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科研机构
自动化研究所 [58]
内容类型
期刊论文 [42]
会议论文 [16]
发表日期
2023 [2]
2022 [7]
2021 [10]
2020 [6]
2019 [10]
2018 [6]
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专题:自动化研究所
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A learnable EEG channel selection method for MI-BCI using efficient channel attention
期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 13
作者:
Tong, Lina
;
Qian, Yihui
;
Peng, Liang
;
Wang, Chen
;
Hou, Zeng-Guang
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/12/21
brain-computer interface
motor imagery
channel selection
deep learning
attention mechanism
BGL-Net: A Brain-Inspired Global-Local Information Fusion Network for Alzheimers Disease Based on sMRI
期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1161-1169
作者:
Fan, Chen-Chen
;
Yang, Hongjun
;
Peng, Liang
;
Zhou, Xiao-Hu
;
Ni, Zhen-Liang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/12/21
Alzheimer's disease (AD)
cognitive assessment
convolutional neural networks (CNNs)
graph neural networks
structural magnetic resonance imaging (sMRI)
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: 41, 期号: 8, 页码: 1925-1937
作者:
Fan, Chen-Chen
;
Peng, Liang
;
Wang, Tian
;
Yang, Hongjun
;
Zhou, Xiao-Hu
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2022/09/19
Magnetic resonance imaging
Generative adversarial networks
Task analysis
Three-dimensional displays
Training
Generators
Data models
Alzheimer's disease
magnetic resonance imaging
generative adversarial network
MonkeyTrail: A scalable video-based method for tracking macaque movement trajectory in daily living cages
期刊论文
ZOOLOGICAL RESEARCH, 2022, 卷号: 43, 期号: 3, 页码: 343-351
作者:
Liu, Meng-Shi
;
Gao, Jin-Quan
;
Hu, Gu-Yue
;
Hao, Guang-Fu
;
Jiang, Tian-Zi
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/07/25
Movement trajectory tracking
Video-based behavioral analyses
Background subtraction
Virtual empty background
Occlusion
A Dual-Stream Architecture for Real-Time Morphological Analysis of Aneurysm in Robot-Assisted Minimally Invasive Surgery
会议论文
Philadelphia, PA, USA, 2022.05.23-27
作者:
Zhou, Yan-Jie
;
Liu, Shi-Qi
;
Xie, Xiao-Liang
;
Zhou, Xiao-Hu
;
Hou, Zeng-Guang
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/06/14
A Control Framework for Adaptation of Training Task and Robotic Assistance for Promoting Motor Learning With an Upper Limb Rehabilitation Robot
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 11
作者:
Wang, Chen
;
Peng, Liang
;
Hou, Zeng-Guang
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/06/10
Robots
Trajectory
Task analysis
Training
Oscillators
Rehabilitation robotics
Real-time systems
Assist as needed (AAN)
motor learning
nonlinear adaptive control
rehabilitation robotics
Learning Skill Characteristics From Manipulations
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Zhou, Xiao-Hu
;
Xie, Xiao-Liang
;
Liu, Shi-Qi
;
Ni, Zhen-Liang
;
Zhou, Yan-Jie
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/06/10
Surgery
Sensors
In vivo
Task analysis
Arteries
Measurement
Sensor phenomena and characterization
Ensemble learning
in vivo porcine studies
percutaneous coronary intervention
skill characteristics
wavelet packet decomposition (WPD)
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
收藏
  |  
浏览/下载:4/0
  |  
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
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/06/02
Prediction of Human Voluntary Torques Based on Collaborative Neuromusculoskeletal Modeling and Adaptive Learning
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 6, 页码: 5217-5226
作者:
Wang, Weiqun
;
Shi, Weiguo
;
Hou, Zeng-Guang
;
Chen, Badong
;
Liang, Xu
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2021/04/06
Muscles
Adaptation models
Adaptive learning
Force
Calibration
Hip
Electromyography
Adaptive learning
human–
robot interaction
neuromusculoskeletal modeling
parameter calibration
surface electromyography (sEMG) processing
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