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Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载：371/61  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
Manipulating Template Pixels for Model Adaptation of Siamese Visual Tracking 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2020, 卷号: 27, 页码: 1690-1694
作者:  Li, Zhenbang;  Li, Bing;  Gao, Jin;  Li, Liang;  Hu, Weiming
收藏  |  浏览/下载：216/0  |  提交时间：2021/01/07
Adaptation models  Target tracking  Task analysis  Visualization  Feature extraction  Object tracking  Training  Model adaptation  siamese networks  visual tracking  
Self-centralized jointly sparse maximum margin criterion for robust dimensionality reduction 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2020, 卷号: 206, 页码: 15
作者:  Hu, Liangchen;  Xu, Jingke;  Tian, Lei;  Zhang, Wensheng
收藏  |  浏览/下载：193/0  |  提交时间：2021/01/07
Maximum margin criterion  Robustness  Adaptive centroid  L-1,L-2-norm sparsity  Dimensionality reduction  
Engagement Enhancement Based on Human-in-the-Loop Optimization for Neural Rehabilitation 期刊论文
FRONTIERS IN NEUROROBOTICS, 2020, 卷号: 12, 期号: 无, 页码: 11
作者:  Wang, Jiaxing;  Wang, Weiqun;  Ren, Shixin;  Shi, Weiguo;  Hou, Zeng-Guang
Adobe PDF(2370Kb)  |  收藏  |  浏览/下载：316/74  |  提交时间：2021/01/06
human-in-the-loop optimization  EEG based neural engagement  sEMG based muscle activation  tracking accuracy  neural rehabilitation  
CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 132, 页码: 8
作者:  Sun, Rui-Jia;  Fang, Meng-Jie;  Tang, Lei;  Li, Xiao-Ting;  Lu, Qiao-Yuan;  Dong, Di;  Tian, Jie;  Sun, Ying-Shi
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：320/58  |  提交时间：2021/01/06
Stomach neoplasms  Multi-detector computed tomography  Radiomics  Deep learning  
Detection of Fake Reviews Using Group Model 期刊论文
MOBILE NETWORKS & APPLICATIONS, 2020, 页码: 13
作者:  Li, Yuejun;  Wang, Fangxin;  Zhang, Shuwu;  Niu, Xiaofei
收藏  |  浏览/下载：191/0  |  提交时间：2021/01/06
Fake review detection  Opinion spamming  Review group detection  Reviewer group  Reviewer collusion  
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study 期刊论文
IEEE Journal of Biomedical and Health Informatics, 2020, 卷号: 25, 期号: 3, 页码: 755-762
作者:  Meng, Lingwei;  Dong, Di;  Chen, Xin;  Fang, Mengjie;  Wang, Rongpin;  Li, Jing;  Liu, Zaiyi;  Tian, Jie
Adobe PDF(3010Kb)  |  收藏  |  浏览/下载：291/69  |  提交时间：2020/10/25
Computed tomography (CT)  
A Trajectory-based Attention Model for Sequential Impurity Detection 期刊论文
Neurocomputing, 2020, 卷号: 410, 期号: 410, 页码: 271-283
作者:  Wenhao He;  Haitao Song;  Yue Guo;  Xiaonan Wang;  Guibin Bian;  Kui Yuan
浏览  |  Adobe PDF(2153Kb)  |  收藏  |  浏览/下载：262/67  |  提交时间：2020/10/19
Impurity detection  Siamese fusion network  Trajectory-based attention model  Sequential region proposal classification  
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 8, 页码: 2241-2252
作者:  Wang, Mingliang;  Lian, Chunfeng;  Yao, Dongren;  Zhang, Daoqiang;  Liu, Mingxia;  Shen, Dinggang
Adobe PDF(5624Kb)  |  收藏  |  浏览/下载：299/60  |  提交时间：2020/08/24
Spatial-temporal dependency  neural network  Alzheimer's disease  hub detection  resting-state functional MRI  
Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker 期刊论文
JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2020, 卷号: 8, 期号: 2, 页码: 10
作者:  He, Bingxi;  Dong, Di;  She, Yunlang;  Zhou, Caicun;  Fang, Mengjie;  Zhu, Yongbei;  Zhang, Henghui;  Huang, Zhipei;  Jiang, Tao;  Tian, Jie;  Chen, Chang
浏览  |  Adobe PDF(5232Kb)  |  收藏  |  浏览/下载：354/57  |  提交时间：2020/08/24
immunotherapy  lung neoplasms  tumor microenvironment  biomarkers  tumor  biostatistics