| A Comprehensive Survey on Magnetic Resonance Image Reconstruction | Mar 10, 2025 | DiagnosticImage Reconstruction | —Unverified | 0 | 0 |
| A Continuous Max-Flow Approach to Cyclic Field Reconstruction | Nov 11, 2015 | Image Reconstruction | —Unverified | 0 | 0 |
| A convergence proof of the split Bregman method for regularized least-squares problems | Feb 18, 2014 | compressed sensingComputed Tomography (CT) | —Unverified | 0 | 0 |
| A Convolutional Forward and Back-Projection Model for Fan-Beam Geometry | Jul 24, 2019 | CT ReconstructionImage Reconstruction | —Unverified | 0 | 0 |
| Active Phase-Encode Selection for Slice-Specific Fast MR Scanning Using a Transformer-Based Deep Reinforcement Learning Framework | Mar 11, 2022 | Deep Reinforcement LearningImage Reconstruction | —Unverified | 0 | 0 |
| Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations | Jun 9, 2025 | Blind Super-ResolutionImage Reconstruction | —Unverified | 0 | 0 |
| Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging | Jun 2, 2020 | DecoderDeep Learning | —Unverified | 0 | 0 |
| Adaptive Graph-based Total Variation for Tomographic Reconstructions | Oct 4, 2016 | Image ReconstructionTomographic Reconstructions | —Unverified | 0 | 0 |
| Adaptive Information Bottleneck Guided Joint Source and Channel Coding for Image Transmission | Mar 12, 2022 | Image Reconstruction | —Unverified | 0 | 0 |
| Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data | Jun 1, 2022 | Image Reconstruction | —Unverified | 0 | 0 |
