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Chest Radiographs Using a Context-Fusion Convolution Neural Network (CNN): Can It Distinguish the Etiology of Community-Acquired Pneumonia (CAP) in Children? 期刊论文
JOURNAL OF DIGITAL IMAGING, 2022, 页码: 12
作者:  Hu, Shasha;  Zhu, Yongbei;  Dong, Di;  Wang, Bei;  Zhou, Zuofu;  Wang, Chi;  Tian, Jie;  Peng, Yun
收藏  |  浏览/下载：206/0  |  提交时间：2022/07/25
Chest radiographs  Convolution neural network  Community-acquired pneumonia  Pediatric  Etiology  
Mix Contrast for COVID-19 Mild-to-Critical Prediction 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 卷号: 68, 期号: 12, 页码: 3725-3736
作者:  Zhu, Yongbei;  Wang, Shuo;  Wang, Siwen;  Wu, Qingxia;  Wang, Liusu;  Li, Hongjun;  Wang, Meiyun;  Niu, Meng;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3534Kb)  |  收藏  |  浏览/下载：258/45  |  提交时间：2021/12/28
Coronavirus disease 2019 (COVID-19)  contrastive learning  computed tomography  mixup  prognosis  
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 7, 页码: 2353-2362
作者:  Wang, Siwen;  Dong, Di;  Li, Liang;  Li, Hailin;  Bai, Yan;  Hu, Yahua;  Huang, Yuanyi;  Yu, Xiangrong;  Liu, Sibin;  Qiu, Xiaoming;  Lu, Ligong;  Wang, Meiyun;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3142Kb)  |  收藏  |  浏览/下载：249/52  |  提交时间：2021/11/02
COVID-19  deep learning  radiomics  prognosis  computed tomography  
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)  |  收藏  |  浏览/下载：305/53  |  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  
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：294/46  |  提交时间：2021/03/02
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
作者:  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
收藏  |  浏览/下载：214/0  |  提交时间：2020/09/21
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  |  Adobe PDF(2315Kb)  |  收藏  |  浏览/下载：289/45  |  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)  |  收藏  |  浏览/下载：382/52  |  提交时间：2020/06/02
coronavirus disease 2019  radiomics  pneumonia  diagnosis  
Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 16, 页码: 7231-7244
作者:  Wu, Qingxia;  Wang, Shuo;  Liang, Li;  Wu, Qingxia;  Qian, Wei;  Hu, Yahua;  Li, Li;  Zhou, Xuezhi;  Ma, He;  Li, Hongjun;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
收藏  |  浏览/下载：168/0  |  提交时间：2020/08/03
COVID-19  Computed tomography  Radiomics  Prognosis  Poor outcome  
Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in children 期刊论文
BMC MEDICAL IMAGING, 2019, 卷号: 19, 期号: 1, 页码: 11
作者:  Wang, Bei;  Li, Min;  Ma, He;  Han, Fangfang;  Wang, Yan;  Zhao, Shunying;  Liu, Zhimin;  Yu, Tong;  Tian, Jie;  Dong, Di;  Peng, Yun
收藏  |  浏览/下载：259/0  |  提交时间：2019/12/16
Child  Tuberculosis  Pulmonary  Pneumonia  Radiomics  Nomogram