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Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk 期刊论文
TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 页码: 23
作者:  He, Bing-Xi;  Zhong, Yi-Fan;  Zhu, Yong-Bei;  Deng, Jia-Jun;  Fang, Meng-Jie;  She, Yun-Lang;  Wang, Ting-Ting;  Yang, Yang;  Sun, Xi-Wen;  Belluomini, Lorenzo;  Watanabe, Satoshi;  Dong, Di;  Tian, Jie;  Xie, Dong
Adobe PDF(3742Kb)  |  收藏  |  浏览/下载：329/39  |  提交时间：2022/06/10
Tumor biomarkers  immunotherapy  lung neoplasms  programmed cell death 1 receptor (PD-1 receptor)  biostatistics  
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 7, 页码: 2353-2362
作者:  Wang, Siwen;  Dong, Di;  Li, Liang;  Li, Hailin;  Bai, Yan;  Hu, Yahua;  Huang, Yuanyi;  Yu, Xiangrong;  Liu, Sibin;  Qiu, Xiaoming;  Lu, Ligong;  Wang, Meiyun;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3142Kb)  |  收藏  |  浏览/下载：264/55  |  提交时间：2021/11/02
COVID-19  deep learning  radiomics  prognosis  computed tomography  
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：325/54  |  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  
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：342/55  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
Development and External Validation of Radiomics Approach for Nuclear Grading in Clear Cell Renal Cell Carcinoma 期刊论文
ANNALS OF SURGICAL ONCOLOGY, 2020, 卷号: 27, 期号: 10, 页码: 4057–4065
作者:  Zhou, Hongyu;  Mao, Haixia;  Dong, Di;  Fang, Mengjie;  Gu, Dongsheng;  Liu, Xueling;  Xu, Min;  Yang, Shudong;  Zou, Jian;  Yin, Ruohan;  Zheng, Hairong;  Tian, Jie;  Pan, Changjie;  Fang, Xiangming;  Zhou, Hongyu;  Mao, Haixia;  Dong, Di;  Fang, Mengjie;  Gu, Dongsheng;  Liu, Xueling;  Xu, Min;  Yang, Shudong;  Zou, Jian;  Yin, Ruohan;  Zheng, Hairong;  Tian, Jie;  Pan, Changjie;  Fang, Xiangming
浏览  |  Adobe PDF(1325Kb)  |  收藏  |  浏览/下载：320/69  |  提交时间：2020/06/22
Clear Cell Renal Cell Carcinoma  
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：270/53  |  提交时间：2020/10/25
nasopharyngeal carcinoma  
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：278/65  |  提交时间：2020/10/25
Computed tomography (CT)  
A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0 期刊论文
Radiotherapy and Oncology, 2020, 卷号: 151, 期号: 1, 页码: 1-9
作者:  Zhong, Lianzhen;  Fang, Xueliang;  Dong, Di;  Peng, Hao;  Fang, Mengjie;  Huang, Chenglong;  He, Bingxi;  Lin, Li;  Ma, Jun;  Tang, Linglong;  Tian, Jie
浏览  |  Adobe PDF(8171Kb)  |  收藏  |  浏览/下载：188/75  |  提交时间：2020/10/25
nasopharyngeal carcinoma  
Development and validation of a novel MR imaging predictor of response to induction chemotherapy in locoregionally advanced nasopharyngeal cancer: a randomized controlled trial substudy (NCT01245959) 期刊论文
BMC Medicine, 2019, 卷号: 17, 期号: 1, 页码: 190
作者:  Dong,Di;  Zhang,Fan;  Zhong,Lian-Zhen;  Fang,Meng-Jie;  Huang,Cheng-Long;  Yao,Ji-Jin;  Sun,Ying;  Tian,Jie;  Ma,Jun;  Tang,Ling-Long
浏览  |  Adobe PDF(3418Kb)  |  收藏  |  浏览/下载：353/49  |  提交时间：2019/12/16
Individualized imaging biomarker  Induction chemotherapy  Survival benefit  Treatment decision  Locoregionally advanced nasopharyngeal cancer  
Development and Validation of a MRI-Based Radiomics Prognostic Classifier in Patients with Primary Glioblastoma Multiforme 期刊论文
ACADEMIC RADIOLOGY, 2019, 卷号: 26, 期号: 10, 页码: 1292-1300
作者:  Chen, Xin;  Fang, Mengjie;  Dong, Di;  Liu, Lingling;  Xu, Xiangdong;  Wei, Xinhua;  Jiang, Xinqing;  Qin, Lei;  Liu, Zaiyi
Adobe PDF(1190Kb)  |  收藏  |  浏览/下载：506/34  |  提交时间：2019/12/16
Glioblastoma multiform  Survival analyses  Magnetic resonance imaging  Radiomics