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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
Authors:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  Favorite  |  View/Download:14/0  |  Submit date:2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)  
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
Authors:  Wu, Xiangjun;  Hui, Hui;  Niu, Meng;  Li, Liang;  Wang, Li;  He, Bingxi;  Yang, Xin;  Li, Li;  Li, Hongjun;  Tian, Jie;  Zha, Yunfei
View  |  Adobe PDF(2315Kb)  |  Favorite  |  View/Download:29/1  |  Submit date:2020/07/20
Coronavirus disease 2019  Deep learning  Multi-view model  Computed tomography  
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
Authors:  Wu, Xiangjun;  Hui, Hui;  Niu, Meng;  Li, Liang;  Wang, Li;  He, Bingxi;  Yang, Xin;  Li, Li;  Li, Hongjun;  Tian, Jie;  Zha, Yunfei
View  |  Adobe PDF(2315Kb)  |  Favorite  |  View/Download:44/5  |  Submit date:2020/07/20
Coronavirus disease 2019  Deep learning  Multi-view model  Computed tomography  
Radiomics in liver diseases: Current progress and future opportunities 期刊论文
LIVER INTERNATIONAL, 2020, 卷号: 40, 期号: 9, 页码: 2050-2063
Authors:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Niu, Meng;  Fu, Fangfang;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  Favorite  |  View/Download:51/0  |  Submit date:2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
CT-Based Radiomic Signature as a Prognostic Factor in Stage IV ALK-Positive Non-small-cell Lung Cancer Treated With TKI Crizotinib: A Proof-of-Concept Study 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 9
Authors:  Li, Hailin;  Zhang, Rui;  Wang, Siwen;  Fang, Mengjie;  Zhu, Yongbei;  Hu, Zhenhua;  Dong, Di;  Shi, Jingyun;  Tian, Jie
Favorite  |  View/Download:70/0  |  Submit date:2020/04/07
computed tomography  radiomics  non-small-cell lung cancer  tyrosine kinase inhibitor resistance  anaplastic lymphoma kinase  
Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker 期刊论文
JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2020, 卷号: 8, 期号: 2, 页码: 10
Authors:  He, Bingxi;  Dong, Di;  She, Yunlang;  Zhou, Caicun;  Fang, Mengjie;  Zhu, Yongbei;  Zhang, Henghui;  Huang, Zhipei;  Jiang, Tao;  Tian, Jie;  Chen, Chang
View  |  Adobe PDF(5232Kb)  |  Favorite  |  View/Download:36/6  |  Submit date:2020/08/24
immunotherapy  lung neoplasms  tumor microenvironment  biomarkers  tumor  biostatistics  
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
Authors:  Meng, Lingwei;  Dong, Di;  Chen, Xin;  Fang, Mengjie;  Wang, Rongpin;  Li, Jing;  Liu, Zaiyi;  Tian, Jie
Adobe PDF(3010Kb)  |  Favorite  |  View/Download:26/4  |  Submit date:2020/10/25
Computed tomography (CT)  
Improved generative adversarial networks using the total gradient loss for the resolution enhancement of fluorescence images 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2019, 卷号: 10, 期号: 9, 页码: 4742-4756
Authors:  Zhang, Chong;  Wang, Kun;  An, Yu;  He, Kunshan;  Tong, Tong;  Tian, Jie
View  |  Adobe PDF(4570Kb)  |  Favorite  |  View/Download:94/13  |  Submit date:2019/09/26
Reconstruction of Fluorescence Molecular Tomography via a Fused LASSO Method Based on Group Sparsity Prior 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2019, 卷号: 66, 期号: 5, 页码: 1361-1371
Authors:  Jiang, Shixin;  Liu, Jie;  Zhang, Guanglei;  An, Yu;  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
View  |  Adobe PDF(5641Kb)  |  Favorite  |  View/Download:126/23  |  Submit date:2019/07/11
Fluorescence molecular tomography  image reconstruction  fused LASSO method  group sparsity  
Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 3, 页码: 1625-1634
Authors:  Niu, Jianxing;  Zhang, Shuaitong;  Ma, Shunchang;  Diao, Jinfu;  Zhou, Wenjianlong;  Tian, Jie;  Zang, Yali;  Jia, Wang
View  |  Adobe PDF(1261Kb)  |  Favorite  |  View/Download:91/5  |  Submit date:2019/07/12
Pituitary adenomas  Cavernous sinus  Neoplasm invasion  Nomogram  Support vector machine