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Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Deep Learning: A Multi-Center and Prospective Validation Study 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 10, 页码: 19
Authors:  Wei, Jingwei;  Jiang, Hanyu;  Zeng, Mengsu;  Wang, Meiyun;  Niu, Meng;  Gu, Dongsheng;  Chong, Huanhuan;  Zhang, Yanyan;  Fu, Fangfang;  Zhou, Mu;  Chen, Jie;  Lyv, Fudong;  Wei, Hong;  Bashir, Mustafa R.;  Song, Bin;  Li, Hongjun;  Tian, Jie
Adobe PDF(2568Kb)  |  Favorite  |  View/Download:39/2  |  Submit date:2021/06/15
hepatocellular carcinoma  microvascular invasion  magnetic resonance imaging  computed tomography  deep learning  
Comparing radiomics models with different inputs for accurate diagnosis of significant fibrosis in chronic liver disease 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 12
Authors:  Lu, Xue;  Zhou, Hui;  Wang, Kun;  Jin, Jieyang;  Meng, Fankun;  Mu, Xiaojie;  Li, Shuoyang;  Zheng, Rongqin;  Tian, Jie
Favorite  |  View/Download:18/0  |  Submit date:2021/06/07
Liver disease  Hepatic cirrhosis  Elasticity imaging techniques  Deep learning  
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:69/0  |  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:60/0  |  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:100/0  |  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:87/5  |  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:336/172  |  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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