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Deep learning algorithm to improve hypertrophic cardiomyopathy mutation prediction using cardiac cine images 期刊论文
EUROPEAN RADIOLOGY, 2020, 页码: 10
Authors:  Zhou, Hongyu;  Li, Lu;  Liu, Zhenyu;  Zhao, Kankan;  Chen, Xiuyu;  Lu, Minjie;  Yin, Gang;  Song, Lei;  Zhao, Shihua;  Zheng, Hairong;  Tian, Jie
Favorite  |  View/Download:11/0  |  Submit date:2021/01/06
Cardiomyopathy  hypertrophic  Genotype  Deep learning  Magnetic resonance imaging  
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
Authors:  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)  |  Favorite  |  View/Download:42/0  |  Submit date:2020/06/02
coronavirus disease 2019  radiomics  pneumonia  diagnosis  
LGE-CMR-derived texture features reflect poor prognosis in hypertrophic cardiomyopathy patients with systolic dysfunction: preliminary results 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 11, 页码: 4615-4624
Authors:  Cheng, Sainan;  Fang, Mengjie;  Cui, Chen;  Chen, Xiuyu;  Yin, Gang;  Prasad, Sanjay K.;  Dong, Di;  Tian, Jie;  Zhao, Shihua
Favorite  |  View/Download:63/0  |  Submit date:2019/12/16
Hypertrophic cardiomyopathy  Cardiac magnetic resonance  Late gadolinium enhancement  Texture features  Event-free survival  
BUILDING AND EVALUATING AN ANIMAL MODEL FOR SYNDROME IN TRADITIONAL CHINESE MEDICINE IN THE CONTEXT OF UNSTABLE ANGINA (MYOCARDIAL ISCHEMIA) BY SUPERVISED DATA MINING APPROACHES 期刊论文
JOURNAL OF BIOLOGICAL SYSTEMS, 2009, 卷号: 17, 期号: 4, 页码: 531-546
Authors:  Guo, Shuzhen;  Chen, Jianxin;  Zhao, Huihui;  Wang, Wei;  Yi, Jianqiang;  Liu, Lei;  Qi, Qige;  Liu, Renquan;  Qiu, Qi;  Wang, Yong
View  |  Adobe PDF(494Kb)  |  Favorite  |  View/Download:94/10  |  Submit date:2015/08/12
Unstable Angina  Blood Stasis Syndrome  Traditional Chinese Medicine  Data Mining  Animal Model  Myocardial Ischemia  Classification  Radial Basis Function Network