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:
Automatic Robotic Cranium-Milling: A Motion Control Study of In Vitro Animal Experiments 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 页码: 1-14
作者:  Bian GB(边桂彬);  Qian C(钱琛);  Li Z(李桢);  Ye Q(叶强);  Ge PC(葛培聪);  Zhao JZ(赵继宗)
Adobe PDF(2827Kb)  |  收藏  |  浏览/下载:39/9  |  提交时间:2024/05/28
A Hybrid Admittance Control Algorithm for Automatic Robotic Cranium-Milling 会议论文
, Yokohama, Japan, May 13th to 17th, 2024
作者:  Qian C(钱琛);  Li Z(李桢);  Ye Q(叶强);  Ge PC(葛培聪);  Zhao JZ(赵继宗);  Bian GB(边桂彬)
Adobe PDF(1806Kb)  |  收藏  |  浏览/下载:43/11  |  提交时间:2024/05/28
Motion Decoupling Network for Intra-Operative Motion Estimation Under Occlusion 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 10, 页码: 2924-2935
作者:  Bian, Gui-Bin;  Zhang, Li;  Chen, He;  Li, Zhen;  Fu, Pan;  Yue, Wen-Qian;  Luo, Yu-Wen;  Ge, Pei-Cong;  Liu, Wei-Peng
收藏  |  浏览/下载:147/0  |  提交时间:2023/12/21
Optical flow  Surgery  Instruments  Estimation  Task analysis  Videos  Motion estimation  Computer-assisted surgery  motion estimation  optical flow  self-supervised learning  surgical images  
Robotic Automatic Drilling for Craniotomy: Algorithms and In Vitro Animal Experiments 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12
作者:  Bian, Gui-Bin;  Wei, Bing-Ting;  Li, Zhen;  Ge, Peicong;  Chen, Zhang;  Qian, Chen;  Wang, Jie;  Fu, Pan;  Zhao, Jizong
Adobe PDF(2827Kb)  |  收藏  |  浏览/下载:123/9  |  提交时间:2023/11/17
Drilling  Robots  Force  Robot sensing systems  Skull  Feeds  Service robots  Autonomous drilling  craniotomy robot  feed velocity and force constraint control  in vitro experiment  skull-dura boundary detection  
MAF-Net: A multi-scale attention fusion network for automatic surgical instrument segmentation? 期刊论文
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2023, 卷号: 85, 页码: 10
作者:  Yang, Lei;  Gu, Yuge;  Bian, Guibin;  Liu, Yanhong
收藏  |  浏览/下载:96/0  |  提交时间:2023/11/17
Semantic segmentation  Deep learning  Surgical instrument  Multi-scale feature fusion  Residual dense network