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CT Reconstruction

Papers

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Showing 101–125 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
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