-
K-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs
Off-Grid Workshop·2026·能谱与双能 CT
-
3D Field of Junctions: A Noise-Robust, Training-Free Structural Prior for Volumetric Inverse Problems
ECCV·2026·自监督与免训练方法 · 稀疏视角 CT
-
Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction
ECCV·2026·高斯溅射 · 几何标定与运动补偿
-
Anatomy-preserving unpaired cone-beam CT refinement for image-guided radiotherapy using pseudo-label guided diffusion
预印本·2026·扩散与生成式先验 · 锥束 CT
-
At FullTilt: Real-Time Open-Set 3D Macromolecule Detection Directly from Tilted 2D Projections
NeurIPS·2026·其他主题
-
Balancing Efficiency and Restoration: Lightweight Mamba-Based Model for CT Metal Artifact Reduction
TRPMS·2026·金属伪影校正
-
CBCT-Based Synthetic CT Generation Using Conditional Flow Matching Model
预印本·2026·扩散与生成式先验 · 锥束 CT
-
CG-GLORE: A Conjugate Gradient-Based Global-Local Regularization Network for Sparse-View CT Reconstruction
BMVC·2026·稀疏视角 CT · 深度展开与模型驱动学习
-
Complex Wavelet-Based Sinogram Segmentation for Metal Artifact Reduction in Cone-Beam CT
PMB·2026·金属伪影校正 · 锥束 CT · 经典与迭代重建
-
Computed Tomography Reconstruction Algorithm Using Markov Random Field Model
J. Phys. Soc. Jpn.·2026·经典与迭代重建
-
Conditional Diffusion for 3D CT Volume Reconstruction from 2D X-rays
BMVC·2026·扩散与生成式先验
-
Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction
预印本·2026·扩散与生成式先验 · 几何标定与运动补偿 · 稀疏视角 CT
-
Cone-beam artifact reduction in Gamma Knife CBCT images using a line-arc-line scan trajectory
预印本·2026·几何标定与运动补偿 · 锥束 CT
-
Cone-Beam CT Image Quality Enhancement Using A Latent Diffusion Model Trained with Simulated CBCT Artifacts
预印本·2026·扩散与生成式先验 · 锥束 CT
-
Continuity-driven Synergistic Diffusion with Neural Priors for Ultra-Sparse-View CBCT Reconstruction
预印本·2026·扩散与生成式先验 · 稀疏视角 CT · 锥束 CT
-
Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT
TMI·2026·扩散与生成式先验 · 稀疏视角 CT · 经典与迭代重建
-
Cross-Modal Guidance for Fast Diffusion-Based Computed Tomography
ICASSP·2026·扩散与生成式先验
-
CryoDeRecA Supervised Multi-task Framework for Joint cryo-ET Restoration Enabled by Generative Physical Simulation
CVPR·2026·有限角层析 · 其他主题
-
DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction
AAAI·2026·隐式神经表示 · 扩散与生成式先验 · 稀疏视角 CT
-
DINRRegularizing INR with Diffusion Prior for Self-Supervised 3D Reconstruction of Neutron Computed Tomography Data
ICASSP·2026·隐式神经表示 · 扩散与生成式先验 · 自监督与免训练方法
-
DM4CTBenchmarking Diffusion Models for CT Reconstruction
ICLR·2026·扩散与生成式先验 · 综述与回顾
-
Dose-Aware Cold Diffusion with Physics Consistency for Generalizable Low-Dose CT Reconstruction
IJCNN·2026·扩散与生成式先验 · 低剂量 CT 去噪 · 深度展开与模型驱动学习
-
Dual-domain U-Nets with embedded back projection operators for motion-resolved 4D CBCT reconstruction
预印本·2026·动态与 4D CT · 锥束 CT · 深度展开与模型驱动学习
-
Dynamic Black-hole Emission Tomography with Physics-Informed Neural Fields
CVPR·2026·隐式神经表示 · 动态与 4D CT · 其他主题
-
Efficient Unrolled Networks for Large-Scale 3D Inverse Problems
CVPR·2026·深度展开与模型驱动学习 · 稀疏视角 CT
-
Equivariance2Inverse: A Practical Self-Supervised CT Reconstruction Method Benchmarked on Real, Limited-Angle, and Blurred Data
TCI·2026·有限角层析 · 自监督与免训练方法
-
Event-Based Sparse-View Background-Oriented Schlieren Tomography
ECCV·2026·稀疏视角 CT · 其他主题
-
Exact-GSMathematically Rigorous and Accurate 3D Gaussian Splatting for 3D X-Ray Reconstruction
CVPR·2026·高斯溅射 · 几何标定与运动补偿
-
FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting
ECCV·2026·高斯溅射
-
Field-of-View Extension in Dental Cone-Beam CT via Implicit Neural Representations and Diffusion Model-Based Refinement
MICAD·2026·隐式神经表示 · 扩散与生成式先验 · 锥束 CT
-
Foundation-VAEFoundation VAEs for 3D CT Reconstruction, Augmentation, and Generation
ICML·2026·低剂量 CT 去噪 · 扩散与生成式先验
-
From Sparse X-rays to 3D CT: Training-Free Reconstruction with Diffusion Priors
DGM4MICCAI·2026·扩散与生成式先验 · 稀疏视角 CT · 自监督与免训练方法
-
GB-SVFBP: Gaussian-Based Shift-Variant FBP neural network
预印本·2026·高斯溅射 · 几何标定与运动补偿 · 深度展开与模型驱动学习
-
Geometry-Aware Diffusion Approximate Posterior Sampling for Sparse-View and Limited-Angle CT
预印本·2026·扩散与生成式先验 · 几何标定与运动补偿 · 有限角层析
-
GH-NAFGrid-Adaptive Hash-Level-Attended Neural Attenuation Fields for Discrepancy-Aware CBCT
CVPR·2026·隐式神经表示 · 锥束 CT
-
GR-GaussianGraph-Based Radiative Gaussian Splatting for Sparse-View Tomography
TCI·2026·高斯溅射 · 稀疏视角 CT
-
H3D-MarNet: Wavelet-Guided Dual-Path Learning for Metal Artifact Suppression and CT Modality Transformation for Radiotherapy Workflows
ICPR·2026·金属伪影校正 · 锥束 CT · 经典与迭代重建
-
HARU-Net: Hybrid Attention Residual U-Net for Edge-Preserving Denoising in Cone-Beam Computed Tomography
预印本·2026·低剂量 CT 去噪 · 锥束 CT · 深度展开与模型驱动学习
-
High-Fidelity 3D Tooth Reconstruction by Fusing Intraoral Scans and CBCT Data via a Deep Implicit Representation
ISBI·2026·锥束 CT
-
High-Precision Image Reconstruction for Binary-Valued X-Ray CT From Limited-View Projections
TIM·2026·有限角层析 · 其他主题
-
HorusEyea self-supervised foundation model for generalizable X-ray tomography restoration
Nat Comput Sci·2026·自监督与免训练方法 · 其他主题
-
ILV: Iterative Latent Volumes for Fast and Accurate Sparse-View CT Reconstruction
预印本·2026·稀疏视角 CT
-
Integration of Spectral CT with PET and SPECT: Bringing Tissue Composition Information to Molecular Imaging
预印本·2026·能谱与双能 CT
-
ISCSImproving 2D Diffusion Models for 3D Medical Imaging with Inter-Slice Consistent Stochasticity
ICLR·2026·扩散与生成式先验 · 稀疏视角 CT
-
Joint-decoupled iterative CBCT reconstruction with hybrid scatter estimation and voxel-adaptive beam hardening correction
预印本·2026·散射校正 · 锥束 CT
-
KLIPLocalized Distribution Shift Detection via KL-Divergence with Diffusion Priors in Inverse Problems
CVPR·2026·扩散与生成式先验 · 稀疏视角 CT
-
Learning Where and What to Lift for Bi-planar X-ray-to-CT Reconstruction
预印本·2026·稀疏视角 CT · 深度展开与模型驱动学习
-
Leveraging Image Editing Foundation Models for Data-Efficient CT Metal Artifact Reduction
CVPRW·2026·金属伪影校正
-
Low-Level Dataset Distillation for Medical Image Enhancement
ECCV·2026·低剂量 CT 去噪
-
LUCID: Learned Undersampling-Adaptive Consistency-Guided Inference with Deterministic Flow Matching for Sparse-View CT Reconstruction
预印本·2026·扩散与生成式先验 · 稀疏视角 CT · 深度展开与模型驱动学习
-
MedGMAEGaussian Masked Autoencoders for Medical Volumetric Representation Learning
ICLR·2026·自监督与免训练方法 · 高斯溅射
-
MGMAR: Metal-Guided Metal Artifact Reduction for X-ray Computed Tomography
预印本·2026·金属伪影校正
-
NABNeural Adaptive Binning for Sparse-View CT Reconstruction
ICLR·2026·稀疏视角 CT · 隐式神经表示
-
Neuromorphic X-Ray Computed Tomography
ECCV·2026·其他主题
-
NGPSStructure-Preserving Self-Supervised Denoising via Neighbor-Guided Patch Sampling
ECCV·2026·自监督与免训练方法 · 锥束 CT
-
Non-circular scan trajectories for reducing cone-beam artifacts in Gamma Knife CBCT images: a simulation study
预印本·2026·锥束 CT
-
OpenProsA Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography
ICLR·2026·有限角层析 · 其他主题
-
Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction
ICML·2026·扩散与生成式先验 · 经典与迭代重建
-
Projection-Volume Fidelity Divergence: Diagnosing and Controlling Optimization Drift in Sparse-View 3D Gaussian Tomography
预印本·2026·高斯溅射 · 稀疏视角 CT
-
Radioactive 3D Gaussian Ray Tracing for Tomographic Reconstruction
预印本·2026·高斯溅射
-
RAMReconstruct Anything Model: A Lightweight General Model for Computational Imaging
ICLR·2026·深度展开与模型驱动学习
-
Revisiting Pose Sensitivity in Splat-based Computed Tomography under Sparse-view Reconstruction
CVPR·2026·高斯溅射 · 几何标定与运动补偿 · 稀疏视角 CT
-
RinerUnsupervised Multi-Parameter Inverse Solving for Reducing Ring Artifacts in 3D X-Ray CBCT
AAAI·2026·锥束 CT · 几何标定与运动补偿
-
Robustness and Stability Analysis of Differentiable Shift-Variant FBP for Cone-Beam CT under Challenging Acquisition Settings
MELBA·2026·几何标定与运动补偿 · 锥束 CT · 经典与迭代重建
-
Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction
预印本·2026·高斯溅射 · 稀疏视角 CT
-
Spectral Consistent Flow for One-Step 3D Medical Image Translation
ECCV·2026·扩散与生成式先验 · 锥束 CT
-
Splat-Based Metal Artifact Reduction in Cone-Beam CT via Compact Attenuation Modeling
CVPR·2026·高斯溅射 · 金属伪影校正 · 锥束 CT
-
Splat-based Metal Artifact Reduction in Cone-Beam CT via Polychromatic Modeling
CGF·2026·高斯溅射 · 金属伪影校正 · 锥束 CT
-
Texture-preserving implicit neural representation for Cone beam CT truncated reconstruction
预印本·2026·隐式神经表示 · 几何标定与运动补偿 · 锥束 CT
-
TG-Field: Geometry-Aware Radiative Gaussian Fields for Tomographic Reconstruction
AAAI·2026·高斯溅射 · 几何标定与运动补偿
-
Tomographic Sparse View Selection Using the View Covariance Loss
TPAMI·2026·稀疏视角 CT · 几何标定与运动补偿
-
Toward a Foundation Plug-and-Play Prior for Computed Tomography Reconstruction via a Multimodal Diffusion Model
SC Workshops·2026·扩散与生成式先验 · 深度展开与模型驱动学习
-
Toward CT-Equivalent Image Quality in Low-Dose Radiotherapy Planning: Conditional Diffusion-Based CBCT-to-CT Synthesis and the Impact of CBCT Input Representation
预印本·2026·扩散与生成式先验 · 低剂量 CT 去噪 · 锥束 CT
-
Towards reconstructing experimental sparse-view X-ray CT data with diffusion models
预印本·2026·扩散与生成式先验 · 稀疏视角 CT
-
Unsupervised Metal Artifact Reduction in Dental CBCT using Fine-tuned Cycle-Consistent Adversarial Networks
Digital·2026·金属伪影校正 · 自监督与免训练方法 · 锥束 CT
-
Variational Garrote for Sparse Inverse Problems
J. Comput. Sci.·2026·经典与迭代重建 · 稀疏视角 CT
-
VoDaSuReA Large-Scale Dataset Revealing Domain Shift in Volumetric Super-Resolution
CVPR·2026·其他主题
-
VoxelSynth3D: Interpretable Volumetric Image-Domain Metal Artifact Reduction with a Paired Synthetic CLINIC-Metal Benchmark
BHI·2026·金属伪影校正
-
XDen-1KA Density Field Dataset of Real-World Objects
ECCV·2026·稀疏视角 CT · 其他主题
-
3D CBCT Artefact Removal Using Perpendicular Score-Based Diffusion Models
DGM4MICCAI·2025·扩散与生成式先验 · 锥束 CT
-
4DGS-4DCBCTSpatiotemporal Gaussian Optimization for 4D Cone Beam CT Reconstruction from Sparsely Sampled Projections
预印本·2025·高斯溅射 · 动态与 4D CT · 锥束 CT
-
A CT Geometry With Multiple Centers Of Rotation For Solving Sparse View Problem
预印本·2025·几何标定与运动补偿 · 稀疏视角 CT
-
A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction
预印本·2025·锥束 CT · 深度展开与模型驱动学习
-
Accelerated Optimization of Implicit Neural Representations for CT Reconstruction
预印本·2025·隐式神经表示
-
Adaptive Diffusion Models for Sparse-View Motion-Corrected Head Cone-beam CT
TRPMS·2025·扩散与生成式先验 · 稀疏视角 CT · 锥束 CT
-
Advancing Limited-Angle CT Reconstruction Through Diffusion-Based Sinogram Completion
ICIP·2025·扩散与生成式先验 · 有限角层析
-
An Iterative Reconstruction Method for Dental Cone-Beam Computed Tomography with a Truncated Field of View
预印本·2025·几何标定与运动补偿 · 锥束 CT · 经典与迭代重建
-
An unsupervised sparse-view CT reconstruction framework using combination of iterative deep image prior and ADMM
Med Phys·2025·自监督与免训练方法 · 稀疏视角 CT
-
Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?
NeurIPS·2025·综述与回顾 · 稀疏视角 CT
-
Bigger Isn't Always Better: Towards a General Prior for Medical Image Reconstruction
GCPR·2025·扩散与生成式先验
-
CoCo-PnPLearning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Inverse Problems
NeurIPS·2025·深度展开与模型驱动学习 · 经典与迭代重建
-
Coordinate-Based Speed of Sound Recovery for Aberration-Corrected Photoacoustic Computed Tomography
ICCV·2025·隐式神经表示 · 其他主题
-
CvG-DiffCross-View Generalized Diffusion Model for Sparse-View CT Reconstruction
MICCAI·2025·稀疏视角 CT · 扩散与生成式先验
-
Data-Efficient Limited-Angle CT Using Deep Priors and Regularization
预印本·2025·有限角层析 · 深度展开与模型驱动学习
-
DenoMambaA Fused State-Space Model for Low-Dose CT Denoising
JBHI·2025·低剂量 CT 去噪
-
DGRDiscretized Gaussian Representation for Tomographic Reconstruction
ICCV·2025·高斯溅射
-
DiffNAFIterative Diffusion-Refined Neural Attenuation Fields for Multi-Source Stationary Tomography
预印本·2025·隐式神经表示 · 扩散与生成式先验
-
Diffusion-Based Limited-Angle CT Reconstruction under Noisy Conditions
ICIP·2025·扩散与生成式先验 · 有限角层析
-
DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model
MICCAI·2025·高斯溅射 · 动态与 4D CT · 锥束 CT
-
DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays
预印本·2025·扩散与生成式先验
-
End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT
PMB·2025·有限角层析 · 低剂量 CT 去噪 · 深度展开与模型驱动学习
-
Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration
CAIP·2025·几何标定与运动补偿 · 锥束 CT
-
Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment
预印本·2025·几何标定与运动补偿 · 锥束 CT
-
Epi-NAFEnhancing Neural Attenuation Fields for Limited-Angle CT with Epipolar Consistency
ISBI·2025·隐式神经表示 · 有限角层析 · 几何标定与运动补偿
-
Equivariant Conditional Diffusion Model for Head and Neck CT Image Synthesis from CBCT
Med Phys·2025·扩散与生成式先验 · 锥束 CT
-
Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT: From Simulated to Real Data
预印本·2025·锥束 CT · 深度展开与模型驱动学习
-
FIND-Net -- Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction
MICCAI·2025·金属伪影校正 · 深度展开与模型驱动学习
-
GANeXt: A Fully ConvNeXt-Enhanced Generative Adversarial Network for MRI- and CBCT-to-CT Synthesis
预印本·2025·扩散与生成式先验 · 锥束 CT · 深度展开与模型驱动学习
-
GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCT
ISBI·2025·锥束 CT
-
InsideOut: Integrated RGB-Radiative Gaussian Splatting for Comprehensive 3D Object Representation
ICCV·2025·高斯溅射
-
Investigating the effects of machine learning generalization for enhancing accuracy in fast X-ray computed tomography for industrial metrology
CIRP Annals·2025·稀疏视角 CT · 其他主题
-
Latent Space Consistency for Sparse-View CT Reconstruction
预印本·2025·稀疏视角 CT
-
Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction
Fully3D·2025·锥束 CT · 经典与迭代重建
-
Limited-Angle CBCT Reconstruction via Geometry-Integrated Cycle-domain Denoising Diffusion Probabilistic Models
预印本·2025·扩散与生成式先验 · 几何标定与运动补偿 · 有限角层析
-
Limited-angle SPECT image reconstruction using deep image prior
PMB·2025·有限角层析 · 自监督与免训练方法
-
Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine
npj Comput Mater·2025·有限角层析 · 其他主题
-
MInDI-3D: Iterative Deep Learning in 3D for Sparse-view Cone Beam Computed Tomography
预印本·2025·稀疏视角 CT · 锥束 CT · 深度展开与模型驱动学习
-
Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-View CT Reconstruction
TMI·2025·扩散与生成式先验 · 稀疏视角 CT
-
Modeling X-Ray Photon Pile-Up with a Normalizing Flow
NeurIPS Workshop·2025·能谱与双能 CT · 其他主题
-
MONSTR: Model-Oriented Neutron Strain Tomographic Reconstruction
预印本·2025·经典与迭代重建 · 其他主题
-
Motion-GradA Gradient-Based Approach to Fast and Accurate Head Motion Compensation in Cone-Beam CT
TMI·2025·几何标定与运动补偿 · 锥束 CT · 动态与 4D CT
-
Neural Discrete Representation Learning for Sparse-View CBCT Reconstruction: From Algorithm Design to Prospective Multicenter Clinical Evaluation
预印本·2025·稀疏视角 CT · 锥束 CT
-
Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction
Med Image Anal·2025·扩散与生成式先验 · 低剂量 CT 去噪
-
Nonperiodic dynamic CT reconstruction using backward-warping INR with regularization of diffeomorphism (BIRD)
预印本·2025·隐式神经表示 · 动态与 4D CT
-
Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction
预印本·2025·扩散与生成式先验 · 稀疏视角 CT
-
Physics-Inspired Gaussian Kolmogorov-Arnold Networks for X-ray Scatter Correction in Cone-Beam CT
预印本·2025·散射校正 · 锥束 CT
-
Prior-Adapted Progressive Time-Resolved CBCT Reconstruction Using a Dynamic Reconstruction and Motion Estimation Method
预印本·2025·动态与 4D CT · 几何标定与运动补偿 · 锥束 CT
-
Projection Embedded Diffusion Bridge for CT Reconstruction from Incomplete Data
预印本·2025·扩散与生成式先验 · 有限角层析
-
Recover Biological Structure from Sparse-View Diffraction Images with Neural Volumetric Prior
ICCV·2025·隐式神经表示 · 稀疏视角 CT · 其他主题
-
ReMAR-DS: Recalibrated Feature Learning for Metal Artifact Reduction and CT Domain Transformation
ICIAP·2025·金属伪影校正
-
Resolution-Agnostic Neural Operators for Multi-Rate Sparse-View CT
预印本·2025·稀疏视角 CT · 深度展开与模型驱动学习
-
SDBSystem-Embedded Diffusion Bridge Models
NeurIPS·2025·扩散与生成式先验 · 经典与迭代重建
-
Semantic contrastive learning for orthogonal X-ray computed tomography reconstruction
Fully3D·2025·稀疏视角 CT · 深度展开与模型驱动学习
-
SIRE-NetStructure-Integrated Refinement and Enhancement Network for Limited-Angle CT Reconstruction
TIM·2025·有限角层析
-
SpenerUnsupervised Self-Prior Embedding Neural Representation for Sparse-View CT Reconstruction
AAAI·2025·隐式神经表示 · 稀疏视角 CT · 自监督与免训练方法
-
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction
TMI·2025·扩散与生成式先验 · 稀疏视角 CT
-
Swap-NetA Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction to ICF Applications
TCI·2025·稀疏视角 CT · 锥束 CT
-
Synthetic CT image generation from CBCT: A Systematic Review
TRPMS·2025·锥束 CT · 综述与回顾
-
Time-resolved dynamic CBCT reconstruction using prior-model-free spatiotemporal Gaussian representation (PMF-STGR)
预印本·2025·高斯溅射 · 动态与 4D CT · 锥束 CT
-
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography
预印本·2025·散射校正 · 锥束 CT
-
Vol3DGSVolumetrically Consistent 3D Gaussian Rasterization
CVPR·2025·高斯溅射
-
When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-view CT
ISBI·2025·扩散与生成式先验 · 稀疏视角 CT
-
X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography
预印本·2025·高斯溅射 · 稀疏视角 CT
-
X2-Gaussian4D Radiative Gaussian Splatting for Continuous-Time Tomographic Reconstruction
ICCV·2025·高斯溅射 · 动态与 4D CT
-
XGenReconA New Perspective in Ultrasparse Volumetric CBCT Reconstruction Through Geometry-Controlled X-Ray Projection Generation
TRPMS·2025·稀疏视角 CT · 锥束 CT
-
Zero-shot CT Super-Resolution using Diffusion-based 2D Projection Priors and Signed 3D Gaussians
预印本·2025·高斯溅射 · 扩散与生成式先验 · 自监督与免训练方法
-
Zero-Shot Low-dose CT Denoising via Sinogram Flicking
预印本·2025·低剂量 CT 去噪 · 自监督与免训练方法
-
A Review of Deep Learning CT Reconstruction From Incomplete Projection Data
TRPMS·2024·综述与回顾 · 稀疏视角 CT · 有限角层析
-
BaggageCTFan-Beam CT Reconstruction for Unaligned Sparse-View X-Ray Baggage Data
预印本·2024·稀疏视角 CT · 几何标定与运动补偿
-
Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series
预印本·2024·经典与迭代重建
-
DIF-GaussianLearning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
MICCAI·2024·高斯溅射 · 稀疏视角 CT · 锥束 CT
-
DiffReconDiffusion Models for Medical Image Reconstruction
BJR|AI·2024·综述与回顾 · 扩散与生成式先验
-
DuDoDp-MARUnsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
TMI·2024·金属伪影校正 · 扩散与生成式先验 · 自监督与免训练方法
-
EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction
预印本·2024·深度展开与模型驱动学习 · 低剂量 CT 去噪
-
Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction
TRPMS·2024·扩散与生成式先验 · 稀疏视角 CT
-
How auto-differentiation can improve CT workflows: classical algorithms in a modern framework
Opt. Express·2024·经典与迭代重建 · 其他主题
-
INCODEImplicit Neural Conditioning with Prior Knowledge Embeddings
WACV·2024·隐式神经表示
-
INR-JointImplicit Neural Representations for Robust Joint Sparse-View CT Reconstruction
TMLR·2024·隐式神经表示 · 稀疏视角 CT
-
Machine learning based sinogram interpolation for X-ray computed tomography validated on experimental data
Precis. Eng.·2024·稀疏视角 CT · 其他主题
-
Machine learning in industrial X-ray computed tomography - a review
CIRP JMST·2024·综述与回顾 · 其他主题
-
Neural Field Regularization by Denoising for 3D Sparse-View X-Ray Computed Tomography
3DV·2024·隐式神经表示 · 稀疏视角 CT
-
Plug-and-Play Learned Proximal Trajectory for 3D Sparse-View X-Ray Computed Tomography
ECCV·2024·稀疏视角 CT · 深度展开与模型驱动学习
-
R2-GaussianRectifying Radiative Gaussian Splatting for Tomographic Reconstruction
NeurIPS·2024·高斯溅射 · 稀疏视角 CT
-
RBP-DIPResidual back projection with deep image prior for ill-posed CT reconstruction
Neural Netw.·2024·自监督与免训练方法 · 稀疏视角 CT
-
SAX-NeRFStructure-Aware Sparse-View X-Ray 3D Reconstruction
CVPR·2024·隐式神经表示 · 稀疏视角 CT
-
Scatter-DLScatter Correction Using Deep Learning for Cone-Beam Computed Tomography
DL4X-ray·2024·散射校正 · 锥束 CT
-
SOUL-NetA Sparse and Low-Rank Unrolling Network for Spectral CT Image Reconstruction
TNNLS·2024·能谱与双能 CT · 深度展开与模型驱动学习
-
SWORDStage-by-Stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction
TMI·2024·稀疏视角 CT · 扩散与生成式先验
-
Two-View Industrial CT Reconstruction Based on a Multiscale Conditional Latent Diffusion Network
TIM·2024·稀疏视角 CT · 扩散与生成式先验 · 其他主题
-
Wavelet-Improved Score-Based Generative Model for Medical Imaging
TMI·2024·扩散与生成式先验 · 稀疏视角 CT
-
X-GaussianRadiative Gaussian Splatting for Efficient X-Ray Novel View Synthesis
ECCV·2024·高斯溅射
-
3DIPSolving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models
CVPR·2023·扩散与生成式先验
-
ASCONAnatomy-Aware Supervised Contrastive Learning Framework for Low-Dose CT Denoising
MICCAI·2023·低剂量 CT 去噪
-
CTformerConvolution-Free Token2Token Dilated Vision Transformer for Low-Dose CT Denoising
PMB·2023·低剂量 CT 去噪
-
DADNDomain-adaptive denoising network for low-dose CT via noise estimation and transfer learning
Med Phys·2023·低剂量 CT 去噪
-
DDDMDual-Domain Diffusion Model for Sparse-View CT Reconstruction
预印本·2023·稀疏视角 CT · 扩散与生成式先验
-
DEARDeep Embedding-Attention-Refinement for Sparse-View CT Reconstruction
TIM·2023·稀疏视角 CT · 深度展开与模型驱动学习
-
DolceA Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction
ICCV·2023·有限角层析 · 扩散与生成式先验
-
Fast algorithms based on Empirical Interpolation Methods for selecting best projections in Sparse-View X-ray Computed Tomography using a priori information
NDT&E Int.·2023·稀疏视角 CT · 其他主题
-
FreeSeedFrequency-Band-Aware and Self-Guided Network for Sparse-View CT Reconstruction
MICCAI·2023·稀疏视角 CT · 深度展开与模型驱动学习
-
GGLFGradient-based geometry learning for fan-beam CT reconstruction
PMB·2023·几何标定与运动补偿
-
IRDSIterative reconstruction of low-dose CT based on differential sparse
BSPC·2023·低剂量 CT 去噪 · 经典与迭代重建
-
LEARN++Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT
TRPMS·2023·稀疏视角 CT · 深度展开与模型驱动学习
-
MDSTmulti-domain sparse-view CT reconstruction based on convolution and swin transformer
PMB·2023·稀疏视角 CT · 深度展开与模型驱动学习
-
PINERPrior-Informed Implicit Neural Representation Learning for Test-Time Adaptation in Sparse-View CT Reconstruction
WACV·2023·隐式神经表示 · 稀疏视角 CT · 自监督与免训练方法
-
PolynerUnsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
NeurIPS·2023·金属伪影校正 · 隐式神经表示 · 自监督与免训练方法
-
SemiMARSemi-Supervised Learning for CT Metal Artifact Reduction
JBHI·2023·金属伪影校正 · 自监督与免训练方法
-
Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data
TCI·2023·稀疏视角 CT · 锥束 CT
-
SPIE-DIRSelf-Prior Information Enhanced Deep Iterative Reconstruction Using Two Complementary Limited-Angle Scans for DECT
TIM·2023·稀疏视角 CT · 有限角层析 · 深度展开与模型驱动学习
-
SPQIStructure-preserving quality improvement of cone beam CT images using contrastive learning
CBM·2023·锥束 CT
-
Synergizing Physics/Model-based and Data-driven Methods for Low-Dose CT
IEEE SPM·2023·低剂量 CT 去噪
-
The realisation of fast X-ray computed tomography using a limited number of projection images for dimensional metrology
NDT&E Int.·2023·稀疏视角 CT · 其他主题
-
ACDNetAdaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
IJCAI·2022·金属伪影校正 · 深度展开与模型驱动学习
-
ACID-AStabilizing deep tomographic reconstruction - Part A. Hybrid framework and experimental results
Patterns·2022·深度展开与模型驱动学习 · 自监督与免训练方法
-
ACID-BStabilizing deep tomographic reconstruction - Part B. Convergence analysis and adversarial attacks
Patterns·2022·深度展开与模型驱动学习 · 自监督与免训练方法
-
An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction
TCI·2022·自监督与免训练方法 · 稀疏视角 CT
-
CCN-CLA content-noise complementary network with contrastive learning for low-dose computed tomography denoising
CBM·2022·低剂量 CT 去噪
-
CoCoDiff: A Contextual Conditional Diffusion Model for Low-dose CT Image Denoising
SPIE DXRT·2022·扩散与生成式先验 · 低剂量 CT 去噪
-
DDCLDual domain closed-loop learning for sparse-view CT reconstruction
ICIFXCT·2022·稀疏视角 CT · 深度展开与模型驱动学习
-
DESDGANA Dual-Encoder-Single-Decoder Based Low-Dose CT Denoising Network
JBHI·2022·低剂量 CT 去噪
-
DFDLMA Dataset-free Deep Learning Method for Low-Dose CT Image Reconstruction
Inverse Problems·2022·低剂量 CT 去噪 · 自监督与免训练方法
-
DGR-2An Unsupervised Reconstruction Method For Low-Dose CT Using Deep Generative Regularization Prior
BSPC·2022·低剂量 CT 去噪 · 自监督与免训练方法
-
DiffMedDiffusion Models for Medical Image Analysis: A Comprehensive Survey
预印本·2022·综述与回顾 · 扩散与生成式先验
-
DIORDeep Iterative Optimization-Based Residual-Learning for Limited-Angle CT Reconstruction
TMI·2022·有限角层析 · 深度展开与模型驱动学习
-
DREAM-NetDeep Residual Error Iterative Minimization Network for Sparse-View CT Reconstruction
TMI·2022·稀疏视角 CT · 深度展开与模型驱动学习
-
DU-GANGenerative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
TIM·2022·低剂量 CT 去噪
-
DuDoDR-NetDual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography
MedIA·2022·稀疏视角 CT · 金属伪影校正
-
DuDoTransDual-Domain Transformer for Sparse-View CT Reconstruction
MLMIR·2022·稀疏视角 CT · 深度展开与模型驱动学习
-
EASELIterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model
TRPMS·2022·扩散与生成式先验 · 低剂量 CT 去噪 · 经典与迭代重建
-
FONT-SIRFourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction
TMI·2022·能谱与双能 CT
-
GMM-unNetNoise Characteristics Modeled Unsupervised Network for Robust CT Image Reconstruction
TMI·2022·自监督与免训练方法
-
IDOL-NetAn Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
TRPMS·2022·金属伪影校正 · 深度展开与模型驱动学习
-
Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20× Speedup
预印本·2022·扩散与生成式先验 · 低剂量 CT 去噪
-
MALARMultiple Adversarial Learning based Angiography Reconstruction for Ultra-low-dose Contrast Medium CT
JBHI·2022·低剂量 CT 去噪
-
NAFNeural Attenuation Fields for Sparse-View CBCT Reconstruction
MICCAI·2022·隐式神经表示 · 锥束 CT · 稀疏视角 CT
-
PLANetLearning Projection Views for Sparse-View CT Reconstruction
ACM MM·2022·稀疏视角 CT
-
Review of high energy x-ray computed tomography for non-destructive dimensional metrology of large metallic advanced manufactured components
RoPP·2022·综述与回顾 · 其他主题
-
SNAFSparse-View CBCT Reconstruction with Neural Attenuation Fields
预印本·2022·隐式神经表示 · 锥束 CT · 稀疏视角 CT
-
UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography
预印本·2022·隐式神经表示
-
UNDIPSparse-view and limited-angle CT reconstruction with untrained networks and deep image prior
CMPB·2022·有限角层析 · 稀疏视角 CT · 自监督与免训练方法
-
ALPDAdversarially learned iterative reconstruction for imaging inverse problems
SSVM·2021·经典与迭代重建
-
CasRedSCANLimited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer
TMI·2021·有限角层析 · 深度展开与模型驱动学习
-
CD-NetComprehensive Domain Network With Spectral Complementary for DECT Sparse-View Reconstruction
TCI·2021·稀疏视角 CT · 能谱与双能 CT
-
CLEARComprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging
TMI·2021·低剂量 CT 去噪
-
DAN-NetDual-Domain Adaptive-Scaling Non-Local Network for CT Metal Artifact Reduction
MICCAI·2021·金属伪影校正 · 深度展开与模型驱动学习
-
DCTRDynamic CT Reconstruction From Limited Views With Implicit Neural Representations
ICCV·2021·隐式神经表示 · 动态与 4D CT · 有限角层析
-
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
JBHI·2021·低剂量 CT 去噪 · 深度展开与模型驱动学习
-
DRONEDual-Domain Residual-Based Optimization Network for Sparse-View CT Reconstruction
TMI·2021·稀疏视角 CT · 深度展开与模型驱动学习
-
DSigNetDownsampled Imaging Geometric Modeling for Accurate CT Reconstruction via Deep Learning
TMI·2021·几何标定与运动补偿 · 深度展开与模型驱动学习
-
FDMDegradation-Aware Deep Learning Framework for Sparse-View CT Reconstruction
Tomography·2021·稀疏视角 CT
-
FISTA-NetLearning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging
TMI·2021·深度展开与模型驱动学习 · 经典与迭代重建
-
InDuDoNetAn Interpretable Dual Domain Network for CT Metal Artifact Reduction
MICCAI·2021·金属伪影校正 · 深度展开与模型驱动学习
-
IntraTomoSelf-supervised Learning-based Tomography via Sinogram Synthesis and Prediction
ICCV·2021·自监督与免训练方法
-
Limited-Angle CT Reconstruction via the L1/L2 Minimization
SIAM J. Imaging Sci.·2021·有限角层析 · 经典与迭代重建
-
LMFILearnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction
MICCAI·2021·稀疏视角 CT
-
MAGICManifold and graph integrative convolutional network for low-dose CT reconstruction
TMI·2021·低剂量 CT 去噪
-
MAP-NNCompetitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction
Nat Mach Intell·2021·低剂量 CT 去噪
-
MetaInv-NetMeta Inversion Network for Sparse View CT Image Reconstruction
TMI·2021·稀疏视角 CT · 深度展开与模型驱动学习
-
N2SSelf-Supervised Training For Low-Dose Ct Reconstruction
ISBI·2021·低剂量 CT 去噪 · 自监督与免训练方法
-
PDFCT Reconstruction With PDF: Parameter-Dependent Framework for Data From Multiple Geometries and Dose Levels
TMI·2021·几何标定与运动补偿 · 深度展开与模型驱动学习
-
SinoNetNoise-Generating-Mechanism-Driven Unsupervised Learning for Low-Dose CT Sinogram Recovery
TRPMS·2021·低剂量 CT 去噪 · 自监督与免训练方法
-
SPECIALSingle-Shot Projection Error Correction Integrated Adversarial Learning for Limited-Angle CT
TCI·2021·有限角层析 · 深度展开与模型驱动学习
-
SUPERUnified Supervised-Unsupervised (SUPER) Learning for X-ray CT Image Reconstruction
TMI·2021·自监督与免训练方法
-
Tensor-NetLearning to Reconstruct CT Images From the VVBP-Tensor
TMI·2021·深度展开与模型驱动学习 · 经典与迭代重建
-
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network
预印本·2020·稀疏视角 CT
-
A review on deep learning in medical image reconstruction
JORSC·2020·综述与回顾 · 深度展开与模型驱动学习
-
AirNetFused analytical and iterative reconstruction with deep neural network regularization for sparse-data CT
Med Phys·2020·稀疏视角 CT · 深度展开与模型驱动学习
-
CADLNoise and spatial resolution properties of a commercially available deep learning‐based CT reconstruction algorithm
Med Phys·2020·低剂量 CT 去噪
-
Deep learning based image reconstruction algorithm for limited-angle translational computed tomography
PLoS One·2020·有限角层析
-
DEERDeep efficient end-to-end reconstruction (DEER) network for few-view breast CT image reconstruction
IEEE Access·2020·稀疏视角 CT
-
DIPComputed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
Inverse Problems·2020·自监督与免训练方法
-
DL-CT-RevDeep Learning for Tomographic Image Reconstruction
Nat Mach Intell·2020·综述与回顾
-
DL-InvProbDeep Learning Techniques for Inverse Problems in Imaging
IEEE JSAIT·2020·综述与回顾 · 深度展开与模型驱动学习
-
DLMIRDeep learning methods for image reconstruction from angularly sparse data for CT and SAR imaging
ASARI·2020·稀疏视角 CT
-
EDCNNEdge Enhancement-Based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
ICSP·2020·低剂量 CT 去噪
-
ETEDNAn End-to-End Deep Network for Reconstructing CT Images Directly From Sparse Sinograms
TCI·2020·稀疏视角 CT · 深度展开与模型驱动学习
-
FSTensorFull-spectrum-knowledge-aware tensor model for energy-resolved CT iterative reconstruction
TMI·2020·经典与迭代重建
-
HD-CNNArtifact removal using a hybrid-domain convolutional neural network for limited-angle computed tomography imaging
PMB·2020·有限角层析 · 深度展开与模型驱动学习
-
HDNetHybrid-domain neural network processing for sparse-view CT reconstruction
TRPMS·2020·稀疏视角 CT
-
iRadonMAPRadon Inversion via Deep Learning
TMI·2020·深度展开与模型驱动学习 · 经典与迭代重建
-
Learned convex regularizers for inverse problems
预印本·2020·经典与迭代重建 · 深度展开与模型驱动学习
-
Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency
预印本·2020·有限角层析 · 深度展开与模型驱动学习
-
LRTPSpectral CT reconstruction via low-rank representation and region-specific texture preserving Markov random field regularization
TMI·2020·能谱与双能 CT
-
Momentum-NetFast and convergent iterative neural network for inverse problems
TPAMI·2020·深度展开与模型驱动学习 · 经典与迭代重建
-
Moreau-envelope-enhanced nonlocal shearlet transform and total variation for sparse-view CT reconstruction
Meas. Sci. Technol.·2020·经典与迭代重建 · 稀疏视角 CT
-
Multi-Scale Learned Iterative Reconstruction
TCI·2020·深度展开与模型驱动学习 · 稀疏视角 CT
-
REDAEPRobust and Enhanced Denoising Autoencoding Prior for Sparse-View CT Reconstruction
TRPMS·2020·稀疏视角 CT · 低剂量 CT 去噪
-
SACNNSelf-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network
TMI·2020·低剂量 CT 去噪 · 自监督与免训练方法 · 深度展开与模型驱动学习
-
SISTERSpectral-Image Similarity-Based Tensor With Enhanced-Sparsity Reconstruction for Sparse-View Multi-Energy CT
TCI·2020·稀疏视角 CT · 能谱与双能 CT
-
Sparse-view CT reconstruction based on multi-level wavelet convolution neural network
Phys. Med.·2020·稀疏视角 CT
-
Sparsity2DLImage Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning
Proc. IEEE·2020·综述与回顾 · 经典与迭代重建
-
TVWFRSparse View CT Image Reconstruction Based on Total Variation and Wavelet Frame Regularization
IEEE Access·2020·稀疏视角 CT · 经典与迭代重建
-
ℓ₀DLLimited-Angle X-Ray CT Reconstruction Using Image Gradient ℓ₀-Norm With Dictionary Learning
TRPMS·2020·有限角层析
-
A deep learning reconstruction framework for X-ray computed tomography with incomplete data
PLoS One·2019·稀疏视角 CT · 有限角层析
-
ADMM-based deep reconstruction for limited-angle CT
PMB·2019·有限角层析 · 深度展开与模型驱动学习
-
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction
TMI·2019·稀疏视角 CT · 深度展开与模型驱动学习
-
CT-EvolutionThe Evolution of Image Reconstruction for CT: From Filtered Back Projection to Artificial Intelligence
Eur Radiol·2019·综述与回顾 · 经典与迭代重建
-
DataDrivenSolving Inverse Problems Using Data-Driven Models
Acta Numerica·2019·综述与回顾 · 经典与迭代重建
-
DL-PICCSAccurate and robust sparse-view angle CT image reconstruction using deep learning and prior image constrained compressed sensing (DL-PICCS)
Med Phys·2019·稀疏视角 CT · 经典与迭代重建
-
DNNSSDeep-neural-network-based sinogram synthesis for sparse-view CT image reconstruction
TRPMS·2019·稀疏视角 CT
-
Extreme Few-view CT Reconstruction using Deep Inference
预印本·2019·稀疏视角 CT
-
iCTNetSinogram interpolation for sparse-view micro-CT with deep learning neural network
SPIE MI·2019·稀疏视角 CT
-
Laminography in the lab: imaging planar objects using a conventional x-ray CT scanner
Meas. Sci. Technol.·2019·有限角层析 · 其他主题
-
Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography
Inverse Problems·2019·有限角层析 · 深度展开与模型驱动学习
-
PDEA regional adaptive variational PDE model for computed tomography image reconstruction
PR·2019·经典与迭代重建
-
PSRVPatient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning
Nat Biomed Eng·2019·稀疏视角 CT · 经典与迭代重建
-
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·散射校正
-
SISVMLearning to Reconstruct Computed Tomography Images Directly From Sinogram Data Under A Variety of Data Acquisition Conditions
TMI·2019·深度展开与模型驱动学习 · 经典与迭代重建
-
SPARESparse-view reconstruction challenge for 4D cone-beam CT from a 1-min scan
Med Phys·2019·稀疏视角 CT · 锥束 CT · 动态与 4D CT
-
SPSSSharpness preserved sinogram synthesis using convolutional neural network for sparse-view CT imaging
SPIE MI·2019·稀疏视角 CT · 深度展开与模型驱动学习
-
SPULTRALow-Dose CT Image Reconstruction with Joint Statistical and Learned Image Models
TMI·2019·低剂量 CT 去噪
-
SUPER-2SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction
ICCVW·2019·低剂量 CT 去噪 · 自监督与免训练方法
-
VVBP-tSVDVVBP-Tensor in the FBP Algorithm: Its Properties and Application in Low-Dose CT Reconstruction
TMI·2019·低剂量 CT 去噪 · 经典与迭代重建
-
3pADMMOptimizing a parameterized plug-and-play ADMM for iterative low-dose CT reconstruction
TMI·2018·低剂量 CT 去噪
-
An Image Reconstruction Method Based on Total Variation and Wavelet Tight Frame for Limited-Angle CT
IEEE Access·2018·有限角层析 · 经典与迭代重建
-
AUTOMAPImage reconstruction by domain-transform manifold learning
Nature·2018·深度展开与模型驱动学习 · 经典与迭代重建
-
CNNRPGDCNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction
TMI·2018·深度展开与模型驱动学习
-
CTNetLose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion
CVPR·2018·有限角层析
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DD-NetA Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution
TMI·2018·稀疏视角 CT · 深度展开与模型驱动学习
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DLCTDeep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems
TMI·2018·有限角层析
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DSEDeep Scatter Estimation (DSE): Feasibility of Using a Deep Convolutional Neural Network for Scatter Estimation in X-Ray Computed Tomography
SPIE MI·2018·散射校正 · 深度展开与模型驱动学习
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LEARNLearned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT
TMI·2018·深度展开与模型驱动学习
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LPDLearned Primal-Dual Reconstruction
TMI·2018·深度展开与模型驱动学习
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NLCTFNon-Local Low-Rank Cube-Based Tensor Factorization for Spectral CT Reconstruction
TMI·2018·能谱与双能 CT
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PTPNIntelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning
TMI·2018·经典与迭代重建 · 深度展开与模型驱动学习
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RADRegularization analysis and design for prior-image-based X-ray CT reconstruction
TMI·2018·经典与迭代重建
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SAGANSharpness-Aware Low Dose CT Denoising Using Conditional Generative Adversarial Network
JDI·2018·低剂量 CT 去噪
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SSDALow-dose CT restoration via stacked sparse denoising autoencoders
Neurocomputing·2018·低剂量 CT 去噪
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Statistical Image Reconstruction Using Mixed Poisson-Gaussian Noise Model for X-Ray CT
预印本·2018·经典与迭代重建 · 低剂量 CT 去噪
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TFU-NetFraming U-Net via Deep Convolutional Framelets - Application to Sparse-view CT
TMI·2018·稀疏视角 CT
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WavResNetDeep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network
TMI·2018·低剂量 CT 去噪
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WGAN-VGGLow Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
TMI·2018·低剂量 CT 去噪
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An improved statistical iterative algorithm for sparse-view and limited-angle CT image reconstruction
Sci. Rep.·2017·稀疏视角 CT · 有限角层析 · 经典与迭代重建
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Applications of nonlocal means algorithm in low-dose X-ray CT image processing and reconstruction: A review
Med Phys·2017·低剂量 CT 去噪 · 综述与回顾
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CNN-InvRevConvolutional Neural Networks for Inverse Problems in Imaging: A Review
IEEE SPM·2017·综述与回顾
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Coded aperture optimization in compressive X-ray tomography: a gradient descent approach
Opt. Express·2017·其他主题 · 稀疏视角 CT
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Deep Convolutional Neural Network for Inverse Problems in Imaging
TIP·2017·稀疏视角 CT · 低剂量 CT 去噪
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DeepCNNA deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction
Med Phys·2017·深度展开与模型驱动学习
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Edge-preserving reconstruction from sparse projections of limited-angle computed tomography using L0-regularized gradient prior
Rev. Sci. Instrum.·2017·有限角层析 · 稀疏视角 CT · 经典与迭代重建
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IMAP-TVRobust low-dose CT sinogram preprocessing via exploiting noise-generating mechanism
TMI·2017·低剂量 CT 去噪
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KSAEIterative Low-dose CT Reconstruction with Priors Trained by Artificial Neural Network
TMI·2017·低剂量 CT 去噪
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LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction (**Scientific Data**) -->
Scientific Data·2017·低剂量 CT 去噪
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Low-dose CT via convolutional neural network
BOE·2017·低剂量 CT 去噪
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Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization
TMI·2017·低剂量 CT 去噪 · 动态与 4D CT
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ReATVReweighted Anisotropic Total Variation Minimization for Limited-Angle CT Reconstruction
IEEE TNS·2017·有限角层析 · 经典与迭代重建
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RED-CNNLow-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network
TMI·2017·低剂量 CT 去噪
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SENPLow‐dose CT reconstruction using spatially encoded nonlocal penalty
Med Phys·2017·经典与迭代重建 · 低剂量 CT 去噪
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VISSView-interpolation of sparsely sampled sinogram using convolutional neural network
SPIE MI·2017·深度展开与模型驱动学习
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Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations
Neurocomputing·2016·低剂量 CT 去噪 · 动态与 4D CT
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MAR-4DecMetal Artifact Reduction in CT: Where Are We After Four Decades?
IEEE Access·2016·综述与回顾 · 金属伪影校正
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SPIRDual energy CT with one full scan and a second sparse-view scan using structure preserving iterative reconstruction (SPIR)
PMB·2016·稀疏视角 CT · 能谱与双能 CT
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Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications
Radiology·2015·能谱与双能 CT · 综述与回顾
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Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty
TMI·2015·稀疏视角 CT · 能谱与双能 CT
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Tensor-based dictionary learning for dynamic tomographic reconstruction
PMB·2015·动态与 4D CT · 稀疏视角 CT
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Image reconstruction from few views by L0-norm optimization
Chinese Phys. B·2014·稀疏视角 CT · 经典与迭代重建
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LIVEA limited-angle intrafraction verification (LIVE) system for radiation therapy
Med Phys·2014·有限角层析 · 锥束 CT
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Low-dose X-ray computed tomography image reconstruction with a combined low-mAs and sparse-view protocol
Opt. Express·2014·低剂量 CT 去噪 · 稀疏视角 CT
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PBACPrior-based artifact correction (PBAC) in computed tomography
Med Phys·2014·金属伪影校正
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Sparse-view computed laminography with a spherical sinusoidal scan for nondestructive testing
Opt. Express·2014·稀疏视角 CT · 其他主题
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TGVSparse-view x-ray CT reconstruction via total generalized variation regularization
PMB·2014·稀疏视角 CT · 经典与迭代重建
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TV-StokesTotal Variation-Stokes Strategy for Sparse-View X-ray CT Image Reconstruction
TMI·2014·稀疏视角 CT · 经典与迭代重建
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A technique for estimating 4D-CBCT using prior knowledge and limited-angle projections
Med Phys·2013·有限角层析 · 动态与 4D CT · 锥束 CT
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Artifact-resistant motion estimation with a patient-specific artifact model for motion-compensated cone-beam CT
Med Phys·2013·几何标定与运动补偿 · 锥束 CT
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ATVA limited-angle CT reconstruction method based on anisotropic TV minimization
PMB·2013·有限角层析 · 经典与迭代重建
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Effects of sparse sampling schemes on image quality in low-dose CT
Med Phys·2013·稀疏视角 CT
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Feature constrained compressed sensing CT image reconstruction from incomplete data via robust principal component analysis of the database
PMB·2013·稀疏视角 CT · 经典与迭代重建
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Image reconstruction based on total-variation minimization and alternating direction method in linear scan computed tomography
Chinese Phys. B·2013·经典与迭代重建 · 稀疏视角 CT
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Iterative CT Reconstruction Using Shearlet-Based Regularization
IEEE TNS·2013·经典与迭代重建 · 稀疏视角 CT
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Iterative Image Reconstruction for Sparse-View CT Using Normal-Dose Image Induced Total Variation Prior
PLoS One·2013·稀疏视角 CT · 经典与迭代重建
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Optimization-based image reconstruction from sparse-view data in offset-detector CBCT
PMB·2013·稀疏视角 CT · 锥束 CT
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Sparse Tomography
SIAM J. Sci. Comput.·2013·稀疏视角 CT · 经典与迭代重建
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4D Cone Beam CT via Spatiotemporal Tensor Framelet
Med Phys·2012·动态与 4D CT
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AWTVAdaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction
PMB·2012·稀疏视角 CT · 低剂量 CT 去噪 · 经典与迭代重建
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Comparison of image quality in computed laminography and tomography
Opt. Express·2012·有限角层析 · 其他主题
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Few-view image reconstruction with dual dictionaries
PMB·2012·稀疏视角 CT · 经典与迭代重建
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Low-Dose X-ray CT Reconstruction via Dictionary Learning
TMI·2012·经典与迭代重建 · 低剂量 CT 去噪
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A General Framework and Review of Scatter Correction Methods in Cone-Beam CT: Part 2 — Scatter Estimation Approaches
Med Phys·2011·散射校正 · 综述与回顾
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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
Med Phys·2011·散射校正 · 综述与回顾 · 锥束 CT
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Task-based performance analysis of FBP, SART and ML for digital breast tomosynthesis using signal CNR and Channelised Hotelling Observers
Med Image Anal·2011·综述与回顾 · 经典与迭代重建 · 有限角层析
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An Investigation of 4D Cone-Beam CT Algorithms for Slowly Rotating Scanners
Med Phys·2010·动态与 4D CT
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Compressed sensing based cone-beam computed tomography reconstruction with a first-order method
Med Phys·2010·稀疏视角 CT · 锥束 CT · 经典与迭代重建
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Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CT
PMB·2010·稀疏视角 CT · 锥束 CT
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Tomographic Reconstruction in the 21st Century
IEEE SPM·2010·综述与回顾
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Directional View Interpolation for Compensation of Sparse Angular Sampling in Cone-Beam CT
TMI·2009·稀疏视角 CT · 锥束 CT
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Few-View Projection Reconstruction With an Iterative Reconstruction-Reprojection Algorithm and TV Constraint
IEEE TNS·2009·稀疏视角 CT · 经典与迭代重建
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On-the-Fly Motion-Compensated Cone-Beam CT Using an A Priori Model of the Respiratory Motion
Med Phys·2009·动态与 4D CT
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Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction?
Inverse Problems·2009·综述与回顾 · 经典与迭代重建
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X-ray cargo container inspection system with few-view projection imaging
NIMA·2009·稀疏视角 CT · 其他主题
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A novel digital tomosynthesis (DTS) reconstruction method using a deformation field map
Med Phys·2008·有限角层析 · 几何标定与运动补偿
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Experimental Feasibility of Multi-Energy Photon-Counting K-Edge Imaging in Pre-Clinical Computed Tomography
PMB·2008·能谱与双能 CT
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High Temporal Resolution and Streak-Free Four-Dimensional Cone-Beam Computed Tomography
PMB·2008·动态与 4D CT · 锥束 CT
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Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization
PMB·2008·经典与迭代重建 · 稀疏视角 CT · 锥束 CT
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PICCSPrior Image Constrained Compressed Sensing (PICCS): A Method to Accurately Reconstruct Dynamic CT Images from Highly Undersampled Projection Data Sets
Med Phys·2008·动态与 4D CT
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K-Edge Imaging in X-Ray Computed Tomography Using Multi-Bin Photon Counting Detectors
PMB·2007·能谱与双能 CT
-
Compressed sensing
IEEE TIT·2006·经典与迭代重建 · 稀疏视角 CT
-
Efficient Monte Carlo Based Scatter Artifact Reduction in Cone-Beam Micro-CT
TMI·2006·散射校正
-
K-SVDAn Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
IEEE TSP·2006·经典与迭代重建 · 低剂量 CT 去噪
-
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
IEEE TIT·2006·经典与迭代重建 · 稀疏视角 CT
-
Scatter Correction Method for X-Ray CT Using Primary Modulation: Theory and Preliminary Results
TMI·2006·散射校正
-
Respiratory Correlated Cone Beam CT
Med Phys·2005·动态与 4D CT · 锥束 CT
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Statistical Image Reconstruction for Polyenergetic X-Ray Computed Tomography
TMI·2002·能谱与双能 CT
-
An Iterative Maximum-Likelihood Polychromatic Algorithm for CT
TMI·2001·能谱与双能 CT
-
Cone-Beam Computed Tomography with a Flat-Panel Imager: Magnitude and Effects of X-Ray Scatter
Med Phys·2001·散射校正 · 锥束 CT
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ROFNonlinear total variation based noise removal algorithms
Physica D·1992·经典与迭代重建
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FDKPractical cone-beam algorithm
JOSA A·1984·经典与迭代重建 · 锥束 CT
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SARTSimultaneous Algebraic Reconstruction Technique (SART): A superior implementation of the ART algorithm
Ultrasonic Imaging·1984·经典与迭代重建
-
MLEMMaximum Likelihood Reconstruction for Emission Tomography
TMI·1982·经典与迭代重建
-
Energy-Selective Reconstructions in X-Ray Computerised Tomography
PMB·1976·能谱与双能 CT
-
Shepp-LoganThe Fourier reconstruction of a head section
IEEE TNS·1974·经典与迭代重建
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Three-dimensional Reconstruction from Radiographs and Electron Micrographs: Application of Convolutions instead of Fourier Transforms
PNAS·1971·经典与迭代重建
-
Über die Bestimmung von Funktionen durch ihre Integralwerte längs gewisser Mannigfaltigkeiten
Ber. Verh. Sächs. Akad. Wiss. Leipzig, Math.-Phys. Kl.·1917·经典与迭代重建