| Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks | Mar 25, 2019 | Clusteringcompressed sensing | —Unverified | 0 |
| Fast and accurate reconstruction of HARDI using a 1D encoder-decoder convolutional network | Mar 21, 2019 | compressed sensingDecoder | —Unverified | 0 |
| Convolutional Sparse Coding for Compressed Sensing CT Reconstruction | Mar 20, 2019 | compressed sensingComputed Tomography (CT) | —Unverified | 0 |
| Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning | Mar 19, 2019 | compressed sensingDiagnostic | CodeCode Available | 0 |
| Linearly Constrained Smoothing Group Sparsity Solvers in Off-grid Model | Mar 17, 2019 | compressed sensing | —Unverified | 0 |
| From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization | Mar 7, 2019 | compressed sensingMulti-Armed Bandits | CodeCode Available | 0 |
| GAN-based Projector for Faster Recovery with Convergence Guarantees in Linear Inverse Problems | Feb 26, 2019 | compressed sensingGenerative Adversarial Network | —Unverified | 0 |
| Bayesian Convolutional Neural Networks for Compressed Sensing Restoration | Feb 24, 2019 | Bayesian Inferencecompressed sensing | CodeCode Available | 0 |
| Compressed ghost edge imaging | Feb 22, 2019 | compressed sensingEdge Detection | —Unverified | 0 |
| Perfect reconstruction of sparse signals with piecewise continuous nonconvex penalties and nonconvexity control | Feb 20, 2019 | compressed sensing | —Unverified | 0 |
