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CASIA OpenIR
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Identifying Sinus Invasion in Meningioma Patients before Surgery with Deep Learning 会议论文
, 线上, 2022-4
作者:  Qi Qiu;  Kai Sun;  Jing Zhang;  Panpan Liu;  Liang Wang;  Junting Zhang;  Junlin Zhou;  Zhenyu Liu;  Jie Tian
Adobe PDF(277Kb)  |  收藏  |  浏览/下载：192/52  |  提交时间：2023/06/28
Deep learning  Meningioma  Sinus invasion  Multimodal fusion  
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：299/0  |  提交时间：2019/12/16
Radiomics  FDG PET  MGMT promoter methylation  Glioma  Prognosis  
18F-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
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：230/0  |  提交时间：2019/12/16
Radiomics  FDG PET  MGMT promoter methylation  Glioma  Prognosis  
Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas 期刊论文
JOURNAL OF NEURO-ONCOLOGY, 2018, 卷号: 140, 期号: 2, 页码: 297-306
作者:  Han, Yuqi;  Xie, Zhen;  Zang, Yali;  Zhang, Shuaitong;  Gu, Dongsheng;  Zhou, Mu;  Gevaert, Olivier;  Wei, Jingwei;  Li, Chao;  Chen, Hongyan;  Du, Jiang;  Liu, Zhenyu;  Dong, Di;  Tian, Jie;  Zhou, Dabiao
浏览  |  Adobe PDF(2365Kb)  |  收藏  |  浏览/下载：536/154  |  提交时间：2019/07/12
Lower-grade glioma  1p19q Co-deletion  Prediction  Radiomics  Magnetic resonance imaging  
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：372/53  |  提交时间：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
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：440/104  |  提交时间：2019/04/30
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
浏览  |  Adobe PDF(797Kb)  |  收藏  |  浏览/下载：443/132  |  提交时间：2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
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：1016/623  |  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：477/123  |  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：558/161  |  提交时间：2019/04/30