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Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 10, 页码: 3933-3942
作者:  Zhang, Liwen;  Dong, Di;  Zhong, Lianzhen;  Li, Cong;  Hu, Chaoen;  Yang, Xin;  Liu, Zaiyi;  Wang, Rongpin;  Zhou, Junlin;  Tian, Jie
收藏  |  浏览/下载：226/0  |  提交时间：2021/12/28
Hazards  Feature extraction  Computed tomography  Cancer  Radiomics  Indexes  Bioinformatics  Overall survival  gastric cancer  multi-level  CT image  deep learning  
Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images 期刊论文
Theranostics, 2020, 卷号: 0, 期号: 0, 页码: 0
作者:  Tian, Panwen;  He, Bingxi;  Dong, Di;  Mu, Wei;  Liu, Kunqin;  Liu, Li;  Zeng, Hao;  Liu, Yujie;  Jiang, Lili;  Zhou, Ping;  Huang, Zhipei;  Li, Weimin;  Tian, Jie
Adobe PDF(1539Kb)  |  收藏  |  浏览/下载：267/112  |  提交时间：2020/10/25
PD-L1 expression  deep learning  computed tomography  immunotherapy  non-small cell lung cancer.  
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
Adobe PDF(1185Kb)  |  收藏  |  浏览/下载：235/59  |  提交时间：2020/10/25
Gastric Cancer  
Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma 期刊论文
CLINICAL CANCER RESEARCH, 2019, 卷号: 25, 期号: 14, 页码: 4271-4279
作者:  Peng, Hao;  Dong, Di;  Fang, Meng-Jie;  Li, Lu;  Tang, Ling-Long;  Chen, Lei;  Li, Wen-Fei;  Mao, Yan-Ping;  Fan, Wei;  Liu, Li-Zhi;  Tian, Li;  Lin, Ai-Hua;  Sun, Ying;  Tian, Jie;  Ma, Jun
浏览  |  Adobe PDF(1141Kb)  |  收藏  |  浏览/下载：334/53  |  提交时间：2019/12/16
Advanced Nasopharyngeal Carcinoma  
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：344/47  |  提交时间：2019/07/12
Distant metastasis  Nasopharyngeal carcinoma  Risk assessment  Prognostic tool  Magnetic resonance imaging