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Robust Global Optimized Affine Registration Method for Microscopic Images of Biological Tissue 会议论文
, Barcelona, Spain, 4-8 May 2020
作者:  Lv YN(吕亚楠);  Chen X(陈曦);  Shu C(舒畅);  Han H(韩华)
Adobe PDF(579Kb)  |  收藏  |  浏览/下载：204/56  |  提交时间：2021/05/26
Volume reconstruction  registration  affine transformation  
Deep Contextual Residual Network for Electron Microscopy Image Segmentation in Connectomics 会议论文
, 2018-4, 美国华盛顿
作者:  Xiao C(肖驰);  Liu J(刘静);  Chen X(陈曦);  Han H(韩华);  Shu C(舒畅);  Xie QW(谢启伟)
浏览  |  Adobe PDF(614Kb)  |  收藏  |  浏览/下载：309/126  |  提交时间：2019/05/10
Connectomics, Deep Learning, Image Segmentation, Electron Microscopy  
A Refined Spatial Transformer Network 会议论文
, Siem Reap, Cambodia, 13-16 December, 2018
作者:  Shu, Chang;  Chen, Xi;  Yu, Chong;  Han, Hua
浏览  |  Adobe PDF(1085Kb)  |  收藏  |  浏览/下载：402/150  |  提交时间：2018/10/09
Spatial invariance  Geometrical distortion  Spatial transformer networks  Motion field  Refined spatial transformer network  
An unsupervised network for fast microscopic image registration 会议论文
Medical Imaging 2018: Digital Pathology, Houston, Texas, United States, 10-15 FEBRUARY, 2018
作者:  Shu, Chang;  Chen, Xi;  Xie, Qiwei;  Han, Hua
浏览  |  Adobe PDF(1167Kb)  |  收藏  |  浏览/下载：350/118  |  提交时间：2018/10/08
Microscopic image registration  deep learning  unsupervised learning  coarse-to-fine multi-scale iterative scheme  
Non-iterative simultaneous rigid registration method for serial sections of biological tissue 会议论文
, Washington, DC, USA, 4-7 April 2018
作者:  Shu, Chang;  Chen, Xi;  Xie, Qiwei;  Xiao, Chi;  Han, Hua
浏览  |  Adobe PDF(353Kb)  |  收藏  |  浏览/下载：283/103  |  提交时间：2018/10/08
serial section  microscopic image  volume reconstruction  constrained simultaneous registration problem  rigid transformation  non-iterative  
GAN based Sample Simulation for SEM-Image Super Resolution 会议论文
, Tianjin, China, 2017-10-12
作者:  Yang MK(杨茂柯);  Li Guoqing(李国庆);  Shu Chang(舒畅);  Pan Zhao(赵盼);  Hua Han(韩华)
浏览  |  Adobe PDF(4248Kb)  |  收藏  |  浏览/下载：398/129  |  提交时间：2018/07/03
Image Super Resolution  Generative Adversarial Network  Scanning Electric Microscope