Awesome Computed Tomography
A curated list of CT reconstruction resources — 435 papers (updated 2026-10-16), 45 toolkits, 41 datasets, 19 benchmarks, 29 learning resources. Every paper link resolved against Crossref, arXiv or the publisher’s own record.
- Papers
- 435
- Peer-reviewed
- 86%
- Toolkits
- 45
- Datasets
- 41
- Benchmarks
- 19
- Updated
- 2026-10-16
Newest first within each topic. Each entry gives its venue and year in italics; _preprint_ marks work not (yet) published at a peer-reviewed venue, dated by its first public posting.
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K-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs
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3D Field of Junctions: A Noise-Robust, Training-Free Structural Prior for Volumetric Inverse Problems
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Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction
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AD-GSAnatomical Density-guided 3D Gaussian Splatting for Sparse-View Dental CBCT Reconstruction
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Anatomy-preserving unpaired cone-beam CT refinement for image-guided radiotherapy using pseudo-label guided diffusion
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At FullTilt: Real-Time Open-Set 3D Macromolecule Detection Directly from Tilted 2D Projections
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Balancing Efficiency and Restoration: Lightweight Mamba-Based Model for CT Metal Artifact Reduction
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CBCT-Based Synthetic CT Generation Using Conditional Flow Matching Model
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CG-GLOREA Conjugate Gradient-Based Global-Local Regularization Network for Sparse-View CT Reconstruction
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Complex Wavelet-Based Sinogram Segmentation for Metal Artifact Reduction in Cone-Beam CT
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Computed Tomography Reconstruction Algorithm Using Markov Random Field Model
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Conditional Diffusion for 3D CT Volume Reconstruction from 2D X-rays
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Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction
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Cone-beam artifact reduction in Gamma Knife CBCT images using a line-arc-line scan trajectory
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Cone-Beam CT Image Quality Enhancement Using A Latent Diffusion Model Trained with Simulated CBCT Artifacts
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Continuity-driven Synergistic Diffusion with Neural Priors for Ultra-Sparse-View CBCT Reconstruction
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Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT
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Cross-Modal Guidance for Fast Diffusion-Based Computed Tomography
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CryoDeRecA Supervised Multi-task Framework for Joint cryo-ET Restoration Enabled by Generative Physical Simulation
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CTOResolution-Agnostic Neural Operators for Multi-Rate Sparse-View CT
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DC-PnPDPPlug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction
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Deep Pseudo-Proximal Map: A Self-Supervised Data-Fitting Agent for Iterative Reconstruction
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DeepSparseA Foundation Model for Sparse-View CBCT Reconstruction
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DenoMambaA Fused State-Space Model for Low-Dose CT Denoising
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DiffNRDiffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction
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DINRRegularizing INR with Diffusion Prior for Self-Supervised 3D Reconstruction of Neutron Computed Tomography Data
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DM4CTBenchmarking Diffusion Models for CT Reconstruction
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Dose-Aware Cold Diffusion with Physics Consistency for Generalizable Low-Dose CT Reconstruction
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Dual-domain U-Nets with embedded back projection operators for motion-resolved 4D CBCT reconstruction
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Dynamic Black-hole Emission Tomography with Physics-Informed Neural Fields
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Efficient Unrolled Networks for Large-Scale 3D Inverse Problems
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Equivariance2InverseA Practical Self-Supervised CT Reconstruction Method Benchmarked on Real, Limited-Angle, and Blurred Data
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Event-Based Sparse-View Background-Oriented Schlieren Tomography
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Exact-GSMathematically Rigorous and Accurate 3D Gaussian Splatting for 3D X-Ray Reconstruction
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FaCT-GSFast and Scalable CT Reconstruction with Gaussian Splatting
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Field-of-View Extension in Dental Cone-Beam CT via Implicit Neural Representations and Diffusion Model-Based Refinement
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Foundation-VAEFoundation VAEs for 3D CT Reconstruction, Augmentation, and Generation
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From Sparse X-rays to 3D CT: Training-Free Reconstruction with Diffusion Priors
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Gaussian Material Fields for Volumetric Multi-Energy CT Decomposition
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GB-SVFBPGaussian-Based Shift-Variant FBP neural network
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Geometry-Aware Diffusion Approximate Posterior Sampling for Sparse-View and Limited-Angle CT
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GH-NAFGrid-Adaptive Hash-Level-Attended Neural Attenuation Fields for Discrepancy-Aware CBCT
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GR-GaussianGraph-Based Radiative Gaussian Splatting for Sparse-View Tomography
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Gradient-Based Trajectory Optimisation over Continuous Poses for Sparse-View Cone-Beam CT
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H3D-MarNetWavelet-Guided Dual-Path Learning for Metal Artifact Suppression and CT Modality Transformation for Radiotherapy Workflows
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HARU-NetHybrid Attention Residual U-Net for Edge-Preserving Denoising in Cone-Beam Computed Tomography
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High-Fidelity 3D Tooth Reconstruction by Fusing Intraoral Scans and CBCT Data via a Deep Implicit Representation
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High-Precision Image Reconstruction for Binary-Valued X-Ray CT From Limited-View Projections
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HorusEyeA self-supervised foundation model for generalizable X-ray tomography restoration
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Human-Guided Shade Artifact Suppression in CBCT-to-MDCT Translation via Schrödinger Bridge with Conditional Diffusion
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ILVIterative Latent Volumes for Fast and Accurate Sparse-View CT Reconstruction
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Integration of Spectral CT with PET and SPECT: Bringing Tissue Composition Information to Molecular Imaging
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ISCSImproving 2D Diffusion Models for 3D Medical Imaging with Inter-Slice Consistent Stochasticity
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Joint-decoupled iterative CBCT reconstruction with hybrid scatter estimation and voxel-adaptive beam hardening correction
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KLIPLocalized Distribution Shift Detection via KL-Divergence with Diffusion Priors in Inverse Problems
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Learning Where and What to Lift for Bi-planar X-ray-to-CT Reconstruction
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Leveraging Image Editing Foundation Models for Data-Efficient CT Metal Artifact Reduction
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LINGOLatent Initialization and Gradient Optimization for Sparse-view X-ray Novel View Synthesis and CT Reconstruction with 3D Gaussian Splatting
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Low-Level Dataset Distillation for Medical Image Enhancement
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LUCIDLearned Undersampling-Adaptive Consistency-Guided Inference with Deterministic Flow Matching for Sparse-View CT Reconstruction
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MedGMAEGaussian Masked Autoencoders for Medical Volumetric Representation Learning
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MGMARMetal-Guided Metal Artifact Reduction for X-ray Computed Tomography
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Model-Based Iterative Reconstruction with View-Dependent Detector Displacements for Cone-Beam CT
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NABNeural Adaptive Binning for Sparse-View CT Reconstruction
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NAB-GSZero-shot CT Super-Resolution using Diffusion-based 2D Projection Priors and Signed 3D Gaussians
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Neuromorphic X-Ray Computed Tomography
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NGPSStructure-Preserving Self-Supervised Denoising via Neighbor-Guided Patch Sampling
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Noise2MatchSelf-Supervised Low-Dose CT Denoising via Adaptive Inter-Slice Matching
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Non-circular scan trajectories for reducing cone-beam artifacts in Gamma Knife CBCT images: a simulation study
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OpenProsA Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography
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OX-NeRF3D X-ray Tomography Reconstruction from Sparse Views Using Implicit Neural Representation
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PhyDiCTPlug-and-Play CT Reconstruction from Sparse X-Rays via Differentiable Rendering and Strong Priors
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Projection-Volume Fidelity Divergence: Diagnosing and Controlling Optimization Drift in Sparse-View 3D Gaussian Tomography
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Radioactive 3D Gaussian Ray Tracing for Tomographic Reconstruction
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Radon Transforms of Projection Functions and Aleksandrov-Fenchel Inequalities
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RAMReconstruct Anything Model: A Lightweight General Model for Computational Imaging
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Revisiting Pose Sensitivity in Splat-based Computed Tomography under Sparse-view Reconstruction
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RinerUnsupervised Multi-Parameter Inverse Solving for Reducing Ring Artifacts in 3D X-Ray CBCT
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Robustness and Stability Analysis of Differentiable Shift-Variant FBP for Cone-Beam CT under Challenging Acquisition Settings
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Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction
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Spectral Consistent Flow for One-Step 3D Medical Image Translation
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Splat-Based Metal Artifact Reduction in Cone-Beam CT via Compact Attenuation Modeling
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Splat-based Metal Artifact Reduction in Cone-Beam CT via Polychromatic Modeling
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STCNetDual-Domain Sparse-View 4D CBCT Reconstruction with Spatial-Temporal Consistency Learning
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TAMPImaging foundation model for universal enhancement of non-ideal measurement CT
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Texture-preserving implicit neural representation for cone-beam CT truncated reconstruction
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TG-FieldGeometry-Aware Radiative Gaussian Fields for Tomographic Reconstruction
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Tomographic Sparse View Selection Using the View Covariance Loss
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TomoTransformerTowards a Foundation Model for CT Reconstruction
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Toward a Foundation Plug-and-Play Prior for Computed Tomography Reconstruction via a Multimodal Diffusion Model
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Toward CT-Equivalent Image Quality in Low-Dose Radiotherapy Planning: Conditional Diffusion-Based CBCT-to-CT Synthesis and the Impact of CBCT Input Representation
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Towards reconstructing experimental sparse-view X-ray CT data with diffusion models
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Unsupervised Metal Artifact Reduction in Dental CBCT using Fine-tuned Cycle-Consistent Adversarial Networks
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Variational Garrote for Sparse Inverse Problems
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VoDaSuReA Large-Scale Dataset Revealing Domain Shift in Volumetric Super-Resolution
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VoxelSynth3DInterpretable Volumetric Image-Domain Metal Artifact Reduction with a Paired Synthetic CLINIC-Metal Benchmark
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XDen-1KA Density Field Dataset of Real-World Objects
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3D CBCT Artefact Removal Using Perpendicular Score-Based Diffusion Models
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4DGS-4DCBCTSpatiotemporal Gaussian Optimization for 4D Cone Beam CT Reconstruction from Sparsely Sampled Projections
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A CT Geometry With Multiple Centers Of Rotation For Solving Sparse View Problem
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A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction
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Accelerated Optimization of Implicit Neural Representations for CT Reconstruction
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Adaptive Diffusion Models for Sparse-View Motion-Corrected Head Cone-beam CT
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Advancing Limited-Angle CT Reconstruction Through Diffusion-Based Sinogram Completion
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An Iterative Reconstruction Method for Dental Cone-Beam Computed Tomography with a Truncated Field of View
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An unsupervised sparse-view CT reconstruction framework using combination of iterative deep image prior and ADMM
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Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?
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Bigger Isn't Always Better: Towards a General Prior for Medical Image Reconstruction
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CoCo-PnPLearning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Inverse Problems
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Coordinate-Based Speed of Sound Recovery for Aberration-Corrected Photoacoustic Computed Tomography
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CvG-DiffCross-View Generalized Diffusion Model for Sparse-View CT Reconstruction
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Data-Efficient Limited-Angle CT Using Deep Priors and Regularization
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DGRDiscretized Gaussian Representation for Tomographic Reconstruction
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DiffNAFIterative Diffusion-Refined Neural Attenuation Fields for Multi-Source Stationary Tomography
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Diffusion-Based Limited-Angle CT Reconstruction under Noisy Conditions
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DIGSDynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model
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DVG-DiffusionDual-View Guided Diffusion Model for CT Reconstruction from X-Rays
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EAGLEAn Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction
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End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT
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Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration
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Epi-NAFEnhancing Neural Attenuation Fields for Limited-Angle CT with Epipolar Consistency
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Equivariant Conditional Diffusion Model for Head and Neck CT Image Synthesis from CBCT
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Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT: From Simulated to Real Data
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FIND-Net -- Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction
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GANeXtA Fully ConvNeXt-Enhanced Generative Adversarial Network for MRI- and CBCT-to-CT Synthesis
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GLFCUnified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCT
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InsideOutIntegrated RGB-Radiative Gaussian Splatting for Comprehensive 3D Object Representation
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Investigating the effects of machine learning generalization for enhancing accuracy in fast X-ray computed tomography for industrial metrology
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Latent Space Consistency for Sparse-View CT Reconstruction
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LCTfoundA lung CT vision foundation model facilitating disease diagnosis and medical imaging
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Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction
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Limited-Angle CBCT Reconstruction via Geometry-Integrated Cycle-domain Denoising Diffusion Probabilistic Models
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Limited-angle SPECT image reconstruction using deep image prior
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Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine
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MInDI-3DIterative Deep Learning in 3D for Sparse-view Cone Beam Computed Tomography
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Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-View CT Reconstruction
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Modeling X-Ray Photon Pile-Up with a Normalizing Flow
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MONSTRModel-Oriented Neutron Strain Tomographic Reconstruction
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Motion-GradA Gradient-Based Approach to Fast and Accurate Head Motion Compensation in Cone-Beam CT
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Neural Discrete Representation Learning for Sparse-View CBCT Reconstruction: From Algorithm Design to Prospective Multicenter Clinical Evaluation
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Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction
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Nonperiodic dynamic CT reconstruction using backward-warping INR with regularization of diffeomorphism (BIRD)
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Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction
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Physics-Inspired Gaussian Kolmogorov-Arnold Networks for X-ray Scatter Correction in Cone-Beam CT
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Prior-Adapted Progressive Time-Resolved CBCT Reconstruction Using a Dynamic Reconstruction and Motion Estimation Method
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Projection Embedded Diffusion Bridge for CT Reconstruction from Incomplete Data
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Pseudoinverse Diffusion Models for Generative CT Image Reconstruction from Low Dose Data
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Recover Biological Structure from Sparse-View Diffraction Images with Neural Volumetric Prior
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ReMAR-DSRecalibrated Feature Learning for Metal Artifact Reduction and CT Domain Transformation
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SDBSystem-Embedded Diffusion Bridge Models
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Semantic contrastive learning for orthogonal X-ray computed tomography reconstruction
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SIRE-NetStructure-Integrated Refinement and Enhancement Network for Limited-Angle CT Reconstruction
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SpenerUnsupervised Self-Prior Embedding Neural Representation for Sparse-View CT Reconstruction
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Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction
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Swap-NetA Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction to ICF Applications
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Synthetic CT image generation from CBCT: A Systematic Review
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Time-resolved dynamic CBCT reconstruction using prior-model-free spatiotemporal Gaussian representation (PMF-STGR)
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Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography
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Vol3DGSVolumetrically Consistent 3D Gaussian Rasterization
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When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-view CT
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X-GRMLarge Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography
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X2-Gaussian4D Radiative Gaussian Splatting for Continuous-Time Tomographic Reconstruction
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XGenReconA New Perspective in Ultrasparse Volumetric CBCT Reconstruction Through Geometry-Controlled X-Ray Projection Generation
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Zero-Shot Low-dose CT Denoising via Sinogram Flicking
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A Review of Deep Learning CT Reconstruction From Incomplete Projection Data
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Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images with Deep Learning -- A Review
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BaggageCTFan-Beam CT Reconstruction for Unaligned Sparse-View X-Ray Baggage Data
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CoreDiffContextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
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Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series
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DDDMDual-Domain Diffusion Model for Sparse-View CT Reconstruction
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DIF-GaussianLearning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
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DiffReconDiffusion Models for Medical Image Reconstruction
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DiffusionBlendLearning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction
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DiffuX2CTDiffusion Learning to Reconstruct CT Images from Biplanar X-Rays
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DuDoDp-MARUnsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
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FCDMA Physics-Guided Bidirectional Frequency Aware Convolution and Diffusion-Based Model for Sinogram Inpainting
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Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction
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How auto-differentiation can improve CT workflows: classical algorithms in a modern framework
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INCODEImplicit Neural Conditioning with Prior Knowledge Embeddings
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INR-JointImplicit Neural Representations for Robust Joint Sparse-View CT Reconstruction
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Machine learning based sinogram interpolation for X-ray computed tomography validated on experimental data
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Machine learning in industrial X-ray computed tomography - a review
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Neural Field Regularization by Denoising for 3D Sparse-View X-Ray Computed Tomography
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Plug-and-Play Learned Proximal Trajectory for 3D Sparse-View X-Ray Computed Tomography
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R2-GaussianRectifying Radiative Gaussian Splatting for Tomographic Reconstruction
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RBP-DIPResidual back projection with deep image prior for ill-posed CT reconstruction
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RN-SDEsLimited-Angle CT Reconstruction with Residual Null-Space Diffusion Stochastic Differential Equations
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SAX-NeRFStructure-Aware Sparse-View X-Ray 3D Reconstruction
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Scatter-DLScatter Correction Using Deep Learning for Cone-Beam Computed Tomography
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SOUL-NetA Sparse and Low-Rank Unrolling Network for Spectral CT Image Reconstruction
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SWORDStage-by-Stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction
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Two-View Industrial CT Reconstruction Based on a Multiscale Conditional Latent Diffusion Network
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Wavelet-Improved Score-Based Generative Model for Medical Imaging
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X-GaussianRadiative Gaussian Splatting for Efficient X-Ray Novel View Synthesis
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3DIPSolving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models
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ASCONAnatomy-Aware Supervised Contrastive Learning Framework for Low-Dose CT Denoising
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CTformerConvolution-Free Token2Token Dilated Vision Transformer for Low-Dose CT Denoising
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DADNDomain-adaptive denoising network for low-dose CT via noise estimation and transfer learning
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DDLMDiffusion Denoising for Low-Dose-CT Model
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DEARDeep Embedding-Attention-Refinement for Sparse-View CT Reconstruction
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DIF-NetLearning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
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Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image Denoising
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DiFiR-CTDistance field representation to resolve motion artifacts in computed tomography
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DolceA Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction
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DREAM-NetDeep Residual Error Iterative Minimization Network for Sparse-View CT Reconstruction
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Fast algorithms based on Empirical Interpolation Methods for selecting best projections in Sparse-View X-ray Computed Tomography using a priori information
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FreeSeedFrequency-Band-Aware and Self-Guided Network for Sparse-View CT Reconstruction
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GGLFGradient-based geometry learning for fan-beam CT reconstruction
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IRDSIterative reconstruction of low-dose CT based on differential sparse
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LEARN++Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT
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MDSTMulti-domain sparse-view CT reconstruction based on convolution and Swin Transformer
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MEPNetA Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images
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Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT
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PINERPrior-Informed Implicit Neural Representation Learning for Test-Time Adaptation in Sparse-View CT Reconstruction
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PolynerUnsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
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SCOPESelf-Supervised Coordinate Projection Network for Sparse-View Computed Tomography
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SemiMARSemi-Supervised Learning for CT Metal Artifact Reduction
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Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data
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SPIE-DIRSelf-Prior Information Enhanced Deep Iterative Reconstruction Using Two Complementary Limited-Angle Scans for DECT
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SPQIStructure-preserving quality improvement of cone beam CT images using contrastive learning
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STINRDynamic cone-beam CT reconstruction using spatial and temporal implicit neural representation learning (STINR)
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Synergizing Physics/Model-based and Data-driven Methods for Low-Dose CT
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The realisation of fast X-ray computed tomography using a limited number of projection images for dimensional metrology
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UncertaINRUncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography
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ACDNetAdaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
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ACID-AStabilizing deep tomographic reconstruction - Part A. Hybrid framework and experimental results
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ACID-BStabilizing deep tomographic reconstruction - Part B. Convergence analysis and adversarial attacks
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An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction
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An Unsupervised Reconstruction Method For Low-Dose CT Using Deep Generative Regularization Prior
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CCN-CLA content-noise complementary network with contrastive learning for low-dose computed tomography denoising
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CoCoDiffA Contextual Conditional Diffusion Model for Low-dose CT Image Denoising
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DDCLDual domain closed-loop learning for sparse-view CT reconstruction
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DESDGANA Dual-Encoder-Single-Decoder Based Low-Dose CT Denoising Network
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DFDLMA Dataset-free Deep Learning Method for Low-Dose CT Image Reconstruction
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DiffMedDiffusion Models for Medical Image Analysis: A Comprehensive Survey
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DIORDeep Iterative Optimization-Based Residual-Learning for Limited-Angle CT Reconstruction
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DU-GANGenerative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
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DuDoDR-NetDual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography
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DuDoTransDual-Domain Transformer for Sparse-View CT Reconstruction
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EASELIterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model
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FONT-SIRFourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction
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GMM-unNetNoise Characteristics Modeled Unsupervised Network for Robust CT Image Reconstruction
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IDOL-NetAn Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
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Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20× Speedup
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MALARMultiple Adversarial Learning based Angiography Reconstruction for Ultra-low-dose Contrast Medium CT
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NAFNeural Attenuation Fields for Sparse-View CBCT Reconstruction
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NeuRecIncorporating Interpatient prior to Sparse-View Image Reconstruction for Neurorehabilitation
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OSDMOne Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging
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Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction
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PLANetLearning Projection Views for Sparse-View CT Reconstruction
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Review of high energy x-ray computed tomography for non-destructive dimensional metrology of large metallic advanced manufactured components
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SNAFSparse-View CBCT Reconstruction with Neural Attenuation Fields
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Streak artifacts reduction algorithm using an implicit neural representation in sparse-view CT
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UNDIPSparse-view and limited-angle CT reconstruction with untrained networks and deep image prior
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ALPDAdversarially learned iterative reconstruction for imaging inverse problems
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CasRedSCANLimited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer
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CD-NetComprehensive Domain Network With Spectral Complementary for DECT Sparse-View Reconstruction
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CLEARComprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging
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CoILCoordinate-Based Internal Learning for Tomographic Imaging
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DAN-NetDual-Domain Adaptive-Scaling Non-Local Network for CT Metal Artifact Reduction
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DCTRDynamic CT Reconstruction From Limited Views With Implicit Neural Representations
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DeACNNLearning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites
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DL-PICCSAccurate and robust sparse-view angle CT image reconstruction using deep learning and prior image constrained compressed sensing (DL-PICCS)
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DRONEDual-Domain Residual-Based Optimization Network for Sparse-View CT Reconstruction
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DSigNetDownsampled Imaging Geometric Modeling for Accurate CT Reconstruction via Deep Learning
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FDMDegradation-Aware Deep Learning Framework for Sparse-View CT Reconstruction
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FISTA-NetLearning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging
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InDuDoNetAn Interpretable Dual Domain Network for CT Metal Artifact Reduction
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IntraTomoSelf-supervised Learning-based Tomography via Sinogram Synthesis and Prediction
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Limited-Angle CT Reconstruction via the L1/L2 Minimization
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LMFILearnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction
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LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction
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MAGICManifold and graph integrative convolutional network for low-dose CT reconstruction
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MetaInv-NetMeta Inversion Network for Sparse View CT Image Reconstruction
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N2SSelf-Supervised Training For Low-Dose CT Reconstruction
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PDFCT Reconstruction With PDF: Parameter-Dependent Framework for Data From Multiple Geometries and Dose Levels
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SinoNetNoise-Generating-Mechanism-Driven Unsupervised Learning for Low-Dose CT Sinogram Recovery
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SPECIALSingle-Shot Projection Error Correction Integrated Adversarial Learning for Limited-Angle CT
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SUPERUnified Supervised-Unsupervised (SUPER) Learning for X-ray CT Image Reconstruction
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Tensor-NetLearning to Reconstruct CT Images From the VVBP-Tensor
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2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network
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A review on deep learning in medical image reconstruction
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AirNetFused analytical and iterative reconstruction with deep neural network regularization for sparse-data CT
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CADLNoise and spatial resolution properties of a commercially available deep learning‐based CT reconstruction algorithm
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Deep learning based image reconstruction algorithm for limited-angle translational computed tomography
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DEERDeep efficient end-to-end reconstruction (DEER) network for few-view breast CT image reconstruction
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DIPComputed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
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DL-CT-RevDeep Learning for Tomographic Image Reconstruction
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DL-InvProbDeep Learning Techniques for Inverse Problems in Imaging
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DLMIRDeep learning methods for image reconstruction from angularly sparse data for CT and SAR imaging
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EDCNNEdge Enhancement-Based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
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ETEDNAn End-to-End Deep Network for Reconstructing CT Images Directly From Sparse Sinograms
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FSTensorFull-spectrum-knowledge-aware tensor model for energy-resolved CT iterative reconstruction
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HD-CNNArtifact removal using a hybrid-domain convolutional neural network for limited-angle computed tomography imaging
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HDNetHybrid-domain neural network processing for sparse-view CT reconstruction
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iRadonMAPRadon Inversion via Deep Learning
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Learned convex regularizers for inverse problems
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LRTPSpectral CT reconstruction via low-rank representation and region-specific texture preserving Markov random field regularization
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Momentum-NetFast and convergent iterative neural network for inverse problems
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Moreau-envelope-enhanced nonlocal shearlet transform and total variation for sparse-view CT reconstruction
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Multi-Scale Learned Iterative Reconstruction
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REDAEPRobust and Enhanced Denoising Autoencoding Prior for Sparse-View CT Reconstruction
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SACNNSelf-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network
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SISTERSpectral-Image Similarity-Based Tensor With Enhanced-Sparsity Reconstruction for Sparse-View Multi-Energy CT
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Sparse-view CT reconstruction based on multi-level wavelet convolution neural network
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Sparsity2DLImage Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning
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TomoGANLow-Dose Synchrotron X-Ray Tomography with Generative Adversarial Networks
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TVWFRSparse View CT Image Reconstruction Based on Total Variation and Wavelet Frame Regularization
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ℓ₀DLLimited-Angle X-Ray CT Reconstruction Using Image Gradient ℓ₀-Norm With Dictionary Learning
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A deep learning reconstruction framework for X-ray computed tomography with incomplete data
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ADMM-based deep reconstruction for limited-angle CT
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Convolutional Sparse Coding for Compressed Sensing CT Reconstruction
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CT-EvolutionThe Evolution of Image Reconstruction for CT: From Filtered Back Projection to Artificial Intelligence
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Cycle-Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography
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DataDrivenSolving Inverse Problems Using Data-Driven Models
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DNNSSDeep-neural-network-based sinogram synthesis for sparse-view CT image reconstruction
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Extreme Few-view CT Reconstruction using Deep Inference
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GAN-CIRCLECT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)
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iCTNetSinogram interpolation for sparse-view micro-CT with deep learning neural network
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Laminography in the lab: imaging planar objects using a conventional x-ray CT scanner
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Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography
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MAP-NNCompetitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction
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PDEA regional adaptive variational PDE model for computed tomography image reconstruction
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PSRVPatient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning
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Real-Time Scatter Estimation for Medical CT Using the Deep Scatter Estimation: Method and Robustness Analysis with Respect to Different Anatomies, Dose Levels, Tube Voltages, and Data Truncation
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SISVMLearning to Reconstruct Computed Tomography Images Directly From Sinogram Data Under A Variety of Data Acquisition Conditions
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SPARESparse-view reconstruction challenge for 4D cone-beam CT from a 1-min scan
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SPSSSharpness preserved sinogram synthesis using convolutional neural network for sparse-view CT imaging
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SPULTRALow-Dose CT Image Reconstruction with Joint Statistical and Learned Image Models
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SUPER-2SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction
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VVBP-tSVDVVBP-Tensor in the FBP Algorithm: Its Properties and Application in Low-Dose CT Reconstruction
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X2CT-GANReconstructing CT from Biplanar X-Rays with Generative Adversarial Networks
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3pADMMOptimizing a parameterized plug-and-play ADMM for iterative low-dose CT reconstruction
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Adversarial Sparse-View CBCT Artifact Reduction
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An Image Reconstruction Method Based on Total Variation and Wavelet Tight Frame for Limited-Angle CT
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AUTOMAPImage reconstruction by domain-transform manifold learning
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CNNRPGDCNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction
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Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear
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CPCE3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network
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CTNetLose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion
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DD-NetA Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution
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DLCTDeep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems
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DSEDeep Scatter Estimation (DSE): Feasibility of Using a Deep Convolutional Neural Network for Scatter Estimation in X-Ray Computed Tomography
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LEARNLearned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT
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LPDLearned Primal-Dual Reconstruction
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NLCTFNon-Local Low-Rank Cube-Based Tensor Factorization for Spectral CT Reconstruction
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PTPNIntelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning
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RADRegularization analysis and design for prior-image-based X-ray CT reconstruction
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SAGANSharpness-Aware Low Dose CT Denoising Using Conditional Generative Adversarial Network
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SMGANStructure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising
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Sparse-View CT Reconstruction Using Wasserstein GANs
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SSDALow-dose CT restoration via stacked sparse denoising autoencoders
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Statistical Image Reconstruction Using Mixed Poisson-Gaussian Noise Model for X-Ray CT
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TFU-NetFraming U-Net via Deep Convolutional Framelets - Application to Sparse-view CT
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WavResNetDeep Convolutional Framelet Denoising for Low-Dose CT via Wavelet Residual Network
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WGAN-VGGLow Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
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An improved statistical iterative algorithm for sparse-view and limited-angle CT image reconstruction
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Applications of nonlocal means algorithm in low-dose X-ray CT image processing and reconstruction: A review
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CNN-InvRevConvolutional Neural Networks for Inverse Problems in Imaging: A Review
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Coded aperture optimization in compressive X-ray tomography: a gradient descent approach
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Deep Convolutional Neural Network for Inverse Problems in Imaging
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DeepCNNA deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction
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Edge-preserving reconstruction from sparse projections of limited-angle computed tomography using L0-regularized gradient prior
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Generative Adversarial Networks for Noise Reduction in Low-Dose CT
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IMAP-TVRobust low-dose CT sinogram preprocessing via exploiting noise-generating mechanism
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KSAEIterative Low-dose CT Reconstruction with Priors Trained by Artificial Neural Network
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Low-dose CT via convolutional neural network
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Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization
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ReATVReweighted Anisotropic Total Variation Minimization for Limited-Angle CT Reconstruction
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RED-CNNLow-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network
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SENPLow‐dose CT reconstruction using spatially encoded nonlocal penalty
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VISSView-interpolation of sparsely sampled sinogram using convolutional neural network
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Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations
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MAR-4DecMetal Artifact Reduction in CT: Where Are We After Four Decades?
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SPIRDual energy CT with one full scan and a second sparse-view scan using structure preserving iterative reconstruction (SPIR)
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Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications
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Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty
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Tensor-based dictionary learning for dynamic tomographic reconstruction
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Image reconstruction from few views by L0-norm optimization
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LIVEA limited-angle intrafraction verification (LIVE) system for radiation therapy
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Low-dose X-ray computed tomography image reconstruction with a combined low-mAs and sparse-view protocol
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PBACPrior-based artifact correction (PBAC) in computed tomography
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Sparse-view computed laminography with a spherical sinusoidal scan for nondestructive testing
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TGVSparse-view x-ray CT reconstruction via total generalized variation regularization
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TV-StokesTotal Variation-Stokes Strategy for Sparse-View X-ray CT Image Reconstruction
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A technique for estimating 4D-CBCT using prior knowledge and limited-angle projections
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Artifact-resistant motion estimation with a patient-specific artifact model for motion-compensated cone-beam CT
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ATVA limited-angle CT reconstruction method based on anisotropic TV minimization
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Effects of sparse sampling schemes on image quality in low-dose CT
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Feature constrained compressed sensing CT image reconstruction from incomplete data via robust principal component analysis of the database
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Image reconstruction based on total-variation minimization and alternating direction method in linear scan computed tomography
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Iterative CT Reconstruction Using Shearlet-Based Regularization
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Iterative Image Reconstruction for Sparse-View CT Using Normal-Dose Image Induced Total Variation Prior
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Optimization-based image reconstruction from sparse-view data in offset-detector CBCT
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Sparse Tomography
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4D Cone Beam CT via Spatiotemporal Tensor Framelet
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AWTVAdaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction
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Comparison of image quality in computed laminography and tomography
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Few-view image reconstruction with dual dictionaries
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Low-Dose X-ray CT Reconstruction via Dictionary Learning
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A General Framework and Review of Scatter Correction Methods in Cone-Beam CT: Part 2 — Scatter Estimation Approaches
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Scatter-RevA General Framework and Review of Scatter Correction Methods in X-Ray Cone-Beam CT: Part 1 — Scatter Compensation Approaches
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Task-based performance analysis of FBP, SART and ML for digital breast tomosynthesis using signal CNR and Channelised Hotelling Observers
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An Investigation of 4D Cone-Beam CT Algorithms for Slowly Rotating Scanners
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Compressed sensing based cone-beam computed tomography reconstruction with a first-order method
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Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CT
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Tomographic Reconstruction in the 21st Century
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Directional View Interpolation for Compensation of Sparse Angular Sampling in Cone-Beam CT
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Few-View Projection Reconstruction With an Iterative Reconstruction-Reprojection Algorithm and TV Constraint
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On-the-Fly Motion-Compensated Cone-Beam CT Using an A Priori Model of the Respiratory Motion
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Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction?
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X-ray cargo container inspection system with few-view projection imaging
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A novel digital tomosynthesis (DTS) reconstruction method using a deformation field map
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Experimental Feasibility of Multi-Energy Photon-Counting K-Edge Imaging in Pre-Clinical Computed Tomography
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High Temporal Resolution and Streak-Free Four-Dimensional Cone-Beam Computed Tomography
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Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization
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PICCSPrior Image Constrained Compressed Sensing (PICCS): A Method to Accurately Reconstruct Dynamic CT Images from Highly Undersampled Projection Data Sets
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K-Edge Imaging in X-Ray Computed Tomography Using Multi-Bin Photon Counting Detectors
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Compressed sensing
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Efficient Monte Carlo Based Scatter Artifact Reduction in Cone-Beam Micro-CT
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K-SVDAn Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
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Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
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Scatter Correction Method for X-Ray CT Using Primary Modulation: Theory and Preliminary Results
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Respiratory Correlated Cone Beam CT
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Statistical Image Reconstruction for Polyenergetic X-Ray Computed Tomography
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An Iterative Maximum-Likelihood Polychromatic Algorithm for CT
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Cone-Beam Computed Tomography with a Flat-Panel Imager: Magnitude and Effects of X-Ray Scatter
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ROFNonlinear total variation based noise removal algorithms
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FDKPractical cone-beam algorithm
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SARTSimultaneous Algebraic Reconstruction Technique (SART): A superior implementation of the ART algorithm
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MLEMMaximum Likelihood Reconstruction for Emission Tomography
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Energy-Selective Reconstructions in X-Ray Computerised Tomography
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Shepp-LoganThe Fourier reconstruction of a head section
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Three-dimensional Reconstruction from Radiographs and Electron Micrographs: Application of Convolutions instead of Fourier Transforms
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Über die Bestimmung von Funktionen durch ihre Integralwerte längs gewisser Mannigfaltigkeiten (Johann Radon)
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Data says what a release contains: _proj + image_ has raw projections and a reference volume, so a forward model can be scored end to end; _projections_ has raw data only; _image_ is image-domain only and cannot test a projection model.