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CT Reconstruction

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Showing 101–150 of 235 papers

TitleStatusHype
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture—0
3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation—0
4D X-Ray CT Reconstruction using Multi-Slice Fusion—0
Accelerated Optimization of Implicit Neural Representations for CT Reconstruction—0
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution—0
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks—0
A Convolutional Forward and Back-Projection Model for Fan-Beam Geometry—0
Active CT Reconstruction with a Learned Sampling Policy—0
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency—0
Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction—0
A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction—0
Advancing Limited-Angle CT Reconstruction Through Diffusion-Based Sinogram Completion—0
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT—0
A Global Constraint to Improve CT Reconstruction Under Non-Ideal Conditions—0
A hierarchical approach to deep learning and its application to tomographic reconstruction—0
AI-Enabled Ultra-Low-Dose CT Reconstruction—0
A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction—0
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction—0
A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction—0
A Low-dose CT Reconstruction Network Based on TV-regularized OSEM Algorithm—0
A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions—0
A patient-specific approach for quantitative and automatic analysis of computed tomography images in lung disease: application to COVID-19 patients—0
Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?—0
A Splitting-Based Iterative Algorithm for GPU-Accelerated Statistical Dual-Energy X-Ray CT Reconstruction—0
A three-dimensional dual-domain deep network for high-pitch and sparse helical CT reconstruction—0
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization—0
Benchmarking learned algorithms for computed tomography image reconstruction tasks—0
Blind CT Image Quality Assessment Using DDPM-derived Content and Transformer-based Evaluator—0
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction—0
Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays—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
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