中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共6条，第1-6条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
A High-Powered Brain Age Prediction Model Based On Convolutional Neural Network 会议论文
, Iowa, USA, 2020年4月3日-2020年4月7日
作者:  Rao, Guangxiang;  Li, Ang;  Liu, Yong;  Liu, Bing
浏览  |  Microsoft Word(11970Kb)  |  收藏  |  浏览/下载：217/50  |  提交时间：2020/06/22
Brain age prediction, structural magnetic resonance image， Convolutional Neural Network, Inception Net, global average pooling  
Improving Learning Efficiency of Recurrent Neural Network through Adjusting Weights of All Layers in a Biologically-inspired Framework 会议论文
, Anchorage, AK, USA, 2017-5-14
作者:  Huang, Xiao;  Wu, Wei;  Yin, Peijie;  Qiao, Hong
浏览  |  Adobe PDF(466Kb)  |  收藏  |  浏览/下载：213/51  |  提交时间：2020/06/09
Brain-inspired model  emotion  motion learning  recurrent neural network  
Brain vascular image Segmentation Based on Fuzzy Local Information C-Means Clustering 会议论文
, San Francisco, California United States, 28 January - 2 February 2017
作者:  Hu, Chaoen;  Liu, Xia;  Liang,Xiao;  Hui, Hui;  Yang, Xin;  Tian, Jie
浏览  |  Adobe PDF(474Kb)  |  收藏  |  浏览/下载：283/104  |  提交时间：2018/01/02
Brain Vascular Image Enhancement  Feedforward Neural Network  Fuzzy Local Information C-means Clustering  
Towards a Brain-inspired Developmental Neural Network by Adaptive Synaptic Pruning 会议论文
, Guangzhou, China, 2017, November 14-18
作者:  Zhao Feifei;  Zhang Tielin;  Zeng Yi;  Xu Bo
浏览  |  Adobe PDF(387Kb)  |  收藏  |  浏览/下载：252/68  |  提交时间：2019/04/30
Brain-inspired Developmental Neural Network  Brain-inspired Pruning Rules  Structural Plasticity  Network Adaptability  Synaptic Pruning  
Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields 会议论文
, Athens, Greece, 2016-10
作者:  Zhao, Xiaomei;  Wu, Yihong;  Song, Guidong;  Li, Zhenye;  Fan, Yong;  Zhang, Yazhuo
浏览  |  Adobe PDF(1784Kb)  |  收藏  |  浏览/下载：239/59  |  提交时间：2020/05/07
Brain Tumor Segmentation  Magnetic Resonance Image  Fully Convolutional Neural Network  Conditional Random Fields  Recurrent Neural Network  
Semi-Supervised Learning of Brain Functional Networks 会议论文
, Beijing, China, 2014
作者:  Yuhui Du;  Sui Jing(隋婧);  Qingbao Yu;  Hao He;  Vince D Calhoun
收藏  |  浏览/下载：111/0  |  提交时间：2018/03/09
Semi-supervised Learning  Brain Functional Network  Independent Component Analysis  Clustering  Fmri Data  Mri