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Deep learning-based automatic scoring models for the disease activity of rheumatoid arthritis based on multimodal ultrasound images 期刊论文
RHEUMATOLOGY, 2023, 页码: 8
作者:  He, Xuelei;  Wang, Ming;  Zhao, Chenyang;  Wang, Qian;  Zhang, Rui;  Liu, Jian;  Zhang, Yixiu;  Qi, Zhenhong;  Su, Na;  Wei, Yao;  Gui, Yang;  Li, Jianchu;  Tian, Xinping;  Zeng, Xiaofeng;  Jiang, Yuxin;  Wang, Kun;  Yang, Meng
收藏  |  浏览/下载：79/0  |  提交时间：2023/11/17
deep learning  RA  activity  scoring  multimodal ultrasonography  
Development and validation of the diagnostic accuracy of artificial intelligence-assisted ultrasound in the classification of splenic trauma 期刊论文
ANNALS OF TRANSLATIONAL MEDICINE, 2022, 卷号: 10, 期号: 19, 页码: 12
作者:  Jiang, Xue;  Luo, Yukun;  He, Xuelei;  Wang, Kun;  Song, Wenjing;  Ye, Qinggui;  Feng, Lei;  Wang, Wei;  Hu, Xiaojuan;  Li, Hua
收藏  |  浏览/下载：137/0  |  提交时间：2022/11/21
Trauma  splenic injury  deep learning  ultrasound  
Predicting microvascular invasion in hepatocellular carcinoma: A dual-institution study on gadoxetate disodium-enhanced MRI 期刊论文
LIVER INTERNATIONAL, 2022, 页码: 15
作者:  Jiang, Hanyu;  Wei, Jingwei;  Fu, Fangfang;  Wei, Hong;  Qin, Yun;  Duan, Ting;  Chen, Weixia;  Xie, Kunlin;  Lee, Jeong Min;  Bashir, Mustafa R.;  Wang, Meiyun;  Song, Bin;  Tian, Jie
收藏  |  浏览/下载：170/0  |  提交时间：2022/06/06
diagnosis  gadoxetate disodium-enhanced MRI  hepatocellular carcinoma  microvascular invasion  survival  
Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer 期刊论文
MEDICAL PHYSICS, 2022, 页码: 12
作者:  Li, Cong;  Qin, Yun;  Zhang, Wei-Han;  Jiang, Hanyu;  Song, Bin;  Bashir, Mustafa R.;  Xu, Heng;  Duan, Ting;  Fang, Mengjie;  Zhong, Lianzhen;  Meng, Lingwei;  Dong, Di;  Hu, Zhenhua;  Tian, Jie;  Hu, Jian-Kun
Adobe PDF(1878Kb)  |  收藏  |  浏览/下载：340/78  |  提交时间：2022/03/17
chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
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：333/67  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
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：322/55  |  提交时间：2021/06/15
hepatocellular carcinoma  microvascular invasion  magnetic resonance imaging  computed tomography  deep learning  
Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images 期刊论文
JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2021, 卷号: 9, 期号: 6, 页码: 15
作者:  Mu, Wei;  Jiang, Lei;  Shi, Yu;  Tunali, Ilke;  Gray, Jhanelle E.;  Katsoulakis, Evangelia;  Tian, Jie;  Gillies, Robert J.;  Schabath, Matthew B.
收藏  |  浏览/下载：134/0  |  提交时间：2021/08/15
tumor biomarkers  immunotherapy  
DEEP LEARNING RADIOMICS FOR PREOPERATIVE PREDICTION OF MICROVASCULAR INVASION IN HEPATOCELLULAR CARCINOMA: A MULTICENTER AND PROSPECTIVE VALIDATION STUDY 期刊论文
HEPATOLOGY, 2020, 卷号: 72, 页码: 677A-678A
作者:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Zeng, Mengsu;  Wang, Meiyun;  Song, Bin;  Tian, Jie
收藏  |  浏览/下载：175/0  |  提交时间：2021/01/07
Non-invasive decision support for NSCLC treatment using PET/CT radiomics 期刊论文
NATURE COMMUNICATIONS, 2020, 卷号: 11, 期号: 1, 页码: 11
作者:  Mu, Wei;  Jiang, Lei;  Zhang, JianYuan;  Shi, Yu;  Gray, Jhanelle E.;  Tunali, Ilke;  Gao, Chao;  Sun, Yingying;  Tian, Jie;  Zhao, Xinming;  Sun, Xilin;  Gillies, Robert J.;  Schabath, Matthew B.
收藏  |  浏览/下载：188/0  |  提交时间：2021/01/07
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
作者:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Niu, Meng;  Fu, Fangfang;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  收藏  |  浏览/下载：419/123  |  提交时间：2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology