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CT Reconstruction

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Showing 201–235 of 235 papers

TitleStatusHype
Computed Tomography Reconstruction using Generative Energy-Based Priors—0
Continuous Learned Primal Dual—0
Controlling Neural Networks via Energy Dissipation—0
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels—0
CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction across All Sampling Rates—0
CT sinogram-consistency learning for metal-induced beam hardening correction—0
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT—0
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images—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
Reconstruct Spine CT from Biplanar X-Rays via Diffusion Learning—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction—0
CT Reconstruction using Diffusion Posterior Sampling conditioned on a Nonlinear Measurement Model—0
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays—0
Distributed Iterative CT Reconstruction using Multi-Agent Consensus Equilibrium—0
DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction—0
DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction—0
DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays—0
Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields—0
Efficient Low Dose X-ray CT Reconstruction through Sparsity-Based MAP Modeling—0
Encoding Semantic Priors into the Weights of Implicit Neural Representation—0
Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning—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
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