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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：359/88  |  提交时间：2020/06/22
Gastric cancer  Computed tomography  Radiomics  Deep learning  Prognosis  
CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 7, 页码: 8
作者:  Fang, Mengjie;  He, Bingxi;  Li, Li;  Dong, Di;  Yang, Xin;  Li, Cong;  Meng, Lingwei;  Zhong, Lianzhen;  Li, Hailin;  Li, Hongjun;  Tian, Jie
Adobe PDF(250Kb)  |  收藏  |  浏览/下载：435/62  |  提交时间：2020/06/02
coronavirus disease 2019  radiomics  pneumonia  diagnosis  
Heterogeneity of metastatic gastrointestinal stromal tumor on texture analysis: DWI texture as potential biomarker of overall survival 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 125, 页码: 6
作者:  Fu, Jia;  Fang, Meng-jie;  Dong, Di;  Li, Jian;  Sun, Ying-shi;  Tian, Jie;  Tang, Lei
Adobe PDF(1543Kb)  |  收藏  |  浏览/下载：326/45  |  提交时间：2020/06/02
Gastrointestinal stromal tumor  Prognosis  Magnetic resonance imaging  Texture analysis  
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：352/55  |  提交时间：2020/03/30
Gastric cancer  Tomography  X-ray computed  Lymph node  Radiomics  Deep learning  
Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas 期刊论文
JOURNAL OF NEURO-ONCOLOGY, 2018, 卷号: 140, 期号: 2, 页码: 297-306
作者:  Han, Yuqi;  Xie, Zhen;  Zang, Yali;  Zhang, Shuaitong;  Gu, Dongsheng;  Zhou, Mu;  Gevaert, Olivier;  Wei, Jingwei;  Li, Chao;  Chen, Hongyan;  Du, Jiang;  Liu, Zhenyu;  Dong, Di;  Tian, Jie;  Zhou, Dabiao
浏览  |  Adobe PDF(2365Kb)  |  收藏  |  浏览/下载：537/154  |  提交时间：2019/07/12
Lower-grade glioma  1p19q Co-deletion  Prediction  Radiomics  Magnetic resonance imaging  
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：1020/624  |  提交时间：2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
Stripe artifact elimination based on nonsubsampled contourlet transform for light sheet fluorescence microscopy 期刊论文
JOURNAL OF BIOMEDICAL OPTICS, 2016, 卷号: 21, 期号: 10, 页码: 1-9
作者:  Liang, Xiao;  Zang, Yali;  Dong, Di;  Zhang, Liwen;  Fang, Mengjie;  Yang, Xin;  Arranz, Alicia;  Ripoll, Jorge;  Hui, Hui;  Tian, Jie
浏览  |  Adobe PDF(8403Kb)  |  收藏  |  浏览/下载：435/126  |  提交时间：2017/02/14
Light Sheet Fluorescence Microscopy  Nonsubsampled Contourlet Transform  Stripe Artifact  
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：499/238  |  提交时间：2016/10/28
Radiomics  
Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 61, 期号: 61, 页码: 663-673
作者:  Shen, Wei;  Zhou, Mu;  Yang, Feng;  Yu, Dongdong;  Dong, Di;  Yang, Caiyun;  Zang, Yali;  Tian, Jie;  Feng Yang, Jie Tian
浏览  |  Adobe PDF(1358Kb)  |  收藏  |  浏览/下载：1333/608  |  提交时间：2016/10/21
Lung Nodule  Malignancy Suspiciousness  Convolutional Neural Network  Multi-crop Pooling  
Brain vascular image enhancement based on gradient adjust with split bregman 会议论文
SPIE Proceedings, San Francisco, California, United States, 2016-2-13
作者:  Liang Xiao(梁潇);  Dong Di;  Hui Hui;  Zhang Liwen;  Fang Mengjie;  Tian Jie
Adobe PDF(214Kb)  |  收藏  |  浏览/下载：353/115  |  提交时间：2016/07/01
Brain Vascular Image Enhancement  Light Sheet Microscopy  Split Bregman Algorithm  Gradient Image Adjust  L1-regularization