中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共12条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
CONVOLUTIONAL NEURAL NETWORKS FOR PREDICTING MOLECULAR PROFILES OF NON-SMALL CELL LUNG CANCER 会议论文
IEEE International Symposium on Biomedical Imaging. 2017., 澳大利亚墨尔本, 2017.04.17-2017.04.22
作者:  Dongdong,Yu;  Mu,Zhou;  Feng,Yang;  Di,Dong;  Olivier,Gevaert;  Zaiyi,Liu;  Jingyun,Shi;  Jie,Tian
收藏  |  浏览/下载：83/0  |  提交时间：2020/10/27
Non-small Cell Lung Carcinoma  Convolutional Neural Networks  Computed Tomography  Computed-aided Diagnosis  
Noninvasive Prediction of High-Grade Prostate Cancer via Biparametric MRI Radiomics 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 页码: 8
作者:  Gong, Lixin;  Xu, Min;  Fang, Mengjie;  Zou, Jian;  Yang, Shudong;  Yu, Xinyi;  Xu, Dandan;  Zhou, Lijuan;  Li, Hailin;  He, Bingxi;  Wang, Yan;  Fang, Xiangming;  Dong, Di;  Tian, Jie
Adobe PDF(733Kb)  |  收藏  |  浏览/下载：287/39  |  提交时间：2020/06/02
prostate cancer  radiomics  Gleason score  biparametric MRI  
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：462/146  |  提交时间：2019/07/12
Lower-grade glioma  1p19q Co-deletion  Prediction  Radiomics  Magnetic resonance imaging  
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis 会议论文
, Honolulu, Hawaii, USA, 2018-7
作者:  Wang, Shuo;  Liu, Zhenyu;  Chen, Xi;  Zhu, Yongbei;  Zhou, Hongyu;  Tang, Zhenchao;  Wei, Wei;  Dong, Di;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(797Kb)  |  收藏  |  浏览/下载：377/121  |  提交时间：2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
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：369/158  |  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：847/510  |  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：501/154  |  提交时间：2019/04/30
A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy 期刊论文
CLINICAL CANCER RESEARCH, 2018, 卷号: 24, 期号: 15, 页码: 3583-3592
作者:  Song, Jiangdian;  Shi, Jingyun;  Dong, Di;  Fang, Mengjie;  Zhong, Wenzhao;  Wang, Kun;  Wu, Ning;  Huang, Yanqi;  Liu, Zhenyu;  Cheng, Yue;  Gan, Yuncui;  Zhou, Yongzhao;  Zhou, Ping;  Chen, Bojiang;  Liang, Changhong;  Liu, Zaiyi;  Li, Weimin;  Tian, Jie
浏览  |  Adobe PDF(1305Kb)  |  收藏  |  浏览/下载：371/84  |  提交时间：2018/10/10
EGFR-TKI therapy  
Diagnosis of Distant Metastasis of Lung Cancer: Based on Clinical and Radiomic Features 期刊论文
TRANSLATIONAL ONCOLOGY, 2018, 卷号: 11, 期号: 1, 页码: 31-36
作者:  Zhou, Hongyu;  Dong, Di;  Chen, Bojiang;  Fang, Mengjie;  Cheng, Yue;  Gan, Yuncun;  Zhang, Rui;  Zhang, Liwen;  Zang, Yali;  Liu, Zhenyu;  Zheng, Hairong;  Li, Weimin;  Tian, Jie
浏览  |  Adobe PDF(626Kb)  |  收藏  |  浏览/下载：335/60  |  提交时间：2018/01/09
Radiomics  
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：543/222  |  提交时间：2018/01/08
Lung Nodule Segmentation  Convolutional Neural Networks  Deep Learning  Computer-aided Diagnosis