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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：167/9  |  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：407/54  |  提交时间：2023/03/20
System matrix recovery based on deep image prior in magnetic particle imaging 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2023, 卷号: 68, 期号: 3, 页码: 14
作者:  Yin, Lin;  Guo, Hongbo;  Zhang, Peng;  Li, Yimeng;  Hui, Hui;  Du, Yang;  Tian, Jie
收藏  |  浏览/下载：380/0  |  提交时间：2023/03/20
magnetic particle imaging  deep image prior  system matrix recovery  
Weighted sum of harmonic signals for direct imaging in magnetic particle imaging 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2023, 卷号: 68, 期号: 1, 页码: 13
作者:  Liu, Yanjun;  Hui, Hui;  Liu, Sijia;  Li, Guanghui;  Zhang, Bo;  Zhong, Jing;  An, Yu;  Tian, Jie
收藏  |  浏览/下载：359/0  |  提交时间：2023/02/22
magnetic particle imaging  short-time fourier transform  direct imaging  multi-patch imaging  
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：366/101  |  提交时间：2022/11/14
Dual-reaction  Fe(II)  Ferroptosis  Fluorescent probes  ROS  Turn-on response  
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
作者:  An, Yu;  Bian, Chang;  Yan, Daxiang;  Wang, Hanfan;  Wang, Yu;  Du, Yang;  Tian, Jie
Adobe PDF(8285Kb)  |  收藏  |  浏览/下载：336/63  |  提交时间：2022/06/06
Imaging  Image reconstruction  Mice  In vivo  Image segmentation  Finite element analysis  Surface reconstruction  Fluorescence molecular tomography  imaging reconstruction  standardized imaging space  
Attention mechanism-based locally connected network for accurate and stable reconstruction in Cerenkov luminescence tomography 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2021, 卷号: 12, 期号: 12, 页码: 7703-7716
作者:  Zhang, Xiaoning;  Cai, Meishan;  Guo, Lishuang;  Zhang, Zeyu;  Shen, Biluo;  Zhang, Xiaojun;  Hu, Zhenhua;  Tian, Jie
收藏  |  浏览/下载：216/0  |  提交时间：2021/12/28
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
作者:  Wang, Hanfan;  Bian, Chang;  Kong, Lingxin;  An, Yu;  Du, Yang;  Tian, Jie
Adobe PDF(8176Kb)  |  收藏  |  浏览/下载：421/68  |  提交时间：2021/06/15
Image reconstruction  Fluorescence  Probes  Mathematical model  Photonics  Molecular imaging  Biological tissues  Fluorescence molecular tomography  adaptive parameter search  elastic net  
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
作者:  Yin, Lin;  Wang, Kun;  Tong, Tong;  Wang, Qian;  An, Yu;  Yang, Xin;  Tian, Jie
Adobe PDF(11700Kb)  |  收藏  |  浏览/下载：284/51  |  提交时间：2021/05/31
adaptive grouping  bioluminescence tomography  block sparse Bayesian learning  
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
作者:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  收藏  |  浏览/下载：303/27  |  提交时间：2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)