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Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Deep Learning: A Multi-Center and Prospective Validation Study 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 10, 页码: 19
作者:  Wei, Jingwei;  Jiang, Hanyu;  Zeng, Mengsu;  Wang, Meiyun;  Niu, Meng;  Gu, Dongsheng;  Chong, Huanhuan;  Zhang, Yanyan;  Fu, Fangfang;  Zhou, Mu;  Chen, Jie;  Lyv, Fudong;  Wei, Hong;  Bashir, Mustafa R.;  Song, Bin;  Li, Hongjun;  Tian, Jie
Adobe PDF(2568Kb)  |  收藏  |  浏览/下载：394/64  |  提交时间：2021/06/15
hepatocellular carcinoma  microvascular invasion  magnetic resonance imaging  computed tomography  deep learning  
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：314/27  |  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)  
Application of deep learning to predict underestimation in ductal carcinoma in situ of the breast with ultrasound 期刊论文
ANNALS OF TRANSLATIONAL MEDICINE, 2021, 卷号: 9, 期号: 4, 页码: 9
作者:  Qian, Lang;  Lv, Zhikun;  Zhang, Kai;  Wang, Kun;  Zhu, Qian;  Zhou, Shichong;  Chang, Cai;  Tian, Jie
Adobe PDF(743Kb)  |  收藏  |  浏览/下载：357/73  |  提交时间：2021/04/21
Artificial intelligence (AI)  ductal carcinoma in situ (DCIS)  core needle biopsy (CNB)  prediction of upstaging  
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
作者:  He, Bingxi;  Dong, Di;  She, Yunlang;  Zhou, Caicun;  Fang, Mengjie;  Zhu, Yongbei;  Zhang, Henghui;  Huang, Zhipei;  Jiang, Tao;  Tian, Jie;  Chen, Chang
浏览  |  Adobe PDF(5232Kb)  |  收藏  |  浏览/下载：373/61  |  提交时间：2020/08/24
immunotherapy  lung neoplasms  tumor microenvironment  biomarkers  tumor  biostatistics  
K-nearest Neighbor Based Locally Connected Network for Fast Morphological Reconstruction in Fluorescence Molecular Tomography 期刊论文
IEEE Transactions on Medical Imaging, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Meng, Hui;  Gao, Yuan;  Yang, Xin;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(4698Kb)  |  收藏  |  浏览/下载：308/80  |  提交时间：2020/04/29
Fluorescence Tomography  Machine Learning  Brain  
Computed Tomography Radiomic Nomogram for Preoperative Prediction of Extrathyroidal Extension in Papillary Thyroid Carcinoma 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 9
作者:  Chen, Bin;  Zhong, Lianzhen;  Dong, Di;  Zheng, Jianjun;  Fang, Mengjie;  Yu, Chunyao;  Dai, Qi;  Zhang, Liwen;  Tian, Jie;  Lu, Wei;  Jin, Yinhua
Adobe PDF(1219Kb)  |  收藏  |  浏览/下载：356/61  |  提交时间：2019/12/16
thyroid cancer  computed tomography  radiomics  tumor staging  nomograms  
Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer 期刊论文
ANNALS OF ONCOLOGY, 2019, 卷号: 30, 期号: 3, 页码: 431-438
作者:  Dong, Di;  Tang, Lei;  Li, Ziyu;  Fang, Mengjie;  Gao, Jianbo;  Shan, Xiuhong;  Ying, Xiangji;  Sun, Yingshi;  Fu, Jia;  Wang, Xiaoxiao;  Li, Liming;  Li, Zhenhui;  Zhang, Dafu;  Zhang, Yan;  Li, Zhemin;  Shan, Fei;  Bu, Zhaode;  Tian, Jie;  Ji, Jiafu
浏览  |  Adobe PDF(593Kb)  |  收藏  |  浏览/下载：492/83  |  提交时间：2019/07/12
occult peritoneal metastasis  radiomic nomogram  advanced gastric cancer  
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning 期刊论文
EUROPEAN RESPIRATORY JOURNAL, 2019, 卷号: 53, 期号: 3, 页码: 11
作者:  Wang, Shuo;  Shi, Jingyun;  Ye, Zhaoxiang;  Dong, Di;  Yu, Dongdong;  Zhou, Mu;  Liu, Ying;  Gevaert, Olivier;  Wang, Kun;  Zhu, Yongbei;  Zhou, Hongyu;  Liu, Zhenyu;  Tian, Jie
浏览  |  Adobe PDF(743Kb)  |  收藏  |  浏览/下载：559/162  |  提交时间：2019/04/30
Advanced nanomaterials targeting hypoxia to enhance radiotherapy 期刊论文
INTERNATIONAL JOURNAL OF NANOMEDICINE, 2018, 卷号: 13, 页码: 5925-5936
作者:  Jia Li;  Wenting Shang;  Yong Li;  Sirui Fu;  Jie Tian;  Ligong Lu
浏览  |  Adobe PDF(1988Kb)  |  收藏  |  浏览/下载：547/196  |  提交时间：2018/10/10
radiotherapy  hypoxia  nanomaterials  hypoxia  inducible factor 1