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CT Reconstruction

Papers

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Showing 51–100 of 235 papers

TitleStatusHype
A patient-specific approach for quantitative and automatic analysis of computed tomography images in lung disease: application to COVID-19 patients—0
Data-iterative Optimization Score Model for Stable Ultra-Sparse-View CT Reconstruction—0
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding—0
Deep Back Projection for Sparse-View CT Reconstruction—0
Deep Inertia L_p Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction—0
Deep Learning Based Computed Tomography Whys and Wherefores—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Deep learning based low-dose synchrotron radiation CT reconstruction—0
Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner—0
Deep Radon Prior: A Fully Unsupervised Framework for Sparse-View CT Reconstruction—0
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis—0
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density—0
Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation—0
JSR-Net: A Deep Network for Joint Spatial-Radon Domain CT Reconstruction from incomplete data—0
CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels—0
A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction—0
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture—0
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction—0
FCDM: A Physics-Guided Bidirectional Frequency Aware Convolution and Diffusion-Based Model for Sinogram Inpainting—0
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction—0
Improving Limited Angle CT Reconstruction with a Robust GAN Prior—0
Controlling Neural Networks via Energy Dissipation—0
Continuous Learned Primal Dual—0
A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction—0
AI-Enabled Ultra-Low-Dose CT Reconstruction—0
Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning—0
Encoding Semantic Priors into the Weights of Implicit Neural Representation—0
Computational Scatter Correction for High-Resolution Flat-Panel CT Based on a Fast Monte Carlo Photon Transport Model—0
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks—0
Image reconstruction from few views by L0-norm optimization—0
Computed Tomography Reconstruction using Generative Energy-Based Priors—0
Epi-NAF: Enhancing Neural Attenuation Fields for Limited-Angle CT with Epipolar Consistency Conditions—0
Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT—0
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models—0
Extreme Few-view CT Reconstruction using Deep Inference—0
Fan-Beam CT Reconstruction for Unaligned Sparse-View X-ray Baggage Dataset—0
INeAT: Iterative Neural Adaptive Tomography—0
Efficient Low Dose X-ray CT Reconstruction through Sparsity-Based MAP Modeling—0
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
A Convolutional Forward and Back-Projection Model for Fan-Beam Geometry—0
Combining Deep Learning and Adaptive Sparse Modeling for Low-dose CT Reconstruction—0
GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention—0
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation—0
Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields—0
Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays—0
A hierarchical approach to deep learning and its application to tomographic reconstruction—0
Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction—0
Gram filtering and sinogram interpolation for pixel-basis in parallel-beam X-ray CT reconstruction—0
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT—0
High-quality Low-dose CT Reconstruction Using Convolutional Neural Networks with Spatial and Channel Squeeze and Excitation—0
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