| LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT | Dec 13, 2020 | compressed sensingComputed Tomography (CT) | CodeCode Available | 0 |
| Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems | Jun 4, 2024 | CT ReconstructionDeblurring | CodeCode Available | 0 |
| Convergent Data-driven Regularizations for CT Reconstruction | Dec 14, 2022 | CT Reconstruction | CodeCode Available | 0 |
| TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction | Feb 28, 2025 | Computed Tomography (CT)CT Reconstruction | CodeCode Available | 0 |
| Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series | Jan 29, 2024 | Computational EfficiencyComputed Tomography (CT) | CodeCode Available | 0 |
| 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 |
| Learned Primal-dual Reconstruction | Jul 20, 2017 | CT ReconstructionRolling Shutter Correction | CodeCode Available | 0 |
| DX2CT: Diffusion Model for 3D CT Reconstruction from Bi or Mono-planar 2D X-ray(s) | Sep 13, 2024 | CT Reconstruction | CodeCode Available | 0 |
| Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods? | Nov 8, 2018 | CT ReconstructionDeep Learning | CodeCode Available | 0 |
| Primal-Dual UNet for Sparse View Cone Beam Computed Tomography Volume Reconstruction | May 11, 2022 | CT Reconstruction | CodeCode Available | 0 |
