Enhancing Brain MRI Super-Resolution Through Multi-Slice Aware Matching and Fusion
A Multi-Slice Aware Matching and Fusion (MSAMF) network for brain MRI super-resolution that utilizes multi-slice reference images through multi-scale matching and fusion mechanisms to generate high-quality super-resolution images.
Oct 1, 2025
Self-Refining Deep Symmetry Enhanced Network for Rain Removal
A Self-Refining Deep Symmetry Enhanced Network (DSEN) for rain removal that extracts rotation equivariant features and uses a self-refining mechanism to remove accumulated rain streaks in a coarse-to-fine manner.
Sep 22, 2019
R^2 Net Recurrent and Recursive Network for Sparse View CT Artifacts Removal
We propose a novel neural network architecture to reduce streak artifacts generated in sparse-view 2D Cone Beam Computed To-mography (CBCT) image reconstruction.
Jun 19, 2019
Recurrent Squeeze-and-Excitation Net for Single Image Deraining
We propose a novel deep network architecture based on deep convolutional and recurrent neural networksfor single image deraining.
Jul 19, 2018