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Deep Learning Based Classification for Metastasis of Hepatocellular Carcinoma with Microscopic Images 会议论文
, San Diego, USA, 2019.2.16-2019.2.21
作者:  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(1743Kb)  |  收藏  |  浏览/下载：239/64  |  提交时间：2020/04/29
Hepatocellular Carcinoma Classification  Metastasis  Microscopic Imaging  Machine Learning  Convolutional Neural Networks (Cnn)  
Morphological Reconstruction of Fluorescence Molecular Tomography Based on Nonlocal Total Variation Regularization for Tracer Distribution in Glioma 会议论文
, San Francisco, USA, 2019.2.1-2019.2.6
作者:  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(2618Kb)  |  收藏  |  浏览/下载：234/81  |  提交时间：2020/04/29
Fluorescence Molecular Tomography  Nonlocal Total Variation  Morphological Reconstruction  
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
作者:  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
浏览  |  Adobe PDF(2830Kb)  |  收藏  |  浏览/下载：295/78  |  提交时间：2019/09/26
Nasopharyngeal Carcinoma  Tumour Hypoxia  Fluorescence Molecular Tomography  Multispectral Optoacoustic Tomography  
Improved generative adversarial networks using the total gradient loss for the resolution enhancement of fluorescence images 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2019, 卷号: 10, 期号: 9, 页码: 4742-4756
作者:  Zhang, Chong;  Wang, Kun;  An, Yu;  He, Kunshan;  Tong, Tong;  Tian, Jie
浏览  |  Adobe PDF(4570Kb)  |  收藏  |  浏览/下载：276/80  |  提交时间：2019/09/26
Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography 期刊论文
IEEE Transactions on Medical Imaging, 2019, 卷号: 38, 期号: 12, 页码: 2726-2734
作者:  Hui Meng;  Kun Wang;  Yuan Gao;  Yushen Jin;  Xibo Ma;  Jie Tian
浏览  |  Adobe PDF(2085Kb)  |  收藏  |  浏览/下载：299/76  |  提交时间：2019/09/26
Fluorescence Tomography  Multi-modality Fusion  Brain  
Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study 期刊论文
GUT, 2019, 卷号: 68, 期号: 4, 页码: 729-741
作者:  Wang, Kun;  Lu, Xue;  Zhou, Hui;  Gao, Yongyan;  Zheng, Jian;  Tong, Minghui;  Wu, Changjun;  Liu, Changzhu;  Huang, Liping;  Jiang, Tian'an;  Meng, Fankun;  Lu, Yongping;  Ai, Hong;  Xie, Xiao-Yan;  Yin, Li-Ping;  Liang, Ping;  Tian, Jie;  Zheng, Rongqin
浏览  |  Adobe PDF(4798Kb)  |  收藏  |  浏览/下载：346/79  |  提交时间：2019/09/26
Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 2, 页码: 889-897
作者:  Fan, Li;  Fang, MengJie;  Li, ZhaoBin;  Tu, WenTing;  Wang, ShengPing;  Chen, WuFei;  Tian, Jie;  Dong, Di;  Liu, ShiYuan
Adobe PDF(1323Kb)  |  收藏  |  浏览/下载：342/32  |  提交时间：2019/07/12
Lung  Adenocarcinoma  Tomography  x-ray computed  Computational biology  Solitary pulmonary nodule  
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
作者:  Jiang, Shixin;  Liu, Jie;  Zhang, Guanglei;  An, Yu;  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(5641Kb)  |  收藏  |  浏览/下载：530/123  |  提交时间：2019/07/11
Fluorescence molecular tomography  image reconstruction  fused LASSO method  group sparsity  
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
作者:  高源
Adobe PDF(7003Kb)  |  收藏  |  浏览/下载：275/7  |  提交时间：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  
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
作者:  Huang C(黄超);  Meng Hui;  Yuan Gao;  Shixin Jiang;  Kun Wang;  Jie Tian
浏览  |  Adobe PDF(587Kb)  |  收藏  |  浏览/下载：366/147  |  提交时间：2019/04/29
Fluorescence Molecular Tomography, Ill-poseness, Deep Convolution Neural Network, Reconstruction.