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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：674/358  |  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：325/54  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
Development and External Validation of Radiomics Approach for Nuclear Grading in Clear Cell Renal Cell Carcinoma 期刊论文
ANNALS OF SURGICAL ONCOLOGY, 2020, 卷号: 27, 期号: 10, 页码: 4057–4065
作者:  Zhou, Hongyu;  Mao, Haixia;  Dong, Di;  Fang, Mengjie;  Gu, Dongsheng;  Liu, Xueling;  Xu, Min;  Yang, Shudong;  Zou, Jian;  Yin, Ruohan;  Zheng, Hairong;  Tian, Jie;  Pan, Changjie;  Fang, Xiangming;  Zhou, Hongyu;  Mao, Haixia;  Dong, Di;  Fang, Mengjie;  Gu, Dongsheng;  Liu, Xueling;  Xu, Min;  Yang, Shudong;  Zou, Jian;  Yin, Ruohan;  Zheng, Hairong;  Tian, Jie;  Pan, Changjie;  Fang, Xiangming
浏览  |  Adobe PDF(1325Kb)  |  收藏  |  浏览/下载：316/69  |  提交时间：2020/06/22
Clear Cell Renal Cell Carcinoma  
Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker 期刊论文
JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2020, 卷号: 8, 期号: 2, 页码: 10
作者:  He, Bingxi;  Dong, Di;  She, Yunlang;  Zhou, Caicun;  Fang, Mengjie;  Zhu, Yongbei;  Zhang, Henghui;  Huang, Zhipei;  Jiang, Tao;  Tian, Jie;  Chen, Chang
浏览  |  Adobe PDF(5232Kb)  |  收藏  |  浏览/下载：337/55  |  提交时间：2020/08/24
immunotherapy  lung neoplasms  tumor microenvironment  biomarkers  tumor  biostatistics  
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
浏览  |  Adobe PDF(1539Kb)  |  收藏  |  浏览/下载：284/114  |  提交时间：2020/10/25
PD-L1 expression  deep learning  computed tomography  immunotherapy  non-small cell lung 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：439/117  |  提交时间：2019/12/16
Multiple sclerosis  Neuromyelitis optica spectrum disorder  Radiomics  Nomogram  Magnetic resonance imaging  
Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 118, 页码: 231-238
作者:  Lu, Wei;  Zhong, Lianzhen;  Dong, Di;  Fang, Mengjie;  Dai, Qi;  Leng, Shaoyi;  Zhang, Liwen;  Sun, Wei;  Tian, Jie;  Zheng, Jianjun;  Jin, Yinhua
Adobe PDF(781Kb)  |  收藏  |  浏览/下载：392/70  |  提交时间：2019/12/16
Forecasting  Thyroid neoplasms  Lymphatic metastasis  
Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer 期刊论文
ANNALS OF ONCOLOGY, 2019, 卷号: 30, 期号: 3, 页码: 431-438
作者:  Dong, Di;  Tang, Lei;  Li, Ziyu;  Fang, Mengjie;  Gao, Jianbo;  Shan, Xiuhong;  Ying, Xiangji;  Sun, Yingshi;  Fu, Jia;  Wang, Xiaoxiao;  Li, Liming;  Li, Zhenhui;  Zhang, Dafu;  Zhang, Yan;  Li, Zhemin;  Shan, Fei;  Bu, Zhaode;  Tian, Jie;  Ji, Jiafu
Adobe PDF(593Kb)  |  收藏  |  浏览/下载：457/75  |  提交时间：2019/07/12
occult peritoneal metastasis  radiomic nomogram  advanced gastric cancer  
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
Adobe PDF(1622Kb)  |  收藏  |  浏览/下载：375/49  |  提交时间：2019/07/12
Distant metastasis  Nasopharyngeal carcinoma  Risk assessment  Prognostic tool  Magnetic resonance imaging