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A review of the application of machine learning in molecular imaging 期刊论文
Annals of Translational Medicine, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Yin, Lin;  Cao, Zhen;  Wang, Kun;  Tian, Jie;  Yang, Xing;  Zhang, Jianhua
Adobe PDF(4435Kb)  |  收藏  |  浏览/下载：186/36  |  提交时间：2021/06/16
molecular imaging, machine learning, artificial intelligence  
CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 132, 页码: 8
作者:  Sun, Rui-Jia;  Fang, Meng-Jie;  Tang, Lei;  Li, Xiao-Ting;  Lu, Qiao-Yuan;  Dong, Di;  Tian, Jie;  Sun, Ying-Shi
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：293/51  |  提交时间：2021/01/06
Stomach neoplasms  Multi-detector computed tomography  Radiomics  Deep learning  
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：401/64  |  提交时间：2020/07/20
deep learning  locally advanced gastric cancer  lymph node metastasis  radiomic nomogram  
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：396/54  |  提交时间：2020/06/02
coronavirus disease 2019  radiomics  pneumonia  diagnosis  
Radiomics Signature: A Biomarker for the Preoperative Distant Metastatic Prediction of Stage I Nonsmall Cell Lung Cancer 期刊论文
ACADEMIC RADIOLOGY, 2019, 卷号: 26, 期号: 9, 页码: 1253-1261
作者:  Fan, Li;  Fang, MengJie;  Tu, WenTing;  Zhang, Di;  Wang, Yun;  Zhou, Xiuxiu;  Xia, Yi;  Li, ZhaoBin;  Liu, ShiYuan
Adobe PDF(858Kb)  |  收藏  |  浏览/下载：379/114  |  提交时间：2019/12/16
Lung  Nonsmall cell lung cancer  Tomography  X-ray computed  Computational biology  Prognosis  
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：942/581  |  提交时间：2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning 期刊论文
EUROPEAN RESPIRATORY JOURNAL, 2019, 卷号: 53, 期号: 3, 页码: 11
作者:  Wang, Shuo;  Shi, Jingyun;  Ye, Zhaoxiang;  Dong, Di;  Yu, Dongdong;  Zhou, Mu;  Liu, Ying;  Gevaert, Olivier;  Wang, Kun;  Zhu, Yongbei;  Zhou, Hongyu;  Liu, Zhenyu;  Tian, Jie
浏览  |  Adobe PDF(743Kb)  |  收藏  |  浏览/下载：528/156  |  提交时间：2019/04/30
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：555/222  |  提交时间：2018/01/08
Lung Nodule Segmentation  Convolutional Neural Networks  Deep Learning  Computer-aided Diagnosis  
Lung Lesion Extraction Using a Toboggan Based Growing Automatic Segmentation Approach 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2016, 卷号: 35, 期号: 1, 页码: 337-353
作者:  Song, Jiangdian;  Yang, Caiyun;  Fan, Li;  Wang, Kun;  Yang, Feng;  Liu, Shiyuan;  Tian, Jie;  Caiyun YANG, Shiyuan Liu, Jie Tian
浏览  |  Adobe PDF(6639Kb)  |  收藏  |  浏览/下载：453/173  |  提交时间：2016/03/19
Back-off Mechanism  Computed Tomography (Ct)  Lung Lesion Segmentation  Region Growing  Toboggan  
Generation of Segmented Triangular Meshes From CT Images Based on Centroidal Voronoi Tessellation and the Graph Cut Method 期刊论文
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 2014, 卷号: 14, 期号: 1, 页码: -
作者:  Yang, Caiyun;  Ohtake, Yutaka;  Moriguchi, Masaki;  Suzuki, Hiromasa;  Caiyun YANG
浏览  |  Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：299/78  |  提交时间：2015/08/12
Mesh Generation  Centroidal Voronoi Tessellation  Mesh Segmentation  Graph Cut