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Chang Liu
Henry Ford Hospital
Detroit, Michigan

Chang Liu obtained his PhD in computer science from Wayne State University (Detroit, MI) in 2011, and his BS and MS in engineering from Huazhong University of Science and Technology (China) in 2003 and 2005, respectively.

He is currently serving as a radiation computer systems specialist at Henry Ford Hospital (Detroit, MI). As a specialist, he is continuously working to improve medicine and healthcare by creating more efficient and effective diagnosis tools and treatment procedures using state-of-the-art computer technologies. He was a major developer in the virtual colonoscopy project supported by GE (five groups worldwide were selectively invited to participate), and is leading a project supported by Varian regarding real delivered dose estimation during adaptive radiation therapy for prostate patients, which is one of the most challenging problems in radiation oncology. His main research interests include: computer animation, graphical user interfaces, visualization, 3D reconstruction, image segmentation, image registration, and machine learning. His publications and conference activities are mostly with the IEEE. He is also an active participant in the ACM and the AAPM.

Besides the interests mentioned above, he is enthusiastic about object-oriented programing (OOP). He has been working with C++ for more than 10 years, and is also fluent in MATLAB, Python, and C#. His teaching experience includes discrete math and OOP.

He has been a reviewer for Computing Reviews since 2012.

	Reviews by Chang Liu

	A survey of virtual sample generation technology for face recognition Li L., Peng Y., Qiu G., Sun Z., Liu S. Artificial Intelligence Review 50(1): 1-20, 2018. Type: Article Just as the authors state that “virtual sample generation technology belongs to the category of machine learning,” nobody ever has enough real data to train a face recognition model, and they need synthesized data. ...

	Shape classification using spectral graph wavelets Masoumi M., Hamza A. Applied Intelligence 47(4): 1256-1269, 2017. Type: Article Spectral analysis on a triangle mesh gained its popularity in shape retrieval due to the success of shape-DNA, which is easy to compute yet can achieve an accuracy of over 90 percent in some tests. The idea of bringing wavelet transfor...

	A dimensionality reduction method based on structured sparse representation for face recognition Gu G., Hou Z., Chen C., Zhao Y. Artificial Intelligence Review 46(4): 431-443, 2016. Type: Article Face recognition (FR) is considered to be a typical machine learning problem. Among all FR algorithms, popular models include classical linear models such as eigen face, nonlinear models such as manifold learning, and sparse representa...

	Efficient 3D object segmentation from densely sampled light fields with applications to 3D reconstruction Yücer K., Sorkine-Hornung A., Wang O., Sorkine-Hornung O. ACM Transactions on Graphics (TOG) 35(3): 1-15, 2016. Type: Article To segment a static foreground object from a highly cluttered background in an image can be tricky. But how about using an image sequence? Is it true that the more images we have, the better we can do? This paper shows that a considera...

	Artificial intelligence and computer vision Lu H., Li Y., Springer International Publishing, New York, NY, 2016. 211 pp. Type: Book (978-3-319462-44-8) Artificial intelligence (AI) has continued to be a buzzword in recent years mainly due to the advances of deep learning techniques and the call from big data. The basic definition of AI requires the computer to see, to understand, and ...

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