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与人共融的服务机器人视觉感知与导航方法研究 学位论文
, 北京: 中国科学院大学, 2018
作者:  孙世颖
Adobe PDF(24899Kb)  |  收藏  |  浏览/下载:401/5  |  提交时间:2018/12/25
多变量分析方法在静息态功能磁共振影像中的研究与应用 学位论文
, 北京: 中国科学院大学, 2018
作者:  荆日星
Adobe PDF(19557Kb)  |  收藏  |  浏览/下载:399/6  |  提交时间:2018/12/14
静息态功能磁共振影像  多变量分析方法  脑功能网络  前向选择算法  精神分裂症  精神分裂症一级亲属  威尔逊氏病  生物标记  
Diagnostic accuracy of dual-energy CT-based nomograms to predict lymph node metastasis in gastric cancer 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 12, 页码: 5241-5249
作者:  Li, Jing;  Fang, Mengjie;  Wang, Rui;  Dong, Di;  Tian, Jie;  Liang, Pan;  Liu, Jie;  Gao, Jianbo
Adobe PDF(2248Kb)  |  收藏  |  浏览/下载:298/27  |  提交时间:2019/07/12
Gastric cancer  Dual-energy CT  Lymph node metastasis  Nomogram  
Connectome-based individualized prediction of temperament trait scores 期刊论文
NEUROIMAGE, 2018, 卷号: 183, 期号: NA, 页码: 366-374
作者:  Jiang, Rongtao;  Calhoun, Vince D.;  Zuo, Nianming;  Lin, Dongdong;  Li, Jin;  Fan, Lingzhong;  Qi, Shile;  Sun, Hailun;  Fu, Zening;  Song, Ming;  Jiang, Tianzi;  Sui, Jing
浏览  |  Adobe PDF(2691Kb)  |  收藏  |  浏览/下载:498/94  |  提交时间:2019/01/08
Individualized prediction  Temperament traits  Functional connectivity  Reward processing  Temperament and character inventory (TCI)  
Modeling of Brain Computer Interface-aided Training in Rehabilitation 会议论文
, Dalian, China, December 21-23, 2018
作者:  Guanxiong Zeng;  Yang Chen;  Shan Yu
浏览  |  Adobe PDF(638Kb)  |  收藏  |  浏览/下载:419/104  |  提交时间:2019/04/08
Preoperative radiomics nomogramfor microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT 期刊论文
European Raidology, 2018, 期号: 1, 页码: 11
作者:  Ma Xiaohong;  Wei Jingwei;  Gu Dongsheng;  Zhu Yongjian;  Feng Bing;  Liang Meng;  Wang Shuang;  Zhao Xinming;  Tian Jie
浏览  |  Adobe PDF(1156Kb)  |  收藏  |  浏览/下载:316/99  |  提交时间:2019/05/08
Hepatocellular Carcinoma  Microvessel  Forecasting  Imaging  Three-dimensional Tomography  
Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas 期刊论文
JOURNAL OF NEURO-ONCOLOGY, 2018, 卷号: 140, 期号: 2, 页码: 297-306
作者:  Han, Yuqi;  Xie, Zhen;  Zang, Yali;  Zhang, Shuaitong;  Gu, Dongsheng;  Zhou, Mu;  Gevaert, Olivier;  Wei, Jingwei;  Li, Chao;  Chen, Hongyan;  Du, Jiang;  Liu, Zhenyu;  Dong, Di;  Tian, Jie;  Zhou, Dabiao
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Lower-grade glioma  1p19q Co-deletion  Prediction  Radiomics  Magnetic resonance imaging  
A Schizophrenia-Related Genetic-Brain-Cognition Pathway Revealed in a Large Chinese Population 期刊论文
EBIOMEDICINE, 2018, 卷号: 37, 期号: 2018, 页码: 471-482
作者:  Luo, Na;  Sui, Jing;  Chen, Jiayu;  Zhang, Fuquan;  Tian, Lin;  Lin, Dongdong;  Song, Ming;  Calhoun, Vince D.;  Cui, Yue;  Vergara, Victor M.;  Zheng, Fanfan;  Liu, Jingyu;  Yang, Zhenyi;  Zuo, Nianming;  Fan, Lingzhong;  Xu, Kaibin;  Liu, Shengfeng;  Li, Jian;  Xu, Yong;  Liu, Sha;  Lv, Luxian;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Yan, Hao;  Yan, Jun;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi
浏览  |  Adobe PDF(3297Kb)  |  收藏  |  浏览/下载:438/90  |  提交时间:2019/07/12
Schizophrenia  Multimodal fusion  Genetic-brain-cognition pathway  Working memory  Mediation analysis  
Machine learning in major depression: From classification to treatment outcome prediction 期刊论文
CNS NEUROSCIENCE & THERAPEUTICS, 2018, 卷号: 24, 期号: 11, 页码: 1037-1052
作者:  Gao, Shuang;  Calhoun, Vince D.;  Sui, Jing
浏览  |  Adobe PDF(1954Kb)  |  收藏  |  浏览/下载:310/58  |  提交时间:2019/01/08
classification  machine learning  magnetic resonance imaging  major depressive disorder  review  
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
作者:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
浏览  |  Adobe PDF(1623Kb)  |  收藏  |  浏览/下载:435/115  |  提交时间:2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning