稀疏视角 CT
本主题下的论文、它们使用的数据集、聚焦该主题的团队、归入该主题的工具包，以及在此发表多篇论文的作者。点选任意节点查看它的连接。
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稀疏视角 CT
研究团队
- BISPL (Bio Imaging & Signal Processing Lab)
- Bouman 课题组
- UW CT 实验室
- WANG-AXIS 实验室 / 生物医学成像中心
- X 射线断层成像课题组
- XMed 实验室
- 东南大学 CT 重建组（陈阳 / 罗守华）
- 剑桥大学计算图像分析组
- 瑞典皇家理工学院 Öktem 课题组
- 里昂 CREATIS 层析重建组
- 阿姆斯特丹 CWI 计算成像组
主题
论文
- 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
工具包
数据集
基准
作者
- 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