| Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization | Nov 8, 2019 | DemosaickingGenerative Adversarial Network | —Unverified | 0 |
| J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction | Nov 6, 2019 | compressed sensingDeep Learning | CodeCode Available | 0 |
| Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction | Nov 4, 2019 | Image Reconstruction | —Unverified | 0 |
| Deep Learning for space-variant deconvolution in galaxy surveys | Nov 1, 2019 | Deep LearningImage Reconstruction | —Unverified | 0 |
| On the Benefit of Adversarial Training for Monocular Depth Estimation | Oct 29, 2019 | Depth EstimationDepth Prediction | CodeCode Available | 0 |
| SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction | Oct 26, 2019 | ClusteringImage Reconstruction | —Unverified | 0 |
| Uncertainty Quantification with Generative Models | Oct 22, 2019 | Image ReconstructionUncertainty Quantification | CodeCode Available | 0 |
| Wasserstein GANs for MR Imaging: from Paired to Unpaired Training | Oct 15, 2019 | DiagnosticImage Reconstruction | —Unverified | 0 |
| Regularized Sparse Gaussian Processes | Oct 13, 2019 | Facial Expression Recognition (FER)Gaussian Processes | —Unverified | 0 |
| Improved Material Decomposition with a Two-step Regularization for spectral CT | Oct 11, 2019 | Computed Tomography (CT)Image Reconstruction | —Unverified | 0 |
