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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
作者:  Zhou, Hongyu;  Li, Lu;  Liu, Zhenyu;  Zhao, Kankan;  Chen, Xiuyu;  Lu, Minjie;  Yin, Gang;  Song, Lei;  Zhao, Shihua;  Zheng, Hairong;  Tian, Jie
收藏  |  浏览/下载:232/0  |  提交时间:2021/01/06
Cardiomyopathy  hypertrophic  Genotype  Deep learning  Magnetic resonance imaging  
Radiomics Analysis of Postoperative Epilepsy Seizures in Low-Grade Gliomas Using Preoperative MR Images 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 8
作者:  Sun, Kai;  Liu, Zhenyu;  Li, Yiming;  Wang, Lei;  Tang, Zhenchao;  Wang, Shuo;  Zhou, Xuezhi;  Shao, Lizhi;  Sun, Caixia;  Liu, Xing;  Jiang, Tao;  Wang, Yinyan;  Tian, Jie
收藏  |  浏览/下载:300/0  |  提交时间:2020/08/31
low-grade glioma  epilepsy  radiomics  elastic net  Cox regression  
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:244/0  |  提交时间:2020/06/02
epilepsy type  low-grade gliomas  machine learning  radiomics  T2-weighted imaging  
A Non-invasive Radiomic Method Using F-18-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 11
作者:  Li, Longfei;  Mu, Wei;  Wang, Yaning;  Liu, Zhenyu;  Liu, Zehua;  Wang, Yu;  Ma, Wenbin;  Kong, Ziren;  Wang, Shuo;  Zhou, Xuezhi;  Wei, Wei;  Cheng, Xin;  Lin, Yusong;  Tian, Jie
收藏  |  浏览/下载:319/0  |  提交时间:2020/03/30
F-18-FDG PET  radiomics  glioma  isocitrate dehydrogenase  non-invasive prediction  
Radiomics signature based on FDG-PET predicts proliferative activity in primary glioma 期刊论文
CLINICAL RADIOLOGY, 2019, 卷号: 74, 期号: 10, 页码: 9
作者:  Kong, Z.;  Li, J.;  Liu, Zehua;  Liu, Zhenyu;  Zhao, D.;  Cheng, X.;  Li, L.;  Lin, Y.;  Wang, Y.;  Tian, J.;  Ma, W.
收藏  |  浏览/下载:303/0  |  提交时间:2019/12/16
Quantitative analysis of diffusion weighted imaging to predict pathological good response to neoadjuvant chemoradiation for locally advanced rectal cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 132, 页码: 100-108
作者:  Tang, Zhenchao;  Zhang, Xiao-Yan;  Liu, Zhenyu;  Li, Xiao-Ting;  Shi, Yan-Jie;  Wang, Shou;  Fang, Mengjie;  Shen, Chen;  Dong, Enqing;  Sun, Ying-Shi;  Tian, Jie
Adobe PDF(2101Kb)  |  收藏  |  浏览/下载:342/46  |  提交时间:2019/07/12
Locally advanced rectal cancer  Neoadjuvant chemoradiotherapy  Organ-preserving strategies  Diffusion weighted imaging  Decision support