| Multi-layer Residual Sparsifying Transform (MARS) Model for Low-dose CT Image Reconstruction | Oct 10, 2020 | CT ReconstructionImage Reconstruction | —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 |
| Multi-Slice Fusion for Sparse-View and Limited-Angle 4D CT Reconstruction | Aug 1, 2020 | 4D reconstructionCT Reconstruction | —Unverified | 0 |
| Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging | Jun 3, 2020 | compressed sensingComputed Tomography (CT) | —Unverified | 0 |
| Limited-angle CT reconstruction via the L1/L2 minimization | May 31, 2020 | Computed Tomography (CT)CT Reconstruction | —Unverified | 0 |
| Gram filtering and sinogram interpolation for pixel-basis in parallel-beam X-ray CT reconstruction | May 27, 2020 | CT Reconstruction | —Unverified | 0 |
| Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images | May 20, 2020 | compressed sensingComputed Tomography (CT) | —Unverified | 0 |
| Learned Multi-layer Residual Sparsifying Transform Model for Low-dose CT Reconstruction | May 8, 2020 | CT ReconstructionDictionary Learning | —Unverified | 0 |
| Visualization of fully connected layer weights in deep learning CT reconstruction | Feb 17, 2020 | Computed Tomography (CT)CT Reconstruction | —Unverified | 0 |
| Scalable Double Regularization for 3D Nano-CT Reconstruction | Jan 14, 2020 | CT Reconstruction | CodeCode Available | 0 |
