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Deep residual contextual and subpixel convolution network for automated neuronal structure segmentation in micro-connectomics 期刊论文
Computer Methods and Programs in Biomedicine, 2022, 卷号: 219, 页码: 106759
作者:  Xiao, Chi;  Hong, Bei;  Liu, Jing;  Tang, Yuanyan;  Xie, Qiwei;  Han, Hua
Adobe PDF(2731Kb)  |  收藏  |  浏览/下载：324/78  |  提交时间：2023/01/12
Deep learning  Neuronal structure segmentation  Subpixel convolution  Electron microscopy  Micro-Connectomics  
Virus Identification in Electron Microscopy Images by Residual Mixed Attention Network 期刊论文
Computer Methods and Programs in Biomedicine, 2021, 卷号: 198, 期号: 198, 页码: 105766
作者:  Xiao, Chi;  Chen, Xi;  Xie, Qiwei;  Li, Guoqing;  Xiao, Hao;  Song, Jingdong;  Han, Hua
浏览  |  Adobe PDF(2439Kb)  |  收藏  |  浏览/下载：369/83  |  提交时间：2020/10/24
Virus identification  viral morphology  transmission electron microscopy  deep learning  attention mechanism  
Effective automated pipeline for 3D reconstruction of synapses based on deep learning 期刊论文
BMC Bioinformatics, 2018, 卷号: 19, 期号: 1, 页码: 263
作者:  Xiao, Chi;  Li, Weifu;  Deng, Hao;  Chen, Xi;  Yang, Yang;  Xie, QiWei;  Han, Hua
浏览  |  Adobe PDF(7961Kb)  |  收藏  |  浏览/下载：358/110  |  提交时间：2019/05/06
Electron Microscope, Synapse Detection, Deep Learning, Synapse Segmentation, 3d Reconstruction Of Synapses  
An automated pipeline for bouton, spine, and synapse detection of in vivo two-photon images 期刊论文
BIODATA MINING, 2017, 卷号: 10, 期号: 10, 页码: 40
作者:  Xie, Qiwei;  Chen, Xi;  Deng, Hao;  Liu, Danqian;  Sun, Yingyu;  Zhou, Xiaojuan;  Yang, Yang;  Han, Hua
浏览  |  Adobe PDF(3659Kb)  |  收藏  |  浏览/下载：579/180  |  提交时间：2018/10/09
In Vivo Two-photon imagIng  Synapse  Bouton  Spine  Image Enhancement  
An automated pipeline for mitochondrial segmentation on ATUM-SEM stacks 期刊论文
JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 2017, 卷号: 15, 期号: 3, 页码: 1750015
作者:  Li, Weifu;  Deng, Hao;  Rao, Qiang;  Xie, Qiwei;  Chen, Xi;  Han, Hua
浏览  |  Adobe PDF(1028Kb)  |  收藏  |  浏览/下载：395/144  |  提交时间：2017/09/12
Atum-sem  Membrane Enhancement  Mitochondria  Group-similarity