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文献类型:期刊论文
资助机构:National Natural Science Foundation of China
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Role of Asymptomatic COVID-19 Cases in Viral Transmission: Findings From a Hierarchical Community Contact Network Model
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 10
作者:
Luo, Tianyi
;
Cao, Zhidong
;
Wang, Yuejiao
;
Zeng, Daniel
;
Zhang, Qingpeng
Adobe PDF(2265Kb)
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浏览/下载:264/37
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提交时间:2022/01/27
COVID-19
Epidemics
Pandemics
Sociology
Market research
Mathematical models
Timing
Risk management
Statistics
Asymptomatic patients
COVID-19
epidemic rebound
strategy evaluation
transmission model
Multitask Learning for Ship Detection From Synthetic Aperture Radar Images
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 8048-8062
作者:
Zhang, Xin
;
Huo, Chunlei
;
Xu, Nuo
;
Jiang, Hangzhi
;
Cao, Yong
;
Ni, Lei
;
Pan, Chunhong
Adobe PDF(12575Kb)
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浏览/下载:257/41
  |  
提交时间:2021/11/03
Task analysis
Feature extraction
Radar polarimetry
Object detection
Marine vehicles
Detectors
Synthetic aperture radar
Multitask learning
synthetic aperture radar (SAR)
SAR ship detection
A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts
期刊论文
INFORMATION SCIENCES, 2021, 卷号: 570, 页码: 124-143
作者:
Ouyang, Liwei
;
Yuan, Yong
;
Cao, Yumeng
;
Wang, Fei-Yue
Adobe PDF(1322Kb)
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浏览/下载:288/61
  |  
提交时间:2021/08/15
Blockchain
Smart contracts
Federated learning
Learning markets
Collaborative early warning
The collective wisdom in the COVID-19 research: Comparison and synthesis of epidemiological parameter estimates in preprints and peer-reviewed articles
期刊论文
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2021, 卷号: 104, 期号: 1, 页码: 1-6
作者:
Wang, Yuejiao
;
Cao, Zhidong
;
Zeng, Daniel Dajun
;
Zhang, Qingpeng
;
Luo, Tianyi
Adobe PDF(1028Kb)
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浏览/下载:229/32
  |  
提交时间:2021/05/17
COVID-19
Preprint
Peer review
Epidemiology
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)
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浏览/下载:326/55
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提交时间: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
作者:
Meng, Lingwei
;
Dong, Di
;
Li, Liang
;
Niu, Meng
;
Bai, Yan
;
Wang, Meiyun
;
Qiu, Xiaoming
;
Zha, Yunfei
;
Tian, Jie
Adobe PDF(4120Kb)
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浏览/下载:320/54
  |  
提交时间:2021/03/02
COVID-19
Computed tomography
Lung
Hospitals
Biomedical imaging
Training
Coronavirus disease 2019 (COVID-19)
prognosis
computed tomography
deep learning
artificial intelligence
Virus Identification in Electron Microscopy Images by Residual Mixed Attention Network
期刊论文
Computer Methods and Programs in Biomedicine, 2021, 卷号: 198, 期号: 198, 页码: 105766
作者:
Xiao, Chi
;
Chen, Xi
;
Xie, Qiwei
;
Li, Guoqing
;
Xiao, Hao
;
Song, Jingdong
;
Han, Hua
浏览
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Adobe PDF(2439Kb)
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浏览/下载:328/72
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提交时间:2020/10/24
Virus identification
viral morphology
transmission electron microscopy
deep learning
attention mechanism
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study
期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
作者:
Wu, Xiangjun
;
Hui, Hui
;
Niu, Meng
;
Li, Liang
;
Wang, Li
;
He, Bingxi
;
Yang, Xin
;
Li, Li
;
Li, Hongjun
;
Tian, Jie
;
Zha, Yunfei
浏览
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Adobe PDF(2315Kb)
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浏览/下载:341/63
  |  
提交时间:2020/07/20
Coronavirus disease 2019
Deep learning
Multi-view model
Computed tomography
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study
期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
作者:
Wu, Xiangjun
;
Hui, Hui
;
Niu, Meng
;
Li, Liang
;
Wang, Li
;
He, Bingxi
;
Yang, Xin
;
Li, Li
;
Li, Hongjun
;
Tian, Jie
;
Zha, Yunfei
浏览
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Adobe PDF(2315Kb)
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浏览/下载:300/47
  |  
提交时间:2020/07/20
Coronavirus disease 2019
Deep learning
Multi-view model
Computed tomography
CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study
期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 7, 页码: 8
作者:
Fang, Mengjie
;
He, Bingxi
;
Li, Li
;
Dong, Di
;
Yang, Xin
;
Li, Cong
;
Meng, Lingwei
;
Zhong, Lianzhen
;
Li, Hailin
;
Li, Hongjun
;
Tian, Jie
Adobe PDF(250Kb)
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  |  
浏览/下载:398/55
  |  
提交时间:2020/06/02
coronavirus disease 2019
radiomics
pneumonia
diagnosis