Limited-Angle Tomography
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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Limited-Angle Tomography
Team
- BISPL (Bio Imaging & Signal Processing Lab)
- CT Reconstruction Groups (Chen / Luo)
- X-ray Tomographic Imaging Group
Topic
Paper
- A deep learning reconstruction framework for X-ray computed tomography with incomplete data
- A novel digital tomosynthesis (DTS) reconstruction method using a deformation field map
- A Review of Deep Learning CT Reconstruction From Incomplete Projection Data
- A technique for estimating 4D-CBCT using prior knowledge and limited-angle projections
- ADMM-based deep reconstruction for limited-angle CT
- Advancing Limited-Angle CT Reconstruction Through Diffusion-Based Sinogram Completion
- AgenticCT
- An Image Reconstruction Method Based on Total Variation and Wavelet Tight Frame for Limited-Angle CT
- An improved statistical iterative algorithm for sparse-view and limited-angle CT image reconstruction
- ATV
- Cas-PRED
- CasRedSCAN
- Comparison of image quality in computed laminography and tomography
- CROSS
- CryoDeRec
- CTNet
- CTPretrain
- Data-Efficient Limited-Angle CT Using Deep Priors and Regularization
- DC-PnPDP
- DCTR
- Deep learning based image reconstruction algorithm for limited-angle translational computed tomography
- Deep microlocal reconstruction for limited-angle tomography
- Diffusion-Based Limited-Angle CT Reconstruction under Noisy Conditions
- DIOR
- DLCT
- Dolce
- Edge-preserving reconstruction from sparse projections of limited-angle computed tomography using L0-regularized gradient prior
- End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT
- Epi-NAF
- Equivariance2Inverse
- FDA-Recon
- FedM2CT
- Geometry-Aware Diffusion Approximate Posterior Sampling for Sparse-View and Limited-Angle CT
- HD-CNN
- High-Precision Image Reconstruction for Binary-Valued X-Ray CT From Limited-View Projections
- Laminography in the lab: imaging planar objects using a conventional x-ray CT scanner
- LARGE-DiffNet
- Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography
- Limited-Angle CBCT Reconstruction via Geometry-Integrated Cycle-domain Denoising Diffusion Probabilistic Models
- Limited-angle computed tomography with deep image and physics priors
- Limited-Angle CT Reconstruction via the L1/L2 Minimization
- Limited-angle SPECT image reconstruction using deep image prior
- Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine
- LIVE
- MJCNet
- MSDNet
- MsDu-Nets
- OpenPros
- ProCT
- Projection Embedded Diffusion Bridge for CT Reconstruction from Incomplete Data
- ReATV
- Sam's Net
- SEA-Net
- SIRE-Net
- SPEAR-Net
- SPECIAL
- SPIE-DIR
- TAMP
- Task-based performance analysis of FBP, SART and ML for digital breast tomosynthesis using signal CNR and Channelised Hotelling Observers
- TIME-Net
- Tiny a priori knowledge solves the interior problem in computed tomography
- U-Swin
- UNDIP
- Wavelet-Consistent Diffusion Posterior Sampling for Limited-Angle and Sparse CT
- ℓ₀DL
Toolkit
Dataset
Benchmark
Author
- Aggelos K. Katsaggelos
- Chengxiang Wang
- Chunfeng Yang
- Dianlin Hu
- Dong Liang
- F.-F. Yin
- Ge Wang
- Gouenou Coatrieux
- Guotao Quan
- Hairong Zheng
- Hongming Shan
- Hyojin Kim
- Jean-Louis Coatrieux
- Jin Liu
- K. Aditya Mohan
- Kyle Champley
- Lei Ren
- Qiegen Liu
- Rushil Anirudh
- Shipeng Xie
- Shouhua Luo
- Tianling Lyu
- Wenjun Xia
- Xu Ji
- Yan Xi
- Yang Chen
- Yi Zhang
- Yikun Zhang
- You Zhang
- Zhanli Hu
- Zhiqiang Chen