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Frontiers in Aging Neuroscience
|
February 28, 2022
A Spatiotemporal Brain Network Analysis of Alzheimer's Disease Based on Persistent Homology
Jiacheng Xing, Jiaying Jia, Xin Wu, et al.
Scientific Reports
|
March 6, 2024
Spatial deformable transformer for 3D point cloud registration
Fengguang Xiong, Yu Kong, Shuaikang Xie, et al.
Scientific Reports
|
July 3, 2024
A human activity recognition method based on Vision Transformer
Huiyan Han, Hongwei Zeng, Liqun Kuang, et al.
Sensors (Basel, Switzerland)
|
July 8, 2023
Improved Robot Path Planning Method Based on Deep Reinforcement Learning
Huiyan Han, Jiaqi Wang, Liqun Kuang, et al.
Molecules (Basel, Switzerland)
|
June 26, 2019
Metabolic Brain Network Analysis of FDG-PET in Alzheimer's Disease Using Kernel-Based Persistent Features
Liqun Kuang, Deyu Zhao, Jiacheng Xing, et al.
Frontiers in Aging Neuroscience
|
August 1, 2020
Default Mode Network Analysis of APOE Genotype in Cognitively Unimpaired Subjects Based on Persistent Homology
Liqun Kuang, Jiaying Jia, Deyu Zhao, et al.
Molecules (Basel, Switzerland)
|
May 31, 2020
White Matter Brain Network Research in Alzheimer's Disease Using Persistent Features
Liqun Kuang, Yan Gao, Zhongyu Chen, et al.
Human Brain Mapping
|
December 21, 2018
A concise and persistent feature to study brain resting-state network dynamics: Findings from the Alzheimer's Disease Neuroimaging Initiative
Liqun Kuang, Xie Han, Kewei Chen, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Frontiers in Aging Neuroscience
|
February 28, 2022
A Spatiotemporal Brain Network Analysis of Alzheimer's Disease Based on Persistent Homology
Jiacheng Xing, Jiaying Jia, Xin Wu, et al.
Scientific Reports
|
March 6, 2024
Spatial deformable transformer for 3D point cloud registration
Fengguang Xiong, Yu Kong, Shuaikang Xie, et al.
Scientific Reports
|
July 3, 2024
A human activity recognition method based on Vision Transformer
Huiyan Han, Hongwei Zeng, Liqun Kuang, et al.
Sensors (Basel, Switzerland)
|
July 8, 2023
Improved Robot Path Planning Method Based on Deep Reinforcement Learning
Huiyan Han, Jiaqi Wang, Liqun Kuang, et al.
Molecules (Basel, Switzerland)
|
June 26, 2019
Metabolic Brain Network Analysis of FDG-PET in Alzheimer's Disease Using Kernel-Based Persistent Features
Liqun Kuang, Deyu Zhao, Jiacheng Xing, et al.
Frontiers in Aging Neuroscience
|
August 1, 2020
Default Mode Network Analysis of APOE Genotype in Cognitively Unimpaired Subjects Based on Persistent Homology
Liqun Kuang, Jiaying Jia, Deyu Zhao, et al.
Molecules (Basel, Switzerland)
|
May 31, 2020
White Matter Brain Network Research in Alzheimer's Disease Using Persistent Features
Liqun Kuang, Yan Gao, Zhongyu Chen, et al.
Human Brain Mapping
|
December 21, 2018
A concise and persistent feature to study brain resting-state network dynamics: Findings from the Alzheimer's Disease Neuroimaging Initiative
Liqun Kuang, Xie Han, Kewei Chen, et al.
Page
of 1