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Analysis of Interventionalists' Natural Behaviors for Recognizing Motion Patterns of Endovascular Tools During Percutaneous Coronary Interventions 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2019, 卷号: 13, 期号: 2, 页码: 330-342
Authors:  Zhou, Xiao-Hu;  Bian, Gui-Bin;  Xie, Xiao-Liang;  Hou, Zeng-Guang;  Qu, Xinkai;  Guan, Shaofeng
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Analysis framework  hidden Markov model  hierarchical classification framework  natural behaviors  percutaneous coronary intervention  
无权访问的条目 期刊论文
Authors:  Zhou XH(周小虎);  Bian GB(边桂彬);  Xie XL(谢晓亮);  Hou ZG(侯增广);  Li RQ(李芮麒);  Zhou YJ(周彦捷)
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A simulator with an elastic guidewire and vascular system for minimally invasive vascular surgery 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2018, 卷号: 61, 期号: 10
Authors:  Cheng, Xiaoran;  Xie, Xiaoliang;  Bian, Guibin;  Hou, Zengguang;  Liu, Shiqi;  Gao, Zhanjie
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无权访问的条目 期刊论文
Authors:  Zhou XH(周小虎);  Bian GB(边桂彬);  Xie XL(谢晓亮);  Hou ZG(侯增广)
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一种血管介入手术操作采集装置及方法 专利
专利类型: 发明专利, 专利号: 201610266715.0, 申请日期: 2018-01-01,
Inventors:  边桂彬;  侯增广;  周小虎;  谢晓亮;  奉振球;  郝剑龙;  王莉;  高占杰
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无权访问的条目 会议论文
Authors:  Zhou Xiao-Hu;  Bian Gui-Bin;  Xie Xiao-Liang;  Hou Zeng-Guang;  Hao Jian-Long
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Catheter or guide wire manipulating device for vascular intervention 专利
专利类型: 发明专利, 专利号: US9731096B2, 申请日期: 2017-01-01,
Inventors:  Bian Gui-Bin;  Hou Zeng-Guang;  Xie Xiao-Liang;  Cheng Long;  Tan Min;  Feng Zhen-Qiu;  Zhou Xiao-Hu
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An HMM-based recognition framework for endovascular manipulations 会议论文
, Jeju Korea, 2017
Authors:  Zhou Xiao-Hu;  Bian Gui-Bin;  Xie Xiao-Liang;  Hou Zeng-Guang
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Development of a Multi-modal Interactive System for Endoscopic Endonasal Approach Surgery Simulation 会议论文
, 青岛, 2016-12
Authors:  Jianlong Hao;  Xiaoliang Xie;  Guibin Bian;  Zengguang Hou;  Xiaohu Zhou
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Preliminary study on Wilcoxon-norm-based robust extreme learning machine 期刊论文
NEUROCOMPUTING, 2016, 卷号: 198, 期号: 2016, 页码: 20-26
Authors:  Xie, Xiao-Liang;  Bian, Gui-Bin;  Hou, Zeng-Guang;  Feng, Zhen-Qiu;  Hao, Jian-Long
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Extreme Learning Machine  Wilcoxon Neural Network  Wilcoxon-norm Based Robust Extreme  Learning Machine