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多聚点子空间下的时空信息融合及其在行为识别中的应用 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 11, 页码: 2823-2835
Authors:  杨天金;  侯振杰;  李兴;  梁久祯;  宦娟;  郑纪翔
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行为识别  信息融合  深度时空图  多聚点子空间学习  
基于变阻抗控制的冗余驱动并联机器人多目标内力优化 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 5, 页码: 1099-1115
Authors:  梁旭;  苏婷婷;  侯增广;  刘圣达;  章杰;  何广平
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冗余驱动  并联机器人  时变阻抗控制  间隙消除  多目标优化  
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
Authors:  Fan, Chen-Chen;  Yang, Hongjun;  Peng, Liang;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Zhou, Yan-Jie;  Chen, Sheng;  Hou, Zeng-Guang
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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: vol. 41, 期号: no. 8, 页码: 1925-1937
Authors:  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
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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
Authors:  Fan, Chen-Chen;  Yang, Hongjun;  Peng, Liang;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Zhou, Yan-Jie;  Chen, Sheng;  Hou, Zeng-Guang
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Bilinear neural network with 3-D attention for brain decoding of motor imagery movements from the human EEG 期刊论文
Cognitive Neurodynamics, 2020, 卷号: vol. 15, 页码: 181–189
Authors:  Fan, Chen-Chen;  Yang, Hongjun;  Hou, Zeng-Guang;  Ni, Zhen-Liang;  Chen, Sheng;  Fang, Zhijie
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Group feature learning and domain adversarial neural network for aMCI diagnosis system based on EEG 会议论文
, 西安, 2021.06
Authors:  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
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Distributed Momentum-Based Frank-Wolfe Algorithm for Stochastic Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 685-699
Authors:  Jie Hou;  Xianlin Zeng;  Gang Wang;  Jian Sun;  Jie Chen
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Distributed optimization  Frank-Wolfe (FW) algorithms  momentum-based method  stochastic optimization  
Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study 期刊论文
EBIOMEDICINE, 2022, 卷号: 86, 页码: 13
Authors:  She, Yunlang;  He, Bingxi;  Wang, Fang;  Zhong, Yifan;  Wang, Tingting;  Liu, Zhenchuan;  Yang, Minglei;  Yu, Bentong;  Deng, Jiajun;  Sun, Xiwen;  Wu, Chunyan;  Hou, Likun;  Zhu, Yuming;  Yang, Yang;  Hu, Hongjie;  Dong, Di;  Chen, Chang;  Tian, Jie
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Deep learning  Neoadjuvant chemoimmunotherapy  Major pathological response  Non-small cell lung cancer  
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
Authors:  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
Favorite  |  View/Download:426/0  |  Submit date: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