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CT Reconstruction

Papers

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Showing 51–100 of 235 papers

TitleStatusHype
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty AlignmentCode0
PYRO-NN: Python Reconstruction Operators in Neural NetworksCode0
Regression Conformal Prediction under BiasCode0
Scalable Double Regularization for 3D Nano-CT ReconstructionCode0
TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT ReconstructionCode0
DX2CT: Diffusion Model for 3D CT Reconstruction from Bi or Mono-planar 2D X-ray(s)Code0
One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated BackprojectionCode0
Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT ReconstructionCode0
Low-Dose CT Reconstruction Using Dataset-free LearningCode0
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?Code0
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse ProblemsCode0
MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with Multi-sparse-view and Multi-scale Refinement-correctionCode0
Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical GuaranteesCode0
Learned Primal-dual ReconstructionCode0
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse ProblemsCode0
Improving Computed Tomography (CT) Reconstruction via 3D Shape InductionCode0
Bigger Isn't Always Better: Towards a General Prior for Medical Image ReconstructionCode0
An Educated Warm Start For Deep Image Prior-Based Micro CT ReconstructionCode0
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CTCode0
Primal-Dual UNet for Sparse View Cone Beam Computed Tomography Volume ReconstructionCode0
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
A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction—0
Deep learning based low-dose synchrotron radiation CT reconstruction—0
Deep learning based dictionary learning and tomographic image reconstruction—0
A three-dimensional dual-domain deep network for high-pitch and sparse helical CT reconstruction—0
Deep Learning Based Computed Tomography Whys and Wherefores—0
Deep Inertia L_p Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction—0
A Splitting-Based Iterative Algorithm for GPU-Accelerated Statistical Dual-Energy X-Ray CT Reconstruction—0
Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction—0
4D X-Ray CT Reconstruction using Multi-Slice Fusion—0
Deep Back Projection for Sparse-View CT Reconstruction—0
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding—0
Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?—0
Data-iterative Optimization Score Model for Stable Ultra-Sparse-View CT Reconstruction—0
A patient-specific approach for quantitative and automatic analysis of computed tomography images in lung disease: application to COVID-19 patients—0
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency—0
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images—0
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT—0
A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions—0
Gram filtering and sinogram interpolation for pixel-basis in parallel-beam X-ray CT reconstruction—0
Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction—0
CT sinogram-consistency learning for metal-induced beam hardening correction—0
Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography—0
CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction across All Sampling Rates—0
A Low-dose CT Reconstruction Network Based on TV-regularized OSEM Algorithm—0
Active CT Reconstruction with a Learned Sampling Policy—0
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