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CASIA OpenIR
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3D Deep Learning Model for the Pretreatment Evaluation of Treatment Response in Esophageal Carcinoma: A Prospective Study (ChiCTR2000039279) 期刊论文
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 卷号: 111, 期号: 4, 页码: 926-935
作者:  Li, Xiaoqin;  Gao, Han;  Zhu, Jian;  Huang, Yong;  Zhu, Yongbei;  Huang, Wei;  Li, Zhenjiang;  Sun, Kai;  Liu, Zhenyu;  Tian, Jie;  Li, Baosheng
收藏  |  浏览/下载：249/0  |  提交时间：2021/12/28
Neuroimaging Phenotyping and Assessment of Structural-Metabolic-Electrophysiological Alterations in the Temporal Neocortex of Focal Cortical Dysplasia IIIa 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2021, 页码: 11
作者:  Mo, Jiajie;  Wei, Wei;  Liu, Zhenyu;  Zhang, Jianguo;  Ma, Yanshan;  Sang, Lin;  Hu, Wenhan;  Zhang, Chao;  Wang, Yao;  Wang, Xiu;  Liu, Chang;  Zhao, Baotian;  Gao, Dongmei;  Tian, Jie;  Zhang, Kai
收藏  |  浏览/下载：253/0  |  提交时间：2021/05/17
focal cortical dysplasia  temporal neocortex  neuroimaging phenotyping  cross‐  modalities correlation  
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：332/0  |  提交时间：2020/03/30
F-18-FDG PET  radiomics  glioma  isocitrate dehydrogenase  non-invasive prediction  
Radiomics signature based on FDG-PET predicts proliferative activity in primary glioma 期刊论文
CLINICAL RADIOLOGY, 2019, 卷号: 74, 期号: 10, 页码: 9
作者:  Kong, Z.;  Li, J.;  Liu, Zehua;  Liu, Zhenyu;  Zhao, D.;  Cheng, X.;  Li, L.;  Lin, Y.;  Wang, Y.;  Tian, J.;  Ma, W.
收藏  |  浏览/下载：309/0  |  提交时间：2019/12/16
F-18-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma 期刊论文
CANCER IMAGING, 2019, 卷号: 19, 期号: 1, 页码: 10
作者:  Kong, Ziren;  Lin, Yusong;  Jiang, Chendan;  Li, Longfei;  Liu, Zehua;  Wang, Yuekun;  Dai, Congxin;  Liu, Delin;  Qin, Xuying;  Wang, Yu;  Liu, Zhenyu;  Cheng, Xin;  Tian, Jie;  Ma, Wenbin
收藏  |  浏览/下载：286/0  |  提交时间：2019/12/16
Radiomics  FDG PET  MGMT promoter methylation  Glioma  Prognosis  
Differentiation of atypical non-functional pancreatic neuroendocrine tumor and pancreatic ductal adenocarcinoma using CT based radiomics 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 117, 页码: 102-111
作者:  He, Ming;  Liu, Zhenyu;  Lin, Yusong;  Wan, Jianzhong;  Li, Juan;  Xu, Kai;  Wang, Yun;  Jin, Zhengyu;  Tian, Jie;  Xue, Huadan
收藏  |  浏览/下载：273/0  |  提交时间：2019/12/16
Pancreatic ductal carcinoma  Neuroendocrine tumor  Multidetector computed tomography  Radiomics  Differential diagnosis  
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
作者:  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
Adobe PDF(2101Kb)  |  收藏  |  浏览/下载：352/48  |  提交时间：2019/07/12
Locally advanced rectal cancer  Neoadjuvant chemoradiotherapy  Organ-preserving strategies  Diffusion weighted imaging  Decision support  
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：317/0  |  提交时间：2019/07/12
advanced high-grade serous ovarian cancer  CT  prognosis  radiomics  recurrence  
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
Adobe PDF(2057Kb)  |  收藏  |  浏览/下载：975/600  |  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
Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：462/120  |  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