CASIA OpenIR

浏览/检索结果: 共4条,第1-4条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study 期刊论文
IEEE Journal of Biomedical and Health Informatics, 2020, 卷号: 25, 期号: 3, 页码: 755-762
作者:  Meng, Lingwei;  Dong, Di;  Chen, Xin;  Fang, Mengjie;  Wang, Rongpin;  Li, Jing;  Liu, Zaiyi;  Tian, Jie
Adobe PDF(3010Kb)  |  收藏  |  浏览/下载:312/74  |  提交时间:2020/10/25
Computed tomography (CT)  
Radiomics in multiple sclerosis and neuromyelitis optica spectrum disorder 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 9, 页码: 4670-4677
作者:  Liu, Yaou;  Dong, Di;  Zhang, Liwen;  Zang, Yali;  Duan, Yunyun;  Qiu, Xiaolu;  Huang, Jing;  Dong, Huiqing;  Barkhof, Frederik;  Hu, Chaoen;  Fang, Mengjie;  Tian, Jie;  Li, Kuncheng
Adobe PDF(1098Kb)  |  收藏  |  浏览/下载:484/129  |  提交时间:2019/12/16
Multiple sclerosis  Neuromyelitis optica spectrum disorder  Radiomics  Nomogram  Magnetic resonance imaging  
Development and validation of a magnetic resonance imaging-based model for the prediction of distant metastasis before initial treatment of nasopharyngeal carcinoma: A retrospective cohort study 期刊论文
EBIOMEDICINE, 2019, 卷号: 40, 期号: 1, 页码: 327-335
作者:  Zhang, Lu;  Dong, Di;  Li, Hailin;  Tian, Jie;  Ouyang, Fusheng;  Mo, Xiaokai;  Zhang, Bin;  Luo, Xiaoning;  Lian, Zhouyang;  Pei, Shufang;  Dong, Yuhao;  Huang, Wenhui;  Liang, Changhong;  Liu, Jing;  Zhang, Shuixing
浏览  |  Adobe PDF(1622Kb)  |  收藏  |  浏览/下载:414/61  |  提交时间:2019/07/12
Distant metastasis  Nasopharyngeal carcinoma  Risk assessment  Prognostic tool  Magnetic resonance imaging  
Prognostic value of computed tomography radiomics features in patients with gastric cancer following curative resection 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 6, 页码: 3079-3089
作者:  Li, Wuchao;  Zhang, Liwen;  Tian, Chong;  Song, Hui;  Fang, Mengjie;  Hu, Chaoen;  Zang, Yali;  Cao, Ying;  Dai, Shiyuan;  Wang, Fang;  Dong, Di;  Wang, Rongpin;  Tian, Jie
Adobe PDF(1951Kb)  |  收藏  |  浏览/下载:541/143  |  提交时间:2019/07/12
Multidetector computed tomography  Stomach neoplasms  Survival