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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：268/53  |  提交时间：2020/10/25
nasopharyngeal carcinoma  
Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images 期刊论文
Theranostics, 2020, 卷号: 0, 期号: 0, 页码: 0
作者:  Tian, Panwen;  He, Bingxi;  Dong, Di;  Mu, Wei;  Liu, Kunqin;  Liu, Li;  Zeng, Hao;  Liu, Yujie;  Jiang, Lili;  Zhou, Ping;  Huang, Zhipei;  Li, Weimin;  Tian, Jie
浏览  |  Adobe PDF(1539Kb)  |  收藏  |  浏览/下载：286/114  |  提交时间：2020/10/25
PD-L1 expression  deep learning  computed tomography  immunotherapy  non-small cell lung 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：327/43  |  提交时间：2020/09/07
disease-free survival  gastric cancer  multidetector-row computed tomography  risk stratification  radiomics  
CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 7, 页码: 8
作者:  Fang, Mengjie;  He, Bingxi;  Li, Li;  Dong, Di;  Yang, Xin;  Li, Cong;  Meng, Lingwei;  Zhong, Lianzhen;  Li, Hailin;  Li, Hongjun;  Tian, Jie
Adobe PDF(250Kb)  |  收藏  |  浏览/下载：402/56  |  提交时间：2020/06/02
coronavirus disease 2019  radiomics  pneumonia  diagnosis  
Application of machine learning method in optical molecular imaging: a review 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 1, 页码: 16
作者:  An, Yu;  Meng, Hui;  Gao, Yuan;  Tong, Tong;  Zhang, Chong;  Wang, Kun;  Tian, Jie
Adobe PDF(5942Kb)  |  收藏  |  浏览/下载：351/58  |  提交时间：2020/03/30
optical molecular imaging  machine learning  artificial intelligence