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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
Authors:  Jiang, Shixin;  Liu, Jie;  Zhang, Guanglei;  An, Yu;  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
View  |  Adobe PDF(5641Kb)  |  Favorite  |  View/Download:21/0  |  Submit date:2019/07/11
Fluorescence molecular tomography  image reconstruction  fused LASSO method  group sparsity  
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
Authors:  Huang C(黄超);  Meng Hui;  Yuan Gao;  Shixin Jiang;  Kun Wang;  Jie Tian
View  |  Adobe PDF(587Kb)  |  Favorite  |  View/Download:93/59  |  Submit date:2019/04/29
Fluorescence Molecular Tomography, Ill-poseness, Deep Convolution Neural Network, Reconstruction.  
Altered Functional Connectivity of the Primary Visual Cortex in Adult Comitant Strabismus: A Resting-State Functional MRI Study 期刊论文
CURRENT EYE RESEARCH, 2019, 卷号: 44, 期号: 3, 页码: 316-323
Authors:  Yan, Xiaohe;  Wang, Yun;  Xu, Lijuan;  Liu, Yong;  Song, Shaojie;  Ding, Kun;  Zhou, Yuan;  Jiang, Tianzi;  Lin, Xiaoming
Favorite  |  View/Download:12/0  |  Submit date:2019/07/12
Functional connectivity  primary visual cortex  comitant strabismus  resting-state  functional magnetic resonance imaging (fMRI)  
Bioluminescence Tomography Based on Bilateral Weight Laplace method for In vivo Morphological Imaging of Glioma 会议论文
, San Francisco, USA, 2019.02.01
Authors:  Gao, Yuan;  Wang, Kun;  Meng, Hui;  An, Yu;  Jiang, Shixin;  Tian, Jie
View  |  Adobe PDF(868Kb)  |  Favorite  |  View/Download:40/10  |  Submit date:2019/04/29
StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning 期刊论文
IEEE Transactions on Emerging Topics in Computational Intelligence, 2019, 卷号: 3, 期号: 1, 页码: 73-84
Authors:  Kun Shao;  Yuanheng Zhu;  Dongbin Zhao
View  |  Adobe PDF(4125Kb)  |  Favorite  |  View/Download:62/41  |  Submit date:2019/04/22
Reinforcement Learning, Transfer Learning, Curriculum Learning, Neural Network, Game Ai  
Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography 期刊论文
IEEE Transactions on Medical Imaging, 2019, 卷号: 无, 期号: 无, 页码: 无
Authors:  Hui Meng;  Kun Wang;  Yuan Gao;  Yushen Jin;  Xibo Ma;  Jie Tian
View  |  Adobe PDF(1108Kb)  |  Favorite  |  View/Download:8/2  |  Submit date:2019/09/26
Fluorescence Tomography  Multi-modality Fusion  Brain  
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
Authors:  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
View  |  Adobe PDF(2830Kb)  |  Favorite  |  View/Download:16/3  |  Submit date:2019/09/26
Nasopharyngeal Carcinoma  Tumour Hypoxia  Fluorescence Molecular Tomography  Multispectral Optoacoustic Tomography  
Non model-based bioluminescence tomography using a machine-learning reconstruction strategy 期刊论文
Optica, 2018, 卷号: 5, 期号: 11, 页码: 1451-1454
Authors:  Gao, Yuan;  Wang, Kun;  An, Yu;  Jiang, Shixin;  Meng, Hui;  Tian, Jie
View  |  Adobe PDF(708Kb)  |  Favorite  |  View/Download:44/7  |  Submit date:2019/04/29
Light  Regularization  Registration  Information  Algorithm  Accuracy  
A Review of Computational Intelligence for StarCraft AI 会议论文
, Bangalore, India, 18-21 Nov. 2018
Authors:  Tang, Zhentao;  Shao, Kun;  Zhu, Yuanheng;  Li, Dong;  Zhao, Dongbin;  Huang, Tingwen
View  |  Adobe PDF(131Kb)  |  Favorite  |  View/Download:54/40  |  Submit date:2019/04/25
Learning battles in ViZDoom via deep reinforcement learning 会议论文
, Maastricht, The Netherlands, 2018-08
Authors:  Kun Shao;  Dongbin Zhao;  Nannan Li;  Yuanheng Zhu
View  |  Adobe PDF(446Kb)  |  Favorite  |  View/Download:43/22  |  Submit date:2019/04/22
Reinforcement Learning, Deep Learning, Game Ai