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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：317/54  |  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  
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：315/52  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
Research paper Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study 期刊论文
EBIOMEDICINE, 2020, 卷号: 56, 页码: 9
作者:  Yang, Qi;  Wei, Jingwei;  Hao, Xiaohan;  Kong, Dexing;  Yu, Xiaoling;  Jiang, Tianan;  Xi, Junqing;  Cai, Wenjia;  Luo, Yanchun;  Jing, Xiang;  Yang, Yilin;  Cheng, Zhigang;  Wu, Jinyu;  Zhang, Huiping;  Liao, Jintang;  Zhou, Pei;  Song, Yu;  Zhang, Yao;  Han, Zhiyu;  Cheng, Wen;  Tang, Lina;  Liu, Fangyi;  Dou, Jianping;  Zheng, Rongqin;  Yu, Jie;  Tian, Jie;  Liang, Ping
收藏  |  浏览/下载：296/0  |  提交时间：2020/08/21
Ultrasound  Convolutional neural network  Focal liver lesions  Diagnosis  
Predicting the Type of Tumor-Related Epilepsy in Patients With Low-Grade Gliomas: A Radiomics Study 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 8
作者:  Wang, Yinyan;  Wei, Wei;  Liu, Zhenyu;  Liang, Yuchao;  Liu, Xing;  Li, Yiming;  Tang, Zhenchao;  Jiang, Tao;  Tian, Jie
收藏  |  浏览/下载：240/0  |  提交时间：2020/06/02
epilepsy type  low-grade gliomas  machine learning  radiomics  T2-weighted imaging  
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：175/0  |  提交时间：2020/08/03
COVID-19  Computed tomography  Radiomics  Prognosis  Poor outcome