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Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study 期刊论文
MEDICAL PHYSICS, 2021, 页码: 12
作者:  Wu, Xiangjun;  Dong, Di;  Zhang, Lu;  Fang, Mengjie;  Zhu, Yongbei;  He, Bingxi;  Ye, Zhaoxiang;  Zhang, Minming;  Zhang, Shuixing;  Tian, Jie
Adobe PDF(3862Kb)  |  收藏  |  浏览/下载:648/356  |  提交时间:2021/05/06
deep learning  peritumor  radiomics  
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载:286/45  |  提交时间:2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
Multi-Habitat Based Radiomics for the Prediction of Treatment Response to Concurrent Chemotherapy and Radiation Therapy in Locally Advanced Cervical Cancer 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 8
作者:  Fang, Mengjie;  Kan, Yangyang;  Dong, Di;  Yu, Tao;  Zhao, Nannan;  Jiang, Wenyan;  Zhong, Lianzhen;  Hu, Chaoen;  Luo, Yahong;  Tian, Jie
Adobe PDF(730Kb)  |  收藏  |  浏览/下载:321/51  |  提交时间:2020/06/22
cervical cancer  MRI  radiomics  treatment response prediction  concurrent chemotherapy and radiation therapy  precision medicine  
Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2020, 卷号: 145, 期号: 1, 页码: 13-20
作者:  Zhang, Wenjuan;  Fang, Mengjie;  Dong, Di;  Wang, Xiaoxiao;  Ke, Xiaoai;  Zhang, Liwen;  Hu, Chaoen;  Guo, Lingyun;  Guan, Xiaoying;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
浏览  |  Adobe PDF(1203Kb)  |  收藏  |  浏览/下载:303/70  |  提交时间:2020/06/22
Gastric cancer  Computed tomography  Radiomics  Deep learning  Prognosis  
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:259/60  |  提交时间:2020/10/25
Computed tomography (CT)  
A Deep Learning Risk Prediction Model for Overall Survival in Patients with Gastric Cancer: A Multicenter Study 期刊论文
Radiotherapy and oncology, 2020, 卷号: 150, 期号: 1, 页码: 73-80
作者:  Zhang, Liwen;  Dong, Di;  Zhang, Wenjuan;  Hao, Xiaohan;  Fang, Mengjie;  Wang, Shuo;  Li, Wuchao;  Liu, Zaiyi;  Wang, Rongpin;  Zhou, Junlin;  Tian, Jie
浏览  |  Adobe PDF(1185Kb)  |  收藏  |  浏览/下载:244/59  |  提交时间:2020/10/25
Gastric Cancer  
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:418/113  |  提交时间:2019/12/16
Multiple sclerosis  Neuromyelitis optica spectrum disorder  Radiomics  Nomogram  Magnetic resonance imaging  
A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 7, 页码: 3325-3337
作者:  Tan, Yan;  Zhang, Shuai-tong;  Wei, Jing-wei;  Dong, Di;  Wang, Xiao-chun;  Yang, Guo-qiang;  Tian, Jie;  Zhang, Hui
浏览  |  Adobe PDF(3873Kb)  |  收藏  |  浏览/下载:386/69  |  提交时间:2019/07/11
Astrocytoma  Radiomics  Nomogram  Isocitrate dehydrogenase  Survival  
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:473/127  |  提交时间:2019/07/12
Multidetector computed tomography  Stomach neoplasms  Survival