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基于卷积神经网络的激发荧光断层成像重建算法研究 学位论文
工学硕士学位, 中科科学院大学: 中国科学院大学, 2019
Authors:  黄超
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激发荧光断层重建, 深度学习, 神经网络, 前向问题, 逆向问题  
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
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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  
基于光学多模分子影像技术的抗肝肿瘤药物疗效评估 学位论文
工程硕士, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  梁倩
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光学多模分子影像,自发荧光断层重建,药效评估,阿帕替尼,索拉菲尼,肝癌  
Fast and Robust Reconstruction Method for Fluorescence Molecular Tomography based on Deep Neural Network 会议论文
, The Moscone Center, San Francisco, California, USA, 2019-02-02
Authors:  Huang C(黄超);  Meng Hui;  Yuan Gao;  Shixin Jiang;  Kun Wang;  Jie Tian
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Fluorescence Molecular Tomography, Ill-poseness, Deep Convolution Neural Network, Reconstruction.  
Robust reconstruction of fluorescence molecular tomography based on correntropy matching pursuit method for stem cell tracing 期刊论文
IEEE transactions on medical imaging, 2018, 卷号: 37, 期号: 10, 页码: 2176-2184
Authors:  Ma XB(马喜波)
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Fluorescence Molecular tomography+inverse problem+sparsity Adaptive Correntropy Matching pursuit+robust Reconstruction  
Dictionary-based fiber orientation estimation with improved spatial consistency 期刊论文
MEDICAL IMAGE ANALYSIS, 2018, 卷号: 44, 期号: 44, 页码: 41-53
Authors:  Ye, Chuyang;  Prince, Jerry L.
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Diffusion Mri  Dictionary-based Fo Estimation  Spatial Consistency  Pairwise Fo Dissimilarity  
基于L1正则化稀疏约束的激发荧光断层重建方法研究 学位论文
, 北京: 中国科学院研究生院, 2017
Authors:  叶津佐
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光学分子影像  激发荧光断层重建  L1范数正则化  非单调谱投影梯度方法  交替方向优化方法  稀疏度自适应  
Fast in vivo bioluminescence tomography using a novel pure optical imaging technique 期刊论文
JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2017, 卷号: 10, 期号: 3
Authors:  Zhang, Shuang;  Leng, Chengcai;  Liu, Hongbo;  Wang, Kun;  Tian, Jie
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Optical Surface Reconstruction  Bioluminescence Tomography Reconstruction  Optical Molecular Imaging  Light Flux Reconstruction  
Reconstruction Method for In Vivo Bioluminescence Tomography Based on the Split Bregman Iterative and Surrogate Functions 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2017, 卷号: 19, 期号: 2, 页码: 245-255
Authors:  Zhang, Shuang;  Wang, Kun;  Liu, Hongbo;  Leng, Chengcai;  Gao, Yuan;  Tian, Jie
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Bioluminescence Tomography Reconstruction  Optical Molecular Imaging  Split Bregman Method  Surrogate Functions  
Optimized 3D Lighting Environment Estimation for Image Forgery Detection 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2017, 卷号: 12, 期号: 2, 页码: 479-494
Authors:  Peng, Bo;  Wang, Wei;  Dong, Jing;  Tan, Tieniu
View  |  Adobe PDF(4867Kb)  |  Favorite  |  View/Download:226/87  |  Submit date:2017/02/14
Image Forensics  Composite Detection  Human Faces  Lighting Estimation