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CASIA OpenIR
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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：346/68  |  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  
A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy 期刊论文
CLINICAL CANCER RESEARCH, 2018, 卷号: 24, 期号: 15, 页码: 3583-3592
作者:  Song, Jiangdian;  Shi, Jingyun;  Dong, Di;  Fang, Mengjie;  Zhong, Wenzhao;  Wang, Kun;  Wu, Ning;  Huang, Yanqi;  Liu, Zhenyu;  Cheng, Yue;  Gan, Yuncui;  Zhou, Yongzhao;  Zhou, Ping;  Chen, Bojiang;  Liang, Changhong;  Liu, Zaiyi;  Li, Weimin;  Tian, Jie
浏览  |  Adobe PDF(1305Kb)  |  收藏  |  浏览/下载：386/86  |  提交时间：2018/10/10
EGFR-TKI therapy  
Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 7, 页码: 2772-2778
作者:  Zhu, Xinzhong;  Dong, Di;  Chen, Zhendong;  Fang, Mengjie;  Zhang, Liwen;  Song, Jiangdian;  Yu, Dongdong;  Zang, Yali;  Liu, Zhenyu;  Shi, Jingyun;  Tian, Jie
Adobe PDF(896Kb)  |  收藏  |  浏览/下载：281/32  |  提交时间：2018/10/10
Aenocarcinoma  Diagnostic Imaging  Regression Analysis  Roc Curve  Squamous Cell Carcinoma  
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
作者:  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
浏览  |  Adobe PDF(626Kb)  |  收藏  |  浏览/下载：343/60  |  提交时间：2018/01/09
Radiomics  
Quantitative Biomarkers for Prediction of Epidermal Growth Factor Receptor Mutation in Non-Small Cell Lung Cancer 期刊论文
TRANSLATIONAL ONCOLOGY, 2018, 卷号: 11, 期号: 1, 页码: 94-101
作者:  Zhang, Liwen;  Chen, Bojiang;  Liu, Xia;  Song, Jiangdian;  Fang, Mengjie;  Hu, Chaoen;  Dong, Di;  Li, Weimin;  Tian, Jie
浏览  |  Adobe PDF(1030Kb)  |  收藏  |  浏览/下载：430/121  |  提交时间：2018/01/09
Radiomics  
In vivo pentamodal tomographic imaging for small animals 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2017, 卷号: 8, 期号: 3, 页码: 1356-1371
作者:  Liu, Muhan;  Guo, Hongbo;  Liu, Hongbo;  Zhang, Zeyu;  Chi, Chongwei;  Hui, Hui;  Dong, Di;  Hu, Zhenhua;  Tian, Jie
浏览  |  Adobe PDF(8526Kb)  |  收藏  |  浏览/下载：346/90  |  提交时间：2017/05/05
Pentamodal Tomographic Imaging  
Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 61, 期号: 61, 页码: 663-673
作者:  Shen, Wei;  Zhou, Mu;  Yang, Feng;  Yu, Dongdong;  Dong, Di;  Yang, Caiyun;  Zang, Yali;  Tian, Jie;  Feng Yang, Jie Tian
浏览  |  Adobe PDF(1358Kb)  |  收藏  |  浏览/下载：1281/596  |  提交时间：2016/10/21
Lung Nodule  Malignancy Suspiciousness  Convolutional Neural Network  Multi-crop Pooling  
Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis 期刊论文
Scientific Reports, 2016, 卷号: 6, 期号: 38282, 页码: 1-9
作者:  Song, Jiangdian;  Liu, Zaiyi;  Zhong, Wenzhao;  Huang, Yanqi;  Ma, Zelan;  Dong, Di;  Liang, Changhong;  Tian, Jie
Adobe PDF(585Kb)  |  收藏  |  浏览/下载：380/96  |  提交时间：2017/02/14
Radiomics  
Enhanced immunotherapy of SM5-1 in hepatocellular carcinoma by conjugating with gold nanoparticles and its in vivo bioluminescence tomographic evaluation 期刊论文
BIOMATERIALS, 2016, 卷号: 87, 页码: 46-56
作者:  Ma, Xibo;  Hui, Hui;  Jin, Yushen;  Dong, Di;  Liang, Xiaolong;  Yang, Xin;  Tan, Ke;  Dai, Zhifei;  Cheng, Zhen;  Tian, Jie
浏览  |  Adobe PDF(3020Kb)  |  收藏  |  浏览/下载：461/89  |  提交时间：2016/04/06
Antibody Therapy  Gold Nanoparticles  Hepatocellular Carcinoma  Cell Proliferation  Bioluminescence Tomography