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graph convolution based residual connected network for morphological reconstruction in fluorescence molecular tomography 会议论文
, 美国, 2022-2
作者:  Wang Y(王宇);  Bian C(边畅);  Du Y(杜洋);  Tian J(田捷)
Adobe PDF(625Kb)  |  收藏  |  浏览/下载：206/61  |  提交时间：2022/06/14
Fluorescence molecular tomography  Graph convolution network  
Non-Negative Iterative Convex Refinement Approach for Accurate and Robust Reconstruction in Cerenkov Luminescence Tomography 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 卷号: 39, 期号: 10, 页码: 3207-3217
作者:  Cai, Meishan;  Zhang, Zeyu;  Shi, Xiaojing;  Yang, Junying;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(2176Kb)  |  收藏  |  浏览/下载：330/67  |  提交时间：2021/01/07
Image reconstruction  Imaging  Mathematical model  Shape  Slabs  Iterative methods  Luminescence  Cerenkov luminescence tomography  sparse reconstruction  inverse problem  tumor  
The improved reconstruction of fluorescence molecular tomography via regularized doubly orthogonal matching pursuit method 会议论文
, Houston, USA, 2020-2-16
作者:  Lingxin Kong;  Yu An;  Yang Du;  Jie Tian
浏览  |  Adobe PDF(1305Kb)  |  收藏  |  浏览/下载：269/66  |  提交时间：2020/06/15
Reconstruction for Fluorescence Molecular Tomography via Adaptive Group Orthogonal Matching Pursuit 期刊论文
IEEE Transactions on Biomedical Engineering, 2020, 卷号: 67, 期号: 10.1109/TBME.2019.2963815, 页码: 1-12
作者:  Kong, Lingxin;  An, Yu;  Liang, Qian;  Yin, Lin;  Du, Yang;  Tian, Jie
浏览  |  Adobe PDF(4495Kb)  |  收藏  |  浏览/下载：296/91  |  提交时间：2020/06/03
adaptive group orthogonal matching pursuit  fluorescence molecular tomography  local spatial structured sparsity regularization  inverse problem  
基于结构相关正交匹配追踪的激发荧光肝肿瘤重建研究 学位论文
, 自动化研究所: 中国科学院大学, 2020
作者:  孔令鑫
Adobe PDF(2986Kb)  |  收藏  |  浏览/下载：282/6  |  提交时间：2020/06/03
激发荧光断层成像  匹配追踪  组稀疏  斯密特正交化  
K-nearest Neighbor Based Locally Connected Network for Fast Morphological Reconstruction in Fluorescence Molecular Tomography 期刊论文
IEEE Transactions on Medical Imaging, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Meng, Hui;  Gao, Yuan;  Yang, Xin;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(4698Kb)  |  收藏  |  浏览/下载：299/76  |  提交时间：2020/04/29
Fluorescence Tomography  Machine Learning  Brain  
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：410/79  |  提交时间：2020/03/30
Cerenkov luminescence tomography (CLT)  optical reconstruction  photon propagation  neural network  inverse problem  
Robust Reconstruction of Fluorescence Molecular Tomography Based on Sparsity Adaptive Correntropy Matching Pursuit Method for Stem Cell Distribution 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2018, 卷号: 37, 期号: 10, 页码: 2176-2184
作者:  Zhang, Shuai;  Ma, Xibo;  Wang, Yi;  Wu, Meng;  Meng, Hui;  Chai, Wei;  Wang, Xiaojie;  Wei, Shoushui;  Tian, Jie
浏览  |  Adobe PDF(1652Kb)  |  收藏  |  浏览/下载：287/73  |  提交时间：2019/12/16
Fluorescence molecular tomography  inverse problem  sparsity adaptive correntropy matching pursuit  robust reconstruction  
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：375/149  |  提交时间：2019/04/29
Fluorescence Molecular Tomography, Ill-poseness, Deep Convolution Neural Network, Reconstruction.  
Robust reconstruction of fluorescence molecular tomography based on correntropy matching pursuit method for stem cell tracing 期刊论文
IEEE transactions on medical imaging, 2018, 卷号: 37, 期号: 10, 页码: 2176-2184
作者:  Ma XB(马喜波)
浏览  |  Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：315/93  |  提交时间：2018/10/09
Fluorescence Molecular tomography+inverse problem+sparsity Adaptive Correntropy Matching pursuit+robust Reconstruction