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STDIN: Spatio-temporal distilled interpolation for electron microscope images 期刊论文
NEUROCOMPUTING, 2022, 卷号: 505, 页码: 188-202
作者:  Wang, Zejin;  Sun, Guodong;  Li, Guoqing;  Shen, Lijun;  Zhang, Lina;  Han, Hua
Adobe PDF(6579Kb)  |  收藏  |  浏览/下载：224/22  |  提交时间：2022/11/14
Spatio-temporal ensemble  Feedback distillation  Electron microscope interpolation  
In-Hand Object Localization Using a Novel High-Resolution Visuotactile Sensor 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 6, 页码: 6015-6025
作者:  Cui, Shaowei;  Wang, Rui;  Hu, Jingyi;  Wei, Junhang;  Wang, Shuo;  Lou, Zheng
Adobe PDF(4222Kb)  |  收藏  |  浏览/下载：259/51  |  提交时间：2022/06/06
In-hand object localization  robotic manipulation  tactile sensor  
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：285/40  |  提交时间：2022/01/27
3D reconstruction  ATUM-SEM  deep learning  liver  ER  MCSs  
Application of Horseradish Peroxidase Labeling Along With Post-Staining Improves Data Quality in Micro-Brain Connectomics 期刊论文
PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 2020, 卷号: 47, 期号: 10, 页码: 1090-1096
作者:  Wang Sheng-Xiong;  Chen Zhen-Qiang;  Han Hua;  Guo Ai-Ke
收藏  |  浏览/下载：141/0  |  提交时间：2021/01/06
brain connectomics  volume electron microscopy  sample preparation  
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：268/60  |  提交时间：2020/09/21
mitochondria  endoplasmic reticulum  electron microscopes  segmentation  3D reconstruction  
Bayesian Automatic Model Compression 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 4, 页码: 727-736
作者:  Wang, Jiaxing;  Bai, Haoli;  Wu, Jiaxiang;  Cheng, Jian
Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：259/50  |  提交时间：2020/12/04
Quantization  automatic machine learning  model compression  Bayes methods  Mathematical model  Training  Mixture models  Optimization  Machine learning  Bayesian learning  quantizartion  explainability  
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
浏览  |  Adobe PDF(5512Kb)  |  收藏  |  浏览/下载：497/152  |  提交时间：2020/06/02
TREATMENT-RESISTANT SCHIZOPHRENIA,RESTING-STATE FMRI,FUNCTIONAL CONNECTIVITY,DOPAMINE HYPOTHESIS,GENE-EXPRESSION,NETWORK  
A Noniterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissues 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 3, 页码: 14
作者:  Shu, Chang;  Li, Lin-Lin;  Li, Guoqing;  Chen, Xi;  Han, Hua
浏览  |  Adobe PDF(3363Kb)  |  收藏  |  浏览/下载：347/60  |  提交时间：2020/06/22
image registration  volume reconstruction from series of microscopy sections  constrained simultaneous registration problem  noniterative algorithm  
Dual Networks for High-Precision and High-Speed Registration of Brain Electron Microscopy Images 期刊论文
Brain Sciences, 2020, 卷号: 10, 期号: 2, 页码: 86
作者:  Shu, Chang;  Xin, Tong;  Zhou, Fangxu;  Chen, Xi;  Han, Hua
浏览  |  Adobe PDF(1388Kb)  |  收藏  |  浏览/下载：243/55  |  提交时间：2020/04/27
Computer Vision  Image Processing  Deep Learning  Image Registration  Electron Microscopy Image  Dual Network Architecture  Unsupervised Learning