Cone-Beam CT
The papers in this topic, the datasets they use, the teams that focus on it, the toolkits assigned to it, and the authors with several papers here. Select any node to see its connections.
The interactive graph could not be loaded (JavaScript or the graph library is unavailable); the same entries are listed below as links.
Cone-Beam CT
Team
- APS Tomography Group
- Computational Image Analysis (CIA) Group
- CREATIS Tomographic Reconstruction Group
- I-STAR Lab (Imaging for Surgery, Therapy, and Radiology)
- LEAP Project, Lawrence Livermore National Laboratory
- Pattern Recognition Lab (LME)
- XMed Lab
Topic
Paper
- 3D CBCT Artefact Removal Using Perpendicular Score-Based Diffusion Models
- 3D-DLA
- 4DGS-4DCBCT
- A cone-beam reconstruction algorithm using shift-variant filtering and cone-beam backprojection
- A general cone-beam reconstruction algorithm
- A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction
- A technique for estimating 4D-CBCT using prior knowledge and limited-angle projections
- AD-GS
- Adaptive Diffusion Models for Sparse-View Motion-Corrected Head Cone-beam CT
- Adversarial Sparse-View CBCT Artifact Reduction
- An Inversion Formula for Cone-Beam Reconstruction
- An Iterative Reconstruction Method for Dental Cone-Beam Computed Tomography with a Truncated Field of View
- Anatomy-preserving unpaired cone-beam CT refinement for image-guided radiotherapy using pseudo-label guided diffusion
- Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images with Deep Learning -- A Review
- Artifact-resistant motion estimation with a patient-specific artifact model for motion-compensated cone-beam CT
- C2RV
- Cas-PRED
- CBCT-Based Synthetic CT Generation Using Conditional Flow Matching Model
- Complex Wavelet-Based Sinogram Segmentation for Metal Artifact Reduction in Cone-Beam CT
- Compressed sensing based cone-beam computed tomography reconstruction with a first-order method
- Cone-beam artifact reduction in Gamma Knife CBCT images using a line-arc-line scan trajectory
- Cone-Beam Computed Tomography with a Flat-Panel Imager: Magnitude and Effects of X-Ray Scatter
- Cone-Beam CT Image Quality Enhancement Using A Latent Diffusion Model Trained with Simulated CBCT Artifacts
- Continuity-driven Synergistic Diffusion with Neural Priors for Ultra-Sparse-View CBCT Reconstruction
- DeepSparse
- DIF-Gaussian
- DIF-Net
- Differentiated Backprojection Domain Deep Learning for Conebeam Artifact Removal
- DIGS
- Directional View Interpolation for Compensation of Sparse Angular Sampling in Cone-Beam CT
- DL-Recon
- Dual-AGNet
- Dual-domain U-Nets with embedded back projection operators for motion-resolved 4D CBCT reconstruction
- Efficient high cone-angle artifact reduction in circular cone-beam CT using deep learning with geometry-aware dimension reduction
- Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration
- Equivariant Conditional Diffusion Model for Head and Neck CT Image Synthesis from CBCT
- Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT: From Simulated to Real Data
- Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CT
- FDA-Recon
- FDK
- Field-of-View Extension in Dental Cone-Beam CT via Implicit Neural Representations and Diffusion Model-Based Refinement
- GANeXt
- Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction
- GH-NAF
- GLFC
- Gradient-Based Trajectory Optimisation over Continuous Poses for Sparse-View Cone-Beam CT
- H3D-MarNet
- HARU-Net
- High Temporal Resolution and Streak-Free Four-Dimensional Cone-Beam Computed Tomography
- High-Fidelity 3D Tooth Reconstruction by Fusing Intraoral Scans and CBCT Data via a Deep Implicit Representation
- Human-Guided Shade Artifact Suppression in CBCT-to-MDCT Translation via Schrödinger Bridge with Conditional Diffusion
- Image Reconstruction from Cone-Beam Projections: Necessary and Sufficient Conditions and Reconstruction Methods
- Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization
- Joint-decoupled iterative CBCT reconstruction with hybrid scatter estimation and voxel-adaptive beam hardening correction
- LARGE-DiffNet
- Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction
- LIVE
- Mathematical framework of cone beam 3D reconstruction via the first derivative of the Radon transform
- MInDI-3D
- MJCNet
- Model-Based Iterative Reconstruction with View-Dependent Detector Displacements for Cone-Beam CT
- Motion-Grad
- NAF
- Neural Discrete Representation Learning for Sparse-View CBCT Reconstruction: From Algorithm Design to Prospective Multicenter Clinical Evaluation
- NGPS
- Noise2Match
- Non-circular scan trajectories for reducing cone-beam artifacts in Gamma Knife CBCT images: a simulation study
- Optimal short scan convolution reconstruction for fan beam CT
- Optimization-based image reconstruction from sparse-view data in offset-detector CBCT
- Physics-Inspired Gaussian Kolmogorov-Arnold Networks for X-ray Scatter Correction in Cone-Beam CT
- PRAISE-Net
- PRIOR
- Prior-Adapted Progressive Time-Resolved CBCT Reconstruction Using a Dynamic Reconstruction and Motion Estimation Method
- Respiratory Correlated Cone Beam CT
- Riner
- Robustness and Stability Analysis of Differentiable Shift-Variant FBP for Cone-Beam CT under Challenging Acquisition Settings
- Scatter-DL
- Scatter-Rev
- SEA-Net
- Slice-wise reconstruction for low-dose cone-beam CT using a deep residual convolutional neural network
- SNAF
- SPARE
- Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data
- Spectral Consistent Flow for One-Step 3D Medical Image Translation
- Splat-Based Metal Artifact Reduction in Cone-Beam CT via Compact Attenuation Modeling
- Splat-based Metal Artifact Reduction in Cone-Beam CT via Polychromatic Modeling
- SPQI
- SR-CNN
- STCNet
- STINR
- Swap-Net
- Synthetic CT image generation from CBCT: A Systematic Review
- Texture-preserving implicit neural representation for cone-beam CT truncated reconstruction
- Theoretically Exact Filtered Backprojection-Type Inversion Algorithm for Spiral CT
- TIME-Net
- Time-resolved dynamic CBCT reconstruction using prior-model-free spatiotemporal Gaussian representation (PMF-STGR)
- Toward CT-Equivalent Image Quality in Low-Dose Radiotherapy Planning: Conditional Diffusion-Based CBCT-to-CT Synthesis and the Impact of CBCT Input Representation
- Truncation artifact reduction in cone-beam computed tomography scans using conditional generative diffusion models
- Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography
- Unsupervised Metal Artifact Reduction in Dental CBCT using Fine-tuned Cycle-Consistent Adversarial Networks
- X-Splat
- XGenRecon
Toolkit
Dataset
Benchmark
Author
- Alzahra Altalib
- Andreas Maier
- Chengze Ye
- Chunfeng Yang
- Daniel Barco
- Dianlin Hu
- Dinggang G. Shen
- Emil Y. Sidky
- F.-F. Yin
- Frank-Peter Schilling
- Gouenou Coatrieux
- Guang‐Hong Chen
- Hua‐Chieh Shao
- Inchul Kim
- Ivo Herzig
- Jan‐Jakob Sonke
- Jean-Louis Coatrieux
- Jeffrey A. Fessler
- Jeffrey H. Siewerdsen
- Kiseok Choi
- Lei Ren
- Linda-Sophie Schneider
- Marc Klasky
- Mareike Thies
- Min H. Kim
- Mingxuan Gu
- Pascal Paysan
- Qiegen Liu
- Shipeng Xie
- Siming Bayer
- Siyuan Mei
- Tianling Lyu
- Xiaochuan Pan
- Xiaomeng Li
- Xu Ji
- Yan Xi
- Yang Chen
- Yi Zhang
- Yikun Zhang
- Yinsheng Li
- Yipeng Sun
- Yiqun Lin
- You Zhang
- Zhan Wu