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.
K-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs
Off-Grid Workshop · 2026· Spectral & Dual-Energy CT
3D Field of Junctions: A Noise-Robust, Training-Free Structural Prior for Volumetric Inverse Problems
ECCV · 2026· Self-Supervised & Untrained Methods · Sparse-View CT
Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction
ECCV · 2026· Gaussian Splatting · Geometry Calibration & Motion Compensation
Anatomy-preserving unpaired cone-beam CT refinement for image-guided radiotherapy using pseudo-label guided diffusion
preprint · 2026· Diffusion & Generative Priors · Cone-Beam CT
At FullTilt: Real-Time Open-Set 3D Macromolecule Detection Directly from Tilted 2D Projections
NeurIPS · 2026· Other Topics
Balancing Efficiency and Restoration: Lightweight Mamba-Based Model for CT Metal Artifact Reduction
TRPMS · 2026· Metal Artifact Reduction
CBCT-Based Synthetic CT Generation Using Conditional Flow Matching Model
preprint · 2026· Diffusion & Generative Priors · Cone-Beam CT
CG-GLORE: A Conjugate Gradient-Based Global-Local Regularization Network for Sparse-View CT Reconstruction
BMVC · 2026· Sparse-View CT · Deep Unrolling & Model-Based Learning
Complex Wavelet-Based Sinogram Segmentation for Metal Artifact Reduction in Cone-Beam CT
PMB · 2026· Metal Artifact Reduction · Cone-Beam CT · Classical & Iterative Reconstruction
Computed Tomography Reconstruction Algorithm Using Markov Random Field Model
J. Phys. Soc. Jpn. · 2026· Classical & Iterative Reconstruction
Conditional Diffusion for 3D CT Volume Reconstruction from 2D X-rays
BMVC · 2026· Diffusion & Generative Priors
Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction
preprint · 2026· Diffusion & Generative Priors · Geometry Calibration & Motion Compensation · Sparse-View CT
Cone-beam artifact reduction in Gamma Knife CBCT images using a line-arc-line scan trajectory
preprint · 2026· Geometry Calibration & Motion Compensation · Cone-Beam CT
Cone-Beam CT Image Quality Enhancement Using A Latent Diffusion Model Trained with Simulated CBCT Artifacts
preprint · 2026· Diffusion & Generative Priors · Cone-Beam CT
Continuity-driven Synergistic Diffusion with Neural Priors for Ultra-Sparse-View CBCT Reconstruction
preprint · 2026· Diffusion & Generative Priors · Sparse-View CT · Cone-Beam CT
Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT
TMI · 2026· Diffusion & Generative Priors · Sparse-View CT · Classical & Iterative Reconstruction
Cross-Modal Guidance for Fast Diffusion-Based Computed Tomography
ICASSP · 2026· Diffusion & Generative Priors
CryoDeRec A Supervised Multi-task Framework for Joint cryo-ET Restoration Enabled by Generative Physical Simulation
CVPR · 2026· Limited-Angle Tomography · Other Topics
DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction
AAAI · 2026· Implicit Neural Representations · Diffusion & Generative Priors · Sparse-View CT
DINR Regularizing INR with Diffusion Prior for Self-Supervised 3D Reconstruction of Neutron Computed Tomography Data
ICASSP · 2026· Implicit Neural Representations · Diffusion & Generative Priors · Self-Supervised & Untrained Methods
DM4CT Benchmarking Diffusion Models for CT Reconstruction
ICLR · 2026· Diffusion & Generative Priors · Surveys & Reviews
Dose-Aware Cold Diffusion with Physics Consistency for Generalizable Low-Dose CT Reconstruction
IJCNN · 2026· Diffusion & Generative Priors · Low-Dose CT Denoising · Deep Unrolling & Model-Based Learning
Dual-domain U-Nets with embedded back projection operators for motion-resolved 4D CBCT reconstruction
preprint · 2026· Dynamic & 4D CT · Cone-Beam CT · Deep Unrolling & Model-Based Learning
Dynamic Black-hole Emission Tomography with Physics-Informed Neural Fields
CVPR · 2026· Implicit Neural Representations · Dynamic & 4D CT · Other Topics
Efficient Unrolled Networks for Large-Scale 3D Inverse Problems
CVPR · 2026· Deep Unrolling & Model-Based Learning · Sparse-View CT
Equivariance2Inverse: A Practical Self-Supervised CT Reconstruction Method Benchmarked on Real, Limited-Angle, and Blurred Data
TCI · 2026· Limited-Angle Tomography · Self-Supervised & Untrained Methods
Event-Based Sparse-View Background-Oriented Schlieren Tomography
ECCV · 2026· Sparse-View CT · Other Topics
Exact-GS Mathematically Rigorous and Accurate 3D Gaussian Splatting for 3D X-Ray Reconstruction
CVPR · 2026· Gaussian Splatting · Geometry Calibration & Motion Compensation
FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting
ECCV · 2026· Gaussian Splatting
Field-of-View Extension in Dental Cone-Beam CT via Implicit Neural Representations and Diffusion Model-Based Refinement
MICAD · 2026· Implicit Neural Representations · Diffusion & Generative Priors · Cone-Beam CT
Foundation-VAE Foundation VAEs for 3D CT Reconstruction, Augmentation, and Generation
ICML · 2026· Low-Dose CT Denoising · Diffusion & Generative Priors
From Sparse X-rays to 3D CT: Training-Free Reconstruction with Diffusion Priors
DGM4MICCAI · 2026· Diffusion & Generative Priors · Sparse-View CT · Self-Supervised & Untrained Methods
GB-SVFBP: Gaussian-Based Shift-Variant FBP neural network
preprint · 2026· Gaussian Splatting · Geometry Calibration & Motion Compensation · Deep Unrolling & Model-Based Learning
Geometry-Aware Diffusion Approximate Posterior Sampling for Sparse-View and Limited-Angle CT
preprint · 2026· Diffusion & Generative Priors · Geometry Calibration & Motion Compensation · Limited-Angle Tomography
GH-NAF Grid-Adaptive Hash-Level-Attended Neural Attenuation Fields for Discrepancy-Aware CBCT
CVPR · 2026· Implicit Neural Representations · Cone-Beam CT
GR-Gaussian Graph-Based Radiative Gaussian Splatting for Sparse-View Tomography
TCI · 2026· Gaussian Splatting · Sparse-View CT
H3D-MarNet: Wavelet-Guided Dual-Path Learning for Metal Artifact Suppression and CT Modality Transformation for Radiotherapy Workflows
ICPR · 2026· Metal Artifact Reduction · Cone-Beam CT · Classical & Iterative Reconstruction
HARU-Net: Hybrid Attention Residual U-Net for Edge-Preserving Denoising in Cone-Beam Computed Tomography
preprint · 2026· Low-Dose CT Denoising · Cone-Beam CT · Deep Unrolling & Model-Based Learning
High-Fidelity 3D Tooth Reconstruction by Fusing Intraoral Scans and CBCT Data via a Deep Implicit Representation
ISBI · 2026· Cone-Beam CT
ILV: Iterative Latent Volumes for Fast and Accurate Sparse-View CT Reconstruction
preprint · 2026· Sparse-View CT
Integration of Spectral CT with PET and SPECT: Bringing Tissue Composition Information to Molecular Imaging
preprint · 2026· Spectral & Dual-Energy CT
ISCS Improving 2D Diffusion Models for 3D Medical Imaging with Inter-Slice Consistent Stochasticity
ICLR · 2026· Diffusion & Generative Priors · Sparse-View CT
Joint-decoupled iterative CBCT reconstruction with hybrid scatter estimation and voxel-adaptive beam hardening correction
preprint · 2026· Scatter Correction · Cone-Beam CT
KLIP Localized Distribution Shift Detection via KL-Divergence with Diffusion Priors in Inverse Problems
CVPR · 2026· Diffusion & Generative Priors · Sparse-View CT
Learning Where and What to Lift for Bi-planar X-ray-to-CT Reconstruction
preprint · 2026· Sparse-View CT · Deep Unrolling & Model-Based Learning
Leveraging Image Editing Foundation Models for Data-Efficient CT Metal Artifact Reduction
CVPRW · 2026· Metal Artifact Reduction
Low-Level Dataset Distillation for Medical Image Enhancement
ECCV · 2026· Low-Dose CT Denoising
LUCID: Learned Undersampling-Adaptive Consistency-Guided Inference with Deterministic Flow Matching for Sparse-View CT Reconstruction
preprint · 2026· Diffusion & Generative Priors · Sparse-View CT · Deep Unrolling & Model-Based Learning
MedGMAE Gaussian Masked Autoencoders for Medical Volumetric Representation Learning
ICLR · 2026· Self-Supervised & Untrained Methods · Gaussian Splatting
MGMAR: Metal-Guided Metal Artifact Reduction for X-ray Computed Tomography
preprint · 2026· Metal Artifact Reduction
NAB Neural Adaptive Binning for Sparse-View CT Reconstruction
ICLR · 2026· Sparse-View CT · Implicit Neural Representations
Neuromorphic X-Ray Computed Tomography
ECCV · 2026· Other Topics
NGPS Structure-Preserving Self-Supervised Denoising via Neighbor-Guided Patch Sampling
ECCV · 2026· Self-Supervised & Untrained Methods · Cone-Beam CT
Non-circular scan trajectories for reducing cone-beam artifacts in Gamma Knife CBCT images: a simulation study
preprint · 2026· Cone-Beam CT
OpenPros A Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography
ICLR · 2026· Limited-Angle Tomography · Other Topics
Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction
ICML · 2026· Diffusion & Generative Priors · Classical & Iterative Reconstruction
Projection-Volume Fidelity Divergence: Diagnosing and Controlling Optimization Drift in Sparse-View 3D Gaussian Tomography
preprint · 2026· Gaussian Splatting · Sparse-View CT
Radioactive 3D Gaussian Ray Tracing for Tomographic Reconstruction
preprint · 2026· Gaussian Splatting
RAM Reconstruct Anything Model: A Lightweight General Model for Computational Imaging
ICLR · 2026· Deep Unrolling & Model-Based Learning
Revisiting Pose Sensitivity in Splat-based Computed Tomography under Sparse-view Reconstruction
CVPR · 2026· Gaussian Splatting · Geometry Calibration & Motion Compensation · Sparse-View CT
Riner Unsupervised Multi-Parameter Inverse Solving for Reducing Ring Artifacts in 3D X-Ray CBCT
AAAI · 2026· Cone-Beam CT · Geometry Calibration & Motion Compensation
Robustness and Stability Analysis of Differentiable Shift-Variant FBP for Cone-Beam CT under Challenging Acquisition Settings
MELBA · 2026· Geometry Calibration & Motion Compensation · Cone-Beam CT · Classical & Iterative Reconstruction
Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction
preprint · 2026· Gaussian Splatting · Sparse-View CT
Spectral Consistent Flow for One-Step 3D Medical Image Translation
ECCV · 2026· Diffusion & Generative Priors · Cone-Beam CT
Splat-Based Metal Artifact Reduction in Cone-Beam CT via Compact Attenuation Modeling
CVPR · 2026· Gaussian Splatting · Metal Artifact Reduction · Cone-Beam CT
Splat-based Metal Artifact Reduction in Cone-Beam CT via Polychromatic Modeling
CGF · 2026· Gaussian Splatting · Metal Artifact Reduction · Cone-Beam CT
Texture-preserving implicit neural representation for Cone beam CT truncated reconstruction
preprint · 2026· Implicit Neural Representations · Geometry Calibration & Motion Compensation · Cone-Beam CT
TG-Field: Geometry-Aware Radiative Gaussian Fields for Tomographic Reconstruction
AAAI · 2026· Gaussian Splatting · Geometry Calibration & Motion Compensation
Toward a Foundation Plug-and-Play Prior for Computed Tomography Reconstruction via a Multimodal Diffusion Model
SC Workshops · 2026· Diffusion & Generative Priors · Deep Unrolling & Model-Based Learning
Toward CT-Equivalent Image Quality in Low-Dose Radiotherapy Planning: Conditional Diffusion-Based CBCT-to-CT Synthesis and the Impact of CBCT Input Representation
preprint · 2026· Diffusion & Generative Priors · Low-Dose CT Denoising · Cone-Beam CT
Towards reconstructing experimental sparse-view X-ray CT data with diffusion models
preprint · 2026· Diffusion & Generative Priors · Sparse-View CT
Unsupervised Metal Artifact Reduction in Dental CBCT using Fine-tuned Cycle-Consistent Adversarial Networks
Digital · 2026· Metal Artifact Reduction · Self-Supervised & Untrained Methods · Cone-Beam CT
Variational Garrote for Sparse Inverse Problems
J. Comput. Sci. · 2026· Classical & Iterative Reconstruction · Sparse-View CT
VoDaSuRe A Large-Scale Dataset Revealing Domain Shift in Volumetric Super-Resolution
CVPR · 2026· Other Topics
VoxelSynth3D: Interpretable Volumetric Image-Domain Metal Artifact Reduction with a Paired Synthetic CLINIC-Metal Benchmark
BHI · 2026· Metal Artifact Reduction
XDen-1K A Density Field Dataset of Real-World Objects
ECCV · 2026· Sparse-View CT · Other Topics
3D CBCT Artefact Removal Using Perpendicular Score-Based Diffusion Models
DGM4MICCAI · 2025· Diffusion & Generative Priors · Cone-Beam CT
4DGS-4DCBCT Spatiotemporal Gaussian Optimization for 4D Cone Beam CT Reconstruction from Sparsely Sampled Projections
preprint · 2025· Gaussian Splatting · Dynamic & 4D CT · Cone-Beam CT
A CT Geometry With Multiple Centers Of Rotation For Solving Sparse View Problem
preprint · 2025· Geometry Calibration & Motion Compensation · Sparse-View CT
A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction
preprint · 2025· Cone-Beam CT · Deep Unrolling & Model-Based Learning
Accelerated Optimization of Implicit Neural Representations for CT Reconstruction
preprint · 2025· Implicit Neural Representations
Adaptive Diffusion Models for Sparse-View Motion-Corrected Head Cone-beam CT
TRPMS · 2025· Diffusion & Generative Priors · Sparse-View CT · Cone-Beam CT
Advancing Limited-Angle CT Reconstruction Through Diffusion-Based Sinogram Completion
ICIP · 2025· Diffusion & Generative Priors · Limited-Angle Tomography
An Iterative Reconstruction Method for Dental Cone-Beam Computed Tomography with a Truncated Field of View
preprint · 2025· Geometry Calibration & Motion Compensation · Cone-Beam CT · Classical & Iterative Reconstruction
Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?
NeurIPS · 2025· Surveys & Reviews · Sparse-View CT
Bigger Isn't Always Better: Towards a General Prior for Medical Image Reconstruction
GCPR · 2025· Diffusion & Generative Priors
CoCo-PnP Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Inverse Problems
NeurIPS · 2025· Deep Unrolling & Model-Based Learning · Classical & Iterative Reconstruction
Coordinate-Based Speed of Sound Recovery for Aberration-Corrected Photoacoustic Computed Tomography
ICCV · 2025· Implicit Neural Representations · Other Topics
CvG-Diff Cross-View Generalized Diffusion Model for Sparse-View CT Reconstruction
MICCAI · 2025· Sparse-View CT · Diffusion & Generative Priors
Data-Efficient Limited-Angle CT Using Deep Priors and Regularization
preprint · 2025· Limited-Angle Tomography · Deep Unrolling & Model-Based Learning
DenoMamba A Fused State-Space Model for Low-Dose CT Denoising
JBHI · 2025· Low-Dose CT Denoising
DGR Discretized Gaussian Representation for Tomographic Reconstruction
ICCV · 2025· Gaussian Splatting
DiffNAF Iterative Diffusion-Refined Neural Attenuation Fields for Multi-Source Stationary Tomography
preprint · 2025· Implicit Neural Representations · Diffusion & Generative Priors
Diffusion-Based Limited-Angle CT Reconstruction under Noisy Conditions
ICIP · 2025· Diffusion & Generative Priors · Limited-Angle Tomography
DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model
MICCAI · 2025· Gaussian Splatting · Dynamic & 4D CT · Cone-Beam CT
DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays
preprint · 2025· Diffusion & Generative Priors
End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT
PMB · 2025· Limited-Angle Tomography · Low-Dose CT Denoising · Deep Unrolling & Model-Based Learning
Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration
CAIP · 2025· Geometry Calibration & Motion Compensation · Cone-Beam CT
Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment
preprint · 2025· Geometry Calibration & Motion Compensation · Cone-Beam CT
Epi-NAF Enhancing Neural Attenuation Fields for Limited-Angle CT with Epipolar Consistency
ISBI · 2025· Implicit Neural Representations · Limited-Angle Tomography · Geometry Calibration & Motion Compensation
Equivariant Conditional Diffusion Model for Head and Neck CT Image Synthesis from CBCT
Med Phys · 2025· Diffusion & Generative Priors · Cone-Beam CT
Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT: From Simulated to Real Data
preprint · 2025· Cone-Beam CT · Deep Unrolling & Model-Based Learning
FIND-Net -- Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction
MICCAI · 2025· Metal Artifact Reduction · Deep Unrolling & Model-Based Learning
GANeXt: A Fully ConvNeXt-Enhanced Generative Adversarial Network for MRI- and CBCT-to-CT Synthesis
preprint · 2025· Diffusion & Generative Priors · Cone-Beam CT · Deep Unrolling & Model-Based Learning
GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCT
ISBI · 2025· Cone-Beam CT
InsideOut: Integrated RGB-Radiative Gaussian Splatting for Comprehensive 3D Object Representation
ICCV · 2025· Gaussian Splatting
Latent Space Consistency for Sparse-View CT Reconstruction
preprint · 2025· Sparse-View CT
Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction
Fully3D · 2025· Cone-Beam CT · Classical & Iterative Reconstruction
Limited-Angle CBCT Reconstruction via Geometry-Integrated Cycle-domain Denoising Diffusion Probabilistic Models
preprint · 2025· Diffusion & Generative Priors · Geometry Calibration & Motion Compensation · Limited-Angle Tomography
Limited-angle SPECT image reconstruction using deep image prior
PMB · 2025· Limited-Angle Tomography · Self-Supervised & Untrained Methods
MInDI-3D: Iterative Deep Learning in 3D for Sparse-view Cone Beam Computed Tomography
preprint · 2025· Sparse-View CT · Cone-Beam CT · Deep Unrolling & Model-Based Learning
Modeling X-Ray Photon Pile-Up with a Normalizing Flow
NeurIPS Workshop · 2025· Spectral & Dual-Energy CT · Other Topics
MONSTR: Model-Oriented Neutron Strain Tomographic Reconstruction
preprint · 2025· Classical & Iterative Reconstruction · Other Topics
Motion-Grad A Gradient-Based Approach to Fast and Accurate Head Motion Compensation in Cone-Beam CT
TMI · 2025· Geometry Calibration & Motion Compensation · Cone-Beam CT · Dynamic & 4D CT
Neural Discrete Representation Learning for Sparse-View CBCT Reconstruction: From Algorithm Design to Prospective Multicenter Clinical Evaluation
preprint · 2025· Sparse-View CT · Cone-Beam CT
Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction
Med Image Anal · 2025· Diffusion & Generative Priors · Low-Dose CT Denoising
Nonperiodic dynamic CT reconstruction using backward-warping INR with regularization of diffeomorphism (BIRD)
preprint · 2025· Implicit Neural Representations · Dynamic & 4D CT
Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction
preprint · 2025· Diffusion & Generative Priors · Sparse-View CT
Physics-Inspired Gaussian Kolmogorov-Arnold Networks for X-ray Scatter Correction in Cone-Beam CT
preprint · 2025· Scatter Correction · Cone-Beam CT
Prior-Adapted Progressive Time-Resolved CBCT Reconstruction Using a Dynamic Reconstruction and Motion Estimation Method
preprint · 2025· Dynamic & 4D CT · Geometry Calibration & Motion Compensation · Cone-Beam CT
Projection Embedded Diffusion Bridge for CT Reconstruction from Incomplete Data
preprint · 2025· Diffusion & Generative Priors · Limited-Angle Tomography
Recover Biological Structure from Sparse-View Diffraction Images with Neural Volumetric Prior
ICCV · 2025· Implicit Neural Representations · Sparse-View CT · Other Topics
ReMAR-DS: Recalibrated Feature Learning for Metal Artifact Reduction and CT Domain Transformation
ICIAP · 2025· Metal Artifact Reduction
Resolution-Agnostic Neural Operators for Multi-Rate Sparse-View CT
preprint · 2025· Sparse-View CT · Deep Unrolling & Model-Based Learning
SDB System-Embedded Diffusion Bridge Models
NeurIPS · 2025· Diffusion & Generative Priors · Classical & Iterative Reconstruction
Semantic contrastive learning for orthogonal X-ray computed tomography reconstruction
Fully3D · 2025· Sparse-View CT · Deep Unrolling & Model-Based Learning
Spener Unsupervised Self-Prior Embedding Neural Representation for Sparse-View CT Reconstruction
AAAI · 2025· Implicit Neural Representations · Sparse-View CT · Self-Supervised & Untrained Methods
Synthetic CT image generation from CBCT: A Systematic Review
TRPMS · 2025· Cone-Beam CT · Surveys & Reviews
Time-resolved dynamic CBCT reconstruction using prior-model-free spatiotemporal Gaussian representation (PMF-STGR)
preprint · 2025· Gaussian Splatting · Dynamic & 4D CT · Cone-Beam CT
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography
preprint · 2025· Scatter Correction · Cone-Beam CT
Vol3DGS Volumetrically Consistent 3D Gaussian Rasterization
CVPR · 2025· Gaussian Splatting
When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-view CT
ISBI · 2025· Diffusion & Generative Priors · Sparse-View CT
X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography
preprint · 2025· Gaussian Splatting · Sparse-View CT
X2-Gaussian 4D Radiative Gaussian Splatting for Continuous-Time Tomographic Reconstruction
ICCV · 2025· Gaussian Splatting · Dynamic & 4D CT
Zero-shot CT Super-Resolution using Diffusion-based 2D Projection Priors and Signed 3D Gaussians
preprint · 2025· Gaussian Splatting · Diffusion & Generative Priors · Self-Supervised & Untrained Methods
Zero-Shot Low-dose CT Denoising via Sinogram Flicking
preprint · 2025· Low-Dose CT Denoising · Self-Supervised & Untrained Methods
BaggageCT Fan-Beam CT Reconstruction for Unaligned Sparse-View X-Ray Baggage Data
preprint · 2024· Sparse-View CT · Geometry Calibration & Motion Compensation
Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series
preprint · 2024· Classical & Iterative Reconstruction
DIF-Gaussian Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
MICCAI · 2024· Gaussian Splatting · Sparse-View CT · Cone-Beam CT
DiffRecon Diffusion Models for Medical Image Reconstruction
BJR|AI · 2024· Surveys & Reviews · Diffusion & Generative Priors
DuDoDp-MAR Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
TMI · 2024· Metal Artifact Reduction · Diffusion & Generative Priors · Self-Supervised & Untrained Methods
EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction
preprint · 2024· Deep Unrolling & Model-Based Learning · Low-Dose CT Denoising
Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction
TRPMS · 2024· Diffusion & Generative Priors · Sparse-View CT
INCODE Implicit Neural Conditioning with Prior Knowledge Embeddings
WACV · 2024· Implicit Neural Representations
INR-Joint Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction
TMLR · 2024· Implicit Neural Representations · Sparse-View CT
R2-Gaussian Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction
NeurIPS · 2024· Gaussian Splatting · Sparse-View CT
SAX-NeRF Structure-Aware Sparse-View X-Ray 3D Reconstruction
CVPR · 2024· Implicit Neural Representations · Sparse-View CT
Scatter-DL Scatter Correction Using Deep Learning for Cone-Beam Computed Tomography
DL4X-ray · 2024· Scatter Correction · Cone-Beam CT
SOUL-Net A Sparse and Low-Rank Unrolling Network for Spectral CT Image Reconstruction
TNNLS · 2024· Spectral & Dual-Energy CT · Deep Unrolling & Model-Based Learning
SWORD Stage-by-Stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction
TMI · 2024· Sparse-View CT · Diffusion & Generative Priors
X-Gaussian Radiative Gaussian Splatting for Efficient X-Ray Novel View Synthesis
ECCV · 2024· Gaussian Splatting
3DIP Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models
CVPR · 2023· Diffusion & Generative Priors
ASCON Anatomy-Aware Supervised Contrastive Learning Framework for Low-Dose CT Denoising
MICCAI · 2023· Low-Dose CT Denoising
CTformer Convolution-Free Token2Token Dilated Vision Transformer for Low-Dose CT Denoising
PMB · 2023· Low-Dose CT Denoising
DADN Domain-adaptive denoising network for low-dose CT via noise estimation and transfer learning
Med Phys · 2023· Low-Dose CT Denoising
DDDM Dual-Domain Diffusion Model for Sparse-View CT Reconstruction
preprint · 2023· Sparse-View CT · Diffusion & Generative Priors
FreeSeed Frequency-Band-Aware and Self-Guided Network for Sparse-View CT Reconstruction
MICCAI · 2023· Sparse-View CT · Deep Unrolling & Model-Based Learning
GGLF Gradient-based geometry learning for fan-beam CT reconstruction
PMB · 2023· Geometry Calibration & Motion Compensation
IRDS Iterative reconstruction of low-dose CT based on differential sparse
BSPC · 2023· Low-Dose CT Denoising · Classical & Iterative Reconstruction
PINER Prior-Informed Implicit Neural Representation Learning for Test-Time Adaptation in Sparse-View CT Reconstruction
WACV · 2023· Implicit Neural Representations · Sparse-View CT · Self-Supervised & Untrained Methods
Polyner Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
NeurIPS · 2023· Metal Artifact Reduction · Implicit Neural Representations · Self-Supervised & Untrained Methods
SemiMAR Semi-Supervised Learning for CT Metal Artifact Reduction
JBHI · 2023· Metal Artifact Reduction · Self-Supervised & Untrained Methods
SPQI Structure-preserving quality improvement of cone beam CT images using contrastive learning
CBM · 2023· Cone-Beam CT
Synergizing Physics/Model-based and Data-driven Methods for Low-Dose CT
IEEE SPM · 2023· Low-Dose CT Denoising
ACDNet Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
IJCAI · 2022· Metal Artifact Reduction · Deep Unrolling & Model-Based Learning
ACID-A Stabilizing deep tomographic reconstruction - Part A. Hybrid framework and experimental results
Patterns · 2022· Deep Unrolling & Model-Based Learning · Self-Supervised & Untrained Methods
ACID-B Stabilizing deep tomographic reconstruction - Part B. Convergence analysis and adversarial attacks
Patterns · 2022· Deep Unrolling & Model-Based Learning · Self-Supervised & Untrained Methods
CCN-CL A content-noise complementary network with contrastive learning for low-dose computed tomography denoising
CBM · 2022· Low-Dose CT Denoising
CoCoDiff: A Contextual Conditional Diffusion Model for Low-dose CT Image Denoising
SPIE DXRT · 2022· Diffusion & Generative Priors · Low-Dose CT Denoising
DDCL Dual domain closed-loop learning for sparse-view CT reconstruction
ICIFXCT · 2022· Sparse-View CT · Deep Unrolling & Model-Based Learning
DESDGAN A Dual-Encoder-Single-Decoder Based Low-Dose CT Denoising Network
JBHI · 2022· Low-Dose CT Denoising
DFDLM A Dataset-free Deep Learning Method for Low-Dose CT Image Reconstruction
Inverse Problems · 2022· Low-Dose CT Denoising · Self-Supervised & Untrained Methods
DGR-2 An Unsupervised Reconstruction Method For Low-Dose CT Using Deep Generative Regularization Prior
BSPC · 2022· Low-Dose CT Denoising · Self-Supervised & Untrained Methods
DiffMed Diffusion Models for Medical Image Analysis: A Comprehensive Survey
preprint · 2022· Surveys & Reviews · Diffusion & Generative Priors
DREAM-Net Deep Residual Error Iterative Minimization Network for Sparse-View CT Reconstruction
TMI · 2022· Sparse-View CT · Deep Unrolling & Model-Based Learning
DU-GAN Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
TIM · 2022· Low-Dose CT Denoising
DuDoTrans Dual-Domain Transformer for Sparse-View CT Reconstruction
MLMIR · 2022· Sparse-View CT · Deep Unrolling & Model-Based Learning
EASEL Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model
TRPMS · 2022· Diffusion & Generative Priors · Low-Dose CT Denoising · Classical & Iterative Reconstruction
FONT-SIR Fourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction
TMI · 2022· Spectral & Dual-Energy CT
GMM-unNet Noise Characteristics Modeled Unsupervised Network for Robust CT Image Reconstruction
TMI · 2022· Self-Supervised & Untrained Methods
IDOL-Net An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
TRPMS · 2022· Metal Artifact Reduction · Deep Unrolling & Model-Based Learning
Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20× Speedup
preprint · 2022· Diffusion & Generative Priors · Low-Dose CT Denoising
MALAR Multiple Adversarial Learning based Angiography Reconstruction for Ultra-low-dose Contrast Medium CT
JBHI · 2022· Low-Dose CT Denoising
NAF Neural Attenuation Fields for Sparse-View CBCT Reconstruction
MICCAI · 2022· Implicit Neural Representations · Cone-Beam CT · Sparse-View CT
PLANet Learning Projection Views for Sparse-View CT Reconstruction
ACM MM · 2022· Sparse-View CT
SNAF Sparse-View CBCT Reconstruction with Neural Attenuation Fields
preprint · 2022· Implicit Neural Representations · Cone-Beam CT · Sparse-View CT
UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography
preprint · 2022· Implicit Neural Representations
UNDIP Sparse-view and limited-angle CT reconstruction with untrained networks and deep image prior
CMPB · 2022· Limited-Angle Tomography · Sparse-View CT · Self-Supervised & Untrained Methods
ALPD Adversarially learned iterative reconstruction for imaging inverse problems
SSVM · 2021· Classical & Iterative Reconstruction
CasRedSCAN Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer
TMI · 2021· Limited-Angle Tomography · Deep Unrolling & Model-Based Learning
CLEAR Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging
TMI · 2021· Low-Dose CT Denoising
DAN-Net Dual-Domain Adaptive-Scaling Non-Local Network for CT Metal Artifact Reduction
MICCAI · 2021· Metal Artifact Reduction · Deep Unrolling & Model-Based Learning
DCTR Dynamic CT Reconstruction From Limited Views With Implicit Neural Representations
ICCV · 2021· Implicit Neural Representations · Dynamic & 4D CT · Limited-Angle Tomography
DeACNN Learning 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
JBHI · 2021· Low-Dose CT Denoising · Deep Unrolling & Model-Based Learning
DRONE Dual-Domain Residual-Based Optimization Network for Sparse-View CT Reconstruction
TMI · 2021· Sparse-View CT · Deep Unrolling & Model-Based Learning
DSigNet Downsampled Imaging Geometric Modeling for Accurate CT Reconstruction via Deep Learning
TMI · 2021· Geometry Calibration & Motion Compensation · Deep Unrolling & Model-Based Learning
FDM Degradation-Aware Deep Learning Framework for Sparse-View CT Reconstruction
Tomography · 2021· Sparse-View CT
FISTA-Net Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging
TMI · 2021· Deep Unrolling & Model-Based Learning · Classical & Iterative Reconstruction
InDuDoNet An Interpretable Dual Domain Network for CT Metal Artifact Reduction
MICCAI · 2021· Metal Artifact Reduction · Deep Unrolling & Model-Based Learning
IntraTomo Self-supervised Learning-based Tomography via Sinogram Synthesis and Prediction
ICCV · 2021· Self-Supervised & Untrained Methods
LMFI Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction
MICCAI · 2021· Sparse-View CT
MAGIC Manifold and graph integrative convolutional network for low-dose CT reconstruction
TMI · 2021· Low-Dose CT Denoising
MAP-NN Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction
Nat Mach Intell · 2021· Low-Dose CT Denoising
MetaInv-Net Meta Inversion Network for Sparse View CT Image Reconstruction
TMI · 2021· Sparse-View CT · Deep Unrolling & Model-Based Learning
N2S Self-Supervised Training For Low-Dose Ct Reconstruction
ISBI · 2021· Low-Dose CT Denoising · Self-Supervised & Untrained Methods
PDF CT Reconstruction With PDF: Parameter-Dependent Framework for Data From Multiple Geometries and Dose Levels
TMI · 2021· Geometry Calibration & Motion Compensation · Deep Unrolling & Model-Based Learning
SinoNet Noise-Generating-Mechanism-Driven Unsupervised Learning for Low-Dose CT Sinogram Recovery
TRPMS · 2021· Low-Dose CT Denoising · Self-Supervised & Untrained Methods
SUPER Unified Supervised-Unsupervised (SUPER) Learning for X-ray CT Image Reconstruction
TMI · 2021· Self-Supervised & Untrained Methods
Tensor-Net Learning to Reconstruct CT Images From the VVBP-Tensor
TMI · 2021· Deep Unrolling & Model-Based Learning · Classical & Iterative Reconstruction
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network
preprint · 2020· Sparse-View CT
A review on deep learning in medical image reconstruction
JORSC · 2020· Surveys & Reviews · Deep Unrolling & Model-Based Learning
CADL Noise and spatial resolution properties of a commercially available deep learning‐based CT reconstruction algorithm
Med Phys · 2020· Low-Dose CT Denoising
DEER Deep efficient end-to-end reconstruction (DEER) network for few-view breast CT image reconstruction
IEEE Access · 2020· Sparse-View CT
DIP Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
Inverse Problems · 2020· Self-Supervised & Untrained Methods
DL-CT-Rev Deep Learning for Tomographic Image Reconstruction
Nat Mach Intell · 2020· Surveys & Reviews
DL-InvProb Deep Learning Techniques for Inverse Problems in Imaging
IEEE JSAIT · 2020· Surveys & Reviews · Deep Unrolling & Model-Based Learning
DLMIR Deep learning methods for image reconstruction from angularly sparse data for CT and SAR imaging
ASARI · 2020· Sparse-View CT
EDCNN Edge Enhancement-Based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
ICSP · 2020· Low-Dose CT Denoising
ETEDN An End-to-End Deep Network for Reconstructing CT Images Directly From Sparse Sinograms
TCI · 2020· Sparse-View CT · Deep Unrolling & Model-Based Learning
FSTensor Full-spectrum-knowledge-aware tensor model for energy-resolved CT iterative reconstruction
TMI · 2020· Classical & Iterative Reconstruction
HD-CNN Artifact removal using a hybrid-domain convolutional neural network for limited-angle computed tomography imaging
PMB · 2020· Limited-Angle Tomography · Deep Unrolling & Model-Based Learning
HDNet Hybrid-domain neural network processing for sparse-view CT reconstruction
TRPMS · 2020· Sparse-View CT
iRadonMAP Radon Inversion via Deep Learning
TMI · 2020· Deep Unrolling & Model-Based Learning · Classical & Iterative Reconstruction
Learned convex regularizers for inverse problems
preprint · 2020· Classical & Iterative Reconstruction · Deep Unrolling & Model-Based Learning
Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency
preprint · 2020· Limited-Angle Tomography · Deep Unrolling & Model-Based Learning
LRTP Spectral CT reconstruction via low-rank representation and region-specific texture preserving Markov random field regularization
TMI · 2020· Spectral & Dual-Energy CT
Momentum-Net Fast and convergent iterative neural network for inverse problems
TPAMI · 2020· Deep Unrolling & Model-Based Learning · Classical & Iterative Reconstruction
REDAEP Robust and Enhanced Denoising Autoencoding Prior for Sparse-View CT Reconstruction
TRPMS · 2020· Sparse-View CT · Low-Dose CT Denoising
SACNN Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network
TMI · 2020· Low-Dose CT Denoising · Self-Supervised & Untrained Methods · Deep Unrolling & Model-Based Learning
Sparsity2DL Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning
Proc. IEEE · 2020· Surveys & Reviews · Classical & Iterative Reconstruction
TVWFR Sparse View CT Image Reconstruction Based on Total Variation and Wavelet Frame Regularization
IEEE Access · 2020· Sparse-View CT · Classical & Iterative Reconstruction
ℓ₀DL Limited-Angle X-Ray CT Reconstruction Using Image Gradient ℓ₀-Norm With Dictionary Learning
TRPMS · 2020· Limited-Angle Tomography
CT-Evolution The Evolution of Image Reconstruction for CT: From Filtered Back Projection to Artificial Intelligence
Eur Radiol · 2019· Surveys & Reviews · Classical & Iterative Reconstruction
DataDriven Solving Inverse Problems Using Data-Driven Models
Acta Numerica · 2019· Surveys & Reviews · Classical & Iterative Reconstruction
DL-PICCS Accurate and robust sparse-view angle CT image reconstruction using deep learning and prior image constrained compressed sensing (DL-PICCS)
Med Phys · 2019· Sparse-View CT · Classical & Iterative Reconstruction
DNNSS Deep-neural-network-based sinogram synthesis for sparse-view CT image reconstruction
TRPMS · 2019· Sparse-View CT
Extreme Few-view CT Reconstruction using Deep Inference
preprint · 2019· Sparse-View CT
iCTNet Sinogram interpolation for sparse-view micro-CT with deep learning neural network
SPIE MI · 2019· Sparse-View CT
PDE A regional adaptive variational PDE model for computed tomography image reconstruction
PR · 2019· Classical & Iterative Reconstruction
PSRV Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning
Nat Biomed Eng · 2019· Sparse-View CT · Classical & Iterative Reconstruction
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
Med Phys · 2019· Scatter Correction
SISVM Learning to Reconstruct Computed Tomography Images Directly From Sinogram Data Under A Variety of Data Acquisition Conditions
TMI · 2019· Deep Unrolling & Model-Based Learning · Classical & Iterative Reconstruction
SPSS Sharpness preserved sinogram synthesis using convolutional neural network for sparse-view CT imaging
SPIE MI · 2019· Sparse-View CT · Deep Unrolling & Model-Based Learning
SPULTRA Low-Dose CT Image Reconstruction with Joint Statistical and Learned Image Models
TMI · 2019· Low-Dose CT Denoising
SUPER-2 SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction
ICCVW · 2019· Low-Dose CT Denoising · Self-Supervised & Untrained Methods
VVBP-tSVD VVBP-Tensor in the FBP Algorithm: Its Properties and Application in Low-Dose CT Reconstruction
TMI · 2019· Low-Dose CT Denoising · Classical & Iterative Reconstruction
3pADMM Optimizing a parameterized plug-and-play ADMM for iterative low-dose CT reconstruction
TMI · 2018· Low-Dose CT Denoising
AUTOMAP Image reconstruction by domain-transform manifold learning
Nature · 2018· Deep Unrolling & Model-Based Learning · Classical & Iterative Reconstruction
CNNRPGD CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction
TMI · 2018· Deep Unrolling & Model-Based Learning
CTNet Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion
CVPR · 2018· Limited-Angle Tomography
DD-Net A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution
TMI · 2018· Sparse-View CT · Deep Unrolling & Model-Based Learning
DLCT Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems
TMI · 2018· Limited-Angle Tomography
DSE Deep Scatter Estimation (DSE): Feasibility of Using a Deep Convolutional Neural Network for Scatter Estimation in X-Ray Computed Tomography
SPIE MI · 2018· Scatter Correction · Deep Unrolling & Model-Based Learning
LEARN Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT
TMI · 2018· Deep Unrolling & Model-Based Learning
LPD Learned Primal-Dual Reconstruction
TMI · 2018· Deep Unrolling & Model-Based Learning
NLCTF Non-Local Low-Rank Cube-Based Tensor Factorization for Spectral CT Reconstruction
TMI · 2018· Spectral & Dual-Energy CT
PTPN Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning
TMI · 2018· Classical & Iterative Reconstruction · Deep Unrolling & Model-Based Learning
RAD Regularization analysis and design for prior-image-based X-ray CT reconstruction
TMI · 2018· Classical & Iterative Reconstruction
SAGAN Sharpness-Aware Low Dose CT Denoising Using Conditional Generative Adversarial Network
JDI · 2018· Low-Dose CT Denoising
Statistical Image Reconstruction Using Mixed Poisson-Gaussian Noise Model for X-Ray CT
preprint · 2018· Classical & Iterative Reconstruction · Low-Dose CT Denoising
TFU-Net Framing U-Net via Deep Convolutional Framelets - Application to Sparse-view CT
TMI · 2018· Sparse-View CT
WavResNet Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network
TMI · 2018· Low-Dose CT Denoising
WGAN-VGG Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
TMI · 2018· Low-Dose CT Denoising
CNN-InvRev Convolutional Neural Networks for Inverse Problems in Imaging: A Review
IEEE SPM · 2017· Surveys & Reviews
DeepCNN A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction
Med Phys · 2017· Deep Unrolling & Model-Based Learning
IMAP-TV Robust low-dose CT sinogram preprocessing via exploiting noise-generating mechanism
TMI · 2017· Low-Dose CT Denoising
KSAE Iterative Low-dose CT Reconstruction with Priors Trained by Artificial Neural Network
TMI · 2017· Low-Dose CT Denoising
LoDoPaB-CT , a benchmark dataset for low-dose computed tomography reconstruction (**Scientific Data**) -->
Scientific Data · 2017· Low-Dose CT Denoising
RED-CNN Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network
TMI · 2017· Low-Dose CT Denoising
SENP Low‐dose CT reconstruction using spatially encoded nonlocal penalty
Med Phys · 2017· Classical & Iterative Reconstruction · Low-Dose CT Denoising
VISS View-interpolation of sparsely sampled sinogram using convolutional neural network
SPIE MI · 2017· Deep Unrolling & Model-Based Learning
MAR-4Dec Metal Artifact Reduction in CT: Where Are We After Four Decades?
IEEE Access · 2016· Surveys & Reviews · Metal Artifact Reduction
Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications
Radiology · 2015· Spectral & Dual-Energy CT · Surveys & Reviews
4D Cone Beam CT via Spatiotemporal Tensor Framelet
Med Phys · 2012· Dynamic & 4D CT
A General Framework and Review of Scatter Correction Methods in Cone-Beam CT: Part 2 — Scatter Estimation Approaches
Med Phys · 2011· Scatter Correction · Surveys & Reviews
Scatter-Rev A General Framework and Review of Scatter Correction Methods in X-Ray Cone-Beam CT: Part 1 — Scatter Compensation Approaches
Med Phys · 2011· Scatter Correction · Surveys & Reviews · Cone-Beam CT
An Investigation of 4D Cone-Beam CT Algorithms for Slowly Rotating Scanners
Med Phys · 2010· Dynamic & 4D CT
On-the-Fly Motion-Compensated Cone-Beam CT Using an A Priori Model of the Respiratory Motion
Med Phys · 2009· Dynamic & 4D CT
Experimental Feasibility of Multi-Energy Photon-Counting K-Edge Imaging in Pre-Clinical Computed Tomography
PMB · 2008· Spectral & Dual-Energy CT
High Temporal Resolution and Streak-Free Four-Dimensional Cone-Beam Computed Tomography
PMB · 2008· Dynamic & 4D CT · Cone-Beam CT
PICCS Prior Image Constrained Compressed Sensing (PICCS): A Method to Accurately Reconstruct Dynamic CT Images from Highly Undersampled Projection Data Sets
Med Phys · 2008· Dynamic & 4D CT
K-Edge Imaging in X-Ray Computed Tomography Using Multi-Bin Photon Counting Detectors
PMB · 2007· Spectral & Dual-Energy CT
Efficient Monte Carlo Based Scatter Artifact Reduction in Cone-Beam Micro-CT
TMI · 2006· Scatter Correction
Scatter Correction Method for X-Ray CT Using Primary Modulation: Theory and Preliminary Results
TMI · 2006· Scatter Correction
Respiratory Correlated Cone Beam CT
Med Phys · 2005· Dynamic & 4D CT · Cone-Beam CT
Statistical Image Reconstruction for Polyenergetic X-Ray Computed Tomography
TMI · 2002· Spectral & Dual-Energy CT
An Iterative Maximum-Likelihood Polychromatic Algorithm for CT
TMI · 2001· Spectral & Dual-Energy CT
Cone-Beam Computed Tomography with a Flat-Panel Imager: Magnitude and Effects of X-Ray Scatter
Med Phys · 2001· Scatter Correction · Cone-Beam CT
Energy-Selective Reconstructions in X-Ray Computerised Tomography
PMB · 1976· Spectral & Dual-Energy CT
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