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Novel radiomic signature as a prognostic biomarker for locally advanced rectal cancer 期刊论文
Journal of Magnetic Resonance Imaging, 2018, 卷号: 48, 期号: 3, 页码: 605-614
作者:  Meng, Yankai;  Zhang, Yuchen;  Dong, Di;  Li, Chunming;  Liang, Xiao;  Zhang, Chongda;  Wan, Lijuan;  Zhao, Xinming;  Xu,Kai;  Zhou,Chunwu;  Tian, Jie;  Zhang, Hongmei
浏览  |  Adobe PDF(1047Kb)  |  收藏  |  浏览/下载：168/68  |  提交时间：2020/10/25
advanced rectal cancer  
LGE-CMR-derived texture features reflect poor prognosis in hypertrophic cardiomyopathy patients with systolic dysfunction: preliminary results 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 11, 页码: 4615-4624
作者:  Cheng, Sainan;  Fang, Mengjie;  Cui, Chen;  Chen, Xiuyu;  Yin, Gang;  Prasad, Sanjay K.;  Dong, Di;  Tian, Jie;  Zhao, Shihua
Adobe PDF(1121Kb)  |  收藏  |  浏览/下载：320/33  |  提交时间：2019/12/16
Hypertrophic cardiomyopathy  Cardiac magnetic resonance  Late gadolinium enhancement  Texture features  Event-free survival  
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
作者:  Wei Jingwei;  Yang Guoqiang;  Hao Xiaohan;  Gu Dongsheng;  Tan Yan;  Wang Xiaochun;  Dong Di;  Zhang Shuaitong;  Wang Le;  Zhang Hui;  Tian Jie
浏览  |  Adobe PDF(3785Kb)  |  收藏  |  浏览/下载：317/102  |  提交时间：2019/05/08
Astrocytoma  Methylation  Prognosis  Diagnostic Imaging  Roc Curve  
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis 会议论文
, Honolulu, Hawaii, USA, 2018-7
作者:  Wang, Shuo;  Liu, Zhenyu;  Chen, Xi;  Zhu, Yongbei;  Zhou, Hongyu;  Tang, Zhenchao;  Wei, Wei;  Dong, Di;  Wang, Meiyun;  Tian, Jie
Adobe PDF(797Kb)  |  收藏  |  浏览/下载：417/125  |  提交时间：2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
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：456/118  |  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  
Non-invasive radiomics approach potentially predicts non-functioning pituitary adenomas subtypes before surgery 期刊论文
EUROPEAN RADIOLOGY, EUROPEAN RADIOLOGY, 2018, 2018, 卷号: 28, 28, 期号: 9, 页码: 3692-3701, 3692-3701
作者:  Zhang, Shuaitong;  Song, Guidong;  Zang, Yali;  Jia, Jian;  Wang, Chao;  Li, Chuzhong;  Tian, Jie;  Dong, Di;  Zhang, Yazhuo
浏览  |  Adobe PDF(1222Kb)  |  收藏  |  浏览/下载：357/72  |  提交时间：2018/10/10
Non-functioning Pituitary Adenomas  Null Cell Adenomas  Radiomics  Support Vector Machine  Nomograms  Non-functioning Pituitary Adenomas  Null Cell Adenomas  Radiomics  Support Vector Machine  Nomograms