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ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
作者:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  收藏  |  浏览/下载：321/30  |  提交时间：2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)  
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：323/126  |  提交时间：2020/10/25
PD-L1 expression  deep learning  computed tomography  immunotherapy  non-small cell lung cancer.  
Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2020, 卷号: 145, 期号: 1, 页码: 13-20
作者:  Zhang, Wenjuan;  Fang, Mengjie;  Dong, Di;  Wang, Xiaoxiao;  Ke, Xiaoai;  Zhang, Liwen;  Hu, Chaoen;  Guo, Lingyun;  Guan, Xiaoying;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
Adobe PDF(1203Kb)  |  收藏  |  浏览/下载：366/90  |  提交时间：2020/06/22
Gastric cancer  Computed tomography  Radiomics  Deep learning  Prognosis  
Metal-Organic Frameworks as a Theranostic Nanoplatform for Combinatorial Chemophotothermal Therapy Adapted to Different Administration 期刊论文
ACS BIOMATERIALS SCIENCE & ENGINEERING, 2020, 卷号: 6, 期号: 2, 页码: 1008-1016
作者:  Shang, Wenting;  Peng, Li;  Guo, Pengyu;  Hui, Hui;  Yang, Xin;  Tian, Jie
Adobe PDF(1026Kb)  |  收藏  |  浏览/下载：420/99  |  提交时间：2020/04/07
metal-organic frameworks (MOFs)  intravenous injection  local instillation  photothermal therapy  combination therapy  
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：411/61  |  提交时间：2019/07/12
Distant metastasis  Nasopharyngeal carcinoma  Risk assessment  Prognostic tool  Magnetic resonance imaging