Sparse-View 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.
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Sparse-View CT
Team
- BISPL (Bio Imaging & Signal Processing Lab)
- Bouman Group
- Computational Image Analysis (CIA) Group
- Computational Imaging Group
- CREATIS Tomographic Reconstruction Group
- CT Reconstruction Groups (Chen / Luo)
- CT Research Group (UW CT Lab)
- Mathematical Imaging Group (Ozan Öktem)
- WANG-AXIS Lab / Biomedical Imaging Center (BIC)
- X-ray Tomographic Imaging Group
- XMed Lab
Topic
Paper
- 2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network
- 3D Field of Junctions: A Noise-Robust, Training-Free Structural Prior for Volumetric Inverse Problems
- A CT Geometry With Multiple Centers Of Rotation For Solving Sparse View Problem
- A deep learning reconstruction framework for X-ray computed tomography with incomplete data
- A dual-domain deep learning-based reconstruction method for fully 3D sparse data helical CT
- A fast iterative reconstruction method of sparse angle CT for cylindrical lithium battery
- A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging
- A Review of Deep Learning CT Reconstruction From Incomplete Projection Data
- AD-GS
- Adaptive Diffusion Models for Sparse-View Motion-Corrected Head Cone-beam CT
- ADMM
- Adversarial Sparse-View CBCT Artifact Reduction
- AgenticCT
- AirNet
- An Algorithm for Total Variation Minimization and Applications
- An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction
- An improved statistical iterative algorithm for sparse-view and limited-angle CT image reconstruction
- An unsupervised sparse-view CT reconstruction framework using combination of iterative deep image prior and ADMM
- Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?
- AWTV
- BaggageCT
- Bayesian Joint Reconstruction and Uncertainty Quantification for Limited-Data Multi-Contrast X-Ray CT
- C2RV
- CD-Net
- CG-GLORE
- Coded aperture optimization in compressive X-ray tomography: a gradient descent approach
- Compressed sensing
- Compressed sensing based cone-beam computed tomography reconstruction with a first-order method
- Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction
- Continuity-driven Synergistic Diffusion with Neural Priors for Ultra-Sparse-View CBCT Reconstruction
- Convolutional Sparse Coding for Compressed Sensing CT Reconstruction
- Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT
- CTO
- CTPretrain
- CvG-Diff
- DC-PnPDP
- DCDL-GS
- DD-Net
- DDCL
- DDDM
- DDSwinIR
- DEAR
- Deep Convolutional Neural Network for Inverse Problems in Imaging
- DeepSparse
- DEER
- Delta-Net
- DIF-Gaussian
- DIF-Net
- DiffNR
- DiffusionBlend
- DiffuX2CT
- Directional View Interpolation for Compensation of Sparse Angular Sampling in Cone-Beam CT
- DL-PICCS
- DLMIR
- DNNSS
- Do CNNs Solve the CT Inverse Problem?
- DPKA
- DREAM-Net
- DRONE
- DuDoDR-Net
- DuDoSwin
- DuDoTrans
- Edge-preserving reconstruction from sparse projections of limited-angle computed tomography using L0-regularized gradient prior
- Effects of sparse sampling schemes on image quality in low-dose CT
- Efficient Unrolled Networks for Large-Scale 3D Inverse Problems
- ETEDN
- Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CT
- Event-Based Sparse-View Background-Oriented Schlieren Tomography
- Extreme Few-view CT Reconstruction using Deep Inference
- Fast algorithms based on Empirical Interpolation Methods for selecting best projections in Sparse-View X-ray Computed Tomography using a priori information
- FDM
- Feature constrained compressed sensing CT image reconstruction from incomplete data via robust principal component analysis of the database
- FedM2CT
- Few-view image reconstruction with dual dictionaries
- Few-View Projection Reconstruction With an Iterative Reconstruction-Reprojection Algorithm and TV Constraint
- FISTA
- Flex-DD
- FORCE
- FreeSeed
- From Sparse X-rays to 3D CT: Training-Free Reconstruction with Diffusion Priors
- Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction
- Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction
- Geometry-Aware Diffusion Approximate Posterior Sampling for Sparse-View and Limited-Angle CT
- GR-Gaussian
- Gradient-Based Trajectory Optimisation over Continuous Poses for Sparse-View Cone-Beam CT
- HDNet
- iCTNet
- ILV
- Image reconstruction based on total-variation minimization and alternating direction method in linear scan computed tomography
- Image reconstruction from few views by L0-norm optimization
- Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization
- INR-Joint
- Investigating the effects of machine learning generalization for enhancing accuracy in fast X-ray computed tomography for industrial metrology
- ISCS
- ISTA
- Iterative CT Reconstruction Using Shearlet-Based Regularization
- Iterative Image Reconstruction for Sparse-View CT Using Normal-Dose Image Induced Total Variation Prior
- KLIP
- LAMA
- LamiGauss
- Latent Space Consistency for Sparse-View CT Reconstruction
- LCTfound
- LEARN++
- Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction
- Learning Where and What to Lift for Bi-planar X-ray-to-CT Reconstruction
- LINGO
- LMFI
- Low-dose X-ray computed tomography image reconstruction with a combined low-mAs and sparse-view protocol
- LUCID
- Machine learning based sinogram interpolation for X-ray computed tomography validated on experimental data
- MDST
- MedNeRF
- MEPNet
- MetaInv-Net
- MInDI-3D
- Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-View CT Reconstruction
- Moreau-envelope-enhanced nonlocal shearlet transform and total variation for sparse-view CT reconstruction
- MSDNet
- MSM/TomoTx
- Multi-Scale Learned Iterative Reconstruction
- Multi-Slice Fusion for Sparse-View and Limited-Angle 4D CT Reconstruction
- NAB
- NAF
- NeRP
- Neural Discrete Representation Learning for Sparse-View CBCT Reconstruction: From Algorithm Design to Prospective Multicenter Clinical Evaluation
- Neural Field Regularization by Denoising for 3D Sparse-View X-Ray Computed Tomography
- Noisier2Inverse
- Optimization-based image reconstruction from sparse-view data in offset-detector CBCT
- Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction
- OS-SART
- OX-NeRF
- Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction
- PhyDiCT
- PINER
- PLANet
- Plug-and-Play Learned Proximal Trajectory for 3D Sparse-View X-Ray Computed Tomography
- ProCT
- Projection-Volume Fidelity Divergence: Diagnosing and Controlling Optimization Drift in Sparse-View 3D Gaussian Tomography
- PSRV
- PWLS-SOM
- R2-Gaussian
- RBP-DIP
- RCL-Mamba
- Recover Biological Structure from Sparse-View Diffraction Images with Neural Volumetric Prior
- REDAEP
- Revisiting Pose Sensitivity in Splat-based Computed Tomography under Sparse-view Reconstruction
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- SAX-NeRF
- SCOPE
- ScoutCT-NET
- SDF
- Semantic contrastive learning for orthogonal X-ray computed tomography reconstruction
- Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction
- SISTER
- SNAF
- SPARE
- Sparse Tomography
- Sparse view tomographic reconstruction of elongated objects using learned primal-dual networks
- Sparse-view computed laminography with a spherical sinusoidal scan for nondestructive testing
- Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data
- Sparse-view CT reconstruction based on multi-level wavelet convolution neural network
- Sparse-View CT Reconstruction Using Wasserstein GANs
- Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty
- Spener
- SPIE-DIR
- SPIR
- SPSS
- SR-CNN
- STCNet
- Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction
- Swap-Net
- SWORD
- TAMP
- Tensor-based dictionary learning for dynamic tomographic reconstruction
- TFU-Net
- TGV
- The realisation of fast X-ray computed tomography using a limited number of projection images for dimensional metrology
- The Split Bregman Method for L1-Regularized Problems
- To recurse or not to recurse: a low-dose CT study
- Tomographic Sparse View Selection Using the View Covariance Loss
- TomoSelfDEQ
- TomoTransformer
- Towards reconstructing experimental sparse-view X-ray CT data with diffusion models
- TV-Stokes
- TVWFR
- Two-View Industrial CT Reconstruction Based on a Multiscale Conditional Latent Diffusion Network
- Two-view topogram-based anatomy-guided CT reconstruction for prospective risk minimization
- UFP-Net
- UNDIP
- UniMedIR
- UniSino
- Variational Garrote for Sparse Inverse Problems
- VFMINR
- Wavelet-Consistent Diffusion Posterior Sampling for Limited-Angle and Sparse CT
- Wavelet-Improved Score-Based Generative Model for Medical Imaging
- When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-view CT
- X-Field
- X-GRM
- X-ray cargo container inspection system with few-view projection imaging
- X2CT-GAN
- XDen-1K
- XGenRecon
Toolkit
Dataset
Benchmark
Author
- Ander Biguri
- Andreas Maier
- Dianlin Hu
- Emil Y. Sidky
- Ge Wang
- Hengyong Yu
- Hongjiang Wei
- Hongming Shan
- Jianhua Ma
- Jin Liu
- Jingyi Yu A
- Jong Chul Ye
- Lei Xing
- Li Zhang
- Liyue Shen
- Qiegen Liu
- Rongjun Ge
- Shanzhou Niu
- Weiwen Wu
- Wenjun Xia
- Xiaochuan Pan
- Xiaomeng Li
- Yang Chen
- Yi Zhang
- Yikun Zhang
- Yiqun Lin
- Yuxiang Xing
- Yuyao Zhang
- Zhaoying Bian
- Zhengrong Liang