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CT Reconstruction

Papers

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Showing 51–75 of 235 papers

TitleStatusHype
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse ProblemsCode0
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstructionCode0
Low-Dose CT Reconstruction Using Dataset-free LearningCode0
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary StudyCode0
One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated BackprojectionCode0
PYRO-NN: Python Reconstruction Operators in Neural NetworksCode0
Learned Primal-dual ReconstructionCode0
Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical GuaranteesCode0
An Educated Warm Start For Deep Image Prior-Based Micro CT ReconstructionCode0
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?Code0
Improving Computed Tomography (CT) Reconstruction via 3D Shape InductionCode0
X-Recon: Learning-based Patient-specific High-Resolution CT Reconstruction from Orthogonal X-Ray ImagesCode0
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse ProblemsCode0
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CTCode0
Hierarchical Decomposed Dual-domain Deep Learning for Sparse-View CT ReconstructionCode0
Enhancing signal detectability in learning-based CT reconstruction with a model observer inspired loss functionCode0
Bigger Isn't Always Better: Towards a General Prior for Medical Image ReconstructionCode0
DX2CT: Diffusion Model for 3D CT Reconstruction from Bi or Mono-planar 2D X-ray(s)Code0
Feasibility-based Fixed Point NetworksCode0
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CTCode0
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density—0
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis—0
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization—0
Deep Radon Prior: A Fully Unsupervised Framework for Sparse-View CT Reconstruction—0
Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner—0
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