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Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载：428/65  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
作者:  Meng, Lingwei;  Dong, Di;  Li, Liang;  Niu, Meng;  Bai, Yan;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
Adobe PDF(4120Kb)  |  收藏  |  浏览/下载：360/65  |  提交时间：2021/03/02
COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence  
Upfront dose-reduced chemotherapy synergizes with immunotherapy to optimize chemoimmunotherapy in squamous cell lung carcinoma 期刊论文
JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2020, 卷号: 8, 期号: 2, 页码: 15
作者:  He, Xiran;  Du, Yang;  Wang, Zhijie;  Wang, Xin;  Duan, Jianchun;  Wan, Rui;  Xu, Jiachen;  Zhang, Pei;  Wang, Di;  Tian, Yanhua;  Han, Jiefei;  Fei, Kailun;  Bai, Hua;  Tian, Jie;  Wang, Jie
收藏  |  浏览/下载：286/0  |  提交时间：2021/01/06
drug therapy  combination  immunotherapy  lung neoplasms  lymphocytes  tumor-infiltrating  translational medical research  
Intratumoral and peritumoral radiomics analysis for preoperative Lauren classification in gastric cancer 期刊论文
CANCER IMAGING, 2020, 卷号: 20, 期号: 1, 页码: 1-10
作者:  Wang, Xiaoxiao;  Ding, Yi;  Wang, Siwen;  Dong, Di;  Li, Hailin;  Chen, Jian;  Hu, Hui;  Lu, Chao;  Tian, Jie;  Shan, Xiuhong
Adobe PDF(2370Kb)  |  收藏  |  浏览/下载：309/42  |  提交时间：2021/01/06
Lauren classification  Radiomics  Peritumoral analysis  Gastric cancer  Computed tomography  
A deep learning-based prognostic nomogram integrating microscopic digital pathology and macroscopic magnetic resonance images in nasopharyngeal carcinoma: a multi-cohort study 期刊论文
Therapeutic Advances in Medical Oncology, 2020, 卷号: 0, 期号: 0, 页码: 0
作者:  Zhang, Fan;  Zhong, Lianzhen;  Zhao, Xun;  Dong, Di;  Yao, Jijin;  Wang, Siyang;  Liu, Ye;  Zhu, Ding;  Wang, Yin;  Wang, Guojie;  Wang, Yiming;  Li, Dan;  Wei, Jiang;  Tian, Jie;  Shan, Hong
浏览  |  Adobe PDF(193Kb)  |  收藏  |  浏览/下载：309/66  |  提交时间：2020/10/25
nasopharyngeal carcinoma  
First-trimester screening for trisomy 21 via an individualized nomogram 期刊论文
Ultrasound in Obstetrics and Gynecology, 2020, 卷号: 0, 期号: 0, 页码: 0
作者:  Sun, Yongqing;  Zhang, Liwen;  Dong, Di;  Li, Xiaofei;  Wang, Jingjing;  Yin, Chenghong;  C. Poon, Liona;  Tian, Jie;  Wu, Qingqing
浏览  |  Adobe PDF(6354Kb)  |  收藏  |  浏览/下载：198/54  |  提交时间：2020/10/25
trisomy 21  
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：312/74  |  提交时间：2020/10/25
Computed tomography (CT)  
A Deep Learning Risk Prediction Model for Overall Survival in Patients with Gastric Cancer: A Multicenter Study 期刊论文
Radiotherapy and oncology, 2020, 卷号: 150, 期号: 1, 页码: 73-80
作者:  Zhang, Liwen;  Dong, Di;  Zhang, Wenjuan;  Hao, Xiaohan;  Fang, Mengjie;  Wang, Shuo;  Li, Wuchao;  Liu, Zaiyi;  Wang, Rongpin;  Zhou, Junlin;  Tian, Jie
浏览  |  Adobe PDF(1185Kb)  |  收藏  |  浏览/下载：290/66  |  提交时间：2020/10/25
Gastric Cancer  
Preoperative computed tomography-guided disease-free survival prediction in gastric cancer: a multicenter radiomics study 期刊论文
MEDICAL PHYSICS, 2020, 卷号: 47, 期号: 10, 页码: 4862-4871
作者:  Wang, Siwen;  Feng, Caizhen;  Dong, Di;  Li, Hailin;  Zhou, Jing;  Ye, Yingjiang;  Liu, Zaiyi;  Tian, Jie;  Wang, Yi
Adobe PDF(2043Kb)  |  收藏  |  浏览/下载：369/52  |  提交时间：2020/09/07
disease-free survival  gastric cancer  multidetector-row computed tomography  risk stratification  radiomics  
MRI-Based Deep-Learning Model for Distant Metastasis-Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 页码: 12
作者:  Zhang, Lu;  Wu, Xiangjun;  Liu, Jing;  Zhang, Bin;  Mo, Xiaokai;  Chen, Qiuying;  Fang, Jin;  Wang, Fei;  Li, Minmin;  Chen, Zhuozhi;  Liu, Shuyi;  Chen, Luyan;  You, Jingjing;  Jin, Zhe;  Tang, Binghang;  Dong, Di;  Zhang, Shuixing
收藏  |  浏览/下载：231/0  |  提交时间：2020/09/07
nasopharyngeal carcinoma  deep learning  distant metastasis-free survival  induction chemotherapy  chemoradiotherapy