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Effect of the SIRT1 gene on regional cortical grey matter density in the Han Chinese population 期刊论文
The British Journal of Psychiatry, 2018, 期号: 2018, 页码: 1-5
作者:  Rao, Shuquan;  Luo, Na;  Sui, Jing;  Xu, Qi;  Zhang, Fuquan
浏览  |  Adobe PDF(352Kb)  |  收藏  |  浏览/下载：354/108  |  提交时间：2020/01/14
SIRT1  sMRI  grey matter density.  
Robust Reconstruction of Fluorescence Molecular Tomography Based on Sparsity Adaptive Correntropy Matching Pursuit Method for Stem Cell Distribution 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2018, 卷号: 37, 期号: 10, 页码: 2176-2184
作者:  Zhang, Shuai;  Ma, Xibo;  Wang, Yi;  Wu, Meng;  Meng, Hui;  Chai, Wei;  Wang, Xiaojie;  Wei, Shoushui;  Tian, Jie
浏览  |  Adobe PDF(1652Kb)  |  收藏  |  浏览/下载：282/71  |  提交时间：2019/12/16
Fluorescence molecular tomography  inverse problem  sparsity adaptive correntropy matching pursuit  robust reconstruction  
A High-Speed Seam Extraction Method Based on the Novel Structured-Light Sensor for Arc Welding Robot: A Review 期刊论文
IEEE SENSORS JOURNAL, 2018, 卷号: 18, 期号: 21, 页码: 8631-8641
作者:  Yang, Lei;  Li, En;  Long, Teng;  Fan, Junfeng;  Liang, Zize
Adobe PDF(2552Kb)  |  收藏  |  浏览/下载：262/24  |  提交时间：2019/12/16
Seam extraction  structured light vision  target tracking  KCF  
Real-time segmentation of various insulators using generative adversarial networks 期刊论文
IET COMPUTER VISION, 2018, 卷号: 12, 期号: 5, 页码: 596-602
作者:  Chang, Wenkai;  Yang, Guodong;  Yu, Junzhi;  Liang, Zize
Adobe PDF(4584Kb)  |  收藏  |  浏览/下载：451/73  |  提交时间：2019/12/16
image segmentation  insulators  neural nets  power engineering computing  real-time pixel-level segmentation  generative adversarial networks  insulator segmentation algorithm  cluttered background  artificial thresholds  compact end-to-end neural network  visual saliency map  proposed two-stage training  segmentation quality  
Prediction and Understanding of AIE Effect by Quantum Mechanics-aided Machine-Learning Algorithm 期刊论文
CHEMICAL COMMUNICATIONS, 2018, 卷号: 54, 期号: 57, 页码: 7955-7958
作者:  Jia Qiu;  Wang K(王坤);  Zhouyang Lian;  Xing Yang;  Wenhui Huang;  Anjun Qin;  Qian Wang;  Jie Tian;  Benzhong Tang;  Shuixing Zhang
浏览  |  Adobe PDF(1582Kb)  |  收藏  |  浏览/下载：240/56  |  提交时间：2019/09/26
Aggregation-induced Emission  Solid-state  Triphenylamine  Networks  
无权访问的条目 期刊论文
作者:  Zhou XH(周小虎);  Bian GB(边桂彬);  Xie XL(谢晓亮);  Hou ZG(侯增广)
Adobe PDF(2685Kb)  |  收藏  |  浏览/下载：60/15  |  提交时间：2019/06/28
Domain Adaptation Tracker with Global and Local Searching 期刊论文
IEEE Access, 2018, 期号: 6, 页码: 42997 - 43008
作者:  Zhao, Fei;  Zhang,Ting;  Wu, Yi;  Wang, Jinqiao;  Tang, Ming
浏览  |  Adobe PDF(5557Kb)  |  收藏  |  浏览/下载：217/60  |  提交时间：2019/04/30
Convolutional Neural Networks  Domain Adaptation  Online Training  Visual Tracking  
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：334/63  |  提交时间：2019/01/08
classification  machine learning  magnetic resonance imaging  major depressive disorder  review  
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：496/58  |  提交时间：2019/01/08
mood disorders  bipolar disorder  functional neuroimaging  machine learning  differential diagnosis  
Prognostication of chronic disorders of consciousness using brain functional networks and clinical characteristics 期刊论文
eLife, 2018, 卷号: 2018, 期号: 7, 页码: e36173
作者:  Song Ming;  Yi Yang;  Jianghong He;  Zhengyi Yang;  Shan Yu;  Qiuyou Xie;  Xiaoyu Xia;  Yuanyuan Dang;  Qiang Zhang;  Xinhuai Wu;  Yue Cui;  Bing Hou;  Ronghao Yu;  Ruxiang Xu;  Tianzi Jiang
浏览  |  Adobe PDF(7400Kb)  |  收藏  |  浏览/下载：472/81  |  提交时间：2018/10/11
Disorders Of Consciousness  Prognosis  Resting State Fmri  Functional Connectivity  Brain Network