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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：302/120  |  提交时间：2020/10/25
PD-L1 expression  deep learning  computed tomography  immunotherapy  non-small cell lung cancer.  
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：358/59  |  提交时间：2020/06/22
cervical cancer  MRI  radiomics  treatment response prediction  concurrent chemotherapy and radiation therapy  precision medicine  
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：332/51  |  提交时间：2020/06/02
prostate cancer  radiomics  Gleason score  biparametric MRI  
Radiomics in multiple sclerosis and neuromyelitis optica spectrum disorder 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 9, 页码: 4670-4677
作者:  Liu, Yaou;  Dong, Di;  Zhang, Liwen;  Zang, Yali;  Duan, Yunyun;  Qiu, Xiaolu;  Huang, Jing;  Dong, Huiqing;  Barkhof, Frederik;  Hu, Chaoen;  Fang, Mengjie;  Tian, Jie;  Li, Kuncheng
Adobe PDF(1098Kb)  |  收藏  |  浏览/下载：457/122  |  提交时间：2019/12/16
Multiple sclerosis  Neuromyelitis optica spectrum disorder  Radiomics  Nomogram  Magnetic resonance imaging  
Development and validation of a magnetic resonance imaging-based model for the prediction of distant metastasis before initial treatment of nasopharyngeal carcinoma: A retrospective cohort study 期刊论文
EBIOMEDICINE, 2019, 卷号: 40, 期号: 1, 页码: 327-335
作者:  Zhang, Lu;  Dong, Di;  Li, Hailin;  Tian, Jie;  Ouyang, Fusheng;  Mo, Xiaokai;  Zhang, Bin;  Luo, Xiaoning;  Lian, Zhouyang;  Pei, Shufang;  Dong, Yuhao;  Huang, Wenhui;  Liang, Changhong;  Liu, Jing;  Zhang, Shuixing
浏览  |  Adobe PDF(1622Kb)  |  收藏  |  浏览/下载：390/54  |  提交时间：2019/07/12
Distant metastasis  Nasopharyngeal carcinoma  Risk assessment  Prognostic tool  Magnetic resonance imaging