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A novel Cerenkov luminescence tomography approach using multilayer fully connected neural network 期刊论文
Physics in Medicine & Biology, 2019, 卷号: 64, 期号: 2019, 页码: 245010
作者:  Zhang,Zeyu;  Cai,Meishan;  Gao,Yuan;  Shi,Xiaojing;  Zhang,Xiaojun;  Hu,Zhenhua;  Tian,Jie
Adobe PDF(3210Kb)  |  收藏  |  浏览/下载:387/73  |  提交时间:2020/03/30
Cerenkov luminescence tomography (CLT)  optical reconstruction  photon propagation  neural network  inverse problem  
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:340/57  |  提交时间:2020/03/30
optical molecular imaging  machine learning  artificial intelligence  
Reconstruction method for fluorescence molecular tomography based on L1-norm primal accelerated proximal gradient 期刊论文
Journal of Biomedical Optics, 2018, 卷号: 23, 期号: 8, 页码: 085002
作者:  Yuhao Liu;  Shixin Jiang;  Jie Liu;  Yu An;  Guanglei Zhang;  Yuan Gao;  Wang K(王坤);  Jie Tian
浏览  |  Adobe PDF(4066Kb)  |  收藏  |  浏览/下载:233/68  |  提交时间:2019/09/26
Fluorescence Molecular Tomography  Image-reconstruction  Diffuse Optical Tomography  
Reconstruction of Fluorescence Molecular Tomography via a Fused LASSO Method Based on Group Sparsity Prior 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2019, 卷号: 66, 期号: 5, 页码: 1361-1371
作者:  Jiang, Shixin;  Liu, Jie;  Zhang, Guanglei;  An, Yu;  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(5641Kb)  |  收藏  |  浏览/下载:520/121  |  提交时间:2019/07/11
Fluorescence molecular tomography  image reconstruction  fused LASSO method  group sparsity  
无肿瘤区域引导的生物自发荧光断层成像重建算法研究 学位论文
, 北京: 中国科学院大学, 2019
作者:  高源
Adobe PDF(7003Kb)  |  收藏  |  浏览/下载:268/7  |  提交时间:2019/06/11
光学分子影像  生物自发荧光断层成像  高斯权重拉普拉斯正则先验  双边权重拉普拉斯正则先验  多层感知机重建模型  
Fast and Robust Reconstruction Method for Fluorescence Molecular Tomography based on Deep Neural Network 会议论文
, The Moscone Center, San Francisco, California, USA, 2019-02-02
作者:  Huang C(黄超);  Meng Hui;  Yuan Gao;  Shixin Jiang;  Kun Wang;  Jie Tian
浏览  |  Adobe PDF(587Kb)  |  收藏  |  浏览/下载:362/147  |  提交时间:2019/04/29
Fluorescence Molecular Tomography, Ill-poseness, Deep Convolution Neural Network, Reconstruction.  
Reconstruction Method for In Vivo Bioluminescence Tomography Based on the Split Bregman Iterative and Surrogate Functions 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2017, 卷号: 19, 期号: 2, 页码: 245-255
作者:  Zhang, Shuang;  Wang, Kun;  Liu, Hongbo;  Leng, Chengcai;  Gao, Yuan;  Tian, Jie
Adobe PDF(3239Kb)  |  收藏  |  浏览/下载:284/101  |  提交时间:2017/07/18
Bioluminescence Tomography Reconstruction  Optical Molecular Imaging  Split Bregman Method  Surrogate Functions