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A Computed Tomography-Based Radiomic Prognostic Marker of Advanced High-Grade Serous Ovarian Cancer Recurrence: A Multicenter Study 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 12
Authors:  Wei, Wei;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bei, Yan;  Wei, Wei;  Wang, Shuo;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
Favorite  |  View/Download:11/0  |  Submit date:2019/07/12
advanced high-grade serous ovarian cancer  CT  prognosis  radiomics  recurrence  
Radiomics Analysis on T2-MR Image to Predict Lymphovascular Space Invasion in Cervical Cancer 会议论文
, San Diego, USA, 2019-2
Authors:  Wang, Shuo;  Chen, Xi;  Liu, Zhenyu;  Wu, Qingxia;  Zhu, Yongbei;  Wang, Meiyun;  Tian, Jie
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Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning 期刊论文
European Respiratory Journal, 2019, 期号: 53, 页码: 1800986
Authors:  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
View  |  Adobe PDF(743Kb)  |  Favorite  |  View/Download:35/6  |  Submit date:2019/04/30
Lung Adenocarcinoma  Epidermal Growth Factor Receptor Mutation  Lung Cancer  Deep Learning  Artificial Intelligence  Health Informatics  
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
Authors:  Liu, Zhenyu;  Wang, Shuo;  Dong, Di;  Wei, Jingwei;  Fang, Cheng;  Zhou, Xuezhi;  Sun, Kai;  Li, Longfei;  Li, Bo;  Wang, Meiyun;  Tian, Jie
View  |  Adobe PDF(2057Kb)  |  Favorite  |  View/Download:34/4  |  Submit date: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
Authors:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
View  |  Adobe PDF(1623Kb)  |  Favorite  |  View/Download:34/7  |  Submit date:2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning  
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis 会议论文
, Honolulu, Hawaii, USA, 2018-7
Authors:  Wang, Shuo;  Liu, Zhenyu;  Chen, Xi;  Zhu, Yongbei;  Zhou, Hongyu;  Tang, Zhenchao;  Wei, Wei;  Dong, Di;  Wang, Meiyun;  Tian, Jie
View  |  Adobe PDF(797Kb)  |  Favorite  |  View/Download:28/12  |  Submit date:2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
基于ACP行为动力学的犯罪主体行为平行建模分析 期刊论文
自动化学报, 2018, 卷号: 44, 期号: 2, 页码: 251-261
Authors:  刘烁;  王帅;  孟庆振;  叶佩军;  王涛;  黄文林;  王飞跃
View  |  Adobe PDF(4593Kb)  |  Favorite  |  View/Download:50/9  |  Submit date:2019/01/28
犯罪,主体行为建模,Acp方法,平行系统,行为动力学  
Parallel Crime Scene Analysis Based on ACP Approach 期刊论文
IEEE Transactions on Computational Social Systems, 2018, 卷号: 5, 期号: 1, 页码: 244-255
Authors:  Shuai Wang;  Xiao Wang;  Peijun Ye;  Yong Yuan;  Shuo Liu;  Fei-Yue Wang
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Artificial Societies  Computational Experiments And Parallel Execution (Acp) Approach  Computational Experiments  Crime Scene Analysis  Parallel Systems.  
2D and 3D CT Radiomics Features Prognostic Performance Comparison in Non-Small Cell Lung Cancer 期刊论文
TRANSLATIONAL ONCOLOGY, 2017, 卷号: 10, 期号: 6, 页码: 886-894
Authors:  Shen, Chen;  Liu, Zhenyu;  Guan, Min;  Song, Jiangdian;  Lian, Yucheng;  Wang, Shuo;  Tang, Zhenchao;  Dong, Di;  Kong, Lingfei;  Wang, Meiyun;  Shi, Dapeng;  Tian, Jie
View  |  Adobe PDF(859Kb)  |  Favorite  |  View/Download:150/41  |  Submit date:2018/01/13
Radiomics  
Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer 期刊论文
CLINICAL CANCER RESEARCH, 2017, 卷号: 23, 期号: 23, 页码: 7253-7262
Authors:  Liu, Zhenyu;  Zhang, Xiao-Yan;  Shi, Yan-Jie;  Wang, Lin;  Zhu, Hai-Tao;  Tang, Zhenchao;  Wang, Shuo;  Li, Xiao-Ting;  Tian, Jie;  Sun, Ying-Shi
View  |  Adobe PDF(939Kb)  |  Favorite  |  View/Download:220/134  |  Submit date:2018/01/13
Radiomics