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Rui-Qi Li
Researcher at Chinese Academy of Sciences
Publications - 15
Citations - 151
Rui-Qi Li is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Computer science & Segmentation. The author has an hindex of 3, co-authored 11 publications receiving 44 citations.
Papers
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Book ChapterDOI
RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments
Zhen-Liang Ni,Gui-Bin Bian,Xiao-Hu Zhou,Zeng-Guang Hou,Xiao-Liang Xie,Chen Wang,Yan-Jie Zhou,Rui-Qi Li,Zhen Li +8 more
TL;DR: In this paper, an attention-guided network is proposed to segment the cataract surgical instrument, which captures global context and encodes semantic dependencies to emphasize key semantic features, boosting the feature representation.
Journal ArticleDOI
Qualitative and Quantitative Assessment of Technical Skills in Percutaneous Coronary Intervention: In Vivo Porcine Studies
TL;DR: The objective, effective, and comprehensive assessment of technical skills can be provided by qualitatively and quantitatively analyzing interventionalists’ natural behaviors in PCI.
Posted Content
RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments
Zhen-Liang Ni,Gui-Bin Bian,Xiao-Hu Zhou,Zeng-Guang Hou,Xiao-Liang Xie,Chen Wang,Yan-Jie Zhou,Rui-Qi Li,Zhen Li +8 more
TL;DR: A new attention module is designed to learn discriminative features and address the specular reflection issue, which captures global context and encodes semantic dependencies to emphasize key semantic features, boosting the feature representation.
Journal ArticleDOI
A Multilayer and Multimodal-Fusion Architecture for Simultaneous Recognition of Endovascular Manipulations and Assessment of Technical Skills
Xiao-Hu Zhou,Xiao-Liang Xie,Feng Zhenqiu,Zeng-Guang Hou,Gui-Bin Bian,Rui-Qi Li,Zhen-Liang Ni,Liu Shiqi,Yan-Jie Zhou +8 more
TL;DR: The experimental results indicate that the proposed architecture can achieve the overall accuracy of 96.41%, much higher than that of a single-layer recognition architecture, and the multimodal fusion brings significant performance improvement in comparison with single-modal schemes.
Journal ArticleDOI
Real-Time Multi-Guidewire Endpoint Localization in Fluoroscopy Images
Rui-Qi Li,Xiao-Liang Xie,Xiao-Hu Zhou,Liu Shiqi,Zhen-Liang Ni,Yan-Jie Zhou,Gui-Bin Bian,Zeng-Guang Hou +7 more
TL;DR: In this paper, a Segmentation Attention-Hourglass (SA-hourglass) network is proposed for real-time multi-guidewire endpoint localization in fluoroscopy images.