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Deciphering the neural mechanisms of miR-134 in major depressive disorder with population-based and person-specific imaging transcriptomic techniques 期刊论文
PSYCHIATRY RESEARCH, 2023, 卷号: 329, 页码: 12
作者:  Lou, Jing;  Liu, Kai;  Wen, Junyan;  He, Yini;  Sun, Yuqing;  Tian, Xiaohan;  Hu, Ke;  Deng, Yanjia;  Liu, Bing;  Wen, Ge
收藏  |  浏览/下载：17/0  |  提交时间：2024/02/22
Major depressive disorder (MDD)  miR-134  Two -stage cross -scale imaging transcriptomic  analyses  Biomarkers  Multi-omics  
Distinct spatiotemporal subtypes of amyloid deposition are associated with diverging disease profiles in cognitively normal and mild cognitive impairment individuals 期刊论文
TRANSLATIONAL PSYCHIATRY, 2023, 卷号: 13, 期号: 1, 页码: 35
作者:  Sun, Yuqing;  Zhao, Yuxin;  Hu, Ke;  Wang, Meng;  Liu, Yong;  Liu, Bing
Adobe PDF(2656Kb)  |  收藏  |  浏览/下载：122/30  |  提交时间：2023/05/31
A Pathway-Specific Polygenic Risk Score Is Associated with Tau Pathology and Cognitive Decline 期刊论文
JOURNAL OF ALZHEIMERS DISEASE, 2022, 卷号: 85, 期号: 4, 页码: 1745-1754
作者:  Sun, Yuqing;  Wang, Meng;  Zhao, Yuxin;  Hu, Ke;  Liu, Yong;  Liu, Bing
Adobe PDF(695Kb)  |  收藏  |  浏览/下载：314/41  |  提交时间：2022/06/06
Alzheimer's disease  cognitive function genetic risk scores  pathway  tau  
Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder 期刊论文
BRAIN CONNECTIVITY, 2021, 卷号: 11, 期号: 10, 页码: 838-849
作者:  Sendi, Mohammad S. E.;  Zendehrouh, Elaheh;  Sui, Jing;  Fu, Zening;  Zhi, Dongmei;  Lv, Luxian;  Ma, Xiaohong;  Ke, Qing;  Li, Xianbin;  Wang, Chuanyue;  Abbott, Christopher C.;  Turner, Jessica A.;  Miller, Robyn L.;  Calhoun, Vince D.
收藏  |  浏览/下载：238/0  |  提交时间：2022/06/06
default mode network  dynamic functional network connectivity  machine learning  major depressive disorder  resting-state functional magnetic resonance imaging  
Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN plus 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7333-7348
作者:  Cheng, Ke;  Zhang, Yifan;  He, Xiangyu;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(3205Kb)  |  收藏  |  浏览/下载：247/13  |  提交时间：2021/11/03
Skeleton-based action recognition  graph convolutional network  lightweight network  shift network  
Motion Complementary Network for Efficient Action Recognition 会议论文
, 线上, January 2021
作者:  Cheng,Ke;  Zhang,Yifan;  Li,Chenghua;  Cheng,Jian;  Lu,Hanqing
Adobe PDF(1128Kb)  |  收藏  |  浏览/下载：260/61  |  提交时间：2021/07/23
Gesture recognition based on deep deformable 3D convolutional neural networks 期刊论文
PATTERN RECOGNITION, 2020, 期号: 107, 页码: 12
作者:  Zhang, Yifan;  Shi, Lei;  Wu, Yi;  Cheng, Ke;  Cheng, Jian;  Lu, Hanqing
浏览  |  Adobe PDF(1310Kb)  |  收藏  |  浏览/下载：446/130  |  提交时间：2020/08/31
Gesture recognition  Spatiotemporal deformable convolution  Spatiotemporal convolutional neural network  
Functional network connectivity (FNC)-based generative adversarial network (GAN) and its applications in classification of mental disorders 期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2020, 卷号: 341, 期号: 108756, 页码: 10
作者:  Zhao, Jianlong;  Huang, Jinjie;  Zhi, Dongmei;  Yan, Weizheng;  Ma, Xiaohong;  Yang, Xiao;  Li, Xianbin;  Ke, Qing;  Jiang, Tianzi;  Calhoun, Vince D.;  Sui, Jing
Adobe PDF(5325Kb)  |  收藏  |  浏览/下载：354/59  |  提交时间：2020/08/03
Resting-state fMRI  Generative adversarial networks (GAN)  Deep learning  Classification  Major depressive disorders  Schizophrenia  
Structurally Comparative Hinge Loss for Dependency-Based Neural Text Representation 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2020, 期号: 4, 页码: 19
作者:  Wang, Kexin;  Zhou, Yu;  Zhang, Jiajun;  Wang, Shaonan;  Zong, Chengqing
浏览  |  Adobe PDF(1553Kb)  |  收藏  |  浏览/下载：285/89  |  提交时间：2020/06/10
Text representation  graph convolutional networks  loss function  
Pixelwise Deep Sequence Learning for Moving Object Detection 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 9, 页码: 2567-2579
作者:  Chen, Yingying;  Wang, Jinqiao;  Zhu, Bingke;  Tang, Ming;  Lu, Hanqing
收藏  |  浏览/下载：258/0  |  提交时间：2019/12/16
Moving object detection  background modeling  moving object proposal  convolutional neural networks