Prof. Yu-Ping Wang
Professor at Tulane Univ
SPIE Involvement:
Author
Area of Expertise:
biomedical imaging , precision medicine , medical data analysis , bioinformatics , genomics , big data
Websites:
Profile Summary

Dr. Yu-Ping Wang received the BS degree in applied mathematics from Tianjin University, China, in 1990, and the MS degree in computational mathematics and the PhD degree in communications and electronic systems from Xi’an Jiaotong University, China, in 1993 and 1996, respectively. After his graduation, he had visiting positions at the Center for Wavelets, Approximation and Information Processing of the National University of Singapore and Washington University Medical School in St. Louis. From 2000 to 2003, he worked as a senior research engineer at Perceptive Scientific Instruments, Inc., and then Advanced Digital Imaging Research, LLC, Houston, Texas. In the fall of 2003, he returned to academia as an assistant professor of computer science and electrical engineering at the University of Missouri-Kansas City. He is currently a Professor of Biomedical Engineering and Global Biostatistics & Data Sciences at Tulane University School of Science and Engineering & School of Public Health and Tropical Medicine. He is also a member of Tulane Center of Bioinformatics and Genomics, Tulane Cancer Center and Tulane Neuroscience Program. His research interests have been computer vision, signal processing and machine learning with applications to biomedical imaging and bioinformatics, where he has over 200 peer reviewed publications. He has served on numerous program committees and NSF/NIH review panels, and served as editors for several journals such as J. Neuroscience Methods, IEEE Trans. Medical Imaging and IEEE/ACM Trans. Computational Biology and Bioinformatics. For more details, check his website: www.tulane.edu/~wyp
Publications (21)

Proceedings Article | 10 March 2020 Paper
Proc. SPIE. 11313, Medical Imaging 2020: Image Processing
KEYWORDS: Independent component analysis, Data modeling, Matrices, Genetics, Neuroimaging, Technetium, Samarium, Functional magnetic resonance imaging, Network security, Brain

Proceedings Article | 2 March 2020 Paper
Proc. SPIE. 11318, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications
KEYWORDS: Independent component analysis, Statistical analysis, Control systems, Neuroimaging, Statistical modeling, Systems modeling, Functional magnetic resonance imaging, Network security, Mental disorders, Brain

Proceedings Article | 2 March 2020 Presentation + Paper
Proc. SPIE. 11318, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications
KEYWORDS: Data modeling, Visualization, Control systems, Feature extraction, Genetics, Neuroimaging, Data integration, Functional magnetic resonance imaging, Simulation of CCA and DLA aggregates, Mental disorders, Brain

Proceedings Article | 28 February 2020 Paper
Proc. SPIE. 11317, Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging
KEYWORDS: Edge detection, Statistical analysis, Data modeling, Control systems, Biological research, Neuroimaging, Data centers, Functional magnetic resonance imaging, Mental disorders, Brain

Proceedings Article | 28 February 2020 Presentation + Paper
Proc. SPIE. 11317, Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging
KEYWORDS: Statistical analysis, Convolutional neural networks, Data modeling, Visualization, Medical imaging, Convolution, Neuroimaging, Performance modeling, Functional magnetic resonance imaging, Brain

Showing 5 of 21 publications
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