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周梅

通信与电子工程学院      

个人资料

  • 部门: 通信与电子工程学院
  • 毕业院校: 天津大学
  • 学位: 博士
  • 学历: 研究生
  • 邮编: 200241
  • 联系电话: 021-54345163
  • 传真: /
  • 电子邮箱: mzhou@ce.ecnu.edu.cn
  • 办公地址: 闵行校区信息楼234
  • 通讯地址: 上海市闵行区东川路500号

教育经历

博士天津大学,生物医学工程专业

本科:中国矿业大学,生物医学工程专业


工作经历

2014年7月—至今,华东师范大学通信工程系

个人简介

社会兼职

担任IEEE Access 》、《Infrared Physics and Technology《IEEE Transactions on Image Processing 》、《ACM Transactions on Intelligent Systems and Technology》、《Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy》、《Review of Scientific Instruments》等期刊审稿人。


研究方向

生物医学信号检测与信息处理,具体包括:组织高光谱成像与数据智能分析,无创生理、病理信息检测与分析。


招生与培养

开授课程

本科生课程:《信号与系统》、《编程与实践》

研究生课程:《信号检测与估计》

科研项目

1、国家自然科学基金-青年科学基金项目(61901173基于高光谱图像淋巴瘤血细胞属性特征提取与自动识别研究(2020.01-2022.12),项目负责人。

2、上海市科委扬帆计划项目(18YF1407400):基于高光谱成像的活体肿瘤定量化与可视化研究(2018.05-2021.04),项目负责人。

3、闵行区产学研合作项目:多通道头戴式儿童脑血氧监测系统(2017.12-2019.09),项目负责人。

4、上海市多维度信息处理重点实验室开放课题:基于超光谱成像技术的活体肿瘤血管特性分析(2015.07-2017.06),项目负责人。

5、横向项目:高分五号卫星可见短波红外高光谱相机数据处理技术服务(2018.04-2019.12),项目负责人。





学术成果

部分期刊论文:

[1] Xueqi Hu, Jiahua Ou, Mei Zhou, Menghan Hu, Li Sun, Song Qiu, Qingli Li*, Junhao Chu, Spatial-spectral identification of abnormal leukocytes based on microscopic hyperspectral imaging technology, Journal of Innovative Optical Health Sciences, 2020, 13(2): 2050005

[2] Qian Wang, Qingli Li*, Mei Zhou, Li Sun, Song Qiu, Yingting Wang, Melanoma and Melanocyte Identification from Hyperspectral Pathology Images Using Object-Based Multiscale Analysis, Applied Spectroscopy, 2018, 72(10): 1538-1547

[3] Kai Jin#, Mei Zhou#, Shaoze Wang, Lixia Lou, Yufeng Xu, Juan Ye*, Dahong Qian*, Computer-aided diagnosis based on enhancement of degraded fundus photographs, Acta ophthalmologica, 2018, 96(3): E320-E326

[4] Mei Zhou#, Kai Jin#, Shaoze Wang, Juan Ye, Dahong Qian*, Color Retinal Image Enhancement Based on Luminosity and Contrast Adjustment, IEEE Transactions on Biomedical Engineering, 2018, 65(3): 521-527

[5] Jun Wang, Guoqing Wang*, Mei Zhou, Bimodal Vein Data Mining via Cross-Selected-Domain Knowledge Transfer, IEEE Transactions on Information Forensics and Security, 2018, 13(3): 733-744

[6] Xi Liu#, Mei Zhou#, Song Qiu, Li Sun, Hongying Liu, Qingli Li*, Yiting Wang, Adaptive and Automatic Red Blood Cell Counting Method Based on Microscopic Hyperspectral Imaging Technology, Journal of Optics, 2017, 19(12): 124014

[7] Qian Wang, Qingli Li*, Mei Zhou, Zhen Sun, Hongying Liu, Yingting Wang, A hyperspectral vessel image registration method for blood oxygenation mapping, PLoS One, 2017, 12(6): e0178499

[8] Qian Wang, Jianbiao Wang, Mei Zhou, Qingli Li*, Yingting Wang, Spectral-spatial feature-based neural network method for acute lymphoblastic leukemia cell identification via microscopic hyperspectral imaging technology, Biomedical Optical Express, 2017, 8(6): 3017-3028

[9] Yao Peng, Gang Li, Mei Zhou, Huaile Wang, Ling Lin*, Dynamic spectrum extraction method based on independent component analysis combined dual-tree complex wavelet transform, RSC Advances, 2017, 7(18): 11198-11205

[10] Zhe Li, Mei Zhou, Yongshun Luo, Gang Li, Ling Lin*, Quantitative determination based on the differences between spectra temperature relationships, Talanta, 2016, 155: 47-52

[11] Ling Lin*, Qirui Zhang, Mei Zhou, Sijia Xu, Gang Li, Calibration set selection method based on the M plus N theory: application to non-invasive measurement by dynamic spectrum, RSC Advances, 2016, 6(114): 113322-113326

[12] Qian Wang, Li Chang, Mei Zhou, Qingli Li*, Hongying Liu, Fangmin Guo, A spectral and morphologic method for white blood cell classification, Optics and Laser Technology, 2016, 84: 144-148

[13] Mei Zhou#, Qingli Li*, Gang Li, Ling Lin, Coding Method for the Study of Instrinsic Mechanism of Spectral Analysis, Analytical Methods, 2015, 7(9): 3988-3992

[14] Qingli Li*, Mei Zhou, Hongying Liu, Yiting Wang, Fangmin Guo, Red Blood Cell Count Automation Using Microscopic Hyperspectral Imaging Technology, Applied Spectroscopy, 2015, 69(12): 1372-1380

[15] Gang Li, Longfei Zhao, Mei Zhou, Mengjun Wang, Ling Lin*, Improved Method on Image Detection at Low Light Level Using a Sinusoidal-shaped-function Signal, Journal of Modern Optics, 2015, 62(18): 1527-1534

授权发明专利:

[1] 周梅, 严斯能, 刘茜, 林维维, 刘洪英, 李庆利, 一种基于波段扫描形式的活体高光谱序列图像并行配准方法, 2018.09.28, 2016.07.15, 中国, ZL201610555827.8

[2] 周梅,刘茜,李庆利,刘洪英,邱崧,一种基于高光谱成像的粘连红细胞自动计数方法, 2019.05.17, 2017.02.13, 中国,ZL201710076460.6


荣誉及奖励

10 访问

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