Professional Summary

Zhang Aitao is a lecturer at the School of Medical Imaging, Hebei Medical University, where she teaches Medical Artificial Intelligence, MATLAB, and Medical Image Processing to undergraduate students. She received her MS in Biomedical Engineering from Southern Medical University in 2011 and is currently pursuing a PhD in Biomedical Engineering at Beijing Institute of Technology.Her research focuses on medical signal and image processing.In teaching, she has led or participated in six provincial educational reform initiatives and co-authored the textbook Python Machine Learning: Techniques and Applications. She has also mentored students to win 2 national and over 10 provincial awards in innovation and computer design competitions.

Education

PhD in Biomedical Engineering

2015-09-01

Beijing Institute of Technology

MS in Biomedical Engineering

2008-09-01
2011-06-30

Southern Medical University

BS in Biomedical Engineering

2004-09-01
2008-06-30

Kunming University of Science and Technology

Interests

Machine Learning EEG Signal Processing
📚 My Research

Use this area to speak to your mission. I’m a research scientist in the Moonshot team at DeepMind. I blog about machine learning, deep learning, and moonshots.

I apply a range of qualitative and quantitative methods to comprehensively investigate the role of science and technology in the economy.

Please reach out to collaborate 😃

Featured Publications
基于小波自适应阈值的脑CT图像去噪研究 featured image

基于小波自适应阈值的脑CT图像去噪研究

提出一种小波自适应阈值算法,有效提升脑CT图像的峰值信噪比并保留细节.

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Recent Publications
(2025). 运动模糊图像PSF估计算法改进研究. 北京生物医学工程, 44(6).
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(2021). 基于小波自适应阈值的脑CT图像去噪研究. 河北师范大学学报(自然科学版), 45(1).
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(2021). 自适应非局部均值滤波与小波相结合的脑部CT去噪研究. 中国医疗设备, 36(12).
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(2020). 以学生为中心的医学图像处理课程设计实践教学研究. 中国教育技术装备, 45(4).
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(2014). 高刺激率条件下利用非局部平均算法提高听觉诱发电位信噪比. 航天医学与医学工程, 27(1).
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