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CASIA OpenIR
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TR-GAN: Multi-session future MRI prediction with temporal recurrent generative adversarial network 期刊论文
IEEE Transactions on Medical Imaging, 2022, 卷号: vol. 41, 期号: no. 8, 页码: 1925-1937
作者:  Fan, Chen-Chen;  Peng, Liang;  Wang, Tian;  Yang, Hongjun;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Wang, Guan’an;  Chen, Sheng;  Zhou, Yan-Jie;  Hou, Zeng-Guang
Adobe PDF(11092Kb)  |  收藏  |  浏览/下载：247/28  |  提交时间：2023/06/02
Alzheimer’s disease  magnetic resonance imaging  generative adversarial network  
BGL-Net: A brain-inspired global-local information fusion network for Alzheimer’s disease based on sMRI 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2022, 卷号: doi: 10.1109/TCDS.2022.3204782, 页码: 1-9
作者:  Fan, Chen-Chen;  Yang, Hongjun;  Peng, Liang;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Zhou, Yan-Jie;  Chen, Sheng;  Hou, Zeng-Guang
Adobe PDF(1263Kb)  |  收藏  |  浏览/下载：175/35  |  提交时间：2023/06/02
A Hierarchical Architecture for Multisymptom Assessment of Early Parkinson's Disease via Wearable Sensors 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 4, 页码: 1553-1563
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang;  Li, Yanfeng;  Tan, Ying;  Hao, Honglin
Adobe PDF(1912Kb)  |  收藏  |  浏览/下载：299/13  |  提交时间：2023/03/20
Diseases  Machine learning  Hidden Markov models  Accelerometers  Monitoring  Gyroscopes  Parkinson's disease  Wearable computing  Sensor systems  multilevel fusion  multisymptom assessment  Parkinson's disease (PD)  wearable sensor system  
Recognition of Endovascular Manipulations using Recurrent Neural Networks 会议论文
, 德国, 7.23-7.27
作者:  Li, Rui-Qi;  Zhou, Xiao-Hu;  Bian, Gui-Bin;  Xie, Xiao-Liang;  Hou, Zeng-Guang
Adobe PDF(990Kb)  |  收藏  |  浏览/下载：138/32  |  提交时间：2022/01/14
The Assessment of Upper-Limb Spasticity Based on a Multi-Layer Process Using a Portable Measurement System 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2021, 卷号: 29, 页码: 2242-2251
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang;  Zhang, Pu
Adobe PDF(1907Kb)  |  收藏  |  浏览/下载：173/15  |  提交时间：2021/12/28
Spasticity quantification  portable assessment device  modified genetic algorithm  ensemble empirical mode decomposition (EEMD)  multi-layer fusion  
Personalized gait trajectory generation based on anthropometric features using Random Forest 期刊论文
Journal of Ambient Intelligence and Humanized Computing, 2019, 期号: 1, 页码: 1-12
作者:  Shixin Ren;  Weiqun Wang;  Zeng-Guang Hou;  Badong Chen;  Xu Liang;  Liang Peng
Adobe PDF(2042Kb)  |  收藏  |  浏览/下载：192/54  |  提交时间：2021/07/01
Personalized gait  Gait generation  Random Forest  Anthropometric features  Rehabilitation training  
Brain functional connectivity analysis and crucial channel selection using channel-wise CNN 会议论文
, Siem Reap, Cambodia, 2018
作者:  Wang, Jiaxing;  Wang, Weiqun;  Hou, Zengguang;  Liang, Xu;  Ren, Shixin;  Peng, Liang
Adobe PDF(1261Kb)  |  收藏  |  浏览/下载：116/33  |  提交时间：2021/06/01
Anthropometric Features Based Gait Pattern Prediction Using Random Forest for Patient-Specific Gait Training 会议论文
Neural Information Processing, Siem Reap, Cambodia, December 13-16, 2018
作者:  Shixin Ren;  Weiqun Wang;  Zeng-Guang Hou;  Xu, Liang;  Jiaxing Wang;  Liang Peng
Adobe PDF(730Kb)  |  收藏  |  浏览/下载：109/37  |  提交时间：2020/10/29
Patient-specific gait, Anthropometric features, Random forest, Gait prediction  
SEMG and KNN Based Human Motion Intention Recognition for Active and Safe Neurorehabilitation 会议论文
, Sydney,Australia, 2019-12
作者:  Shi, Weiguo;  Wang, Weiqun;  Hou, Zeng-Guang;  Liang, Xu;  Ren, Shixin;  Wang, Jiaxing;  Peng, Liang
浏览  |  Adobe PDF(3639Kb)  |  收藏  |  浏览/下载：194/44  |  提交时间：2020/09/08
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：337/60  |  提交时间：2020/09/07
Brain computer interface  functional electrical stimulation (FES)  virtual reality  enhanced motor imagery  rehabilitation training