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基于深度学习的小样本肿瘤CT影像分析算法研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  王硕
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计算机断层扫描(ct)  深度学习  肿瘤分割  半监督学习  预后分析  
大规模场景的三维几何和语义建模研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
Authors:  周洋
Adobe PDF(19108Kb)  |  Favorite  |  View/Download:112/4  |  Submit date:2019/06/04
计算机视觉  三维重建  点云配准  语义分割  主动学习  
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  
Reconstruction of Fluorescence Molecular Tomography via a Fused LASSO Method Based on Group Sparsity Prior 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2019, 卷号: 66, 期号: 5, 页码: 1361-1371
Authors:  Jiang, Shixin;  Liu, Jie;  Zhang, Guanglei;  An, Yu;  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
View  |  Adobe PDF(5641Kb)  |  Favorite  |  View/Download:23/0  |  Submit date:2019/07/11
Fluorescence molecular tomography  image reconstruction  fused LASSO method  group sparsity  
In vivo three-dimensional evaluation of tumor hypoxia in nasopharyngeal carcinomas using FMT-CT and MSOT 期刊论文
European Journal of Nuclear Medicine and Molecular Imaging, 2019, 卷号: 0, 期号: 0, 页码: 0
Authors:  Wenhui Huang;  Wang K(王坤);  Yu An;  Hui Meng;  Yuan Gao;  Zhiyuan Xiong;  Hao Yan;  Qian Wang;  Xuekang Cai;  Xin Yang;  Bin Zhang;  Qiuying Chen;  Xing Yang;  Jie Tian;  Shuixing Zhang
View  |  Adobe PDF(2830Kb)  |  Favorite  |  View/Download:17/3  |  Submit date:2019/09/26
Nasopharyngeal Carcinoma  Tumour Hypoxia  Fluorescence Molecular Tomography  Multispectral Optoacoustic Tomography  
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
Authors:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
View  |  Adobe PDF(1623Kb)  |  Favorite  |  View/Download:50/11  |  Submit date:2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning  
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis 会议论文
, Honolulu, Hawaii, USA, 2018-7
Authors:  Wang, Shuo;  Liu, Zhenyu;  Chen, Xi;  Zhu, Yongbei;  Zhou, Hongyu;  Tang, Zhenchao;  Wei, Wei;  Dong, Di;  Wang, Meiyun;  Tian, Jie
View  |  Adobe PDF(797Kb)  |  Favorite  |  View/Download:36/15  |  Submit date:2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
Sparse Reconstruction of Fluorescence Molecular Tomography Using Variable Splitting and Alternating Direction Scheme 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2018, 卷号: 20, 期号: 1, 页码: 37-46
Authors:  Ye, Jinzuo;  Du, Yang;  An, Yu;  Mao, Yamin;  Jiang, Shixin;  Shang, Wenting;  He, Kunshan;  Yang, Xin;  Wang, Kun;  Chi, Chongwei;  Tian, Jie
View  |  Adobe PDF(4197Kb)  |  Favorite  |  View/Download:94/28  |  Submit date:2018/01/02
Fluorescence Molecular Tomography  Reconstruction  Variable Splitting  Alternating Direction Scheme  In Vivo imagIng  
Reconstruction method for fluorescence molecular tomography based on L1-norm primal accelerated proximal gradient 期刊论文
Journal of Biomedical Optics, 2018, 卷号: 23, 期号: 8, 页码: 085002
Authors:  Yuhao Liu;  Shixin Jiang;  Jie Liu;  Yu An;  Guanglei Zhang;  Yuan Gao;  Wang K(王坤);  Jie Tian
View  |  Adobe PDF(4066Kb)  |  Favorite  |  View/Download:4/0  |  Submit date:2019/09/26
Fluorescence Molecular Tomography  Image-reconstruction  Diffuse Optical Tomography  
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
Adobe PDF(3239Kb)  |  Favorite  |  View/Download:73/19  |  Submit date:2017/07/18
Bioluminescence Tomography Reconstruction  Optical Molecular Imaging  Split Bregman Method  Surrogate Functions