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NIR-II/NIR-I Fluorescence Molecular Tomography of Heterogeneous Mice Based on Gaussian Weighted Neighborhood Fused Lasso Method 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 卷号: 39, 期号: 6, 页码: 2213-2222
作者:  Cai, Meishan;  Zhang, Zeyu;  Shi, Xiaojing;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(2134Kb)  |  收藏  |  浏览/下载:331/70  |  提交时间:2020/08/03
Fluorescence molecular tomography  NIR-II  NIR-I  GWNFL method  
基于深度学习的室内场景语义建图与超分辨率技术研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
作者:  陈睿进
Adobe PDF(5489Kb)  |  收藏  |  浏览/下载:242/1  |  提交时间:2020/06/10
深度学习  语义建图  深度图  超分辨率  残差网络  
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:270/6  |  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  
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:256/61  |  提交时间:2020/06/15
Color‐Guided Depth Map Super‐Resolution Using a Dual‐Branch Multi‐Scale Residual Network with Channel Interaction 期刊论文
Sensors, 2020, 卷号: 20, 期号: 6, 页码: 1560
作者:  陈睿进;  高伟
Adobe PDF(2336Kb)  |  收藏  |  浏览/下载:255/62  |  提交时间:2020/04/30
Depth Map  Super‐resolution  Guidance  Residual Network  Channel Interaction  
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
Adobe PDF(4698Kb)  |  收藏  |  浏览/下载:280/72  |  提交时间:2020/04/29
Fluorescence Tomography  Machine Learning  Brain  
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:270/81  |  提交时间:2020/06/03
adaptive group orthogonal matching pursuit  fluorescence molecular tomography  local spatial structured sparsity regularization  inverse problem  
Performance Improvement of Discrete-time Linear Control Systems Subject to Varying Sampling Rates Using the Tikhonov Regularization Method 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 453-463
作者:  Fernando Agustín Pazos;  Anibal Zanini;  Amit Bhaya
Adobe PDF(1501Kb)  |  收藏  |  浏览/下载:424/279  |  提交时间:2021/02/22
Discrete-time switched systems  Tikhonov regularization  varying sampling rates  discrete-time control systems  networked control systems.