10 citations · 21 across the 4 of their papers we have counts for
4 papers
High-Resolution Swin Transformer for Automatic Medical Image Segmentation
Chen Wei, Shenghan Ren, Kaitai Guo +2
The Resolution of feature maps is critical for medical image segmentation. Most of the existing Transformer-based networks for medical image segmentation are U-Net-like architectur…
Self-supervised Representation Learning for Evolutionary Neural Architecture Search
Chen Wei, Yiping Tang, Chuang Niu +3
Recently proposed neural architecture search (NAS) algorithms adopt neural predictors to accelerate the architecture search. The capability of neural predictors to accurately predi…
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction
Chuang Niu, Wenxiang Cong, Fenglei Fan +4
Deep neural network based methods have achieved promising results for CT metal artifact reduction (MAR), most of which use many synthesized paired images for training. As synthesiz…
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering
Chuang Niu, Jun Zhang, Ge Wang +1
We propose a self-supervised Gaussian ATtention network for image Clustering (GATCluster). Rather than extracting intermediate features first and then performing the traditional cl…