黄美燕

姓名：黄美燕

职称：教授

联系邮箱：huangmeiyan88@smu.edu.com

v 学习经历

1. 2006.09-2010.06 南方医科大学，生物医学工程，学士

2. 2014.04-2015.04 美国北卡罗来纳大学教堂山分校，生物统计学系，访问学生，导师：冯前进教授和Prof. Hongtu Zhu

3. 2010.09-2015.06 南方医科大学，生物医学工程，博士，导师：冯前进教授

v 工作经历

2015.09-2024.07 南方医科大学生物医学工程学院医学信息所，副教授

2024.08至今 南方医科大学生物医学工程学院医学信息所，教授，副所长

v 研究方向

医学图像处理与机器学习在脑肝部疾病的预测建模

脑部与肝脏疾病因其高发病率和死亡率，已成为重大公共卫生挑战。疾病预测模型借助机器学习和人工智能从医学数据中挖掘有用信息，为重大疾病的早期识别、精准诊疗提供及时有效的依据和决策支持。本人针对脑肝部疾病预测领域的难点展开研究，构建了肝病数据智能分析与评估软件平台；发表了论文50余篇，包括本领域权威期刊IEEE Trans. Med. Imaging（IF：11.037）、Med. Image Anal.（IF：13.828）、医学权威期刊EClinicalMedicine（柳叶刀（Lancet）子刊，IF：17.033）等高水平杂志；主持国家自然科学基金面上、青年等项目7项；指导学生获得顶级会议“MICCAI2020甲状腺结节超声图像分割和分类竞赛（TN-SCUI2020）分类赛道”冠军、“粤港澳大湾区（黄埔）国际算法算例大赛”三等奖（奖金4万元）、“全国大学生生物医学工程创新设计竞赛”三等奖、“广东省大学生生物医学工程创新设计竞赛”三等奖等；并指导硕士研究生以第一作者发表一区论文12篇，6人次获国家奖学金奖励。

v 主要获奖情况（人才类奖项）

[1] “广东省特支计划”青年珠江学者

v 主要科研课题

[1] 国家自然科学基金面上项目，2023-2026，主持。

[2] 广东省自然科学基金面上项目，2024-2026，主持。

[3] 南医科技攀峰青年人才培养专项计划项目，2024，主持。

[4] 广东省自然科学基金面上项目，主持（已结题）。

[5] 广州市科技项目，主持（已结题）。

[6] 国家自然科学基金青年项目，主持（已结题）。

[7] 博士后面上基金，主持（已结题）。

v 代表性论文

[1] Tao Wang, Xiumei Chen, Jiawei Zhang, Qianjin Feng*, and Meiyan Huang*. Deep multimodality-disentangled association analysis network for imaging genetics in neurodegenerative diseases, Medical Image Analysis, 2023, 88, 102842. (IF: 10.9)

[2] Haoran Lai^#, Sirui Fu^#, Jie Zhang, Jianyun Cao, Qianjin Feng*, Ligong, Lu*, and Meiyan Huang*. Prior knowledge-aware fusion network for prediction of macrovascular invasion in hepatocellular carcinoma, IEEE Transactions on Medical Imaging, 2022, 41(10), 2644-2657. (IF: 10.6)

[3] Xiumei Chen, Tao Wang, Haoran Lai, Xiaoling Zhang, Qianjin Feng*, and Meiyan Huang*. Structure-constrained combination-based nonlinear association analysis between incomplete multimodal imaging and genetic data for biomarker detection of neurodegenerative diseases, Medical Image Analysis, 2022, 78, 102419. (IF: 10.9)

[4] Sirui Fu^#, Haoran Lai^#, Qiyang Li^#, Yao Liu, Jiawei Zhang, Jianwen Huang, Xiumei Chen, Chongyang Duan, Xiaoqun Li, Tao Wang, Xiaofeng He, Jianfeng Yan, Ligong Lu*, and Meiyan Huang*. Multi-task deep learning network to predict future macrovascular invasion in hepatocellular carcinoma, EClinicalMedicine, 2021, 42, 101201. (IF: 17.033)

[5] Meiyan Huang*, Xiumei Chen, Yuwei Yu, Haoran Lai, and Qianjin Feng*. Imaging genetics study based on a temporal group sparse regression and additive model for biomarker detection of Alzheimer’s disease, IEEE Transactions on Medical Imaging, 2021, 40(5), 1461-1473. (IF: 11.037)

[6] Meiyan Huang*, Haoran Lai, Yuwei Yu, Xiumei Chen, Tao Wang, and Qianjin Feng*. Deep-gated recurrent unit and diet network-based genome-wide association analysis for detecting the biomarkers of Alzheimer’s disease, Medical Image Analysis, 2021, 73, 102189. (IF: 13.828)

[7] Junzhang Huang, Xiongfeng Zhu, Ziyang Chen, Guoye Lin, Meiyan Huang*, and Qianjin Feng*. Pathological priors inspired network for vertebral osteophytes recognition, IEEE Transactions on Medical Imaging, 2024, 43(7), 2522-2536. (IF: 10.6)

[8] Jiawei Zhang^#, Jianyun Cao^#, Fan Tang^#, Tao Xie, Qianjin Feng, and Meiyan Huang*. Multi-level feature exploration and fusion network for prediction of IDH status in gliomas from MRI, IEEE Journal of Biomedical and Health Informatics, 2024, 28(1), 42-53. (IF: 7)

[9] Tao Wang, Xiumei Chen, Xiaoling Zhang, Shuoling Zhou, Qianjin Feng*, and Meiyan Huang*. Multi-view imputation and cross-attention network based on incomplete longitudinal and multimodal data for conversion prediction of mild cognitive impairment, Expert Systems with Applications, 2023, 231, 120761. (IF: 8.5)

[10] Lei Yang, Jiawei Zhang, Tao Wang, Qianjin Feng, Sirui Fu, and Meiyan Huang*. Multi-scale Camouflaged Feature Mining and Fusion Network for Liver Tumor Segmentation, Engineering Applications of Artificial Intelligence, 2025. (IF: 7.5)