42 citations · 94 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 42 cited
Attention guided global enhancement and local refinement network for semantic segmentation
Jiangyun Li, Sen Zha, Chen Chen +3
The encoder-decoder architecture is widely used as a lightweight semantic segmentation network. However, it struggles with a limited performance compared to a well-designed Dilated…
eess.IV2022★ 19 cited
Category Guided Attention Network for Brain Tumor Segmentation in MRI
Jiangyun Li, Hong Yu, Chen Chen +2
Objective: Magnetic resonance imaging (MRI) has been widely used for the analysis and diagnosis of brain diseases. Accurate and automatic brain tumor segmentation is of paramount i…
eess.IV2022★ 33 cited
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images
Jiangyun Li, Wenxuan Wang, Chen Chen +4
Transformer, benefiting from global (long-range) information modeling using self-attention mechanism, has been successful in natural language processing and computer vision recentl…