| The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods | Oct 1, 2019 | CT Reconstruction | CodeCode Available | 1 | 5 |
| One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging | Dec 7, 2022 | Computed Tomography (CT)CT Reconstruction | CodeCode Available | 1 | 5 |
| Prompted Contextual Transformer for Incomplete-View CT Reconstruction | Dec 13, 2023 | Computed Tomography (CT)CT Reconstruction | CodeCode Available | 1 | 5 |
| Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT Reconstruction | Mar 10, 2022 | Computed Tomography (CT)CT Reconstruction | CodeCode Available | 0 | 5 |
| Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler | Oct 24, 2023 | Bayesian InferenceComputed Tomography (CT) | CodeCode Available | 0 | 5 |
| MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with Multi-sparse-view and Multi-scale Refinement-correction | May 27, 2024 | Computed Tomography (CT)CT Reconstruction | CodeCode Available | 0 | 5 |
| Low-Dose CT Reconstruction Using Dataset-free Learning | Feb 17, 2024 | CT Reconstruction | CodeCode Available | 0 | 5 |
| Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary Study | Sep 3, 2022 | Computed Tomography (CT)CT Reconstruction | CodeCode Available | 0 | 5 |
| NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems | Apr 17, 2023 | Bayesian InferenceComputed Tomography (CT) | CodeCode Available | 0 | 5 |
| Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees | Feb 1, 2025 | Computed Tomography (CT)CT Reconstruction | CodeCode Available | 0 | 5 |
