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多序列 MRI影像组学辅助肿瘤无创诊断的研究 学位论文
, 北京市海淀区中关村东路95号: 中国科学院自动化研究所, 2019
Authors:  魏靖伟
Adobe PDF(3432Kb)  |  Favorite  |  View/Download:103/3  |  Submit date:2019/06/28
影像组学  人工智能  肿瘤  无创诊断  磁共振成像  
IDH mutation-specific radiomic signature in lower-grade gliomas 期刊论文
AGING-US, 2019, 卷号: 11, 期号: 2, 页码: 673-696
Authors:  Liu, Xing;  Li, Yiming;  Li, Shaowu;  Fan, Xing;  Sun, Zhiyan;  Yang, Zhengyi;  Wang, Kai;  Zhang, Zhong;  Jiang, Tao;  Liu, Yong;  Wang, Lei;  Wang, Yinyan
Favorite  |  View/Download:24/0  |  Submit date:2019/07/12
isocitrate dehydrogenase  lower grade gliomas  radiomic signature  transcriptome-radiomic analysis  prognostic signature  
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges 期刊论文
Theranostics, 2019, 卷号: 9, 期号: 5, 页码: 1303-1322
Authors:  Liu, Zhenyu;  Wang, Shuo;  Dong, Di;  Wei, Jingwei;  Fang, Cheng;  Zhou, Xuezhi;  Sun, Kai;  Li, Longfei;  Li, Bo;  Wang, Meiyun;  Tian, Jie
View  |  Adobe PDF(2057Kb)  |  Favorite  |  View/Download:58/10  |  Submit date:2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas 期刊论文
JOURNAL OF NEURO-ONCOLOGY, 2018, 卷号: 140, 期号: 2, 页码: 297-306
Authors:  Han, Yuqi;  Xie, Zhen;  Zang, Yali;  Zhang, Shuaitong;  Gu, Dongsheng;  Zhou, Mu;  Gevaert, Olivier;  Wei, Jingwei;  Li, Chao;  Chen, Hongyan;  Du, Jiang;  Liu, Zhenyu;  Dong, Di;  Tian, Jie;  Zhou, Dabiao
Favorite  |  View/Download:23/0  |  Submit date:2019/07/12
Lower-grade glioma  1p  19q Co-deletion  Prediction  Radiomics  Magnetic resonance imaging  
Radiogenomics of lower-grade gliomas: a radiomic signature as a biological surrogate for survival prediction 期刊论文
AGING-US, 2018, 卷号: 10, 期号: 10, 页码: 2884-2899
Authors:  Qian, Zenghui;  Li, Yiming;  Sun, Zhiyan;  Fan, Xing;  Xu, Kaibin;  Wang, Kai;  Li, Shaowu;  Zhang, Zhong;  Jiang, Tao;  Liu, Xing;  Wang, Yinyan
Favorite  |  View/Download:19/0  |  Submit date:2019/07/12
gliomas  prognosis  genetics  magnetic resonance imaging  biomarkers  
A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication 期刊论文
European Radiology, 2018, 期号: 29, 页码: 877-888
Authors:  Wei Jingwei;  Yang Guoqiang;  Hao Xiaohan;  Gu Dongsheng;  Tan Yan;  Wang Xiaochun;  Dong Di;  Zhang Shuaitong;  Wang Le;  Zhang Hui;  Tian Jie
View  |  Adobe PDF(3785Kb)  |  Favorite  |  View/Download:43/13  |  Submit date:2019/05/08
Astrocytoma  Methylation  Prognosis  Diagnostic Imaging  Roc Curve  
Genotype prediction of ATRX mutation in lower-grade gliomas using an MRI radiomics signature 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 7, 页码: 2960-2968
Authors:  Li, Yiming;  Liu, Xing;  Qian, Zenghui;  Sun, Zhiyan;  Xu, Kaibin;  Wang, Kai;  Fan, Xing;  Zhang, Zhong;  Li, Shaowu;  Wang, Yinyan;  Jiang, Tao
Favorite  |  View/Download:63/0  |  Submit date:2018/10/10
Magnetic Resonance Imaging  Genetics  Biomarkers  Glioma  Machine Learning  
Prediction of the anti-glioma therapeutic effects of temozolomide through the in vivo molecular imaging of the MMP expression 期刊论文
Biomedical Optics Express, 2018, 卷号: 9, 期号: 7, 页码: 3193-3207
Authors:  Li Li;  Du Yang;  Xiang Dehui;  Chen Liang;  Shi Zhifeng;  Tian Jie;  Chen Xinjian
View  |  Adobe PDF(4745Kb)  |  Favorite  |  View/Download:51/9  |  Submit date:2019/02/18
Mdical And Biological Imaging, Tomographic Imaging, Spectroscopy, Fluorescence And Luminescence, Optical Diagnosis For Medicine  
Radiomics analysis allows for precise prediction of epilepsy in patients with low-grade gliomas 期刊论文
Neuroimage:Clinical, 2018, 期号: 19, 页码: 271-278
Authors:  Liu zhenyu;  Wang Yinyan;  Liu Xing;  Du Yang;  Tang zhenchao;  Wang Kai;  Wei Jingwei;  Dong Di;  Zang yali;  Dai Jianping;  Jiang Tao;  Tian Jie
View  |  Adobe PDF(1730Kb)  |  Favorite  |  View/Download:87/17  |  Submit date:2019/02/18
Low Grade Gliomas, Radiomics, Epilepsy, Elastic Net, T2wi  
MRI features predict p53 status in lower-grade gliomas via a machine-learning approach 期刊论文
NEUROIMAGE-CLINICAL, 2018, 卷号: 17, 页码: 306-311
Authors:  Li, Yiming;  Qian, Zenghui;  Xu, Kaibin;  Wang, Kai;  Fan, Xing;  Li, Shaowu;  Jiang, Tao;  Liu, Xing;  Wang, Yinyan
Favorite  |  View/Download:45/0  |  Submit date:2018/10/10
P53  Lower-grade Gliomas  Radiogenomics  Prediction  Machine Learning