CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共10条,第1-10条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
Expected affine: A registration method for damaged section in serial sections electron microscopy 期刊论文
FRONTIERS IN NEUROINFORMATICS, 2022, 卷号: 16, 页码: 11
作者:  Xin, Tong;  Shen, Lijun;  Li, Linlin;  Chen, Xi;  Han, Hua
收藏  |  浏览/下载:205/0  |  提交时间:2022/11/14
image registration  SSEM  broken sections  section fold  section crack  
Denoising of scanning electron microscope images for biological ultrastructure enhancement 期刊论文
JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 2022, 卷号: 20, 期号: 03, 页码: 21
作者:  Chang, Sheng;  Shen, Lijun;  Li, Linlin;  Chen, Xi;  Han, Hua
Adobe PDF(4726Kb)  |  收藏  |  浏览/下载:278/37  |  提交时间:2022/09/19
SEM  noise model  denoising  variance stabilization transformation  two-stage multi-loss  deep learning  
Synaptic degeneration in the prefrontal cortex of a rat AD model revealed by volume electron microscopy 期刊论文
Journal of Molecular Cell Biology, 2022, 页码: 已录用
作者:  Yi Jiang;  Linlin Li;  Keliang Pang;  Jiazheng Liu;  Bohao Chen;  Jingbin Yuan;  Lijun Shen;  Xi Chen;  Bai Lu;  Hua Han
Adobe PDF(689Kb)  |  收藏  |  浏览/下载:387/160  |  提交时间:2022/07/01
An Effective Encoder-Decoder Network for Neural Cell Bodies and Cell Nucleus Segmentation of EM Images 会议论文
, 德国柏林, 2019-7
作者:  Jiang Yi;  Xiao Chi;  Li Linlin;  Shen Lijun;  Chen Xi;  Han Hua
Adobe PDF(6217Kb)  |  收藏  |  浏览/下载:194/51  |  提交时间:2022/06/14
Encoder-Decoder  Electron Microscopy  Neural Cell Bodies  Cell Nucleus  Image Segmentation  
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:306/41  |  提交时间:2022/01/27
3D reconstruction  ATUM-SEM  deep learning  liver  ER  MCSs  
An App knock-in rat model for Alzheimer's disease exhibiting A beta and tau pathologies, neuronal death and cognitive impairments 期刊论文
CELL RESEARCH, 2021, 页码: 19
作者:  Pang, Keliang;  Jiang, Richeng;  Zhang, Wei;  Yang, Zhengyi;  Li, Lin-Lin;  Shimozawa, Makoto;  Tambaro, Simone;  Mayer, Johanna;  Zhang, Baogui;  Li, Man;  Wang, Jiesi;  Liu, Hang;  Yang, Ailing;  Chen, Xi;  Liu, Jiazheng;  Winblad, Bengt;  Han, Hua;  Jiang, Tianzi;  Wang, Weiwen;  Nilsson, Per;  Guo, Wei;  Lu, Bai
收藏  |  浏览/下载:226/0  |  提交时间:2021/12/28
A Noniterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissues 期刊论文
APPLIED SCIENCES-BASEL, 2019, 期号: 3, 页码: 14
作者:  Chang Shu;  Linlin Li;  Guoqing Li;  Xi Chen;  Hua Han
Adobe PDF(3363Kb)  |  收藏  |  浏览/下载:182/57  |  提交时间:2020/10/14
image registrationvolume reconstruction from series of microscopy sectionsconstrained simultaneous registration problemnoniterative algorithm  
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
Adobe PDF(1944Kb)  |  收藏  |  浏览/下载:287/66  |  提交时间:2020/09/21
mitochondria  endoplasmic reticulum  electron microscopes  segmentation  3D reconstruction  
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
Adobe PDF(3363Kb)  |  收藏  |  浏览/下载:376/62  |  提交时间:2020/06/22
image registration  volume reconstruction from series of microscopy sections  constrained simultaneous registration problem  noniterative algorithm  
Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network 期刊论文
FRONTIERS IN NEUROANATOMY, 2018, 期号: 12, 页码: 92
作者:  Xiao, Chi;  Chen, Xi;  Li, Weifu;  Li, Linlin;  Wang, Lu;  Xie, Qiwei;  Han, Hua
Adobe PDF(3873Kb)  |  收藏  |  浏览/下载:428/77  |  提交时间:2019/01/08
electron microscope  deep learning  volumetric mitochondria segmentation  mitochondria morphology  neuroinformatics