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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  
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：497/94  |  提交时间：2019/01/08
Individualized prediction  Temperament traits  Functional connectivity  Reward processing  Temperament and character inventory (TCI)  
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  
Advances in Molecular Imaging of Immunotherapeutic Targets in Breast Cancer: Current and Future Prospect 期刊论文
European Radiology, 2018, 期号: NA, 页码: NA
作者:  Du Yang;  Jin Yinhua;  Sun Wei;  Fan Junjie;  Zheng Jianjun;  Tian Jie
浏览  |  Adobe PDF(6002Kb)  |  收藏  |  浏览/下载：303/76  |  提交时间：2019/02/18
Cancer, Immunotherapy, Molecular Imaging, Immune Checkpoint Target  
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  
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：481/148  |  提交时间：2019/07/12
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  
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：461/54  |  提交时间：2019/01/08
mood disorders  bipolar disorder  functional neuroimaging  machine learning  differential diagnosis  
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