Biomedical Applications of Digital Signal and Image Analysis
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Automated analysis of digital signals and images has been a valuable tool for many years. However, recent innovations in digital imaging sensors and systems have created a need for new approaches to the automated analysis of newly acquired images. Also, advances in pattern recognition have led to significant improvement in the accuracy of automated tissue classification. This seminar provides an overview of some of the recent research being conducted in this area. Recent research projects include digital flow cytometric analysis, analysis of confocal microendoscopic images, automated segmentation of brain and liver lesions, automated chromosome counting, and multivariate image contrast enhancement.

Prof. Rodriguez received a B.S. and a Ph.D. degree in Electrical Engineering at the University of Texas at Austin in 1984 and 1990, respectively, and a master’s degree in Electrical Engineering and Computer Science at the Massachusetts Institute of Technology in 1986. He has been a faculty member in the Dept. of Electrical & Computer Engineering at the University of Arizona since 1990 and is a faculty member in the Biomedical Engineering Interdisciplinary Program. In addition, he has been Co-Director of Connection One, a National Science Foundation industry/university cooperative research center since 2003. He is General Chair of the 2007 IEEE Intl. Conf. on Image Processing and has helped organize numerous other technical conferences. His research focus is digital signal and image processing and analysis, with applications in areas such as biomedicine, homeland security, telecommunications.