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CASIA OpenIR
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Deep Learning-Based Prediction of Future Extrahepatic Metastasis and Macrovascular Invasion in Hepatocellular Carcinoma 期刊论文
JOURNAL OF HEPATOCELLULAR CARCINOMA, 2021, 卷号: 8, 页码: 1065-1076
作者:  Fu, Sirui;  Pan, Meiqing;  Zhang, Jie;  Zhang, Hui;  Tang, Zhenchao;  Li, Yong;  Mu, Wei;  Huang, Jianwen;  Dong, Di;  Duan, Chongyang;  Li, Xiaoqun;  Wang, Shuo;  Chen, Xudong;  He, Xiaofeng;  Yan, Jianfeng;  Lu, Ligong;  Tian, Jie
收藏  |  浏览/下载：258/0  |  提交时间：2021/11/03
aggressive disease progression  deep learning radiomics  clinical factors  high-risk  risk prediction  
A Deep Learning Risk Prediction Model for Overall Survival in Patients with Gastric Cancer: A Multicenter Study 期刊论文
Radiotherapy and oncology, 2020, 卷号: 150, 期号: 1, 页码: 73-80
作者:  Zhang, Liwen;  Dong, Di;  Zhang, Wenjuan;  Hao, Xiaohan;  Fang, Mengjie;  Wang, Shuo;  Li, Wuchao;  Liu, Zaiyi;  Wang, Rongpin;  Zhou, Junlin;  Tian, Jie
浏览  |  Adobe PDF(1185Kb)  |  收藏  |  浏览/下载：270/63  |  提交时间：2020/10/25
Gastric Cancer  
Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer 期刊论文
JAMA NETWORK OPEN, 2020, 卷号: 3, 期号: 7, 页码: 13
作者:  Wu, Qingxia;  Wang, Shuo;  Zhang, Shuixing;  Wang, Meiyun;  Ding, Yingying;  Fang, Jin;  Qian, Wei;  Liu, Zhenyu;  Sun, Kai;  Jin, Yan;  Ma, He;  Tian, Jie
收藏  |  浏览/下载：292/0  |  提交时间：2020/09/07
A deep learning radiomics model for preoperative grading in meningioma 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 116, 页码: 128-134
作者:  Zhu, Yongbei;  Man, Chuntao;  Gong, Lixin;  Dong, Di;  Yu, Xinyi;  Wang, Shuo;  Fang, Mengjie;  Wang, Siwen;  Fang, Xiangming;  Chen, Xuzhu;  Tian, Jie
Adobe PDF(1336Kb)  |  收藏  |  浏览/下载：406/31  |  提交时间：2019/07/11
Radiomics  Deep learning  Meningioma  Tumor grading  Magnetic resonance imaging  
基于深度学习的小样本肿瘤CT影像分析算法研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2019
作者:  王硕
Adobe PDF(6465Kb)  |  收藏  |  浏览/下载：538/2  |  提交时间：2019/07/08
计算机断层扫描（ct）  深度学习  肿瘤分割  半监督学习  预后分析  
Radiomics Analysis on T2-MR Image to Predict Lymphovascular Space Invasion in Cervical Cancer 会议论文
, San Diego, USA, 2019-2
作者:  Wang, Shuo;  Chen, Xi;  Liu, Zhenyu;  Wu, Qingxia;  Zhu, Yongbei;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(540Kb)  |  收藏  |  浏览/下载：425/101  |  提交时间：2019/04/30
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：426/127  |  提交时间：2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
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：989/610  |  提交时间：2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
作者:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
浏览  |  Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：464/120  |  提交时间：2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning  
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：545/159  |  提交时间：2019/04/30