CASIA OpenIR

浏览/检索结果: 共11条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
BSS-TFNet: Attention-Enhanced Background Signal Suppression Network for Time-Frequency Spectrum in Magnetic Particle Imaging 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 15
作者:  Wei, Zechen;  Liu, Yanjun;  Zhu, Tao;  Yang, Xin;  Tian, Jie;  Hui, Hui
Adobe PDF(6094Kb)  |  收藏  |  浏览/下载:104/5  |  提交时间:2024/02/22
Magnetic particle imaging  deep learning  self-attention mechanism  time-frequency spectrum  background signal  
Magnetic particle imaging deblurring with dual contrastive learning and adversarial framework 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 卷号: 165, 页码: 11
作者:  Zhang, Jiaxin;  Wei, Zechen;  Wu, Xiangjun;  Shang, Yaxin;  Tian, Jie;  Hui, Hui
Adobe PDF(6341Kb)  |  收藏  |  浏览/下载:200/17  |  提交时间:2023/11/16
Magnetic particle imaging  Deblurring  Unpaired data  Contrastive learning  Adversarial framework  
Excitation-based fully connected network for precise NIR-II fluorescence molecular tomography 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2022, 卷号: 13, 期号: 12, 页码: 6284-6299
作者:  Cao, Caiguang;  Xiao, Anqi;  Cai, Meishan;  Shen, Biluo;  Guo, Lishuang;  Shi, Xiaojing;  Tian, Jie;  Hu, Zhenhua
Adobe PDF(6713Kb)  |  收藏  |  浏览/下载:477/58  |  提交时间:2023/03/20
The Detection of Divalent Iron and Reactive Oxygen Species During Ferroptosis with the Use of a Dual-Reaction Turn-On Fluorescent Probe 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2022, 页码: 12
作者:  Wang, Yueqi;  Li, Changjian;  Zhuo, Jiaming;  Hui, Hui;  Zhou, Bing;  Tian, Jie
Adobe PDF(1924Kb)  |  收藏  |  浏览/下载:388/105  |  提交时间:2022/11/14
Dual-reaction  Fe(II)  Ferroptosis  Fluorescent probes  ROS  Turn-on response  
Lineage Tracing and Molecular Real-Time Imaging of Cancer Stem Cells 期刊论文
BIOSENSORS-BASEL, 2022, 卷号: 12, 期号: 9, 页码: 13
作者:  Jia, Xiaohua;  Shen, Guodong;  Jia, Jia;  Zhang, Yan;  Zhang, Dan;  Li, Wanjun;  Zhang, Jianjun;  Huang, Xinglu;  Tian, Jie
Adobe PDF(580Kb)  |  收藏  |  浏览/下载:280/14  |  提交时间:2022/11/14
lineage tracing  molecular imaging  cancer stem cells  
Deep learning for improving the spatial resolution of magnetic particle imaging 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2022, 卷号: 67, 期号: 12, 页码: 14
作者:  Shang, Yaxin;  Liu, Jie;  Zhang, Liwen;  Wu, Xiangjun;  Zhang, Peng;  Yin, Lin;  Hui, Hui;  Tian, Jie
收藏  |  浏览/下载:282/0  |  提交时间:2022/07/25
deep learning  magnetic particle imaging  spatial resolution  superparamagnetic iron oxide nanoparticles  
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
作者:  Zhang, Peng;  Ma, Chenbin;  Song, Fan;  Fan, Guangda;  Sun, Yangyang;  Feng, Youdan;  Ma, Xibo;  Liu, Fei;  Zhang, Guanglei
收藏  |  浏览/下载:222/0  |  提交时间:2022/06/10
fluorescence tomography  forward and inverse problem  ill-posedness  reconstruction method  deep learning  
Non-Negative Iterative Convex Refinement Approach for Accurate and Robust Reconstruction in Cerenkov Luminescence Tomography 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 卷号: 39, 期号: 10, 页码: 3207-3217
作者:  Cai, Meishan;  Zhang, Zeyu;  Shi, Xiaojing;  Yang, Junying;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(2176Kb)  |  收藏  |  浏览/下载:364/76  |  提交时间:2021/01/07
Image reconstruction  Imaging  Mathematical model  Shape  Slabs  Iterative methods  Luminescence  Cerenkov luminescence tomography  sparse reconstruction  inverse problem  tumor  
Linear scheme for the direct reconstruction of noncontact time-domain fluorescence molecular lifetime tomography 期刊论文
APPLIED OPTICS, 2020, 卷号: 59, 期号: 26, 页码: 7961-7967
作者:  Zhang, Peng;  Liu, Jie;  Hui, Hui;  An, Yu;  Wang, Kun;  Yang, Xin;  Tian, Jie
收藏  |  浏览/下载:216/0  |  提交时间:2021/01/07
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:385/80  |  提交时间:2020/08/03
Fluorescence molecular tomography  NIR-II  NIR-I  GWNFL method