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多降质场景下的图像超分辨率算法研究 学位论文
, 2023
Authors:  罗正雄
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图像超分辨率  深度神经网络  递归融合  降质估计  交替优化  
A novel weighted auxiliary set matching pursuit method for glioma in Cerenkov luminescence tomography reconstruction 期刊论文
JOURNAL OF BIOPHOTONICS, 2022, 页码: 11
Authors:  Guo, Lishuang;  Cai, Meishan;  Zhang, Xiaoning;  Zhang, Zeyu;  Shi, Xiaojing;  Zhang, Xiaojun;  Liu, Jiangang;  Hu, Zhenhua;  Tian, Jie
Favorite  |  View/Download:120/0  |  Submit date:2022/09/19
Cerenkov luminescence tomography  glioma  matching pursuit  
High-Resolution Reconstruction of FMT Based on Elastic Net Optimized by Relaxed ADMM 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2022, 页码: /
Authors:  Yan, Daxiang;  An, Yu;  Li, Guanghui;  Li, Jiaqian;  Du, Yang;  Tian, Jie
Favorite  |  View/Download:71/0  |  Submit date:2023/02/06
A review of advances in imaging methodology in fluorescence molecular tomography 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2022, 卷号: 67, 期号: 10, 页码: 25
Authors:  Zhang, Peng;  Ma, Chenbin;  Song, Fan;  Fan, Guangda;  Sun, Yangyang;  Feng, Youdan;  Ma, Xibo;  Liu, Fei;  Zhang, Guanglei
Favorite  |  View/Download:132/0  |  Submit date:2022/06/10
fluorescence tomography  forward and inverse problem  ill-posedness  reconstruction method  deep learning  
新型荧光分子成像用于胶质瘤手术导航的研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  史小静
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激发荧光分子成像  断层成像  手术导航  契伦科夫光学成像  近红外二区荧光成像  
graph convolution based residual connected network for morphological reconstruction in fluorescence molecular tomography 会议论文
, 美国, 2022-2
Authors:  Wang Y(王宇);  Bian C(边畅);  Du Y(杜洋);  Tian J(田捷)
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Fluorescence molecular tomography  Graph convolution network  
Gaussian weighted block sparse Bayesian learning strategy based on K-means clustering algorithm for accurate bioluminescence tomography in glioma 会议论文
, 线上, 2021.2.15-2021.2.19
Authors:  Yin, Lin;  Wang, Kun;  Tian, Jie
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Adaptive Grouping Block Sparse Bayesian Learning Method for Accurate and Robust Reconstruction in Bioluminescence Tomography 期刊论文
IEEE Transactions on Biomedical Engineering, 2021, 卷号: 68, 期号: 99, 页码: 1
Authors:  Yin, Lin;  Wang, Kun;  Tong, Tong;  Wang, Qian;  An, Yu;  Yang, Xin;  Tian, Jie
Adobe PDF(11700Kb)  |  Favorite  |  View/Download:167/20  |  Submit date:2021/05/31
adaptive grouping  bioluminescence tomography  block sparse Bayesian learning  
A review of the application of machine learning in molecular imaging 期刊论文
Annals of Translational Medicine, 2021, 卷号: 0, 期号: 0, 页码: 0
Authors:  Yin, Lin;  Cao, Zhen;  Wang, Kun;  Tian, Jie;  Yang, Xing;  Zhang, Jianhua
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molecular imaging, machine learning, artificial intelligence  
Learning pose-invariant 3D object reconstruction from single-view images 期刊论文
Neurocomputing, 2021, 卷号: 423, 页码: 407-418
Authors:  Bo Peng;  Wei Wang;  Jing Dong;  Tieniu Tan
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Learning 3D shape, Single view supervision, Domain confusion, Adversarial learning