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Three-dimensional ATUM-SEM reconstruction and analysis of hepatic endoplasmic reticulum-organelle interactions 期刊论文
JOURNAL OF MOLECULAR CELL BIOLOGY, 2021, 卷号: 13, 期号: 9, 页码: 636-645
作者:  Jiang, Yi;  Li, Linlin;  Chen, Xi;  Liu, Jiazheng;  Yuan, Jingbin;  Xie, Qiwei;  Han, Hua
Adobe PDF(1914Kb)  |  收藏  |  浏览/下载：287/40  |  提交时间：2022/01/27
3D reconstruction  ATUM-SEM  deep learning  liver  ER  MCSs  
Automatic Reconstruction of Mitochondria and Endoplasmic Reticulum in Electron Microscopy Volumes by Deep Learning 期刊论文
FRONTIERS IN NEUROSCIENCE, 2020, 期号: 14, 页码: 13
作者:  Liu, Jing;  Li, Linlin;  Yang, Yang;  Hong, Bei;  Chen, Xi;  Xie, Qiwei;  Han, Hua
浏览  |  Adobe PDF(1944Kb)  |  收藏  |  浏览/下载：270/60  |  提交时间：2020/09/21
mitochondria  endoplasmic reticulum  electron microscopes  segmentation  3D reconstruction  
A neuroimaging biomarker for striatal dysfunction in schizophrenia 期刊论文
NATURE MEDICINE, 2020, 卷号: 26, 期号: 26, 页码: 27
作者:  Li, Ang;  Zalesky, Andrew;  Yue, Weihua;  Howes, Oliver;  Yan, Hao;  Liu, Yong;  Fan, Lingzhong;  Whitaker, Kirstie J.;  Xu, Kaibin;  Rao, Guangxiang;  Li, Jin;  Liu, Shu;  Wang, Meng;  Sun, Yuqing;  Song, Ming;  Li, Peng;  Chen, Jun;  Chen, Yunchun;  Wang, Huaning;  Liu, Wenming;  Li, Zhigang;  Yang, Yongfeng;  Guo, Hua;  Wan, Ping;  Lv, Luxian;  Lu, Lin;  Yan, Jun;  Song, Yuqing;  Wang, Huiling;  Zhang, Hongxing;  Wu, Huawang;  Ning, Yuping;  Du, Yuhui;  Cheng, Yuqi;  Xu, Jian;  Xu, Xiufeng;  Zhang, Dai;  Wang, Xiaoqun;  Jiang, Tianzi;  Liu, Bing
Adobe PDF(5512Kb)  |  收藏  |  浏览/下载：500/152  |  提交时间：2020/06/02
TREATMENT-RESISTANT SCHIZOPHRENIA,RESTING-STATE FMRI,FUNCTIONAL CONNECTIVITY,DOPAMINE HYPOTHESIS,GENE-EXPRESSION,NETWORK  
Connecting Model-Based and Model-Free Control With Emotion Modulation in Learning Systems 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 10, 期号: 4, 页码: 1-15
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong
Adobe PDF(1614Kb)  |  收藏  |  浏览/下载：250/84  |  提交时间：2020/06/09
Brain-inspired computing  decision-making  emotion modulation  emotion-cognition interactions  reinforcement learning