| Neumann Networks for Inverse Problems in Imaging | Jan 13, 2019 | compressed sensingDeblurring | CodeCode Available | 0 |
| Efficient B-mode Ultrasound Image Reconstruction from Sub-sampled RF Data using Deep Learning | Dec 17, 2017 | compressed sensingDiagnostic | CodeCode Available | 0 |
| Cell Detection in Microscopy Images with Deep Convolutional Neural Network and Compressed Sensing | Aug 10, 2017 | Cell Detectioncompressed sensing | CodeCode Available | 0 |
| Cascaded Dilated Dense Network with Two-step Data Consistency for MRI Reconstruction | Dec 1, 2019 | compressed sensingMRI Reconstruction | CodeCode Available | 0 |
| Bayesian Convolutional Neural Networks for Compressed Sensing Restoration | Feb 24, 2019 | Bayesian Inferencecompressed sensing | CodeCode Available | 0 |
| Neural Proximal Gradient Descent for Compressive Imaging | Jun 1, 2018 | compressed sensing | CodeCode Available | 0 |
| Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy | May 17, 2021 | compressed sensingregression | CodeCode Available | 0 |
| J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction | Nov 6, 2019 | compressed sensingDeep Learning | CodeCode Available | 0 |
| An Interpretable MRI Reconstruction Network with Two-grid-cycle Correction and Geometric Prior Distillation | May 14, 2022 | compressed sensingDeep Learning | CodeCode Available | 0 |
| Robust Compressed Sensing using Generative Models | Jun 16, 2020 | compressed sensing | CodeCode Available | 0 |
