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Automatic segmentation of intracerebral hemorrhage in CT images using encoder-decoder convolutional neural network 期刊论文
INFORMATION PROCESSING & MANAGEMENT, 2020, 卷号: 57, 期号: 6, 页码: 16
Authors:  Hu, Kai;  Chen, Kai;  He, Xizhi;  Zhang, Yuan;  Chen, Zhineng;  Li, Xuanya;  Gao, Xieping
Favorite  |  View/Download:5/0  |  Submit date:2021/01/06
Intracerebral hemorrhage  Segmentation  Convolutional neural networks  Multi-scale features  Data imbalance  
Distinguishing Epileptiform Discharges From Normal Electroencephalograms Using Scale-Dependent Lyapunov Exponent 期刊论文
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2020, 卷号: 8, 页码: 14
Authors:  Li, Qiong;  Gao, Jianbo;  Huang, Qi;  Wu, Yuan;  Xu, Bo
Favorite  |  View/Download:4/0  |  Submit date:2021/01/07
EEG  epileptiform discharges  power spectral density (PSD)  scale-dependent Lyapunov exponent (SDLE)  random forest classifier  support vector machine (SVM)  
Distinguishing Epileptiform Discharges From Normal Electroencephalograms Using Adaptive Fractal and Network Analysis: A Clinical Perspective 期刊论文
FRONTIERS IN PHYSIOLOGY, 2020, 卷号: 11, 页码: 15
Authors:  Li, Qiong;  Gao, Jianbo;  Zhang, Ziwen;  Huang, Qi;  Wu, Yuan;  Xu, Bo
Favorite  |  View/Download:8/0  |  Submit date:2020/09/28
EEG  epileptiform discharges  adaptive fractal analysis  Hurst parameter  singular value decomposition  brain network  
Precise visual distinction of brain glioma from normal tissues via targeted photoacoustic and fluorescence navigation 期刊论文
NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE, 2020, 卷号: 27, 页码: 9
Authors:  Jia, Xiaohua;  Fan, Kelong;  Zhang, Ruofei;  Zhang, Dan;  Zhang, Jianjun;  Gao, Yuan;  Zhang, Tao;  Li, Wanjun;  Li, Junlai;  Yan, Xiyun;  Tian, Jie
Favorite  |  View/Download:16/0  |  Submit date:2020/08/21
Glioma  Molecular imaging  Transferrin receptor 1  Nanoparticles  
Fluorescence Molecular Tomography Based on Group Sparsity Priori for Morphological Reconstruction of Glioma 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 5, 页码: 1429-1437
Authors:  Jiang, Shixin;  Liu, Jie;  An, Yu;  Gao, Yuan;  Meng, Hui;  Wang, Kun;  Tian, Jie
Favorite  |  View/Download:35/0  |  Submit date:2020/06/22
Fluorescence  Image reconstruction  Tumors  Reconstruction algorithms  Morphology  Photonics  Inverse problems  Fluorescence molecular tomography  group sparsity  image reconstruction  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
Authors:  Meng, Hui;  Gao, Yuan;  Yang, Xin;  Wang, Kun;  Tian, Jie
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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
Authors:  An, Yu;  Meng, Hui;  Gao, Yuan;  Tong, Tong;  Zhang, Chong;  Wang, Kun;  Tian, Jie
Favorite  |  View/Download:38/0  |  Submit date:2020/03/30
optical molecular imaging  machine learning  artificial intelligence  
A novel Cerenkov luminescence tomography approach using multilayer fully connected neural network 期刊论文
Physics in Medicine & Biology, 2019, 卷号: 64, 期号: 24
Authors:  Zhang,Zeyu;  Cai,Meishan;  Gao,Yuan;  Shi,Xiaojing;  Zhang,Xiaojun;  Hu,Zhenhua;  Tian,Jie
Favorite  |  View/Download:31/0  |  Submit date:2020/03/30
Cerenkov luminescence tomography (CLT)  optical reconstruction  photon propagation  neural network  inverse problem  
In vivo three-dimensional evaluation of tumour hypoxia in nasopharyngeal carcinomas using FMT-CT and MSOT 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2019, 页码: 12
Authors:  Huang, Wenhui;  Wang, Kun;  An, Yu;  Meng, Hui;  Gao, Yuan;  Xiong, Zhiyuan;  Yan, Hao;  Wang, Qian;  Cai, Xuekang;  Yang, Xin;  Zhang, Bin;  Chen, Qiuying;  Yang, Xing;  Tian, Jie;  Zhang, Shuixing
Favorite  |  View/Download:39/0  |  Submit date:2020/03/30
Nasopharyngeal carcinoma  Tumour hypoxia  Fluorescence molecular tomography  Multispectral optoacoustic tomography  Carbonic anhydrase IX  
无肿瘤区域引导的生物自发荧光断层成像重建算法研究 学位论文
, 北京: 中国科学院大学, 2019
Authors:  高源
Adobe PDF(7003Kb)  |  Favorite  |  View/Download:96/5  |  Submit date:2019/06/11
光学分子影像  生物自发荧光断层成像  高斯权重拉普拉斯正则先验  双边权重拉普拉斯正则先验  多层感知机重建模型