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:
Group feature learning and domain adversarial neural network for aMCI diagnosis system based on EEG 会议论文
, 西安, 2021.06
作者:  Fan, Chen-Chen;  Xie, Haiqun;  Peng, Liang;  Yang, Hongjun;  Ni, Zhen-Liang;  Wang, Guan’an;  Zhou, Yan-Jie;  Chen, Sheng;  Fang, Zhijie;  Huang, Shuyun;  Hou, Zeng-Guang
Adobe PDF(1846Kb)  |  收藏  |  浏览/下载:165/48  |  提交时间:2023/06/02
A Real-Time Multi-Task Framework for Guidewire Segmentation and Endpoint Localization in Endovascular Interventions 会议论文
, 中国西安, 2021.05.31-06.04
作者:  Zhou, Yan-Jie;  Liu, Shi-Qi;  Xie, Xiao-Liang;  Zhou, Xiao-Hu;  Wang, Guan-An;  Hou, Zeng-Guang;  Li, Rui-Qi;  Ni, Zhen-Liang;  Fan, Chen-Chen
Adobe PDF(10223Kb)  |  收藏  |  浏览/下载:256/56  |  提交时间:2022/06/14
DFR-Net: A Novel Multi-Task Learning Network for Real-Time Multi-Instrument Segmentation 会议论文
, 中国成都, 2021.10.20-24
作者:  Zhou, Yan-Jie;  Liu, Shi-Qi;  Xie, Xiao-Liang;  Hou, Zeng-Guang
Adobe PDF(2606Kb)  |  收藏  |  浏览/下载:256/53  |  提交时间:2022/06/14
neural networks  instrument segmentation  multi-task learning  
Enhanced Motor Imagery Based Brain- Computer Interface via FES and VR for Lower Limbs 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 卷号: 28, 期号: 8, 页码: 1846-1855
作者:  Ren, Shixin;  Wang, Weiqun;  Hou, Zeng-Guang;  Liang, Xu;  Wang, Jiaxing;  Shi, Weiguo
Adobe PDF(1893Kb)  |  收藏  |  浏览/下载:326/56  |  提交时间:2020/09/07
Brain computer interface  functional electrical stimulation (FES)  virtual reality  enhanced motor imagery  rehabilitation training  
A Multimodal Framework Based on Integration of Cortical and Muscular Activities for Decoding Human Intentions About Lower Limb Motions 期刊论文
IEEE Transactions on Biomedical Circuits and Systems, 2017, 卷号: 11, 期号: 4, 页码: 889–899
作者:  Cui, Chengkun;  Bian, Gui-Bin;  Hou, Zeng-Guang;  Zhao, Jun;  Zhou, Hao
浏览  |  Adobe PDF(766Kb)  |  收藏  |  浏览/下载:482/118  |  提交时间:2018/05/31
Electroencephalogram (Eeg)  Electromyogram (Emg)  Human-robot Interaction  Mechanomyogram (Mmg)  Motion Intention Recognition  Multimodal Fusion