CASIA OpenIR

浏览/检索结果: 共62条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
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  
The fluorescence molecular imaging and tomography of matrix metalloproteinase-activatable near infrared fluorescence probe and image-guided orthotopic glioma resection 期刊论文
Molecular Imaging and Biology, 2018, 卷号: 20, 期号: 6, 页码: 930-939
作者:  Li Li;  Du Yang;  Chen xinjian;  Tian Jie
浏览  |  Adobe PDF(6862Kb)  |  收藏  |  浏览/下载:407/80  |  提交时间:2019/02/18
Matrix Metalloproteinase, Image-guided Surgery, Glioma, Fluorescence Molecular Tomography  
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:499/94  |  提交时间:2019/01/08
Individualized prediction  Temperament traits  Functional connectivity  Reward processing  Temperament and character inventory (TCI)  
动态资讯 2018年第12期 其他
2018-12-01
作者:  张桂英
浏览  |  Adobe PDF(2451Kb)  |  收藏  |  浏览/下载:380/167  |  提交时间:2018/12/27
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
作者:  周奥军
Adobe PDF(11981Kb)  |  收藏  |  浏览/下载:305/2  |  提交时间: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  
Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network 期刊论文
FRONTIERS IN NEUROANATOMY, 2018, 期号: 12, 页码: 92
作者:  Xiao, Chi;  Chen, Xi;  Li, Weifu;  Li, Linlin;  Wang, Lu;  Xie, Qiwei;  Han, Hua
浏览  |  Adobe PDF(3873Kb)  |  收藏  |  浏览/下载:418/73  |  提交时间:2019/01/08
electron microscope  deep learning  volumetric mitochondria segmentation  mitochondria morphology  neuroinformatics  
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
浏览  |  Adobe PDF(2365Kb)  |  收藏  |  浏览/下载:486/148  |  提交时间:2019/07/12
Lower-grade glioma  1p19q Co-deletion  Prediction  Radiomics  Magnetic resonance imaging  
Non model-based bioluminescence tomography using a machine-learning reconstruction strategy 期刊论文
Optica, 2018, 卷号: 5, 期号: 11, 页码: 1451-1454
作者:  Gao, Yuan;  Wang, Kun;  An, Yu;  Jiang, Shixin;  Meng, Hui;  Tian, Jie
浏览  |  Adobe PDF(708Kb)  |  收藏  |  浏览/下载:225/27  |  提交时间:2019/04/29
Light  Regularization  Registration  Information  Algorithm  Accuracy  
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:440/90  |  提交时间:2019/07/12
Schizophrenia  Multimodal fusion  Genetic-brain-cognition pathway  Working memory  Mediation analysis  
Complexity in mood disorder diagnosis: fMRI connectivity networks predicted medication-class of response in complex patients 期刊论文
ACTA PSYCHIATRICA SCANDINAVICA, 2018, 卷号: 138, 期号: 5, 页码: 472-482
作者:  Osuch, E.;  Gao, S.;  Wammes, M.;  Theberge, J.;  Willimason, P.;  Neufeld, R. J.;  Du, Y.;  Sui, J.;  Calhoun, V.
浏览  |  Adobe PDF(1446Kb)  |  收藏  |  浏览/下载:465/54  |  提交时间:2019/01/08
mood disorders  bipolar disorder  functional neuroimaging  machine learning  differential diagnosis