基本介紹
- 中文名：王瑞軒
- 畢業院校：新加坡國立大學
- 學位/學歷：博士
- 職業：教師
- 職稱：副教授
研究領域,人物經歷,教育經歷,工作經歷,海外經歷,科研項目,學術兼職,教授課程,代表性論著,
研究領域
醫學圖像智慧型分析，深度學習，計算機視覺，模式識別
人物經歷
教育經歷
2002.07-2007.07, 新加坡國立大學計算機學院，博士，計算機視覺
1999.09-2002.07, 西安交通大學研究生院，碩士，模式識別與智慧型系統
1994.09-1999.07, 西安交通大學電信學院，本科，自動控制
工作經歷
2017.10至今, 中山大學數據科學與計算機學院，副教授
2016.05-2017.09, 英國鄧迪大學科學與工程學院，研究員
2015.01-2016.03, 歐洲東芝醫學圖像研發中心，科學家
2014.10-2015.01, 英國赫瑞瓦特大學， 副研究員
2007.08-2014.09, 英國鄧迪大學計算機學院，博士後研究員，教學助理
海外經歷
2016.05-2017.09, 英國鄧迪大學科學與工程學院，研究員
2015.01-2016.03, 歐洲東芝醫學影像研發中心，科學家
2014.10-2015.01, 英國赫瑞瓦特大學， 副研究員
2007.08-2014.09, 英國鄧迪大學計算機學院，博士後研究員，教學助理
2002.07-2007.07, 新加坡國立大學計算機學院，博士研究生
科研項目
1. (NEW) 精準醫學大數據挖掘與整合分析平台建設，廣東省重點領域研發計畫項目“精準醫學與幹細胞”專項，800萬，骨幹，2019-2021
2. (NEW) 健康醫療大數據下基於深度學習的異常檢測，廣州市科技計畫，20萬，主持，2019-2021
3. 基於中美對比和對接的重大慢病臨床研究數據標準及套用研究，國家重點研發計畫“重大慢性非傳染性疾病防空研究”重點專項，804萬，骨幹，2018-2020
4. Discovering retinal biomarkers for diabetes with Vampire，英國維康信託基金，16萬英鎊, 主研，2016-2017
5. Colonic Disease Investigation by Robot Hydro-colonoscopy (CODIR)，歐盟研究基金，300萬歐元, 主研，2011-2014.
6. Microscopic Image Analysis for Cell Biology, 英國三大科研聯合基金（醫學研究基金、工程和自然科學基金、生物技術和生物科學基金）， 12萬英鎊，主研, 2010-2011.
7. FABRIC: Fashion and Apparel Browsing for Inspirational Content, 英國技術戰略基金，92萬英鎊，主研，2007-2010.
學術兼職
程式委員會委員：BMVC 2011-2017, ICPR 2014
審稿人：Medical Image Analysis (MIA), IEEE Transactions on Image Processing (TIP), International Journal of Computer Vision (IJCV), Pattern Recognition (PR), IET Computer Vision, Machine Vision and Applications (MVA), Pattern Analysis and Applications (PAA), CVPR 2012-2014, ICCV 2013, ECCV 2012, etc.
教授課程
深度學習（人工神經網路原理與實驗），本科
代表性論著
1. 期刊論文：
[1]. Hongwei Li, Gongfa Jiang, Jianguo Zhang*, Ruixuan Wang*, Zhaolei Wang, Wei-shi Zheng, Bjoern Menze. Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images. NeuroImage, 2018.
[2]. Gareth J. McKay, Euan N. Paterson, Alexander P. Maxwell, Christopher C. Cardwell, Ruixuan Wang, Stephen Hogg, Thomas J. MacGillivray, Emanuele Trucco, Alexander S. Doney. Retinal microvascular parameters are not associated with reduced renal function in a study of individuals with type 2 diabetes. Scientific Report, 8:3931, 2018.
[3]. Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna*. An Automated Pattern Recognition System for Classifying Indirect Immunofluorescence Images of HEp-2 Cells and Specimens. Pattern Recognition (PR), 51, 12-26, 2016.
[4]. Ruixuan Wang*, Markus Pakleppa, Emanuele Trucco. Low Rank Prior in Single Patches for Non-pointwise Pulse Noise Removal. IEEE Transactions on Image Processing (TIP), 25(4), 1485-1496, 2015.
[5]. Wee Kheng Leow, Ruixuan Wang*, Hong Wai Leong. 3D-2D Spatiotemporal Registration for Sports Motion Analysis. Machine Vision and Applications (MVA), 23(6), 1177-1194, 2012.
[6].Ruixuan Wang, Himanshu Pokhariya, Stephen J. McKenna, John Lucocq*. Recognition of Immuno Gold Markers in Electron Micrographs. Journal of Structural Biology (JSB), 176(2), 151-158, 2011.
[7].Ruixuan Wang*, Stephen J. McKenna, Junwei Han. Visualizing Image Collections using High-Entropy Layout Distributions. IEEE Transaction on Multimedia (TMM), 12(18), 803-813, 2010.
2. 會議論文（部分）：
[1]. (NEW) Rong Zhang (碩士生), Shuhan Tan (本科生), Ruixuan Wang*, Siyamalan Manivannan, Jingjing Chen, Haotian Lin, Weishi Zheng. Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI, 醫學影像智慧型分析國際頂級會議), 2019.
[2]. (NEW) Feifei Xue (碩士生), Jin Peng (本科生), Ruixuan Wang*, Qiong Zhang, Weishi Zheng. Improving Robustness of Medical Image Diagnosis with Denoising Convolutional Neural Networks. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019.
[3]. (NEW) Zhiying Cui (碩士生), Longshi Wu (本科生), Ruixuan Wang*, Weishi Zheng. Ensemble Transductive Learning for Skin Lesion Segmentation. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2019.
[4]. (NEW) Jiaxin Zhuang (碩士生), Jiabin Cai (碩士生), Ruixuan Wang*, Jianguo Zhang, Weishi Zheng. CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data. International Conference on Medical Imaging with Deep Learning (MIDL, 醫學影像智慧型分析與深度學習結合的高標準國際會議), 2019.
[5]. Haocheng Shen*, Jianguo Zhang, Ruixuan Wang, Weishi Zheng, Stephen McKenna. Boundary-aware Fully Convolutional Network for Brain Tumor Segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2017.
[6]. Haocheng Shen*, Ruixuan Wang, Jianguo Zhang, Stephen McKenna. Multi-task Fully Convolutional Network for Brain Tumour Segmentation. Medical Image Understanding and Analysis (MIUA), 2017
[7]. Siyamalan Manivannan*, Ruixuan Wang, Emanuele Trucco. Hierarchical Mix-Pooling and its Applications to Biomedical Image Classification. International Symposium on Biomedical Imaging (ISBI), 2016.
[8]. Siyamalan Manivannan*, Ruixuan Wang, Emanuele Trucco. Inter-cluster Features for Medical Image Classification. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2014.
[9]. Ruixuan Wang*, Emanuele Trucco. Single-patch Low-rank Prior for Non-pointwise Impulse Noise Removal. IEEE International Conference on Computer Vision (ICCV), 2013.
[10]. Siyamalan Manivannan*, Ruixuan Wang, Emanuele Trucco, Adrian Hood. Automatic Normal-abnormal Video Frame Classification for Colonoscopy. International Symposium on Biomedical Imaging (ISBI), 2013.
[11]. Ruixuan Wang*, Stephen J. McKenna. Gaussian Process Learning from Order Relationships using Expectation Propagation. International Conference on Pattern Recognition (ICPR), 2010.
[12]. Junwei Han*, Stephen J. McKenna, Ruixuan Wang. Learning Query-Dependent Distance Metrics for Interactive Image Retrieval. International Conference on Vision Systems (ICVS), 2009.
[13]. Ruixuan Wang*, Stephen J. McKenna, and Junwei Han. High-Entropy Layouts for Content-based Browsing and Retrieval. ACM International Conference on Image and Video Retrieval (CIVR), 2009.
[14]. Junwei Han*, Stephen J. McKenna, Ruixuan Wang. Regular Texture Analysis as Statistical Model Selection. European Conference on Computer Vision (ECCV), 2008.
[15]. Ruixuan Wang*, Wee Kheng Leow, and Hong Wai Leong. 3D-2D Spatiotemporal Registration for Sports Motion Analysis. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
3. 發明專利：
[1]. Stephen J. McKenna, Ruixuan Wang, Annette Ward. System and Method for Arranging Items for Display. 中國專利CN102395963, 2014, 美國專利US9229939, 2016.
[2]. Wee Kheng Leow, Ruixuan Wang, C.-S. Mark Lee, Dongfeng Xing, and Hong Wai Leong. System and Method for 3D Human Motion Analysis from 2D Video. 國際專利（在申）PCT WO 2009/061283 A2, 2009.
