Prof. Yu-Ping Wang
Professor at Tulane Univ
SPIE Involvement:
Area of Expertise:
biomedical imaging , precision medicine , medical data analysis , bioinformatics , genomics , big data
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:
Publications (12)

SPIE Journal Paper | 11 April 2019
JMI Vol. 6 Issue 02
KEYWORDS: Brain, Simulation of CCA and DLA aggregates, Neuroimaging, Canonical correlation analysis, Genetics, Functional magnetic resonance imaging, Brain imaging, Visualization, Alzheimer's disease, Neurons

Proceedings Article | 15 March 2019
Proc. SPIE. 10953, Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging
KEYWORDS: Functional magnetic resonance imaging, Feature extraction, Data modeling, Brain, Genetics, Neuroimaging, Mental disorders, Control systems, Canonical correlation analysis

Proceedings Article | 15 March 2019
Proc. SPIE. 10949, Medical Imaging 2019: Image Processing
KEYWORDS: Functional magnetic resonance imaging, Independent component analysis, Brain, Statistical analysis, Neuroimaging, Biological research, Visualization, Data modeling

Proceedings Article | 15 March 2019
Proc. SPIE. 10954, Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications
KEYWORDS: Control systems, Data modeling, Brain, Functional magnetic resonance imaging, Data integration, Visualization, Statistical analysis, Mathematical modeling, Mental disorders, Neuroimaging

Proceedings Article | 6 March 2018
Proc. SPIE. 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications
KEYWORDS: Brain, Functional magnetic resonance imaging, Genetics, Canonical correlation analysis, Statistical analysis, Neuroimaging, Genomics, Biological research

Showing 5 of 12 publications
  • View contact details

Is this your profile? Update it now.
Don’t have a profile and want one?

Back to Top