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New and effective EGFR-targeted fluorescence imaging technology for intraoperative rapid determination of lung cancer in freshly isolated tissue 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 14
作者:  Li, Changjian;  Mi, Jiahui;  Wang, Yueqi;  Zhang, Zeyu;  Guo, Xiaoyong;  Zhou, Jian;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(4761Kb)  |  收藏  |  浏览/下载：361/85  |  提交时间：2022/11/14
Intraoperative imaging technology  Lung cancer  Fluorescence-labeled antibody probe  Epidermal growth factor receptor  Surgical tumor resection  
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
作者:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  收藏  |  浏览/下载：271/23  |  提交时间：2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)  
Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study 期刊论文
MEDICAL PHYSICS, 2021, 页码: 12
作者:  Wu, Xiangjun;  Dong, Di;  Zhang, Lu;  Fang, Mengjie;  Zhu, Yongbei;  He, Bingxi;  Ye, Zhaoxiang;  Zhang, Minming;  Zhang, Shuixing;  Tian, Jie
Adobe PDF(3862Kb)  |  收藏  |  浏览/下载：670/358  |  提交时间：2021/05/06
deep learning  peritumor  radiomics  
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study 期刊论文
IEEE Journal of Biomedical and Health Informatics, 2020, 卷号: 25, 期号: 3, 页码: 755-762
作者:  Meng, Lingwei;  Dong, Di;  Chen, Xin;  Fang, Mengjie;  Wang, Rongpin;  Li, Jing;  Liu, Zaiyi;  Tian, Jie
Adobe PDF(3010Kb)  |  收藏  |  浏览/下载：275/65  |  提交时间：2020/10/25
Computed tomography (CT)  
Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker 期刊论文
JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2020, 卷号: 8, 期号: 2, 页码: 10
作者:  He, Bingxi;  Dong, Di;  She, Yunlang;  Zhou, Caicun;  Fang, Mengjie;  Zhu, Yongbei;  Zhang, Henghui;  Huang, Zhipei;  Jiang, Tao;  Tian, Jie;  Chen, Chang
浏览  |  Adobe PDF(5232Kb)  |  收藏  |  浏览/下载：334/55  |  提交时间：2020/08/24
immunotherapy  lung neoplasms  tumor microenvironment  biomarkers  tumor  biostatistics  
Radiomics in liver diseases: Current progress and future opportunities 期刊论文
LIVER INTERNATIONAL, 2020, 卷号: 40, 期号: 9, 页码: 2050-2063
作者:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Niu, Meng;  Fu, Fangfang;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  收藏  |  浏览/下载：460/127  |  提交时间：2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
作者:  Wu, Xiangjun;  Hui, Hui;  Niu, Meng;  Li, Liang;  Wang, Li;  He, Bingxi;  Yang, Xin;  Li, Li;  Li, Hongjun;  Tian, Jie;  Zha, Yunfei
浏览  |  Adobe PDF(2315Kb)  |  收藏  |  浏览/下载：338/62  |  提交时间：2020/07/20
Coronavirus disease 2019  Deep learning  Multi-view model  Computed tomography  
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
作者:  Wu, Xiangjun;  Hui, Hui;  Niu, Meng;  Li, Liang;  Wang, Li;  He, Bingxi;  Yang, Xin;  Li, Li;  Li, Hongjun;  Tian, Jie;  Zha, Yunfei
浏览  |  Adobe PDF(2315Kb)  |  收藏  |  浏览/下载：298/47  |  提交时间：2020/07/20
Coronavirus disease 2019  Deep learning  Multi-view model  Computed tomography  
Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 118, 页码: 231-238
作者:  Lu, Wei;  Zhong, Lianzhen;  Dong, Di;  Fang, Mengjie;  Dai, Qi;  Leng, Shaoyi;  Zhang, Liwen;  Sun, Wei;  Tian, Jie;  Zheng, Jianjun;  Jin, Yinhua
Adobe PDF(781Kb)  |  收藏  |  浏览/下载：390/70  |  提交时间：2019/12/16
Forecasting  Thyroid neoplasms  Lymphatic metastasis  
Development and validation of a magnetic resonance imaging-based model for the prediction of distant metastasis before initial treatment of nasopharyngeal carcinoma: A retrospective cohort study 期刊论文
EBIOMEDICINE, 2019, 卷号: 40, 期号: 1, 页码: 327-335
作者:  Zhang, Lu;  Dong, Di;  Li, Hailin;  Tian, Jie;  Ouyang, Fusheng;  Mo, Xiaokai;  Zhang, Bin;  Luo, Xiaoning;  Lian, Zhouyang;  Pei, Shufang;  Dong, Yuhao;  Huang, Wenhui;  Liang, Changhong;  Liu, Jing;  Zhang, Shuixing
浏览  |  Adobe PDF(1622Kb)  |  收藏  |  浏览/下载：373/49  |  提交时间：2019/07/12
Distant metastasis  Nasopharyngeal carcinoma  Risk assessment  Prognostic tool  Magnetic resonance imaging