深度展开与基于模型的学习
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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深度展开与基于模型的学习
研究团队
主题
论文
- A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction
- A review on deep learning in medical image reconstruction
- ACDNet
- ACID-A
- ACID-B
- ADMM-based deep reconstruction for limited-angle CT
- AirNet
- AUTOMAP
- BCD-Net
- CasRedSCAN
- CG-GLORE
- CNNRPGD
- CoCo-PnP
- Convolutional Sparse Coding for Compressed Sensing CT Reconstruction
- CTO
- DAN-Net
- Data-Efficient Limited-Angle CT Using Deep Priors and Regularization
- DD-Net
- DDCL
- DDN-FM
- DeACNN
- DEAR
- DeepCNN
- DICDNet
- DIOR
- DL-InvProb
- Dose-Aware Cold Diffusion with Physics Consistency for Generalizable Low-Dose CT Reconstruction
- DREAM-Net
- DRONE
- DSE
- DSigNet
- Dual-domain U-Nets with embedded back projection operators for motion-resolved 4D CBCT reconstruction
- EAGLE
- Efficient Unrolled Networks for Large-Scale 3D Inverse Problems
- End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT
- Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT: From Simulated to Real Data
- ETEDN
- FIND-Net -- Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction
- FISTA-Net
- FreeSeed
- GB-SVFBP
- HARU-Net
- HD-CNN
- IDOL-Net
- InDuDoNet
- iRadonMAP
- Known Operator Learning Enables Constrained Projection Geometry Conversion: Parallel to Cone-Beam for Hybrid MR/X-Ray Imaging
- LAMA
- LEARN
- LEARN++
- Learned convex regularizers for inverse problems
- Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography
- Learning Where and What to Lift for Bi-planar X-ray-to-CT Reconstruction
- LPD
- LUCID
- MetaInv-Net
- MInDI-3D
- MoDL
- Momentum-Net
- Multi-Scale Learned Iterative Reconstruction
- OSCNet
- Plug-and-Play Learned Proximal Trajectory for 3D Sparse-View X-Ray Computed Tomography
- PTPN
- RAM
- SACNN
- Semantic contrastive learning for orthogonal X-ray computed tomography reconstruction
- SISVM
- SOUL-Net
- SPECIAL
- SPIE-DIR
- SPSS
- Tensor-Net
- Toward a Foundation Plug-and-Play Prior for Computed Tomography Reconstruction via a Multimodal Diffusion Model
- VISS
工具包
- DeepInverse
- diffct
- Learned Gradient Tomography
- Learned Primal-Dual
- LION
- MIRTorch
- PYRO-NN
- tomosipo
- torch-radon
数据集
基准
作者
- Amirkoushyar Ziabari
- Andreas Maier
- Chuang Niu
- Daniel Barco
- Deyu Meng
- Dianlin Hu
- Dong Liang
- Dong Zeng
- Frank-Peter Schilling
- Ge Wang
- Guotao Quan
- Haimiao Zhang
- Hairong Zheng
- Hengyong Yu
- Hong Wang
- Hongming Shan
- Hu Chen
- Huaiqiang Sun
- Ivo Herzig
- Jeffrey A. Fessler
- Ji He
- Jianhua Ma
- Jiliu Zhou
- Jin Liu
- Kai Ma
- Linda-Sophie Schneider
- Mareike Thies
- Obaidullah Rahman
- Ozan Öktem
- Pascal Paysan
- Pingkun Yan
- Romain Vo
- Shaoyu Wang
- Shouhua Luo
- Tao Wang
- Varut Vardhanabhuti
- Weiwen Wu
- Wenjun Xia
- Wenxiang Cong
- Xi Tao
- Yan Liu
- Yang Chen
- Yefeng Zheng
- Yi Zhang
- Yikun Zhang
- Yipeng Sun
- Yongbo Wang
- Yongqiang Huang
- Yuexiang Li
- Zexin Lu
- Zhanli Hu
- Ziyuan Yang