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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
Authors:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Favorite  |  View/Download:10/0  |  Submit date:2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
Authors:  Meng, Lingwei;  Dong, Di;  Li, Liang;  Niu, Meng;  Bai, Yan;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
Favorite  |  View/Download:12/0  |  Submit date:2021/03/02
COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence  
A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis 期刊论文
EUROPEAN RESPIRATORY JOURNAL, 2020, 卷号: 56, 期号: 2, 页码: 11
Authors:  Wang, Shuo;  Zha, Yunfei;  Li, Weimin;  Wu, Qingxia;  Li, Xiaohu;  Niu, Meng;  Wang, Meiyun;  Qiu, Xiaoming;  Li, Hongjun;  Yu, He;  Gong, Wei;  Bai, Yan;  Li, Li;  Zhu, Yongbei;  Wang, Liusu;  Tian, Jie
Favorite  |  View/Download:26/0  |  Submit date:2020/09/21
Multiparametric MRI Radiomic Model for Preoperative Predicting WHO/ISUP Nuclear Grade of Clear Cell Renal Cell Carcinoma 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 页码: 10
Authors:  Li, Qiong;  Liu, Yu-jia;  Dong, Di;  Bai, Xu;  Huang, Qing-bo;  Guo, Ai-tao;  Ye, Hui-yi;  Tian, Jie;  Wang, Hai-yi
Favorite  |  View/Download:42/0  |  Submit date:2020/06/22
renal cell carcinoma  nuclear grade  radiomic  magnetic resonance imaging  
Multi-Evidence and Multi-Modal Fusion Network for Ground-Based Cloud Recognition 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 3, 页码: 20
Authors:  Liu, Shuang;  Li, Mei;  Zhang, Zhong;  Xiao, Baihua;  Durrani, Tariq S.
Favorite  |  View/Download:40/0  |  Submit date:2020/04/07
ground-based cloud recognition  convolution neural network  feature fusion  
Learning Embeddings Based on Global Structural Similarity in Heterogeneous Networks 期刊论文
IEEE Intelligent Systems, 2020, 卷号: Early Access, 期号: Early Access, 页码: 1-1
Authors:  Wanting Wen;  Daniel D. Zeng;  Jie Bai;  Kang Zhao;  Ziqiang Li
View  |  Adobe PDF(516Kb)  |  Favorite  |  View/Download:24/13  |  Submit date:2020/10/21
Heterogeneous networks  Task analysis  Intelligent systems  Learning (artificial intelligence)  
Low-latency Data Gathering with Reliability Guaranteeing in Heterogeneous Wireless Sensor Networks 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 439-452
Authors:  Tian-Yun Shi;  Jian Li;  Xin-Chun Jia;  Wei Bai;  Zhong-Ying Wang;  Dong Zhou
View  |  Adobe PDF(7916Kb)  |  Favorite  |  View/Download:2/2  |  Submit date:2021/02/22
Heterogeneous wireless sensor networks (HWSNs)  data gathering tree  multi-channel  power assignment  link scheduling.  
A neural circuit for comorbid depressive symptoms in chronic pain 期刊论文
NATURE NEUROSCIENCE, 2019, 卷号: 22, 期号: 10, 页码: 1649-+
Authors:  Zhou, Wenjie;  Jin, Yan;  Meng, Qian;  Zhu, Xia;  Bai, Tongjian;  Tian, Yanghua;  Mao, Yu;  Wang, Likui;  Xie, Wen;  Zhong, Hui;  Zhang, Na;  Luo, Min-Hua;  Tao, Wenjuan;  Wang, Haitao;  Li, Jie;  Li, Juan;  Qiu, Ben-Sheng;  Zhou, Jiang-Ning;  Li, Xiangyao;  Xu, Han;  Wang, Kai;  Zhang, Xiaochu;  Liu, Yong;  Richter-Levin, Gal;  Xu, Lin;  Zhang, Zhi
Favorite  |  View/Download:49/0  |  Submit date:2020/03/30
A data-based optimal setting method for the coking flue gas denitration process 期刊论文
CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2019, 卷号: 97, 期号: 4, 页码: 876-887
Authors:  Li, Yaning;  Wang, Xuelei;  Liu, Zhenjie;  Bai, Xiwei;  Tan, Jie
View  |  Adobe PDF(2898Kb)  |  Favorite  |  View/Download:75/16  |  Submit date:2019/07/12
coking flue gas denitration  data-based  optimal setting  CBR  JITL  
HiWalk: Learning node embeddings from heterogeneous networks 期刊论文
INFORMATION SYSTEMS, 2019, 卷号: 81, 期号: 1, 页码: 82-91
Authors:  Bai, Jie;  Li, Linjing;  Zeng, Daniel
View  |  Adobe PDF(776Kb)  |  Favorite  |  View/Download:60/1  |  Submit date:2019/07/12
Network analysis  Representation learning  Behavioral analysis  Random walk  Heterogeneous network