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Radiomics-Based Pretherapeutic Prediction of Non-response to Neoadjuvant Therapy in Locally Advanced Rectal Cancer 期刊论文
ANNALS OF SURGICAL ONCOLOGY, 2019, 卷号: 26, 期号: 6, 页码: 1676-1684
Authors:  Zhou, Xuezhi;  Yi, Yongju;  Liu, Zhenyu;  Cao, Wuteng;  Lai, Bingjia;  Sun, Kai;  Li, Longfei;  Zhou, Zhiyang;  Feng, Yanqiu;  Tian, Jie
Favorite  |  View/Download:10/0  |  Submit date:2019/07/11
多序列 MRI影像组学辅助肿瘤无创诊断的研究 学位论文
, 北京市海淀区中关村东路95号: 中国科学院自动化研究所, 2019
Authors:  魏靖伟
Adobe PDF(3432Kb)  |  Favorite  |  View/Download:38/2  |  Submit date:2019/06/28
影像组学  人工智能  肿瘤  无创诊断  磁共振成像  
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
Authors:  王硕
Adobe PDF(6465Kb)  |  Favorite  |  View/Download:44/0  |  Submit date: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  
Quantitative analysis of diffusion weighted imaging to predict pathological good response to neoadjuvant chemoradiation for locally advanced rectal cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 132, 页码: 100-108
Authors:  Tang, Zhenchao;  Zhang, Xiao-Yan;  Liu, Zhenyu;  Li, Xiao-Ting;  Shi, Yan-Jie;  Wang, Shou;  Fang, Mengjie;  Shen, Chen;  Dong, Enqing;  Sun, Ying-Shi;  Tian, Jie
Favorite  |  View/Download:9/0  |  Submit date:2019/07/12
Locally advanced rectal cancer  Neoadjuvant chemoradiotherapy  Organ-preserving strategies  Diffusion weighted imaging  Decision support  
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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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:36/5  |  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:36/7  |  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:31/13  |  Submit date:2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
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:231/142  |  Submit date:2018/01/13
Radiomics