黄亚丽，博士，讲师。2015年6月博士毕业于北京理工大学电子科学与技术专业，同年12月进入河北大学物理科学与技术学院光学工程博士后流动工作站，合作导师：王培光教授。2016.12-2018.2赴美国范德宝大学访学，进修磁共振脑影像处理及应用。
研究方向：医学图像处理方法的研究及应用、磁共振影像处理、脑科学。主持河北省教育厅青年基金1项。讲授课程《数字电路》。
已发表主要学术论文及著作列表如下：
[1] Yali Huang, S.K. Bailey, P. Wang, L.E.Cutting, J.C. Gore, Zhaohua Ding, Voxel-wise detection of functional networksin white matter[J], NeuroImage, 183 (2018) 544-552. (IF: 5.8)
[2] Zhaohua Ding, Yali Huang, S.K. Bailey, Y.Gao, L.E. Cutting, B.P. Rogers, A.T. Newton, J.C. Gore, Detection ofsynchronous brain activity in white matter tracts at rest and under functionalloading[J], Proceedings of the National Academy of Sciences, 115 (2018)595-600. (IF:9.5)
[3] Yali Huang, Lei Hao, H. Li, Z. Liu, P. Wang,Quantitative Analysis of Intracellular Motility Based on Optical Flow Model[J],Journal of healthcare engineering, 2017.
[4] Lei Hao, Yali Huang, Y. Gao, X. Chen, P.Wang, Nonrigid Registration of Prostate Diffusion-Weighted MRI[J], Journal ofhealthcare engineering, 2017.
[5] Yali Huang, Zhiwen Liu, Yonggang Shi.Quantitative analysis of live lymphocytes morphology and intracellular motionin microscopic images [J]. Biomedical Signal Processing and Control, 2015, 18:195-203.
[6]Yali Huang, Zhiwen Liu. Segmentation andTracking of Lymphocytes Based on Modified Active Contour Models in PhaseContrast Microscopy Images [J]. Computational and Mathematical Methods inMedicine, 2015, Article ID 693484.
[7] Heng Li, ZhiwenL iu, Yali Huang, et al.Quaternion generic Fourier descriptor for color object recognition [J]. PatternRecognition, 2015, 48(12): 3895-3903.
[8] Yali Huang, Zhiwen Liu, Yonggang Shi, et.al.Quantitative Analysis of Lymphocytes Morphology and Motion in IntravitalMicroscopic Images [C]. the 35th Annual International Conference of the IEEEEngineering in Medicine and Biology Society, Oska, Japan, 2013, 3686-3689. (EI)
[9] 黄亚丽, 刘志文, 赵真. 多尺度Retinex模型的肝脏超声图像增强算法[J]. 数据采集与处理, 2013, 28(5): 597-601.
[10] Yali Huang, Yuehua Gao, Hong Wang, et. al.Enhancement of Ultrasonic Image Based on the Multi-Scale Retinex Theory. RecentAdvances in Computer Science and Information Engineering [J]. Lecture Notes inElectrical Engineering, 2012, 128:115-120. (EI).
[11] Yali Huang, Xiaoxia Han, Xiuli Tian, et.al. Texture analysis of ultrasonic liver images based on spatial domain methods[C]. IEEE International Congress on Image and Signal Processing. Shandong,China, 2010, 2:562 - 565. (EI).
[12] Yali Huang, Xiaojun Zhao, Qingshun Zhang,et al. Texture analysis of ultrasonic image based on wavelet packet denoising andfeature extraction. in Proceedings of the 3rd International Conference onBioinformatics and Biomedical Engineering, 2009, pp. 1943-1948.
[13] Yali Huang, Lanxun Wang, and Caixia Li.Texture analysis of ultrasonic liver image based on wavelet transform andProbabilistic Neural Network. in Proceedings of the International Conference onBiomedical Engineering and Informatics, 2008, pp. 248-252.
[14] 张锁良，陈雷，黄亚丽，唐予军等.《数字电子技术基础》[M]. 北京邮电大学出版社，2011.
[15] 黄亚丽, 李芬华, 张瑞波. 基于小波变换的脂肪肝B超图像识别 [J]. 中国医学影像技术, 11):136-138, 2005.
[16] 黄亚丽, 李芬华, 赵真. B超肝脏图像纹理特征提取方法的实验研究 [J]. 中国医学影像技术, 12):1937-1939, 2004.