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CT Reconstruction

Papers

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Showing 201–235 of 235 papers

TitleStatusHype
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial NetworksCode0
A Splitting-Based Iterative Algorithm for GPU-Accelerated Statistical Dual-Energy X-Ray CT Reconstruction—0
PYRO-NN: Python Reconstruction Operators in Neural NetworksCode0
Deep Learning Based Computed Tomography Whys and Wherefores—0
Controlling Neural Networks via Energy Dissipation—0
X-Ray CT Reconstruction of Additively Manufactured Parts using 2.5D Deep Learning MBIR—0
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
Robust X-ray Sparse-view Phase Tomography via Hierarchical Synthesis Convolutional Neural Networks—0
JSR-Net: A Deep Network for Joint Spatial-Radon Domain CT Reconstruction from incomplete data—0
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?Code0
Sparse-View CT Reconstruction via Convolutional Sparse Coding—0
TV-regularized CT Reconstruction and Metal Artifact Reduction Using Inequality Constraints with Preconditioning—0
One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated BackprojectionCode0
Super-Resolution and Sparse View CT Reconstruction—0
Metal Artifact Reduction in Cone-Beam X-Ray CT via Ray Profile Correction—0
Non-local Low-rank Cube-based Tensor Factorization for Spectral CT Reconstruction—0
Deep Back Projection for Sparse-View CT Reconstruction—0
Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner—0
Low-dose spectral CT reconstruction using L0 image gradient and tensor dictionary—0
Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion—0
Sparse-View X-Ray CT Reconstruction Using _1 Prior with Learned Transform—0
Intelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning—0
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction—0
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CTCode0
CT sinogram-consistency learning for metal-induced beam hardening correction—0
Learned Primal-dual ReconstructionCode0
Low Dose CT Image Reconstruction With Learned Sparsifying Transform—0
Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT Reconstruction—0
Wavelet Domain Residual Network (WavResNet) for Low-Dose X-ray CT ReconstructionCode0
Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction—0
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis—0
A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction—0
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT—0
Efficient Low Dose X-ray CT Reconstruction through Sparsity-Based MAP Modeling—0
Image reconstruction from few views by L0-norm optimization—0
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