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Improved generative adversarial networks using the total gradient loss for the resolution enhancement of fluorescence images 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2019, 卷号: 10, 期号: 9, 页码: 4742-4756
Authors:  Zhang, Chong;  Wang, Kun;  An, Yu;  He, Kunshan;  Tong, Tong;  Tian, Jie
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Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study 期刊论文
GUT, 2019, 卷号: 68, 期号: 4, 页码: 729-741
Authors:  Wang, Kun;  Lu, Xue;  Zhou, Hui;  Gao, Yongyan;  Zheng, Jian;  Tong, Minghui;  Wu, Changjun;  Liu, Changzhu;  Huang, Liping;  Jiang, Tian'an;  Meng, Fankun;  Lu, Yongping;  Ai, Hong;  Xie, Xiao-Yan;  Yin, Li-Ping;  Liang, Ping;  Tian, Jie;  Zheng, Rongqin
View  |  Adobe PDF(4798Kb)  |  Favorite  |  View/Download:20/1  |  Submit date:2019/09/26
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
View  |  Adobe PDF(743Kb)  |  Favorite  |  View/Download:63/18  |  Submit date:2019/04/30
Radiomics Analysis on T2-MR Image to Predict Lymphovascular Space Invasion in Cervical Cancer 会议论文
, San Diego, USA, 2019-2
Authors:  Wang, Shuo;  Chen, Xi;  Liu, Zhenyu;  Wu, Qingxia;  Zhu, Yongbei;  Wang, Meiyun;  Tian, Jie
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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
Authors:  Liu, Zhenyu;  Wang, Shuo;  Dong, Di;  Wei, Jingwei;  Fang, Cheng;  Zhou, Xuezhi;  Sun, Kai;  Li, Longfei;  Li, Bo;  Wang, Meiyun;  Tian, Jie
View  |  Adobe PDF(2057Kb)  |  Favorite  |  View/Download:49/9  |  Submit date:2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
Non model-based bioluminescence tomography using a machine-learning reconstruction strategy 期刊论文
Optica, 2018, 卷号: 5, 期号: 11, 页码: 1451-1454
Authors:  Gao, Yuan;  Wang, Kun;  An, Yu;  Jiang, Shixin;  Meng, Hui;  Tian, Jie
View  |  Adobe PDF(708Kb)  |  Favorite  |  View/Download:48/7  |  Submit date:2019/04/29
Light  Regularization  Registration  Information  Algorithm  Accuracy  
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
Authors:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
View  |  Adobe PDF(1623Kb)  |  Favorite  |  View/Download:59/15  |  Submit date:2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning  
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis 会议论文
, Honolulu, Hawaii, USA, 2018-7
Authors:  Wang, Shuo;  Liu, Zhenyu;  Chen, Xi;  Zhu, Yongbei;  Zhou, Hongyu;  Tang, Zhenchao;  Wei, Wei;  Dong, Di;  Wang, Meiyun;  Tian, Jie
View  |  Adobe PDF(797Kb)  |  Favorite  |  View/Download:47/22  |  Submit date:2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
Diagnosis of Distant Metastasis of Lung Cancer: Based on Clinical and Radiomic Features 期刊论文
TRANSLATIONAL ONCOLOGY, 2018, 卷号: 11, 期号: 1, 页码: 31-36
Authors:  Zhou, Hongyu;  Dong, Di;  Chen, Bojiang;  Fang, Mengjie;  Cheng, Yue;  Gan, Yuncun;  Zhang, Rui;  Zhang, Liwen;  Zang, Yali;  Liu, Zhenyu;  Zheng, Hairong;  Li, Weimin;  Tian, Jie
View  |  Adobe PDF(626Kb)  |  Favorite  |  View/Download:101/16  |  Submit date:2018/01/09
Radiomics  
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:227/138  |  Submit date:2018/01/08
Lung Nodule Segmentation  Convolutional Neural Networks  Deep Learning  Computer-aided Diagnosis