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Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images 期刊论文
Theranostics, 2020, 卷号: 0, 期号: 0, 页码: 0
Authors:  Tian, Panwen;  He, Bingxi;  Dong, Di;  Mu, Wei;  Liu, Kunqin;  Liu, Li;  Zeng, Hao;  Liu, Yujie;  Jiang, Lili;  Zhou, Ping;  Huang, Zhipei;  Li, Weimin;  Tian, Jie
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PD-L1 expression  deep learning  computed tomography  immunotherapy  non-small cell lung cancer.  
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
Authors:  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
Favorite  |  View/Download:43/0  |  Submit date:2020/03/30
F-18-FDG PET  radiomics  glioma  isocitrate dehydrogenase  non-invasive prediction  
Theranostic liposomes as nanodelivered chemotherapeutics enhanced the microwave ablation of hepatocellular carcinoma 期刊论文
NANOMEDICINE, 2019, 卷号: 14, 期号: 16, 页码: 2151-2167
Authors:  Zhou, Qunfang;  Wang, Kun;  Dou, Jianping;  Cao, Feng;  Liu, Fengyong;  Yuan, Hongjun;  Mu, Mengjuan;  Xu, Jinshun;  Zhang, Dongyun;  Li, Xin;  Tian, Jie;  Yu, Jie;  Liang, Ping
Favorite  |  View/Download:38/0  |  Submit date:2020/03/30
hepatocellular carcinoma  liposomes  microwave ablation  optoacoustic tomography imaging  theranostics  
Development and validation of a prognostic index for efficacy evaluation and prognosis of first-line chemotherapy in stage III-IV lung squamous cell carcinoma 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 5, 页码: 2388-2398
Authors:  Song, Jiangdian;  Tian, Jie;  Zhang, Lina;  Qu, Xiujuan;  Qian, Wei;  Zheng, Bin;  Zhang, Lina;  Zhao, Jia;  Niu, Meng;  Zhou, Mu;  Cui, Lei;  Liu, Yunpeng;  Zhao, Mingfang
Favorite  |  View/Download:75/0  |  Submit date:2019/07/12
Biomarkers  Tumor  Carcinoma  Squamous cell  Prognosis  
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
Authors:  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
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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
Authors:  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
View  |  Adobe PDF(2365Kb)  |  Favorite  |  View/Download:62/4  |  Submit date:2019/07/12
Lower-grade glioma  1p19q Co-deletion  Prediction  Radiomics  Magnetic resonance imaging  
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
Authors:  Wang, Shuo;  Zhou, Mu;  Liu, Zaiyi;  Liu, Zhenyu;  Gu, Dongsheng;  Zang, Yali;  Dong, Di;  Gevaert, Olivier;  Tian, Jie
View  |  Adobe PDF(3023Kb)  |  Favorite  |  View/Download:310/166  |  Submit date:2018/01/08
Lung Nodule Segmentation  Convolutional Neural Networks  Deep Learning  Computer-aided Diagnosis  
A Multi-view Deep Convolutional Neural Networks for Lung Nodule Segmentation 会议论文
, Jeju Island, Korea, 2017-7
Authors:  Wang, Shuo;  Zhou, Mu;  Gevaert, Olivier;  Tang, Zhenchao;  Dong, Di;  Liu, Zhenyu;  Tian, Jie
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CONVOLUTIONAL NEURAL NETWORKS FOR PREDICTING MOLECULAR PROFILES OF NON-SMALL CELL LUNG CANCER 会议论文
IEEE International Symposium on Biomedical Imaging. 2017., 澳大利亚墨尔本, 2017.04.17-2017.04.22
Authors:  Dongdong,Yu;  Mu,Zhou;  Feng,Yang;  Di,Dong;  Olivier,Gevaert;  Zaiyi,Liu;  Jingyun,Shi;  Jie,Tian
Favorite  |  View/Download:1/0  |  Submit date:2020/10/27
Non-small Cell Lung Carcinoma  Convolutional Neural Networks  Computed Tomography  Computed-aided Diagnosis  
Developing a Radiomics Framework for Classifying Non-Small Cell Lung Carcinoma Subtypes 会议论文
SPIE Medical Imaging 2017, Orlando, Florida USA, 2017-02
Authors:  Yu, Dongdong;  Zang, Yali;  Dong, Di;  Zhou, Mu;  Gevaert, Olivier;  Shi, Jingyun;  Tian, Jie
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Radiomics