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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:407/64  |  提交时间:2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
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:342/61  |  提交时间:2021/01/06
Stomach neoplasms  Multi-detector computed tomography  Radiomics  Deep learning  
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:306/73  |  提交时间:2020/10/25
Computed tomography (CT)  
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:318/64  |  提交时间:2020/08/24
Spatial-temporal dependency  neural network  Alzheimer's disease  hub detection  resting-state functional MRI  
An Ultrahigh-Speed Object Detection Method With Projection-Based Position Compensation 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 7, 页码: 4796-4806
作者:  Li, Jianquan;  Long, Xianlei;  Xu, De;  Gu, Qingyi;  Ishii, Idaku
Adobe PDF(6758Kb)  |  收藏  |  浏览/下载:301/37  |  提交时间:2020/08/03
Field-programmable gate array (FPGA)  hardware implementation  histogram of oriented gradient (HOG)  object detection  pixel projection  ultrahigh-speed vision  
Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM 期刊论文
IEEE TRANSACTIONS ON RELIABILITY, 2020, 卷号: 69, 期号: 1, 页码: 139-153
作者:  Yu, Xiao;  Liu, Jin;  Keung, Jacky Wai;  Li, Qing;  Bennin, Kwabena Ebo;  Xu, Zhou;  Wang, Junping;  Cui, Xiaohui
Adobe PDF(2373Kb)  |  收藏  |  浏览/下载:420/71  |  提交时间:2020/06/02
Support vector machines  Software  Prediction algorithms  Predictive models  Testing  Software algorithms  Computer science  Cost-sensitive learning  data imbalance  ranking-oriented defect prediction (RODP)