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基于磁共振成像的个体化脑功能和行为预测研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
Authors:  吴东亚
Adobe PDF(5920Kb)  |  Favorite  |  View/Download:17/1  |  Submit date:2019/06/06
脑结构连接  脑功能  人类行为  个体化预测  磁共振成像  
基于磁共振成像的个体化脑图谱绘制及方法研究} 学位论文
, 中国科学院自动化所: 中国科学院自动化所, 2019
Authors:  张瀚天
Adobe PDF(13840Kb)  |  Favorite  |  View/Download:6/1  |  Submit date:2019/06/14
磁共振成像,个体化脑图谱,有监督学习,纤维跟踪,扩散张量成像  
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges 期刊论文
Theranostics, 2019, 卷号: 9, 期号: 5, 页码: 1303-1322
Authors:  Liu, Zhenyu;  Wang, Shuo;  Dong, Di;  Wei, Jingwei;  Fang, Cheng;  Zhou, Xuezhi;  Sun, Kai;  Li, Longfei;  Li, Bo;  Wang, Meiyun;  Tian, Jie
View  |  Adobe PDF(2057Kb)  |  Favorite  |  View/Download:18/1  |  Submit date:2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
Reconstruction of behavior-relevant individual brain activity: an individualized fMRI study 期刊论文
SCIENCE CHINA Life Sciences, 2019, 期号: 暂无, 页码: 暂无
Authors:  Wu DY(吴东亚)
View  |  Adobe PDF(966Kb)  |  Favorite  |  View/Download:7/3  |  Submit date:2019/06/19
Individual Difference, Brain Function, Behavior, Prediction, Fmri  
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
Authors:  荆日星
Adobe PDF(19557Kb)  |  Favorite  |  View/Download:85/5  |  Submit date: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  
Connectome-based individualized prediction of temperament trait scores 期刊论文
NEUROIMAGE, 2018, 卷号: 183, 页码: 366-374
Authors:  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
Favorite  |  View/Download:18/0  |  Submit date:2019/01/08
Individualized prediction  Temperament traits  Functional connectivity  Reward processing  Temperament and character inventory (TCI)  
多中心精神分裂症的模式分类研究 学位论文
工学硕士, 北京: 中国科学院大学, 2018
Authors:  周奥军
Adobe PDF(11981Kb)  |  Favorite  |  View/Download:66/2  |  Submit date:2018/12/17
精神分裂症,深度神经网络,模型可解释性,多站点模型  
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
Authors:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
View  |  Adobe PDF(1623Kb)  |  Favorite  |  View/Download:17/3  |  Submit date:2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning  
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
Authors:  Liu zhenyu;  Wang Yinyan;  Liu Xing;  Du Yang;  Tang zhenchao;  Wang Kai;  Wei Jingwei;  Dong Di;  Zang yali;  Dai Jianping;  Jiang Tao;  Tian Jie
View  |  Adobe PDF(1730Kb)  |  Favorite  |  View/Download:37/10  |  Submit date:2019/02/18
Low Grade Gliomas, Radiomics, Epilepsy, Elastic Net, T2wi  
Combining Disrupted and Discriminative Topological Properties of Functional Connectivity Networks as Neuroimaging Biomarkers for Accurate Diagnosis of Early Tourette Syndrome Children 期刊论文
MOLECULAR NEUROBIOLOGY, 2018, 卷号: 55, 期号: 4, 页码: 3251-3269
Authors:  Wen, Hongwei;  Liu, Yue;  Rekik, Islem;  Wang, Shengpei;  Chen, Zhiqiang;  Zhang, Jishui;  Zhang, Yue;  Peng, Yun;  He, Huiguang;  He HG(何晖光)
View  |  Adobe PDF(6672Kb)  |  Favorite  |  View/Download:128/50  |  Submit date:2017/06/06
Tourette Syndrome  Children  Functional Connectivity  Graph Theory  Topological Organization  Similarity Network Fusion