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CT Reconstruction

Papers

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Showing 126–150 of 235 papers

TitleStatusHype
Ray-driven Spectral CT Reconstruction Based on Neural Base-Material Fields—0
Region-specific Dictionary Learning-based Low-dose Thoracic CT Reconstruction—0
ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction—0
ρ-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction—0
Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization—0
Robust X-ray Sparse-view Phase Tomography via Hierarchical Synthesis Convolutional Neural Networks—0
Single-Layer Learnable Activation for Implicit Neural Representation (SL^2A-INR)—0
Solving Low-Dose CT Reconstruction via GAN with Local Coherence—0
Sparse Measurement Medical CT Reconstruction using Multi-Fused Block Matching Denoising Priors—0
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data—0
Sparse-View CT Reconstruction using Recurrent Stacked Back Projection—0
Sparse-View CT Reconstruction via Convolutional Sparse Coding—0
3DGR-CT: Sparse-View CT Reconstruction with a 3D Gaussian Representation—0
Sparse-View Spectral CT Reconstruction Using Deep Learning—0
Sparse-View X-Ray CT Reconstruction Using _1 Prior with Learned Transform—0
Spatiotemporal Besov Priors for Bayesian Inverse Problems—0
Spectral2Spectral: Image-spectral Similarity Assisted Spectral CT Deep Reconstruction without Reference—0
Stochastic tissue window normalization of deep learning on computed tomography—0
Strategies for CT Reconstruction using Diffusion Posterior Sampling with a Nonlinear Model—0
Super-Resolution and Sparse View CT Reconstruction—0
Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction—0
Synthetic CT Generation from Time-of-Flight Non-Attenutaion-Corrected PET for Whole-Body PET Attenuation Correction—0
TD-Net: A Tri-domain network for sparse-view CT reconstruction—0
TomoGRAF: A Robust and Generalizable Reconstruction Network for Single-View Computed Tomography—0
Top-K Maximum Intensity Projection Priors for 3D Liver Vessel Segmentation—0
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