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基于独立成分子空间支持向量机的精神疾病磁共振影像学分类研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
作者:  高爽
Adobe PDF(56801Kb)  |  收藏  |  浏览/下载:323/0  |  提交时间:2020/01/11
独立成分分析  子空间相似度  支持向量机  磁共振影像  精神疾病分类  
任务状态下皮层宏观及介观网络中的相互作用研究 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
作者:  牛威昆
Adobe PDF(5619Kb)  |  收藏  |  浏览/下载:344/8  |  提交时间:2019/12/30
任务态功能网络  高阶相互作用  神经同步活动  格兰杰因果  模式分类  
A novel Cerenkov luminescence tomography approach using multilayer fully connected neural network 期刊论文
Physics in Medicine & Biology, 2019, 卷号: 64, 期号: 2019, 页码: 245010
作者:  Zhang,Zeyu;  Cai,Meishan;  Gao,Yuan;  Shi,Xiaojing;  Zhang,Xiaojun;  Hu,Zhenhua;  Tian,Jie
Adobe PDF(3210Kb)  |  收藏  |  浏览/下载:370/72  |  提交时间:2020/03/30
Cerenkov luminescence tomography (CLT)  optical reconstruction  photon propagation  neural network  inverse problem  
Preliminary prediction of individual response to electroconvulsive therapy using whole-brain functional magnetic resonance imaging data 期刊论文
NeuroImage: Clinical, 2019, 卷号: 26, 期号: 102080, 页码: 1-9
作者:  Sun, Hailun;  Jiang, Rongtao;  Qi, Shile;  Katherine, L., Narr;  Benjamin, SC, Wade;  Joel, Upston;  Randall, Espinoza;  Tom, Jones;  Vince, D., Calhoun;  Christopher, C, Abbott;  Sui, Jing
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Individualized prediction  Electroconvulsive therapy (ECT)  Functional connectivity (FC)  Major depressive disorder (DEP)  Resting-state fMRI  HDRS  Treatment response  
Parallel group ICA plus ICA: Joint estimation of linked functional network variability and structural covariation with application to schizophrenia 期刊论文
HUMAN BRAIN MAPPING, 2019, 卷号: 40, 期号: 13, 页码: 3795-3809
作者:  Qi, Shile;  Sui, Jing;  Chen, Jiayu;  Liu, Jingyu;  Jiang, Rongtao;  Silva, Rogers;  Iraji, Armin;  Damaraju, Eswar;  Salman, Mustafa;  Lin, Dongdong;  Fu, Zening;  Zhi, Dongmei;  Turner, Jessica A.;  Bustillo, Juan;  Ford, Judith M.;  Mathalon, Daniel H.;  Voyvodic, James;  McEwen, Sarah;  Preda, Adrian;  Belger, Aysenil;  Potkin, Steven G.;  Mueller, Bryon A.;  Adali, Tulay;  Calhoun, Vince D.
Adobe PDF(6363Kb)  |  收藏  |  浏览/下载:352/0  |  提交时间:2019/12/16
group independent component analysis  multimodal fusion  parallel independent component analysis  schizophrenia  subjects' variability  temporal information  
Antitumorigenic and antiangiogenic efficacy of apatinib in liver cancer evaluated by multimodality molecular imaging 期刊论文
EXPERIMENTAL AND MOLECULAR MEDICINE, 2019, 卷号: 51, 页码: 11
作者:  Liang, Qian;  Kong, Lingxin;  Du, Yang;  Zhu, Xu;  Tian, Jie
Adobe PDF(2847Kb)  |  收藏  |  浏览/下载:444/103  |  提交时间:2019/12/16
A deep learning radiomics model for preoperative grading in meningioma 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 116, 页码: 128-134
作者:  Zhu, Yongbei;  Man, Chuntao;  Gong, Lixin;  Dong, Di;  Yu, Xinyi;  Wang, Shuo;  Fang, Mengjie;  Wang, Siwen;  Fang, Xiangming;  Chen, Xuzhu;  Tian, Jie
Adobe PDF(1336Kb)  |  收藏  |  浏览/下载:387/31  |  提交时间:2019/07/11
Radiomics  Deep learning  Meningioma  Tumor grading  Magnetic resonance imaging  
A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 7, 页码: 3325-3337
作者:  Tan, Yan;  Zhang, Shuai-tong;  Wei, Jing-wei;  Dong, Di;  Wang, Xiao-chun;  Yang, Guo-qiang;  Tian, Jie;  Zhang, Hui
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Astrocytoma  Radiomics  Nomogram  Isocitrate dehydrogenase  Survival  
CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 12, 页码: 6880-6890
作者:  Gu, Dongsheng;  Hu, Yabin;  Ding, Hui;  Wei, Jingwei;  Chen, Ke;  Liu, Hao;  Zeng, Mengsu;  Tian, Jie
Adobe PDF(1291Kb)  |  收藏  |  浏览/下载:369/64  |  提交时间:2020/03/30
Neoplasm grading  Pancreas  Neuroendocrine tumor  Radiomics  CT  
Activation-based association profiles differentiate network roles across cognitive loads 期刊论文
HUMAN BRAIN MAPPING, 2019, 卷号: 40, 期号: 9, 页码: 2800-2812
作者:  Zuo, Nianming;  Salami, Alireza;  Yang, Yihong;  Yang, Zhengyi;  Sui, Jing;  Jian, Tianzi
浏览  |  Adobe PDF(2320Kb)  |  收藏  |  浏览/下载:437/96  |  提交时间:2019/07/12
association  cognitive performance  functional activation  functional magnetic resonance imaging (fMRI)  working memory