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Nonconvex Laplacian Manifold Joint Method for Morphological Reconstruction of Fluorescence Molecular Tomography 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2021, 页码: 13
Authors:  He, Xuelei;  Meng, Hui;  He, Xiaowei;  Wang, Kun;  Song, Xiaolei;  Tian, Jie
Favorite  |  View/Download:55/0  |  Submit date:2021/03/01
Fluorescence molecular tomography  Reconstruction  Nonconvex  Laplacian manifold  In vivo imaging  Morphology  
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
Authors:  Yin, Lin;  Wang, Kun;  Tong, Tong;  An, Yu;  Meng, Hui;  Yang, Xin;  Tian, Jie
View  |  Adobe PDF(646Kb)  |  Favorite  |  View/Download:105/8  |  Submit date:2020/08/03
Image reconstruction  Bayes methods  Tumors  Inverse problems  Light sources  Tomography  Morphology  Bioluminescence tomography (BLT)  block sparse Bayesian learning  morphology recovery  
基于光源邻域信息的激发荧光断层重建算法研究 学位论文
, 中国科学院大学: 中国科学院大学, 2020
Authors:  孟慧
Adobe PDF(5883Kb)  |  Favorite  |  View/Download:141/2  |  Submit date:2020/05/28
光学分子影像  激发荧光断层成像  非局部全变分正则先验  自适应高 斯权重拉普拉斯正则先验  k 近邻局部连接网络  
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
Authors:  Meng, Hui;  Gao, Yuan;  Yang, Xin;  Wang, Kun;  Tian, Jie
View  |  Adobe PDF(4698Kb)  |  Favorite  |  View/Download:122/28  |  Submit date:2020/04/29
Fluorescence Tomography  Machine Learning  Brain  
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
Authors:  An, Yu;  Meng, Hui;  Gao, Yuan;  Tong, Tong;  Zhang, Chong;  Wang, Kun;  Tian, Jie
Adobe PDF(5942Kb)  |  Favorite  |  View/Download:111/1  |  Submit date:2020/03/30
optical molecular imaging  machine learning  artificial intelligence  
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:223/54  |  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:218/106  |  Submit date:2019/04/29
Fluorescence Molecular Tomography, Ill-poseness, Deep Convolution Neural Network, Reconstruction.  
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:120/20  |  Submit date:2019/04/29
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: 38, 期号: 12, 页码: 2726-2734
Authors:  Hui Meng;  Kun Wang;  Yuan Gao;  Yushen Jin;  Xibo Ma;  Jie Tian
View  |  Adobe PDF(2085Kb)  |  Favorite  |  View/Download:138/26  |  Submit date:2019/09/26
Fluorescence Tomography  Multi-modality Fusion  Brain  
Deep Learning Based Classification for Metastasis of Hepatocellular Carcinoma with Microscopic Images 会议论文
, San Diego, USA, 2019.2.16-2019.2.21
Authors:  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
View  |  Adobe PDF(1743Kb)  |  Favorite  |  View/Download:95/15  |  Submit date:2020/04/29
Hepatocellular Carcinoma Classification  Metastasis  Microscopic Imaging  Machine Learning  Convolutional Neural Networks (Cnn)