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A Peer-to-Peer Distributed Bisecting K-means 会议论文
, 线上, 2022-2-19
作者:  Gao HY(高浩元)
Adobe PDF(4307Kb)  |  收藏  |  浏览/下载：209/60  |  提交时间：2022/06/17
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：261/73  |  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：256/86  |  提交时间：2020/04/29
Fluorescence Molecular Tomography  Nonlocal Total Variation  Morphological Reconstruction  
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：390/154  |  提交时间：2019/04/29
Fluorescence Molecular Tomography, Ill-poseness, Deep Convolution Neural Network, Reconstruction.  
Bioluminescence Tomography Based on Bilateral Weight Laplace method for In vivo Morphological Imaging of Glioma 会议论文
, San Francisco, USA, 2019.02.01
作者:  Gao, Yuan;  Wang, Kun;  Meng, Hui;  An, Yu;  Jiang, Shixin;  Tian, Jie
浏览  |  Adobe PDF(868Kb)  |  收藏  |  浏览/下载：320/61  |  提交时间：2019/04/29
A Novel Approach to Generating an Interval Type-2 Fuzzy Neural Network Based on a Well-Behaving Type-1 Fuzzy TSK System 会议论文
, Budapest, Hungary, Oct. 9-12
作者:  Gao, Junlong;  Yuan, Ruyi;  Yi, Jianqiang;  Ying, Hao;  Li, Chengdong
浏览  |  Adobe PDF(758Kb)  |  收藏  |  浏览/下载：465/144  |  提交时间：2017/05/09
Fuzzy Logic System  Type Transition  Fuzzy Set Mergence  Interval Type-2 Fuzzy Neural Network  Adaptive Steepest Decent Algorithm