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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
Favorite  |  View/Download:99/0  |  Submit date: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: 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
Adobe PDF(1039Kb)  |  Favorite  |  View/Download:55/20  |  Submit date:2023/06/02
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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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:341/0  |  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  
A Unified Framework for Multi-Guidewire Endpoint Localization in Fluoroscopy Images 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2022, 卷号: 69, 期号: 4, 页码: 1406-1416
Authors:  Li, Rui-Qi;  Xie, Xiao-Liang;  Zhou, Xiao-Hu;  Liu, Shi-Qi;  Ni, Zhen-Liang;  Zhou, Yan-Jie;  Bian, Gui-Bin;  Hou, Zeng-Guang
Favorite  |  View/Download:229/0  |  Submit date:2022/07/25
Location awareness  Surgery  Instruments  Feature extraction  Task analysis  Proposals  Measurement  Guidewire endpoint  keypoint localization  surgical instrument  
Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments 会议论文
, Paris, France, 2020.5.31-2020.8.31
Authors:  Zhen-Liang Ni;  Gui-Bin Bian;  Zeng-Guang Hou;  Xiao-Hu Zhou;  Xiao-Liang Xie;  Zhen Li
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real-time segmentation  attention  surgical instruments  
BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation 会议论文
, Yokohama, 2021-1
Authors:  Zhen-Liang Ni;  Gui-Bin Bian;  Guan-An Wang;  Xiao-Hu Zhou;  Zeng-Guang Hou;  Xiao-Liang Xie;  Zhen Li;  Yu-Han Wang
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Biomedical Image Understanding, Robotics and Vision  
Pyramid Attention Aggregation Network for Semantic Segmentation of Surgical Instruments 会议论文
, NewYork USA, 2020.2.7-2020.2.12
Authors:  Zhen-Liang Ni;  Gui-Bin Bian;  Guan-An Wang;  Xiao-Hu Zhou;  Zeng-Guang Hou;  Hua-Bin Chen;  Xiao-Liang Xie
Adobe PDF(2118Kb)  |  Favorite  |  View/Download:178/49  |  Submit date:2022/06/15
surgical instrument segmentation