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CT Reconstruction

Papers

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Showing 1–50 of 235 papers

TitleStatusHype
Structure-Aware Sparse-View X-ray 3D ReconstructionCode5
X^2-Gaussian: 4D Radiative Gaussian Splatting for Continuous-time Tomographic ReconstructionCode4
Radiative Gaussian Splatting for Efficient X-ray Novel View SynthesisCode4
Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT ReconstructionCode2
Differentiable Forward Projector for X-ray Computed TomographyCode2
The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction MethodsCode1
Estimating Epistemic and Aleatoric Uncertainty with a Single ModelCode1
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension PerspectiveCode1
X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed TomographyCode1
XctDiff: Reconstruction of CT Images with Consistent Anatomical Structures from a Single Radiographic Projection ImageCode1
INCODE: Implicit Neural Conditioning with Prior Knowledge EmbeddingsCode1
On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT SettingCode1
Perspective Projection-Based 3D CT Reconstruction from Biplanar X-raysCode1
EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image ReconstructionCode1
Low-Dose CT Reconstruction Using Deep Generative Regularization PriorCode1
TorchRadon: Fast Differentiable Routines for Computed TomographyCode1
FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT ReconstructionCode1
Truly shift-equivariant convolutional neural networks with adaptive polyphase upsamplingCode1
Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT ReconstructionCode1
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT ImagingCode1
X-Field: A Physically Grounded Representation for 3D X-ray ReconstructionCode1
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual NetworkCode1
Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT DenoisingCode1
Self-Supervised Training For Low Dose CT ReconstructionCode1
Self-Supervised Coordinate Projection Network for Sparse-View Computed TomographyCode1
One Sample Diffusion Model in Projection Domain for Low-Dose CT ImagingCode1
Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT ReconstructionCode1
Gradient-Based Geometry Learning for Fan-Beam CT ReconstructionCode1
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse ProblemsCode1
Prompted Contextual Transformer for Incomplete-View CT ReconstructionCode1
Learned Alternating Minimization Algorithm for Dual-domain Sparse-View CT ReconstructionCode1
Generative Modeling in Sinogram Domain for Sparse-view CT ReconstructionCode1
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-RaysCode1
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN samplerCode0
Regression Conformal Prediction under BiasCode0
Primal-Dual UNet for Sparse View Cone Beam Computed Tomography Volume ReconstructionCode0
PYRO-NN: Python Reconstruction Operators in Neural NetworksCode0
RN-SDEs: Limited-Angle CT Reconstruction with Residual Null-Space Diffusion Stochastic Differential EquationsCode0
One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated BackprojectionCode0
MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with Multi-sparse-view and Multi-scale Refinement-correctionCode0
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary StudyCode0
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse ProblemsCode0
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty AlignmentCode0
CT Reconstruction from Few Planar X-rays with Application towards Low-resource RadiotherapyCode0
Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical GuaranteesCode0
Convergent Data-driven Regularizations for CT ReconstructionCode0
Learned Primal-dual ReconstructionCode0
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse ProblemsCode0
Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT ReconstructionCode0
Improving Computed Tomography (CT) Reconstruction via 3D Shape InductionCode0
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