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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
作者:  He, Xuelei;  Meng, Hui;  He, Xiaowei;  Wang, Kun;  Song, Xiaolei;  Tian, Jie
收藏  |  浏览/下载：203/0  |  提交时间：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
作者:  Yin, Lin;  Wang, Kun;  Tong, Tong;  An, Yu;  Meng, Hui;  Yang, Xin;  Tian, Jie
浏览  |  Adobe PDF(646Kb)  |  收藏  |  浏览/下载：326/58  |  提交时间：2020/08/03
Image reconstruction  Bayes methods  Tumors  Inverse problems  Light sources  Tomography  Morphology  Bioluminescence tomography (BLT)  block sparse Bayesian learning  morphology recovery  
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
作者:  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(1743Kb)  |  收藏  |  浏览/下载：234/62  |  提交时间：2020/04/29
Hepatocellular Carcinoma Classification  Metastasis  Microscopic Imaging  Machine Learning  Convolutional Neural Networks (Cnn)  
Morphological Reconstruction of Fluorescence Molecular Tomography Based on Nonlocal Total Variation Regularization for Tracer Distribution in Glioma 会议论文
, San Francisco, USA, 2019.2.1-2019.2.6
作者:  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
Adobe PDF(2618Kb)  |  收藏  |  浏览/下载：224/78  |  提交时间：2020/04/29
Fluorescence Molecular Tomography  Nonlocal Total Variation  Morphological Reconstruction  
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：286/73  |  提交时间：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
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：342/57  |  提交时间：2020/03/30
optical molecular imaging  machine learning  artificial intelligence  
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
作者:  Hui Meng;  Kun Wang;  Yuan Gao;  Yushen Jin;  Xibo Ma;  Jie Tian
浏览  |  Adobe PDF(2085Kb)  |  收藏  |  浏览/下载：290/75  |  提交时间：2019/09/26
Fluorescence Tomography  Multi-modality Fusion  Brain  
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：521/121  |  提交时间：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
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.  
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
作者:  Gao, Yuan;  Wang, Kun;  An, Yu;  Jiang, Shixin;  Meng, Hui;  Tian, Jie
浏览  |  Adobe PDF(708Kb)  |  收藏  |  浏览/下载：228/29  |  提交时间：2019/04/29
Light  Regularization  Registration  Information  Algorithm  Accuracy