| Continuous Learned Primal Dual | May 3, 2024 | Computed Tomography (CT)CT Reconstruction | —Unverified | 0 |
| A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction | Jan 21, 2025 | CT Reconstruction | —Unverified | 0 |
| Computed Tomography Reconstruction using Generative Energy-Based Priors | Mar 23, 2022 | Computed Tomography (CT)CT Reconstruction | —Unverified | 0 |
| Computational Scatter Correction for High-Resolution Flat-Panel CT Based on a Fast Monte Carlo Photon Transport Model | Jan 31, 2022 | Computed Tomography (CT)CT Reconstruction | —Unverified | 0 |
| AI-Enabled Ultra-Low-Dose CT Reconstruction | Jun 17, 2021 | CT ReconstructionDiagnostic | —Unverified | 0 |
| A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks | Oct 1, 2020 | Computational EfficiencyComputed Tomography (CT) | —Unverified | 0 |
| Extreme Few-view CT Reconstruction using Deep Inference | Oct 11, 2019 | Computed Tomography (CT)CT Reconstruction | —Unverified | 0 |
| Efficient Low Dose X-ray CT Reconstruction through Sparsity-Based MAP Modeling | Feb 8, 2014 | compressed sensingCompressive Sensing | —Unverified | 0 |
| Encoding Semantic Priors into the Weights of Implicit Neural Representation | Jun 6, 2024 | CT ReconstructionMRI Reconstruction | —Unverified | 0 |
| Combining Deep Learning and Adaptive Sparse Modeling for Low-dose CT Reconstruction | May 19, 2022 | Computed Tomography (CT)CT Reconstruction | —Unverified | 0 |
