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 (26)

SPIE Journal Paper | 12 April 2024
Anton Orlichenko, Kuan-Jui Su, Hui Shen, Hong-Wen Deng, Yu-Ping Wang
JMI, Vol. 11, Issue 02, 024010, (April 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.2.024010
KEYWORDS: Scanners, Functional magnetic resonance imaging, Education and training, Independent component analysis, Brain, Matrices, Fluorescence correlation spectroscopy, Alzheimer disease, Neuroimaging, Emotion

Proceedings Article | 10 April 2023 Presentation + Paper
Proceedings Volume 12468, 1246812 (2023) https://doi.org/10.1117/12.2654311
KEYWORDS: Functional magnetic resonance imaging, Feature selection, Data modeling, Principal component analysis, Visualization, Genomics, Open source software, Software, Software development

SPIE Journal Paper | 19 July 2022
Chen Zhao, Haipeng Tang, Daniel McGonigle, Zhuo He, Chaoyang Zhang, Yu-Ping Wang, Hong-Wen Deng, Robert Bober, Weihua Zhou
JMI, Vol. 9, Issue 04, 044002, (July 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.4.044002
KEYWORDS: Image segmentation, Arteries, Independent component analysis, Angiography, Surface plasmons, Performance modeling, Convolution, Detection and tracking algorithms, Binary data, Data modeling

Proceedings Article | 4 April 2022 Poster + Paper
Beenish Patel, Anton Orlichenko, Yu-Ping Wang
Proceedings Volume 12036, 120361W (2022) https://doi.org/10.1117/12.2611190
KEYWORDS: Functional magnetic resonance imaging, Brain, Data modeling, Neuroimaging, Neural networks, Performance modeling, Network architectures, Blood, Mode conditioning cables, Convolutional neural networks

Proceedings Article | 4 April 2022 Presentation + Paper
Proceedings Volume 12036, 1203612 (2022) https://doi.org/10.1117/12.2613172
KEYWORDS: Functional magnetic resonance imaging, Brain, Data modeling, Neuroimaging, Neural networks

Showing 5 of 26 publications
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