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A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
作者:  Meng, Lingwei;  Dong, Di;  Li, Liang;  Niu, Meng;  Bai, Yan;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
Adobe PDF(4120Kb)  |  收藏  |  浏览/下载：323/54  |  提交时间：2021/03/02
COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence  
Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study 期刊论文
ANNALS OF ONCOLOGY, 2020, 卷号: 31, 期号: 7, 页码: 912-920
作者:  Dong, Di;  Fang, Mengjie;  Tang, Lei;  Shan, Xiuhong;  Gao, Jianbo;  Giganti, Francesco;  Wang, Rongpin;  Chen, Xin;  Wang, Xiaoxiao;  Palumbo, Diego;  Fu, Jia;  Li, Wuchao;  Li, Jing;  Zhong, Lianzhen;  De Cobelli, Francesco;  Ji, Jiafu;  Liu, Zaiyi;  Tian, Jie
浏览  |  Adobe PDF(2209Kb)  |  收藏  |  浏览/下载：408/65  |  提交时间：2020/07/20
deep learning  locally advanced gastric cancer  lymph node metastasis  radiomic nomogram  
Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer 期刊论文
EUROPEAN RADIOLOGY, 2020, 页码: 10
作者:  Li, Jing;  Dong, Di;  Fang, Mengjie;  Wang, Rui;  Tian, Jie;  Li, Hailiang;  Gao, Jianbo
Adobe PDF(1808Kb)  |  收藏  |  浏览/下载：327/46  |  提交时间：2020/03/30
Gastric cancer  Tomography  X-ray computed  Lymph node  Radiomics  Deep learning  
Diagnostic accuracy of dual-energy CT-based nomograms to predict lymph node metastasis in gastric cancer 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 12, 页码: 5241-5249
作者:  Li, Jing;  Fang, Mengjie;  Wang, Rui;  Dong, Di;  Tian, Jie;  Liang, Pan;  Liu, Jie;  Gao, Jianbo
Adobe PDF(2248Kb)  |  收藏  |  浏览/下载：317/31  |  提交时间：2019/07/12
Gastric cancer  Dual-energy CT  Lymph node metastasis  Nomogram  
A Multi-view Deep Convolutional Neural Networks for Lung Nodule Segmentation 会议论文
, Jeju Island, Korea, 2017-7
作者:  Wang, Shuo;  Zhou, Mu;  Gevaert, Olivier;  Tang, Zhenchao;  Dong, Di;  Liu, Zhenyu;  Tian, Jie
浏览  |  Adobe PDF(962Kb)  |  收藏  |  浏览/下载：385/160  |  提交时间：2019/04/30
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges 期刊论文
Theranostics, 2019, 卷号: 9, 期号: 5, 页码: 1303-1322
作者:  Liu, Zhenyu;  Wang, Shuo;  Dong, Di;  Wei, Jingwei;  Fang, Cheng;  Zhou, Xuezhi;  Sun, Kai;  Li, Longfei;  Li, Bo;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(2057Kb)  |  收藏  |  浏览/下载：953/589  |  提交时间：2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma 期刊论文
CLINICAL CANCER RESEARCH, 2017, 卷号: 23, 期号: 15, 页码: 4259-4269
作者:  Zhang, Bin;  Tian, Jie;  Dong, Di;  Gu, Dongsheng;  Dong, Yuhao;  Zhang, Lu;  Lian, Zhouyang;  Liu, Jing;  Luo, Xiaoning;  Pei, Shufang;  Mo, Xiaokai;  Huang, Wenhui;  Ouyang, Fusheng;  Guo, Baoliang;  Liang, Long;  Chen, Wenbo;  Liang, Changhong;  Zhang, Shuixing
浏览  |  Adobe PDF(1169Kb)  |  收藏  |  浏览/下载：308/47  |  提交时间：2018/03/03
Advanced Nasopharyngeal Carcinoma  
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation 期刊论文
MEDICAL IMAGE ANALYSIS, 2017, 卷号: 40, 期号: 40, 页码: 172-183
作者:  Wang, Shuo;  Zhou, Mu;  Liu, Zaiyi;  Liu, Zhenyu;  Gu, Dongsheng;  Zang, Yali;  Dong, Di;  Gevaert, Olivier;  Tian, Jie
浏览  |  Adobe PDF(3023Kb)  |  收藏  |  浏览/下载：557/222  |  提交时间：2018/01/08
Lung Nodule Segmentation  Convolutional Neural Networks  Deep Learning  Computer-aided Diagnosis  
Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis 期刊论文
Scientific Reports, 2016, 卷号: 6, 期号: 38282, 页码: 1-9
作者:  Song, Jiangdian;  Liu, Zaiyi;  Zhong, Wenzhao;  Huang, Yanqi;  Ma, Zelan;  Dong, Di;  Liang, Changhong;  Tian, Jie
浏览  |  Adobe PDF(585Kb)  |  收藏  |  浏览/下载：406/98  |  提交时间：2017/02/14
Radiomics  
Prediction of Malignant and Benign of Lung Tumor using a Quantitative Radiomic Method 会议论文
Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, Florida USA, 2016-8
作者:  Wang, Jun;  Liu, Xia;  Dong, Di;  Song, Jiangdian;  Xu, Min;  Zang, Yali;  Tian, Jie;  Tian Jie
浏览  |  Adobe PDF(272Kb)  |  收藏  |  浏览/下载：443/229  |  提交时间：2016/10/28
Radiomics