| Computed Tomography Reconstruction using Generative Energy-Based Priors | Mar 23, 2022 | Computed Tomography (CT)CT Reconstruction | —Unverified | 0 | 0 |
| Continuous Learned Primal Dual | May 3, 2024 | Computed Tomography (CT)CT Reconstruction | —Unverified | 0 | 0 |
| Controlling Neural Networks via Energy Dissipation | Apr 5, 2019 | Computed Tomography (CT)CT Reconstruction | —Unverified | 0 | 0 |
| Convolutional Sparse Coding for Compressed Sensing CT Reconstruction | Mar 20, 2019 | compressed sensingComputed Tomography (CT) | —Unverified | 0 | 0 |
| CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels | Oct 27, 2020 | CT Reconstruction | —Unverified | 0 | 0 |
| CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction across All Sampling Rates | Sep 3, 2024 | AllCT Reconstruction | —Unverified | 0 | 0 |
| CT sinogram-consistency learning for metal-induced beam hardening correction | Aug 2, 2017 | CT Reconstruction | —Unverified | 0 | 0 |
| Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT | Mar 22, 2023 | Computed Tomography (CT)CT Reconstruction | —Unverified | 0 | 0 |
| Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images | May 20, 2020 | compressed sensingComputed Tomography (CT) | —Unverified | 0 | 0 |
| Data-iterative Optimization Score Model for Stable Ultra-Sparse-View CT Reconstruction | Aug 28, 2023 | CT ReconstructionUnity | —Unverified | 0 | 0 |
