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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
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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
View  |  Adobe PDF(540Kb)  |  Favorite  |  View/Download:47/12  |  Submit date: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
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  
A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication 期刊论文
European Radiology, 2018, 期号: 29, 页码: 877-888
Authors:  Wei Jingwei;  Yang Guoqiang;  Hao Xiaohan;  Gu Dongsheng;  Tan Yan;  Wang Xiaochun;  Dong Di;  Zhang Shuaitong;  Wang Le;  Zhang Hui;  Tian Jie
View  |  Adobe PDF(3785Kb)  |  Favorite  |  View/Download:28/11  |  Submit date:2019/05/08
Astrocytoma  Methylation  Prognosis  Diagnostic Imaging  Roc Curve  
基于深度多层表示的乳腺癌病理图像细胞有丝分裂检测方法 研究报告
2018
Authors:  杨晨雪
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深度学习  有丝分裂细胞检测  生成对抗网络  多粒度级联森林方法  框回归过程  低秩表示  
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