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CASIA OpenIR
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Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis 会议论文
, Honolulu, Hawaii, USA, 2018-7
作者:  Wang, Shuo;  Liu, Zhenyu;  Chen, Xi;  Zhu, Yongbei;  Zhou, Hongyu;  Tang, Zhenchao;  Wei, Wei;  Dong, Di;  Wang, Meiyun;  Tian, Jie
Adobe PDF(797Kb)  |  收藏  |  浏览/下载：414/125  |  提交时间：2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
Radiomics analysis allows for precise prediction of epilepsy in patients with low-grade gliomas 期刊论文
Neuroimage:Clinical, 2018, 期号: 19, 页码: 271-278
作者:  Liu zhenyu;  Wang Yinyan;  Liu Xing;  Du Yang;  Tang zhenchao;  Wang Kai;  Wei Jingwei;  Dong Di;  Zang yali;  Dai Jianping;  Jiang Tao;  Tian Jie
Adobe PDF(1730Kb)  |  收藏  |  浏览/下载：309/103  |  提交时间：2019/02/18
Low Grade Gliomas, Radiomics, Epilepsy, Elastic Net, T2wi  
Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 7, 页码: 2772-2778
作者:  Zhu, Xinzhong;  Dong, Di;  Chen, Zhendong;  Fang, Mengjie;  Zhang, Liwen;  Song, Jiangdian;  Yu, Dongdong;  Zang, Yali;  Liu, Zhenyu;  Shi, Jingyun;  Tian, Jie
Adobe PDF(896Kb)  |  收藏  |  浏览/下载：292/34  |  提交时间：2018/10/10
Aenocarcinoma  Diagnostic Imaging  Regression Analysis  Roc Curve  Squamous Cell Carcinoma  
Diagnosis of Distant Metastasis of Lung Cancer: Based on Clinical and Radiomic Features 期刊论文
TRANSLATIONAL ONCOLOGY, 2018, 卷号: 11, 期号: 1, 页码: 31-36
作者:  Zhou, Hongyu;  Dong, Di;  Chen, Bojiang;  Fang, Mengjie;  Cheng, Yue;  Gan, Yuncun;  Zhang, Rui;  Zhang, Liwen;  Zang, Yali;  Liu, Zhenyu;  Zheng, Hairong;  Li, Weimin;  Tian, Jie
Adobe PDF(626Kb)  |  收藏  |  浏览/下载：351/63  |  提交时间：2018/01/09
Radiomics  
White matter degeneration in subjective cognitive decline: a diffusion tensor imaging study 期刊论文
ONCOTARGET, 2016, 卷号: 7, 期号: 34, 页码: 54405-54414
作者:  Li, Xuan-yu;  Tang, Zhen-chao;  Sun, Yu;  Tian, Jie;  Liu, Zhen-yu;  Han, Ying;  Zhenyu Liu
Adobe PDF(4860Kb)  |  收藏  |  浏览/下载：375/79  |  提交时间：2016/10/14
Subjective Cognitive Decline  Diffusion Tensor Imaging  Preclinical Alzheimer's Disease  White Matter  Tract-based Spatial Statistics  
Dysfunctional whole brain networks in mild cognitive impairment patients: an fMRI study 会议论文
SPIE Medical Imaging, San Diego, 2012
作者:  Liu, Zhenyu;  Bai, Lijun;  Dai, Ruwei;  Zhong, Chongguang;  Xue, Ting;  You, Youbo;  Tian, Jie;  Tian Jie
Adobe PDF(462Kb)  |  收藏  |  浏览/下载：298/65  |  提交时间：2015/08/19
Fmri  
Exploring the effective connectivity of resting state networks in Mild Cognitive Impairment: an fMRI study combining ICA and multivariate Granger causality analysis 会议论文
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), San Diego, 2012
作者:  Liu, Zhenyu;  Bai, Lijun;  Dai, Ruwei;  Zhong, Chongguang;  Wang, Hu;  You, Youbo;  Wei, Wenjuan;  Tian, Jie;  Tian Jie
浏览  |  Adobe PDF(248Kb)  |  收藏  |  浏览/下载：338/121  |  提交时间：2015/08/19
Fmri  
Exploring the evolution of post-acupuncture resting-state networks combining ICA and multivariate Granger causality 会议论文
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Italy, 2011
作者:  Zhong, Chongguang;  Bai, Lijun;  Dai, Ruwei;  Xue, Ting;  Feng, Yuanyuan;  Wang, Hu;  Liu, Zhenyu;  You, Youbo;  Tian, Jie
Adobe PDF(862Kb)  |  收藏  |  浏览/下载：294/91  |  提交时间：2015/08/19
Multivariate Granger  Ica  Post-acupuncture Resting-state  
Altered topological patterns of brain networks in mild cognitive impairment and Alzheimer's disease: A resting-state fMRI study 期刊论文
PSYCHIATRY RESEARCH-NEUROIMAGING, 2012, 卷号: 202, 期号: 2, 页码: 118-125
作者:  Liu, Zhenyu;  Zhang, Yumei;  Yan, Hao;  Bai, Lijun;  Dai, Ruwei;  Wei, Wenjuan;  Zhong, Chongguang;  Xue, Ting;  Wang, Hu;  Feng, Yuanyuan;  You, Youbo;  Zhang, Xinghu;  Tian, Jie;  Tian Jie
浏览  |  Adobe PDF(843Kb)  |  收藏  |  浏览/下载：347/72  |  提交时间：2015/08/12
Alzheimer's Disease  Mild Cognitive Impairment  Functional Mri  Small-world Network  Nodal Centrality  
Investigation of the effective connectivity of resting state networks in Alzheimer's disease: a functional MRI study combining independent components analysis and multivariate Granger causality analysis 期刊论文
NMR IN BIOMEDICINE, 2012, 卷号: 25, 期号: 12, 页码: 1311-1320
作者:  Liu, Zhenyu;  Zhang, Yumei;  Bai, Lijun;  Yan, Hao;  Dai, Ruwei;  Zhong, Chongguang;  Wang, Hu;  Wei, Wenjuan;  Xue, Ting;  Feng, Yuanyuan;  You, Youbo;  Tian, Jie;  Tian Jie
Adobe PDF(297Kb)  |  收藏  |  浏览/下载：397/87  |  提交时间：2015/08/12
Alzheimer's Disease  Resting State Functional Mri  Effective Connectivity  Independent Components Analysis  Multivariate Granger Causality Analysis