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Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 5, 页码: 2284-2292
作者:  Fang, Jin;  Zhang, Bin;  Wang, Shuo;  Jin, Yan;  Wang, Fei;  Ding, Yingying;  Chen, Qiuying;  Chen, Liting;  Li, Yueyue;  Li, Minmin;  Chen, Zhuozhi;  Liu, Lizhi;  Liu, Zhenyu;  Tian, Jie;  Zhang, Shuixing
收藏  |  浏览/下载：330/0  |  提交时间：2020/03/30
cervical cancer  magnetic resonance imaging  radiomics  disease-free survival  
A Non-invasive Radiomic Method Using F-18-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 11
作者:  Li, Longfei;  Mu, Wei;  Wang, Yaning;  Liu, Zhenyu;  Liu, Zehua;  Wang, Yu;  Ma, Wenbin;  Kong, Ziren;  Wang, Shuo;  Zhou, Xuezhi;  Wei, Wei;  Cheng, Xin;  Lin, Yusong;  Tian, Jie
收藏  |  浏览/下载：319/0  |  提交时间：2020/03/30
F-18-FDG PET  radiomics  glioma  isocitrate dehydrogenase  non-invasive prediction  
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：400/95  |  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：945/584  |  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：453/118  |  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：530/156  |  提交时间：2019/04/30
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
作者:  Shen, Chen;  Liu, Zhenyu;  Guan, Min;  Song, Jiangdian;  Lian, Yucheng;  Wang, Shuo;  Tang, Zhenchao;  Dong, Di;  Kong, Lingfei;  Wang, Meiyun;  Shi, Dapeng;  Tian, Jie
浏览  |  Adobe PDF(859Kb)  |  收藏  |  浏览/下载：488/109  |  提交时间：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
作者:  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
浏览  |  Adobe PDF(939Kb)  |  收藏  |  浏览/下载：921/431  |  提交时间：2018/01/13
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：555/222  |  提交时间：2018/01/08
Lung Nodule Segmentation  Convolutional Neural Networks  Deep Learning  Computer-aided Diagnosis