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Multi -task contrastive learning for automatic CT and X-ray diagnosis of COVID-19 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 114, 页码: 12
Authors:  Li, Jinpeng;  Zhao, Gangming;  Tao, Yaling;  Zhai, Penghua;  Chen, Hao;  He, Huiguang;  Cai, Ting
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Computed tomography  X-ray  COVID-19  Deep learning  Multi-task learning  Contrastive learning  
传染病多元耦合时序预测的深度学习方法与应用 学位论文
, 中国科学院大学自动化研究所: 中国科学院大学自动化研究所, 2021
Authors:  王月娇
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深度学习  传染病  多元时间序列预测  手足口病  新冠肺炎  
Learning to learn by yourself: Unsupervised meta-learning with self-knowledge distillation for COVID-19 diagnosis from pneumonia cases 期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 页码: 32
Authors:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Zhang, Zhi-Cheng;  Zhang, Jun J.;  Hu, Ming;  Wang, Fei-Yue
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biomedical imaging  COVID‐  19  knowledge distillation  meta‐  learning  unsupervised learning  
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
Authors:  Wang, Yuejiao;  Cao, Zhidong;  Zeng, Daniel Dajun;  Zhang, Qingpeng;  Luo, Tianyi
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COVID-19  Preprint  Peer review  Epidemiology  
Automatic Detection of COVID-19 Infection Using Chest X-Ray Images Through Transfer Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 239-248
Authors:  Elene Firmeza Ohata;  Gabriel Maia Bezerra;  João Victor Souza das Chagas;  Aloísio Vieira Lira Neto;  Adriano Bessa Albuquerque;  Victor Hugo C. de Albuquerque;  Pedro Pedrosa Rebouças Filho
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Convolutional neural networks (CNNs)  COVID-19  transfer learning  X-ray  
Humans and Robots: A Mutually Inclusive Relationship in a Contagious World 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 185-203
Authors:  Akash Gupta
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COVID-19  coronavirus  telepresence  delivery robots  medical robots  
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
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COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence  
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
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COVID-19  radiomics  deep learning  computed tomography (CT)  
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
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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
Authors:  Wu, Xiangjun;  Hui, Hui;  Niu, Meng;  Li, Liang;  Wang, Li;  He, Bingxi;  Yang, Xin;  Li, Li;  Li, Hongjun;  Tian, Jie;  Zha, Yunfei
Adobe PDF(2315Kb)  |  Favorite  |  View/Download:29/1  |  Submit date:2020/07/20
Coronavirus disease 2019  Deep learning  Multi-view model  Computed tomography