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Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 10, 页码: 3933-3942
作者:  Zhang, Liwen;  Dong, Di;  Zhong, Lianzhen;  Li, Cong;  Hu, Chaoen;  Yang, Xin;  Liu, Zaiyi;  Wang, Rongpin;  Zhou, Junlin;  Tian, Jie
收藏  |  浏览/下载：254/0  |  提交时间：2021/12/28
Hazards  Feature extraction  Computed tomography  Cancer  Radiomics  Indexes  Bioinformatics  Overall survival  gastric cancer  multi-level  CT image  deep learning  
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  
Noninvasive model for predicting future ischemic strokes in patients with silent lacunar infarction using radiomics 期刊论文
BMC Medical Imaging, 2020, 卷号: 20, 期号: 1, 页码: 11
作者:  Su,Jie-hua;  Meng,Ling-wei;  Dong,Di;  Zhuo,Wen-yan;  Wang,Jian-ming;  Liu,Li-bin;  Qin,Yi;  Tian,Ye;  Tian,Jie;  Li,Zhao-hui
收藏  |  浏览/下载：262/0  |  提交时间：2020/07/20
Stroke  Infarction  Radiomics  Tomography  X-ray computed  
Multi-Habitat Based Radiomics for the Prediction of Treatment Response to Concurrent Chemotherapy and Radiation Therapy in Locally Advanced Cervical Cancer 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 8
作者:  Fang, Mengjie;  Kan, Yangyang;  Dong, Di;  Yu, Tao;  Zhao, Nannan;  Jiang, Wenyan;  Zhong, Lianzhen;  Hu, Chaoen;  Luo, Yahong;  Tian, Jie
Adobe PDF(730Kb)  |  收藏  |  浏览/下载：333/53  |  提交时间：2020/06/22
cervical cancer  MRI  radiomics  treatment response prediction  concurrent chemotherapy and radiation therapy  precision medicine  
Noninvasive CT radiomic model for preoperative prediction of lymph node metastasis in early cervical carcinoma 期刊论文
BRITISH JOURNAL OF RADIOLOGY, 2020, 卷号: 93, 期号: 1108, 页码: 8
作者:  Chen, Jiaming;  He, Bingxi;  Dong, Di;  Liu, Ping;  Duan, Hui;  Li, Weili;  Li, Pengfei;  Wang, Lu;  Fan, Huijian;  Wang, Siwen;  Zhang, Liwen;  Tian, Jie;  Huang, Zhipei;  Chen, Chunlin
收藏  |  浏览/下载：241/0  |  提交时间：2020/06/02
Noninvasive Prediction of High-Grade Prostate Cancer via Biparametric MRI Radiomics 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 页码: 8
作者:  Gong, Lixin;  Xu, Min;  Fang, Mengjie;  Zou, Jian;  Yang, Shudong;  Yu, Xinyi;  Xu, Dandan;  Zhou, Lijuan;  Li, Hailin;  He, Bingxi;  Wang, Yan;  Fang, Xiangming;  Dong, Di;  Tian, Jie
Adobe PDF(733Kb)  |  收藏  |  浏览/下载：311/46  |  提交时间：2020/06/02
prostate cancer  radiomics  Gleason score  biparametric MRI  
Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in children 期刊论文
BMC MEDICAL IMAGING, 2019, 卷号: 19, 期号: 1, 页码: 11
作者:  Wang, Bei;  Li, Min;  Ma, He;  Han, Fangfang;  Wang, Yan;  Zhao, Shunying;  Liu, Zhimin;  Yu, Tong;  Tian, Jie;  Dong, Di;  Peng, Yun
收藏  |  浏览/下载：262/0  |  提交时间：2019/12/16
Child  Tuberculosis  Pulmonary  Pneumonia  Radiomics  Nomogram  
Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 7, 页码: 3820-3829
作者:  Han, Lu;  Zhu, Yongbei;  Liu, Zhenyu;  Yu, Tao;  He, Cuiju;  Jiang, Wenyan;  Kan, Yangyang;  Dong, Di;  Tian, Jie;  Luo, Yahong
收藏  |  浏览/下载：301/0  |  提交时间：2019/07/11
Breast cancer  Axillary lymph node metastasis  Radiomics  Preoperative prediction  MRI