ReconstructionCode0
3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation—0
Benchmarking learned algorithms for computed tomography image reconstruction tasks—0
Fan-Beam CT Reconstruction for Unaligned Sparse-View X-ray Baggage Dataset—0
ρ-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction—0
TomoGRAF: A Robust and Generalizable Reconstruction Network for Single-View Computed Tomography—0
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models—0
Epi-NAF: Enhancing Neural Attenuation Fields for Limited-Angle CT with Epipolar Consistency Conditions—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
Unsupervised Low-dose CT Reconstruction with One-way Conditional Normalizing Flows—0
Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT—0
Learnable Optimization-Based Algorithms for Low-Dose CT Reconstruction—0
Regression Conformal Prediction under BiasCode0
Sequential Diffusion-Guided Deep Image Prior For Medical Image Reconstruction—0
Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction—0
RN-SDEs: Limited-Angle CT Reconstruction with Residual Null-Space Diffusion Stochastic Differential EquationsCode0
Single-Layer Learnable Activation for Implicit Neural Representation (SL^2A-INR)—0
DX2CT: Diffusion Model for 3D CT Reconstruction from Bi or Mono-planar 2D X-ray(s)Code0
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution—0
CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction across All Sampling Rates—0
Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction—0
FCDM: A Physics-Guided Bidirectional Frequency Aware Convolution and Diffusion-Based Model for Sinogram Inpainting—0
A Low-dose CT Reconstruction Network Based on TV-regularized OSEM Algorithm—0
Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays—0
Reconstruct Spine CT from Biplanar X-Rays via Diffusion Learning—0
Deep Inertia L_p Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction—0
Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Models—0
X-Recon: Learning-based Patient-specific High-Resolution CT Reconstruction from Orthogonal X-Ray ImagesCode0
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays—0
Strategies for CT Reconstruction using Diffusion Posterior Sampling with a Nonlinear Model—0
Total Variation Regularization for Tomographic Reconstruction of Cylindrically Symmetric Objects—0
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction—0
3D CBCT Challenge 2024: Improved Cone Beam CT Reconstruction using SwinIR-Based Sinogram and Image Enhancement—0
Encoding Semantic Priors into the Weights of Implicit Neural Representation—0
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse ProblemsCode0
MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with Multi-sparse-view and Multi-scale Refinement-correctionCode0
Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT Reconstruction—0
MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction—0
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction—0
Continuous Learned Primal Dual—0
DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction—0
Ray-driven Spectral CT Reconstruction Based on Neural Base-Material Fields—0
Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT Reconstruction—0
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction—0
Low-Dose CT Reconstruction Using Dataset-free LearningCode0
Enhancing signal detectability in learning-based CT reconstruction with a model observer inspired loss functionCode0
MIRT: a simultaneous reconstruction and affine motion compensation technique for four dimensional computed tomography (4DCT)—0
MACE CT Reconstruction for Modular Material Decomposition from Energy Resolving Photon-Counting Data—0
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