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Brainnetome atlas of preadolescent children based on anatomical connectivity profiles 期刊论文
CEREBRAL CORTEX, 2022, 页码: 12
Authors:  Li, Wen;  Fan, Lingzhong;  Shi, Weiyang;  Lu, Yuheng;  Li, Jin;  Luo, Na;  Wang, Haiyan;  Chu, Congying;  Ma, Liang;  Song, Ming;  Li, Kaixin;  Cheng, Luqi;  Cao, Long;  Jiang, Tianzi
Favorite  |  View/Download:6/0  |  Submit date:2022/11/14
anatomical connectivity  Brainnetome atlas  development  diffusion magnetic resonance imaging  preadolescent child  
Two subtypes of schizophrenia identified by an individual-level atypical pattern of tensor-based morphometric measurement 期刊论文
CEREBRAL CORTEX, 2022, 页码: 18
Authors:  Shi, Weiyang;  Fan, Lingzhong;  Wang, Haiyan;  Liu, Bing;  Li, Wen;  Li, Jin;  Cheng, Luqi;  Chu, Congying;  Song, Ming;  Sui, Jing;  Luo, Na;  Cui, Yue;  Dong, Zhenwei;  Lu, Yuheng;  Ma, Yawei;  Ma, Liang;  Li, Kaixin;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Lv, Luxian;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Yan, Hao;  Yan, Jun;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi
Favorite  |  View/Download:35/0  |  Submit date:2022/09/19
schizophrenia  subtype  structural MRI  neuroimaging-clinic association analysis  neuroimaging-transcription association analysis  
Triple-strip attention mechanism-based natural disaster images classification and segmentation 期刊论文
VISUAL COMPUTER, 2022, 页码: 11
Authors:  Ma, Zhihao;  Yuan, Mengke;  Gu, Jiaming;  Meng, Weiliang;  Xu, Shibiao;  Zhang, Xiaopeng
Favorite  |  View/Download:22/0  |  Submit date:2022/07/25
Natural disaster image analysis  Image segmentation  Attention mechanism  
Efficient convolutional networks learning through irregular convolutional kernels 期刊论文
NEUROCOMPUTING, 2022, 卷号: 489, 页码: 167-178
Authors:  Guo, Weiyu;  Ma, Jiabin;  Ouyang, Yidong;  Wang, Liang;  Huang, Yongzhen
Favorite  |  View/Download:40/0  |  Submit date:2022/06/10
Model compression  Interpolation  Irregular convolutional kernels  
A Novel Deep Learning Bi-GRU-I Model for Real-Time Human Activity Recognition Using Inertial Sensors 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 6, 页码: 6164-6174
Authors:  Tong, Lina;  Ma, Hanghang;  Lin, Qianzhi;  He, Jiaji;  Peng, Liang
Favorite  |  View/Download:29/0  |  Submit date:2022/06/10
Sensors  Feature extraction  Deep learning  Inertial sensors  Data mining  Convolutional neural networks  Accelerometers  Human activity recognition (HAR)  inertial sensor  deep learning  Bi-GRU  inception architecture  
Unrevealing Reliable Cortical Parcellation of Individual Brains Using Resting-State Functional Magnetic Resonance Imaging and Masked Graph Convolutions 期刊论文
FRONTIERS IN NEUROSCIENCE, 2022, 卷号: 16, 页码: 14
Authors:  Qiu, Wenyuan;  Ma, Liang;  Jiang, Tianzi;  Zhang, Yu
Favorite  |  View/Download:35/0  |  Submit date:2022/06/10
functional connectivity  cortical parcellation  intersubject variability  topographic variability  resting-state fMRI (rfMRI)  test-retest reliability  graph neural network  
Dynamic reconfiguration of human brain networks across altered states of consciousness 期刊论文
BEHAVIOURAL BRAIN RESEARCH, 2022, 卷号: 419, 页码: 11
Authors:  Liu, Haiyang;  Hu, Ke;  Peng, Yingjie;  Tian, Xiaohan;  Wang, Meng;  Ma, Bo;  Wu, Youxuan;  Sun, Wanchen;  Liu, Bing;  Li, Ang;  Han, Ruquan
Favorite  |  View/Download:34/0  |  Submit date:2022/06/06
Functional magnetic resonance imaging  Multilayer networks  Dynamic functional connectivity  Consciousness  Sedation  Dexmedetomidine  
BaMBNet: A Blur-Aware Multi-Branch Network for Dual-Pixel Defocus Deblurring 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 878-892
Authors:  Pengwei Liang;  Junjun Jiang;  Xianming Liu;  Jiayi Ma
Adobe PDF(12217Kb)  |  Favorite  |  View/Download:30/1  |  Submit date:2022/04/24
Blur kernel  convolutional neural networks (CNNs)  defocus deblurring  dual-pixel (DP) data  meta-learning  
Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation 会议论文
, New Orleans, Louisiana, 2022-06
Authors:  Zongyang Ma;  Guan Luo;  Jin Gao;  Liang L;  Yuxin Chen;  Shaoru Wang;  Congxuan Zhang;  Weiming Hu
Adobe PDF(1668Kb)  |  Favorite  |  View/Download:45/7  |  Submit date:2022/04/06
Deep Learning With Data Enhancement for the Differentiation of Solitary and Multiple Cerebral Glioblastoma, Lymphoma, and Tumefactive Demyelinating Lesion 期刊论文
FRONTIERS IN ONCOLOGY, 2021, 卷号: 11, 页码: 9
Authors:  Zhang, Yu;  Liang, Kewei;  He, Jiaqi;  Ma, He;  Chen, Hongyan;  Zheng, Fei;  Zhang, Lingling;  Wang, Xinsheng;  Ma, Xibo;  Chen, Xuzhu
Favorite  |  View/Download:53/0  |  Submit date:2021/11/03
glioblastoma  lymphoma  tumefactive demyelination  differential diagnosis  deep learning