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Deep learning signatures reveal multiscale intratumor heterogeneity associated with biological functions and survival in recurrent nasopharyngeal carcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 11
作者:  Zhao, Xun;  Liang, Yu-Jing;  Zhang, Xu;  Wen, Dong-Xiang;  Fan, Wei;  Tang, Lin-Quan;  Dong, Di;  Tian, Jie;  Mai, Hai-Qiang
Adobe PDF(1720Kb)  |  收藏  |  浏览/下载：276/41  |  提交时间：2022/06/10
Recurrent nasopharyngeal carcinoma  Survival analysis  Radiomics  Deep learning  
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：277/35  |  提交时间：2022/06/10
Tumor biomarkers  immunotherapy  lung neoplasms  programmed cell death 1 receptor (PD-1 receptor)  biostatistics  
Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer 期刊论文
MEDICAL PHYSICS, 2022, 页码: 12
作者:  Li, Cong;  Qin, Yun;  Zhang, Wei-Han;  Jiang, Hanyu;  Song, Bin;  Bashir, Mustafa R.;  Xu, Heng;  Duan, Ting;  Fang, Mengjie;  Zhong, Lianzhen;  Meng, Lingwei;  Dong, Di;  Hu, Zhenhua;  Tian, Jie;  Hu, Jian-Kun
Adobe PDF(1878Kb)  |  收藏  |  浏览/下载：334/77  |  提交时间：2022/03/17
chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
作者:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(3679Kb)  |  收藏  |  浏览/下载：327/66  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
Computed tomography-based radiomic model at node level for the prediction of normal-sized lymph node metastasis in cervical cancer 期刊论文
TRANSLATIONAL ONCOLOGY, 2021, 卷号: 14, 期号: 8, 页码: 7
作者:  Liu, Yujia;  Fan, Huijian;  Dong, Di;  Liu, Ping;  He, Bingxi;  Meng, Lingwei;  Chen, Jiaming;  Chen, Chunlin;  Lang, Jinghe;  Tian, Jie
收藏  |  浏览/下载：222/0  |  提交时间：2021/11/03
Cervical cancer  Lymph node metastasis  Radiomics  Preoperative prediction  Classifiers  
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：626/355  |  提交时间：2021/05/06
deep learning  peritumor  radiomics  
Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer 期刊论文
BMC Medical Imaging, 2021, 卷号: 21, 期号: 1, 页码: 10
作者:  Wang,Xiaoxiao;  Li,Cong;  Fang,Mengjie;  Zhang,Liwen;  Zhong,Lianzhen;  Dong,Di;  Tian,Jie;  Shan,Xiuhong
Adobe PDF(2269Kb)  |  收藏  |  浏览/下载：349/56  |  提交时间：2021/04/06
Stomach cancer  Lymph nodes  Nomogram  
Deep Learning-Based Prediction of Future Extrahepatic Metastasis and Macrovascular Invasion in Hepatocellular Carcinoma 期刊论文
JOURNAL OF HEPATOCELLULAR CARCINOMA, 2021, 卷号: 8, 页码: 1065-1076
作者:  Fu, Sirui;  Pan, Meiqing;  Zhang, Jie;  Zhang, Hui;  Tang, Zhenchao;  Li, Yong;  Mu, Wei;  Huang, Jianwen;  Dong, Di;  Duan, Chongyang;  Li, Xiaoqun;  Wang, Shuo;  Chen, Xudong;  He, Xiaofeng;  Yan, Jianfeng;  Lu, Ligong;  Tian, Jie
收藏  |  浏览/下载：211/0  |  提交时间：2021/11/03
aggressive disease progression  deep learning radiomics  clinical factors  high-risk  risk prediction  
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：282/50  |  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：263/43  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)