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Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data 期刊论文
EBIOMEDICINE, 2019, 卷号: 47, 页码: 543-552
Authors:  Yan, Weizheng;  Calhoun, Vince;  Song, Ming;  Cui, Yue;  Yan, Hao;  Liu, Shengfeng;  Fan, Lingzhong;  Zuo, Nianming;  Yang, Zhengyi;  Xu, Kaibin;  Yan, Jun;  Lv, Luxian;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi;  Sui, Jing
Favorite  |  View/Download:8/0  |  Submit date:2019/12/16
Recurrent neural network (RNN)  Schizophrenia  Multi-site classification  fMRI  Striatum  Cerebellum  Deep learning  
Generation of multicomponent atomic Schrodinger cat states of up to 20 qubits 期刊论文
SCIENCE, 2019, 卷号: 365, 期号: 6453, 页码: 574-577
Authors:  Song, Chao;  Xu, Kai;  Li, Hekang;  Zhang, Yu-Ran;  Zhang, Xu;  Liu, Wuxin;  Guo, Qiujiang;  Wang, Zhen;  Ren, Wenhui;  Hao, Jie;  Feng, Hui;  Fan, Heng;  Zheng, Dongning;  Wang, Da-Wei;  Wang, H.;  Zhu, Shi-Yao
Favorite  |  View/Download:10/0  |  Submit date:2019/12/16
Selection Between Liver Resection Versus Transarterial Chemoembolization in Hepatocellular Carcinoma: A Multicenter Study 期刊论文
CLINICAL AND TRANSLATIONAL GASTROENTEROLOGY, 2019, 卷号: 10, 页码: 12
Authors:  Fu, Sirui;  Wei, Jingwei;  Zhang, Jie;  Dong, Di;  Song, Jiangdian;  Li, Yong;  Duan, Chongyang;  Zhang, Shuaitong;  Li, Xiaoqun;  Gu, Dongsheng;  Chen, Xudong;  Hao, Xiaohan;  He, Xiaofeng;  Yan, Jianfeng;  Liu, Zhenyu;  Tian, Jie;  Lu, Ligong
Favorite  |  View/Download:7/0  |  Submit date:2019/12/16
Radiomics analysis enables recurrence prediction for hepatocellular carcinoma after liver transplantation 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 117, 页码: 33-40
Authors:  Guo, Donghui;  Gu, Dongsheng;  Wang, Honghai;  Wei, Jingwei;  Wang, Zhenglu;  Hao, Xiaohan;  Ji, Qian;  Cao, Shunqi;  Song, Zhuolun;  Jiang, Jiabing;  Shen, Zhongyang;  Tian, Jie;  Zheng, Hong
Favorite  |  View/Download:7/0  |  Submit date:2019/12/16
Artificial intelligence  Hepatocellular carcinoma  Liver transplantation  Recurrence  
Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma 期刊论文
CLINICAL CANCER RESEARCH, 2019, 卷号: 25, 期号: 14, 页码: 4271-4279
Authors:  Peng, Hao;  Dong, Di;  Fang, Meng-Jie;  Li, Lu;  Tang, Ling-Long;  Chen, Lei;  Li, Wen-Fei;  Mao, Yan-Ping;  Fan, Wei;  Liu, Li-Zhi;  Tian, Li;  Lin, Ai-Hua;  Sun, Ying;  Tian, Jie;  Ma, Jun
Favorite  |  View/Download:7/0  |  Submit date:2019/12/16
A Method for Identification of Multisynaptic Boutons in Electron Microscopy Image Stack of Mouse Cortex 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 13, 页码: 19
Authors:  Deng, Hao;  Ma, Chao;  Han, Hua;  Xie, Qiwei;  Shen, Lijun
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electron microscopy  multisynaptic bouton  convolutional neural network  image processing  synapse  neuron  
移动机器人导航控制系统应用研究 学位论文
工程硕士, 中国科学院大学: 中国科学院大学, 2019
Authors:  卫浩
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玻璃检测算法  多传感器融合  机器人导航  激光雷达slam  视觉slam  
Prediction early recurrence of hepatocellular carcinoma eligible for curative ablation using a Radiomics nomogram 期刊论文
Cancer Imaging, 2019, 卷号: 19, 期号: 1
Authors:  Yuan,Chunwang;  Wang,Zhenchang;  Gu,Dongsheng;  Tian,Jie;  Zhao,Peng;  Wei,Jingwei;  Yang,Xiaozhen;  Hao,Xiaohan;  Dong,Di;  He,Ning;  Sun,Yu;  Gao,Wenfeng;  Feng,Jiliang
Favorite  |  View/Download:25/0  |  Submit date:2019/07/11
Hepatocellular carcinoma  Radiomics  Recurrence  forecasting  Ablation techniques  
Asymmetric 3D Convolutional Neural Networks for action recognition 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 85, 期号: 1, 页码: 1-12
Authors:  Yang, Hao;  Yuan, Chunfeng;  Li, Bing;  Du, Yang;  Xing, Junliang;  Hu, Weiming;  Maybank, Stephen J.
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Asymmetric 3D convolution  MicroNets  3D-CNN  Action recognition  
Semi-supervised domain adaptation via Fredholm integral based kernel methods 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 85, 页码: 185-197
Authors:  Wang, Wei;  Wang, Hao;  Zhang, Zhaoxiang;  Zhang, Chen;  Gao, Yang
Favorite  |  View/Download:47/0  |  Submit date:2019/01/08
Domain adaptation  Semi-supervised learning  Multiple kernel learning  Hilbert space embedding of distributions