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Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments 会议论文
, Paris, France, 2020.5.31-2020.8.31
作者:  Zhen-Liang Ni;  Gui-Bin Bian;  Zeng-Guang Hou;  Xiao-Hu Zhou;  Xiao-Liang Xie;  Zhen Li
Adobe PDF(1053Kb)  |  收藏  |  浏览/下载：197/50  |  提交时间：2022/06/15
real-time segmentation  attention  surgical instruments  
CAU-net: A Novel Convolutional Neural Network for Coronary Artery Segmentation in Digital Substraction Angiography 会议论文
, 泰国, 11.18-11.22
作者:  Li, Rui-Qi;  Bian, Gui-Bin;  Zhou, Xiao-Hu;  Xie, Xiao-Liang;  Ni, Zhen-Liang;  Hou, Zeng-Guang
Adobe PDF(1478Kb)  |  收藏  |  浏览/下载：171/28  |  提交时间：2022/01/12
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载：328/55  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
A Multilayer and Multimodal-Fusion Architecture for Simultaneous Recognition of Endovascular Manipulations and Assessment of Technical Skills 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: PP, 期号: 99, 页码: 1-13
作者:  Xiaohu,Zhou;  Xiaoliang.Xie;  Zhenqiu,Feng;  Zengguang,Hou;  Guibin,Bian;  Ruiqi,Li;  Zhenliang,Ni;  Shiqi,Liu;  Yan-Jie Zhou
浏览  |  Adobe PDF(2286Kb)  |  收藏  |  浏览/下载：289/59  |  提交时间：2020/11/05
Endovascular manipulations  multilayer and multimodal-fusion architecture (MMFA)  percutaneous coronary intervention (PCI),  technical skill assessment  
A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis 期刊论文
EUROPEAN RESPIRATORY JOURNAL, 2020, 卷号: 56, 期号: 2, 页码: 11
作者:  Wang, Shuo;  Zha, Yunfei;  Li, Weimin;  Wu, Qingxia;  Li, Xiaohu;  Niu, Meng;  Wang, Meiyun;  Qiu, Xiaoming;  Li, Hongjun;  Yu, He;  Gong, Wei;  Bai, Yan;  Li, Li;  Zhu, Yongbei;  Wang, Liusu;  Tian, Jie
收藏  |  浏览/下载：228/0  |  提交时间：2020/09/21
Qualitative and Quantitative Assessment of Technical Skills in Percutaneous Coronary Intervention: In Vivo Porcine Studies 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 2, 页码: 353-364
作者:  Zhou, Xiao-Hu;  Bian, Gui-Bin;  Xie, Xiao-Liang;  Hou, Zeng-Guang;  Li, Rui-Qi;  Zhou, Yan-Jie
收藏  |  浏览/下载：313/0  |  提交时间：2020/03/30
Natural behaviors  percutaneous coronary intervention  assessment framework  qualitative and quantitative assessment  in vivo porcine studies