中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共5条，第1-5条 帮助

限定条件                            
已选(0)清除 条数/页：   排序方式：
The manufacturing procedure of 3D printed models for endoscopic endonasal transsphenoidal pituitary surgery 期刊论文
Technology and Health Care, 2020, 期号: 13, 页码: 131-150
作者:  Shen Z(沈震);  Xie Y;  Shang XQ;  Xiong G;  Chen S;  Yao Y;  Pan ZX;  Pan H;  Dong XS;  Li YQ;  Guo C;  Wang F-Y
收藏  |  浏览/下载：156/0  |  提交时间：2020/11/05
Endoscopic endonasal transsphenoidal pituitary surgery  3D printing  surgery simulation  pituitary tumor  
3-D Tracking for Augmented Reality Using Combined Region and Dense Cues in Endoscopic Surgery 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2018, 卷号: 22, 期号: 5, 页码: 1540-1551
作者:  Wang, Rong;  Zhang, Mei;  Meng, Xiangbing;  Geng, Zheng;  Wang, Fei-Yue;  Zhang M(张梅)
收藏  |  浏览/下载：99/0  |  提交时间：2020/10/27
Augmented Reality  Dense Cues  Endoscopic Surgery  Region Cues  Tracking  
Efficient Confidence-Based Hierarchical Stereo Disparity Upsampling for Noisy Inputs 期刊论文
IEEE Access, 2019, 卷号: 0, 期号: 0, 页码: 0
作者:  Xiang-bing Meng;  Mei Zhang;  Zhao-xing Zhang;  Rong Wang;  Zheng Geng;  Fei-Yue Wang
收藏  |  浏览/下载：116/0  |  提交时间：2020/10/27
Disparity Upsampling  Confidence Evaluation  Noise  Hierarchical Structure  Multichannel Upsampling  
TiDEC: A Two-Layered Integrated Decision Cycle for Population Evolution 期刊论文
IEEE Transactions on Cybernetics, 2021, 卷号: 51, 期号: 12, 页码: 5897-5906
作者:  Ye, Peijun;  Wang, Xiao;  Xiong, Gang;  Chen, Shichao;  Wang, Fei-Yue
浏览  |  Adobe PDF(1418Kb)  |  收藏  |  浏览/下载：330/116  |  提交时间：2020/03/18
Agent-based Model (Abm), Cognitive Architecture, Population Evolution.  
Detecting Traffic Information From Social Media Texts With Deep Learning Approaches 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 8, 页码: 3049-3058
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Xiao;  Li, Lingxi;  Wang, Fei-Yue
浏览  |  Adobe PDF(2273Kb)  |  收藏  |  浏览/下载：450/112  |  提交时间：2019/08/28
Deep learning  social transportation  traffic information detection  social media  text mining