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CASIA OpenIR
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Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer 期刊论文
NATURE COMMUNICATIONS, 2020, 卷号: 11, 期号: 1, 页码: 11
作者:  Liu, Zhenyu;  Meng, Xiaochun;  Zhang, Hongmei;  Li, Zhenhui;  Liu, Jiangang;  Sun, Kai;  Meng, Yankai;  Dai, Weixing;  Xie, Peiyi;  Ding, Yingying;  Wang, Meiyun;  Cai, Guoxiang;  Tian, Jie
收藏  |  浏览/下载：198/0  |  提交时间：2021/01/07
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：273/0  |  提交时间：2020/09/07
Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study (vol 50, pg 355, 2019) 期刊论文
EBIOMEDICINE, 2020, 卷号: 55, 页码: 1
作者:  Wu, Qingxia;  Yao, Kuan;  Liu, Zhenyu;  Li, Longfei;  Zhao, Xin;  Wang, Shuo;  Shang, Honglei;  Lin, Yusong;  Wen, Zejun;  Zhang, Xiaoan;  Tian, Jie;  Wang, Meiyun
收藏  |  浏览/下载：285/0  |  提交时间：2020/06/22
Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study 期刊论文
EBIOMEDICINE, 2019, 卷号: 50, 页码: 355-365
作者:  Wu, Qingxia;  Yao, Kuan;  Liu, Zhenyu;  Li, Longfei;  Zhao, Xin;  Wang, Shuo;  Shang, Honglei;  Lin, Yusong;  Wen, Zejun;  Tian, Jie;  Wang, Meiyun
收藏  |  浏览/下载：382/0  |  提交时间：2020/03/30
Radiomics  Placenta accreta spectrum  Postpartum haemorrhage  Estimated blood loss  Magnetic resonance imaging  
Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 138, 页码: 141-148
作者:  Wu, Qingxia;  Wang, Shuo;  Chen, Xi;  Wang, Yan;  Dong, Li;  Liu, Zhenyu;  Tian, Jie;  Wang, Meiyun
收藏  |  浏览/下载：394/0  |  提交时间：2019/12/16
Radiomics  Cervical cancer  Lymph nodes  Magnetic resonance imaging  
Identification of Cognitive Dysfunction in Patients with T2DM Using Whole Brain Functional Connectivity 期刊论文
GENOMICS PROTEOMICS & BIOINFORMATICS, 2019, 卷号: 17, 期号: 4, 页码: 441-452
作者:  Liu, Zhenyu;  Liu, Jiangang;  Yuan, Huijuan;  Liu, Taiyuan;  Cui, Xingwei;  Tang, Zhenchao;  Du, Yang;  Wang, Meiyun;  Lin, Yusong;  Tian, Jie
收藏  |  浏览/下载：256/0  |  提交时间：2020/03/30
Type 2 diabetes mellitus  Resting state functional connectivity  Elastic net  Support vector machines  MoCA  
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
作者:  Wei, Wei;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bei, Yan;  Wei, Wei;  Wang, Shuo;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
收藏  |  浏览/下载：308/0  |  提交时间：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
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：395/94  |  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：910/553  |  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：444/116  |  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