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A novel matrix used in regularization term for model-based photoacoustic reconstructions 会议论文
, San Francisco, CA, United states, January 28, 2018 - February 1, 2018
作者:  Tong, Tong;  Wang, Kun;  Tian, Jie
Adobe PDF(757Kb)  |  收藏  |  浏览/下载：144/52  |  提交时间：2022/06/14
Photoacoustic tomography  Image reconstruction  Regularization  Central-Enhancement Laplace matrix  
Ferritin nanocages for early theranostics of tumors via inflammation-enhanced active targeting 期刊论文
SCIENCE CHINA-LIFE SCIENCES, 2021, 页码: 13
作者:  Jiang, Bing;  Jia, Xiaohua;  Ji, Tianjiao;  Zhou, Meng;  He, Jiuyang;  Wang, Kun;  Tian, Jie;  Yan, Xiyun;  Fan, Kelong
Adobe PDF(2143Kb)  |  收藏  |  浏览/下载：284/3  |  提交时间：2021/11/03
ferritin nanocage  early theranostics  tumor-associated inflammation  multimodality tumor imaging  drug delivery  
A review of the application of machine learning in molecular imaging 期刊论文
Annals of Translational Medicine, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Yin, Lin;  Cao, Zhen;  Wang, Kun;  Tian, Jie;  Yang, Xing;  Zhang, Jianhua
Adobe PDF(4435Kb)  |  收藏  |  浏览/下载：211/44  |  提交时间：2021/06/16
molecular imaging, machine learning, artificial intelligence  
Gaussian weighted block sparse Bayesian learning strategy based on K-means clustering algorithm for accurate bioluminescence tomography in glioma 会议论文
, 线上, 2021.2.15-2021.2.19
作者:  Yin, Lin;  Wang, Kun;  Tian, Jie
Adobe PDF(6162Kb)  |  收藏  |  浏览/下载：181/15  |  提交时间：2021/05/31
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：296/53  |  提交时间：2021/05/31
adaptive grouping  bioluminescence tomography  block sparse Bayesian learning  
Improved Block Sparse Bayesian Learning Method Using K-Nearest Neighbor Strategy for Accurate Tumor Morphology Reconstruction in Bioluminescence Tomography 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 7, 页码: 2023-2032
作者:  Yin, Lin;  Wang, Kun;  Tong, Tong;  An, Yu;  Meng, Hui;  Yang, Xin;  Tian, Jie
浏览  |  Adobe PDF(646Kb)  |  收藏  |  浏览/下载：359/65  |  提交时间：2020/08/03
Image reconstruction  Bayes methods  Tumors  Inverse problems  Light sources  Tomography  Morphology  Bioluminescence tomography (BLT)  block sparse Bayesian learning  morphology recovery  
Morphological Reconstruction of Fluorescence Molecular Tomography Based on Nonlocal Total Variation Regularization for Tracer Distribution in Glioma 会议论文
, San Francisco, USA, 2019.2.1-2019.2.6
作者:  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(2618Kb)  |  收藏  |  浏览/下载：248/84  |  提交时间：2020/04/29
Fluorescence Molecular Tomography  Nonlocal Total Variation  Morphological Reconstruction  
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：377/63  |  提交时间：2020/03/30
optical molecular imaging  machine learning  artificial intelligence  
In vivo three-dimensional evaluation of tumor hypoxia in nasopharyngeal carcinomas using FMT-CT and MSOT 期刊论文
European Journal of Nuclear Medicine and Molecular Imaging, 2019, 卷号: 0, 期号: 0, 页码: 0
作者:  Wenhui Huang;  Wang K(王坤);  Yu An;  Hui Meng;  Yuan Gao;  Zhiyuan Xiong;  Hao Yan;  Qian Wang;  Xuekang Cai;  Xin Yang;  Bin Zhang;  Qiuying Chen;  Xing Yang;  Jie Tian;  Shuixing Zhang
浏览  |  Adobe PDF(2830Kb)  |  收藏  |  浏览/下载：314/84  |  提交时间：2019/09/26
Nasopharyngeal Carcinoma  Tumour Hypoxia  Fluorescence Molecular Tomography  Multispectral Optoacoustic Tomography  
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
作者:  Zhang, Chong;  Wang, Kun;  An, Yu;  He, Kunshan;  Tong, Tong;  Tian, Jie
浏览  |  Adobe PDF(4570Kb)  |  收藏  |  浏览/下载：289/85  |  提交时间：2019/09/26