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Radiomics Analysis on T2-MR Image to Predict Lymphovascular Space Invasion in Cervical Cancer 会议论文
, San Diego, USA, 2019-2
Authors:  Wang, Shuo;  Chen, Xi;  Liu, Zhenyu;  Wu, Qingxia;  Zhu, Yongbei;  Wang, Meiyun;  Tian, Jie
View  |  Adobe PDF(540Kb)  |  Favorite  |  View/Download:13/1  |  Submit date:2019/04/30
Prognostication of chronic disorders of consciousness using brain functional networks and clinical characteristics 期刊论文
eLife, 2018, 卷号: 2018, 期号: 7, 页码: e36173
Authors:  Song Ming;  Yi Yang;  Jianghong He;  Zhengyi Yang;  Shan Yu;  Qiuyou Xie;  Xiaoyu Xia;  Yuanyuan Dang;  Qiang Zhang;  Xinhuai Wu;  Yue Cui;  Bing Hou;  Ronghao Yu;  Ruxiang Xu;  Tianzi Jiang
View  |  Adobe PDF(7400Kb)  |  Favorite  |  View/Download:52/7  |  Submit date:2018/10/11
Disorders Of Consciousness  Prognosis  Resting State Fmri  Functional Connectivity  Brain Network  
A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy 期刊论文
CLINICAL CANCER RESEARCH, 2018, 卷号: 24, 期号: 15, 页码: 3583-3592
Authors:  Song, Jiangdian;  Shi, Jingyun;  Dong, Di;  Fang, Mengjie;  Zhong, Wenzhao;  Wang, Kun;  Wu, Ning;  Huang, Yanqi;  Liu, Zhenyu;  Cheng, Yue;  Gan, Yuncui;  Zhou, Yongzhao;  Zhou, Ping;  Chen, Bojiang;  Liang, Changhong;  Liu, Zaiyi;  Li, Weimin;  Tian, Jie
Favorite  |  View/Download:29/0  |  Submit date:2018/10/10
动态未知环境下多机器人协调围捕研究 学位论文
, 北京: 中国科学院研究生院, 2018
Authors:  吴志勇
Adobe PDF(8589Kb)  |  Favorite  |  View/Download:51/1  |  Submit date:2018/05/30
多机器人系统  围捕  入侵者预测步数优化选取  围捕环境的区域划分  模糊协调围捕  
A Multi-Robot Cooperative Hunting Approach Based on Dynamic Prediction of Target Motion 会议论文
EI, The Parisian Macao Macau SAR, China, December 5-8, 2017
Authors:  Zhiyong Wu(吴志勇);  Zhiqiang Cao(曹志强);  Yingying Yu(于莹莹);  Lei Pang(庞磊);  Chao Zhou(周超);  Erkui Chen(陈二奎);  Cao ZQ(曹志强)
View  |  Adobe PDF(651Kb)  |  Favorite  |  View/Download:81/15  |  Submit date:2018/05/09
Multi-robot Hunting  Dynamic Prediction Of Target Motion  Desired Encirclement Points  Optimized Prediction Step  
A laser-based multi-robot collision avoidance approach in unknown environments 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2018, 卷号: 15, 期号: 1
Authors:  Yu, Yingying;  Wu, Zhiyong;  Cao, Zhiqiang;  Pang, Lei;  Ren, Liang;  Zhou, Chao
Favorite  |  View/Download:22/0  |  Submit date:2018/10/10
Laser-based Collision Avoidance  Inter-robot Safety  Multiple Robots  Unknown Environments  
A Method of Registering Virtual Objects in Monocular Augmented Reality System 会议论文
, Beijing, China, April 8, 2018 - April 10, 2018
Authors:  Wu Zeye;  Wang Pengrui;  Che Wujun
View  |  Adobe PDF(1432Kb)  |  Favorite  |  View/Download:14/6  |  Submit date:2019/04/30
Augmented Reality  Scale Calibration  Monocular Slam  Virtual Objects Registration  
Underwater image matching by incorporating structural constraints 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2017, 卷号: 14, 期号: 6, 页码: 0
Authors:  Yang, Xu;  Liu, Zhi-Yong;  Qiao, Hong;  Song, Yong-Bo;  Ren, Shu-Nan;  Ji, Da-Xiong;  Zheng, Sui-Wu
View  |  Adobe PDF(57Kb)  |  Favorite  |  View/Download:83/18  |  Submit date:2017/10/12
Underwater Image  Image Matching  Underwater Robot  Feature Correspondence  
An Optimal Task Allocation Approach for Large-Scale Multiple Robotic Systems with Hierarchical Framework and Resource Constraints 期刊论文
IEEE Systems Journal, 2017, 期号: PP(99), 页码: 1-4
Authors:  Liang Ren;  Yingying Yu;  Zhiqiang Cao;  Zhiyong Wu;  Junzhi Yu;  Chao Zhou;  Min Tan
View  |  Adobe PDF(959Kb)  |  Favorite  |  View/Download:59/11  |  Submit date:2018/05/29
Hierarchical Framework  Large-scale Multiple Robotic System  Resource Constraints  Task Allocation  
Online Multi-Modal Distance Metric Learning with Application to Image Retrieval 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2016, 卷号: 28, 期号: 2, 页码: 454-467
Authors:  Wu, Pengcheng;  Hoi, Steven C. H.;  Zhao, Peilin;  Miao, Chunyan;  Liu, Zhi-Yong
Favorite  |  View/Download:46/0  |  Submit date:2016/06/14
Content-based Image Retrieval  Multi-modal Retrieval  Distance Metric Learning  Online Learning