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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:39/0  |  Submit date:2018/10/10
P53  Lower-grade Gliomas  Radiogenomics  Prediction  Machine Learning  
A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas 期刊论文
NEUROIMAGE-CLINICAL, 2018, 卷号: 20, 页码: 1070-1077
Authors:  Liu, Xing;  Li, Yiming;  Qian, Zenghui;  Sun, Zhiyan;  Xu, Kaibin;  Wang, Kai;  Liu, Shuai;  Fan, Xing;  Li, Shaowu;  Zhang, Zhong;  Jiang, Tao;  Wang, Yinyan
Favorite  |  View/Download:8/0  |  Submit date:2019/07/12
Radiomic analysis  Lower-grade gliomas  Progression-free survival  Radiogenomics  
Radiomic features predict Ki-67 expression level and survival in lower grade gliomas 期刊论文
JOURNAL OF NEURO-ONCOLOGY, 2017, 卷号: 135, 期号: 2, 页码: 317-324
Authors:  Li, Yiming;  Qian, Zenghui;  Xu, Kaibin;  Wang, Kai;  Fan, Xing;  Li, Shaowu;  Liu, Xing;  Wang, Yinyan;  Jiang, Tao
Favorite  |  View/Download:58/0  |  Submit date:2018/03/03
Ki-67  Lower Grade Gliomas  Radiogenomics  Prediction  Survival