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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
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fluorescence tomography  forward and inverse problem  ill-posedness  reconstruction method  deep learning  
基于多分支网络的医学声学图像重建与分析算法研究 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:  童同
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光声断层成像  超声成像  图像重建  图像分析  多分支网络  深度学习  
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  
基于图网络的脑胶质瘤激发荧光断层重建算法研究 学位论文
, 中国科学院自动化所: 中国科学院自动化所, 2022
Authors:  王宇
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图网络  激发荧光断层重建  
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  
A Fast and Automated FMT/XCT Reconstruction Strategy Based on Standardized Imaging Space 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 3, 页码: 657-666
Authors:  An, Yu;  Bian, Chang;  Yan, Daxiang;  Wang, Hanfan;  Wang, Yu;  Du, Yang;  Tian, Jie
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Imaging  Image reconstruction  Mice  In vivo  Image segmentation  Finite element analysis  Surface reconstruction  Fluorescence molecular tomography  imaging reconstruction  standardized imaging space  
基于块稀疏贝叶斯框架的生物自发荧光断层成像算法研究 学位论文
, 北京市海淀区中关村东路95号中国科学院自动化研究所: 中国科学院大学, 2021
Authors:  尹琳
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生物自发荧光断层成像  块稀疏贝叶斯算法  K均值聚类策略  K近邻策略  自适应分组策略  
A Novel Adaptive Parameter Search Elastic Net Method for Fluorescent Molecular Tomography 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 5, 页码: 1484-1498
Authors:  Wang, Hanfan;  Bian, Chang;  Kong, Lingxin;  An, Yu;  Du, Yang;  Tian, Jie
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Image reconstruction  Fluorescence  Probes  Mathematical model  Photonics  Molecular imaging  Biological tissues  Fluorescence molecular tomography  adaptive parameter search  elastic net  
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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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