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Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer 期刊论文
MEDICAL PHYSICS, 2023, 页码: 11
作者:  Liu, Shengyuan;  Deng, Jingyu;  Dong, Di;  Fang, Mengjie;  Ye, Zhaoxiang;  Hu, Yanfeng;  Li, Hailin;  Zhong, Lianzhen;  Cao, Runnan;  Zhao, Xun;  Shang, Wenting;  Li, Guoxin;  Liang, Han;  Tian, Jie
收藏  |  浏览/下载：82/0  |  提交时间：2023/11/17
deep learning  extranodal soft tissue metastasis  gastric cancer  radiomics  
A multi-view co-training network for semi-supervised medical image-based prognostic prediction 期刊论文
NEURAL NETWORKS, 2023, 卷号: 164, 页码: 455-463
作者:  Li, Hailin;  Wang, Siwen;  Liu, Bo;  Fang, Mengjie;  Cao, Runnan;  He, Bingxi;  Liu, Shengyuan;  Hu, Chaoen;  Dong, Di;  Wang, Ximing;  Wang, Hexiang;  Tian, Jie
收藏  |  浏览/下载：93/0  |  提交时间：2023/11/17
Deep neural network  Medical image analysis  Prognostic prediction  Semi-supervised learning  
Lineage Tracing and Molecular Real-Time Imaging of Cancer Stem Cells 期刊论文
BIOSENSORS-BASEL, 2022, 卷号: 12, 期号: 9, 页码: 13
作者:  Jia, Xiaohua;  Shen, Guodong;  Jia, Jia;  Zhang, Yan;  Zhang, Dan;  Li, Wanjun;  Zhang, Jianjun;  Huang, Xinglu;  Tian, Jie
收藏  |  浏览/下载：178/0  |  提交时间：2022/11/14
lineage tracing  molecular imaging  cancer stem cells  
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images 期刊论文
NEURAL NETWORKS, 2022, 卷号: 152, 页码: 394-406
作者:  Zhang, Liwen;  Zhong, Lianzhen;  Li, Cong;  Zhang, Wenjuan;  Hu, Chaoen;  Dong, Di;  Liu, Zaiyi;  Zhou, Junlin;  Tian, Jie
收藏  |  浏览/下载：258/0  |  提交时间：2022/07/25
Overall survival  Deep learning  Computed tomography (CT)  Neural network  
Development and Validation of a Deep Learning Model to Screen for Trisomy 21 During the First Trimester From Nuchal Ultrasonographic Images 期刊论文
JAMA NETWORK OPEN, 2022, 卷号: 5, 期号: 6, 页码: 11
作者:  Zhang, Liwen;  Dong, Di;  Sun, Yongqing;  Hu, Chaoen;  Sun, Congxin;  Wu, Qingqing;  Tian, Jie
收藏  |  浏览/下载：197/0  |  提交时间：2022/07/25
Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk 期刊论文
TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 页码: 23
作者:  He, Bing-Xi;  Zhong, Yi-Fan;  Zhu, Yong-Bei;  Deng, Jia-Jun;  Fang, Meng-Jie;  She, Yun-Lang;  Wang, Ting-Ting;  Yang, Yang;  Sun, Xi-Wen;  Belluomini, Lorenzo;  Watanabe, Satoshi;  Dong, Di;  Tian, Jie;  Xie, Dong
Adobe PDF(3742Kb)  |  收藏  |  浏览/下载：277/35  |  提交时间：2022/06/10
Tumor biomarkers  immunotherapy  lung neoplasms  programmed cell death 1 receptor (PD-1 receptor)  biostatistics  
Preoperative Prediction of Malignant Transformation of Sinonasal Inverted Papilloma Using MR Radiomics 期刊论文
FRONTIERS IN ONCOLOGY, 2022, 卷号: 12, 页码: 10
作者:  Yan, Yang;  Liu, Yujia;  Tao, Jianhua;  Li, Zheng;  Qu, Xiaoxia;  Guo, Jian;  Xian, Junfang
收藏  |  浏览/下载：193/0  |  提交时间：2022/06/10
inverted papilloma (IP)  squamous cell carcinoma  sinonasal cancer  radiomics  magnetic resonance imaging  
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
作者:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(3679Kb)  |  收藏  |  浏览/下载：327/66  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
In vivo multifunctional fluorescence imaging using liposome-coated lanthanide nanoparticles in near-infrared-II/IIa/IIb windows 期刊论文
NANO TODAY, 2021, 卷号: 38, 页码: 11
作者:  Yang, Junying;  He, Shuqing;  Hu, Zhenhua;  Zhang, Zeyu;  Cao, Caiguang;  Cheng, Zhen;  Fang, Chihua;  Tian, Jie
收藏  |  浏览/下载：193/0  |  提交时间：2021/08/15
NIR-II  IIa  IIb windows  Fluorescence imaging  Brown adipose tissue  Multifunctional nanoprobe  Rare-earth-doped nanoparticle  Excretory capacity  
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：317/55  |  提交时间：2021/06/15
hepatocellular carcinoma  microvascular invasion  magnetic resonance imaging  computed tomography  deep learning