黄美燕

姓名：黄美燕

职称：副教授

联系邮箱：huangmeiyan16@163.com

学习经历（学士、硕士、博士）：

2006.09-2010.06 南方医科大学，生物医学工程，学士

2010.09-2015.06 南方医科大学，生物医学工程，博士

工作经历：

2015.09至今 南方医科大学生物医学工程学院医学信息所，副教授

研究方向：

医学图像处理与模式识别

主要科研课题：

国家自然科学基金青年项目，“阿尔兹海默症影像与基因数据关联分析新方法研究”（项目编号81601562），直接费用18万

代表性论文：

[1] M. Huang, W. Yang, Q. Feng*, and W. Chen. “Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease”, Scientific Reports, 2017, doi: 10.1038/srep39880. (SCI)

[2] M. Huang, W. Yang, J. Jiang, Y. Wu, Y. Zhang, W. Chen, and Q. Feng*. “Brain extraction based on locally linear representation-based classification”, NeuroImage, 2014, 92(15), 322-339. (SCI，一区)

[3] M. Huang, T. Nichols, C. Huang, Y. Yang, Z. Lu, R. Knickmeyer, Q. Feng*, and H. Zhu*. “Fast Voxelwise Genome Wide Association Analysis of Large-scale Imaging Genetic Data”, NeuroImage, 2015, 118, 613-627. (SCI，一区)

[4] M. Huang, W. Yang, Y. Wu, J. Jiang, W. Chen, and Q. Feng*. "Brain Tumor Segmentation Based on Local Independent Projection-based Classification", IEEE Transactions on Biomedical Enginerring, 2014, 61 (10), 2633-2645. (SCI)

[5] M. Huang, W. Yang, Y. Wu, J. Jiang, Y. Gao, Y. Chen, Q. Feng*, W. Chen, and Z. Lu. "Content-Based Image Retrieval Using Spatial Layout Information in Brain Tumor T1-Weighted Contrast-Enhanced MR Images", PLOS ONE, July 16, 2014, DOI: 10.1371/journal.pone.0102754. (SCI)

[6] M. Huang, W. Yang, M. Yu, Z. Lu, Q. Feng*, and W. Chen. “Retrieval of Brain Tumors with Region-specific Bag-of-Visual-Words Representations in Contrast-enhanced MRI Images”, Computational and Mathematical Methods in Medicine, 2012, doi: 10.1155/2012/280538. (SCI)

[7] J. Cheng, W. Yang, W. Huang, J. Jiang, Y. Zhou, M. Huang, R. Yang, J. Zhao, Y. Feng, Q. Feng*, “Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector Representation”, PLOS ONE, 2016, 11 (6), doi:  10.1371/journal.pone.0157112. (SCI)

[8] Y. Wu, W. Yang, L. Lu, Z. Lu, L. Zhong, M. Huang, Y. Feng, Q. Feng*, W. Chen, “Prediction of CT Substitutes from MR Images Based on Local Diffeomorphic Mapping for Brain PET Attenuation Correction”, Journal of Nuclear Medicine,  2016, 57, 1635~1641. (SCI)

[9] J. Jiang, H. Wu, M. Huang, Y. Wu, Q. Wang, J. Zhao, W. Yang, W. Chen , Q. Feng*, “Variability of Gross Tumor Volume in Nasopharyngeal Carcinoma using 11C-Choline and 18F-FDG PET/CT”, PLOS ONE, 2015, DOI: 10.1371/journal.pone.0131801. (SCI)

[10] Y. Wu, G. Liu, M. Huang, J. Jiang, W. Yang, W. Chen, Q. Feng*, “Prostate segmentation based on variant scale patch and local independent projection”, IEEE Transactions on Medical Imaging, 2014, 33 (6), 1290–1303. (SCI)

[11] J. Jiang, Y. Wu, M. Huang, W. Yang, W. Chen, and Q. Feng*. “3D Brain Tumor Segmentation in Multimodal MR Images based on Learning Population- and Patient-specific Feature Sets”, Computerized Medical Imaging and Graphics, 2013, 37 (7-8), 512-521.

[12] W. Yang, Z. Lu, M. Yu, M. Huang, Q. Feng*, W. Chen. “Content-Based Retrieval of Focal Liver Lesions Using Bag-of-Visual-Words Representations of Single- and Multiphase Contrast-Enhanced CT Images”, Journal of Digital Imaging, 2012, 25 (6), 708-719.