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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：409/67  |  提交时间：2021/06/15
hepatocellular carcinoma  microvascular invasion  magnetic resonance imaging  computed tomography  deep learning  
Adaptive Grouping Block Sparse Bayesian Learning Method for Accurate and Robust Reconstruction in Bioluminescence Tomography 期刊论文
IEEE Transactions on Biomedical Engineering, 2021, 卷号: 68, 期号: 99, 页码: 1
作者:  Yin, Lin;  Wang, Kun;  Tong, Tong;  Wang, Qian;  An, Yu;  Yang, Xin;  Tian, Jie
Adobe PDF(11700Kb)  |  收藏  |  浏览/下载：307/58  |  提交时间：2021/05/31
adaptive grouping  bioluminescence tomography  block sparse Bayesian learning  
Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study 期刊论文
MEDICAL PHYSICS, 2021, 页码: 12
作者:  Wu, Xiangjun;  Dong, Di;  Zhang, Lu;  Fang, Mengjie;  Zhu, Yongbei;  He, Bingxi;  Ye, Zhaoxiang;  Zhang, Minming;  Zhang, Shuixing;  Tian, Jie
Adobe PDF(3862Kb)  |  收藏  |  浏览/下载：743/373  |  提交时间：2021/05/06
deep learning  peritumor  radiomics  
Domain Transform Network for Photoacoustic Tomography from Limited-view and Sparsely Sampled Data 期刊论文
Photoacoustics, 2020, 卷号: 19, 期号: 19, 页码: 100190
作者:  Tong Tong;  Wenhui Huang;  Kun Wang;  Zicong He;  Lin Yin;  Xin Yang;  Shuixing Zhang;  Jie Tian
Adobe PDF(9199Kb)  |  收藏  |  浏览/下载：241/69  |  提交时间：2020/11/02
Deep learning  Photoacoustic tomography  Domain transformation  Medical image reconstruction  
Radiomics Based on MRI as a Biomarker to Guide Therapy by Predicting Upgrading of Prostate Cancer From Biopsy to Radical Prostatectomy 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 页码: 10
作者:  Zhang, Gu-mu-yang;  Han, Yu-qi;  Wei, Jing-wei;  Qi, Ya-fei;  Gu, Dong-sheng;  Lei, Jing;  Yan, Wei-gang;  Xiao, Yu;  Xue, Hua-dan;  Feng, Feng;  Sun, Hao;  Jin, Zheng-yu;  Tian, Jie
收藏  |  浏览/下载：303/0  |  提交时间：2020/09/28
radiomics  magnetic resonance imaging  prostate cancer  Gleason score  
Precise visual distinction of brain glioma from normal tissues via targeted photoacoustic and fluorescence navigation 期刊论文
NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE, 2020, 卷号: 27, 页码: 9
作者:  Jia, Xiaohua;  Fan, Kelong;  Zhang, Ruofei;  Zhang, Dan;  Zhang, Jianjun;  Gao, Yuan;  Zhang, Tao;  Li, Wanjun;  Li, Junlai;  Yan, Xiyun;  Tian, Jie
Adobe PDF(1779Kb)  |  收藏  |  浏览/下载：250/8  |  提交时间：2020/08/21
Glioma  Molecular imaging  Transferrin receptor 1  Nanoparticles  
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：512/140  |  提交时间：2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
MRI-Based Radiomics Signature: A Potential Biomarker for Identifying Glypican 3-Positive Hepatocellular Carcinoma 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 卷号: 52, 期号: 6, 页码: 1679-1687
作者:  Gu, Dongsheng;  Xie, Yongsheng;  Wei, Jingwei;  Li, Wencui;  Ye, Zhaoxiang;  Zhu, Zhongyuan;  Tian, Jie;  Li, Xubin
Adobe PDF(904Kb)  |  收藏  |  浏览/下载：270/49  |  提交时间：2020/07/20
glypican 3  hepatocellular carcinoma  radiomics  noninvasive  nomogram  
Radiomic signature: A novel magnetic resonance imaging-based prognostic biomarker in patients with skull base chordoma 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 141, 页码: 239-246
作者:  Wei, Wei;  Wang, Ke;  Liu, Zhenyu;  Tian, Kaibing;  Wang, Liang;  Du, Jiang;  Ma, Junpeng;  Wang, Shuo;  Li, Longfei;  Zhao, Rui;  Cui, Luo;  Wu, Zhen;  Tian, Jie
收藏  |  浏览/下载：413/0  |  提交时间：2020/03/30
Biomarkers  Magnetic resonance imaging  Prognosis  Progression-free survival  Radiomics  Skull base chordoma  
Application of machine learning method in optical molecular imaging: a review 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 1, 页码: 16
作者:  An, Yu;  Meng, Hui;  Gao, Yuan;  Tong, Tong;  Zhang, Chong;  Wang, Kun;  Tian, Jie
Adobe PDF(5942Kb)  |  收藏  |  浏览/下载：390/66  |  提交时间：2020/03/30
optical molecular imaging  machine learning  artificial intelligence