Pattern Recognition and Signal Analysis in Medical Imaging

Professor in the Department of Scientific Computing at Florida State University. Professor Meyer-Baese has a PhD in Electrical and Computer Engineering and has been active in the field of pattern recognition applied to bioengineering and systems biology problems both in teaching and research for the past twenty years. Her research has been sponsored by NIH, NSF and private foundations and she won many international and national research awards. She is author of over 200 journal and conference publications, and three books. Professor in the Bioimaging Group at the Department of Statistics, Ludwig-Maximilians-University, Munich. Professor Schmid has a PhD in Statistics and is an expert in Bayesian methods and spatial statistics for medical and microscopy imaging. Previously, he was a Postdoctoral Research Fellow at the Institute for Biomedical Engineering, Imperial College, London.

Foundations of Medical Imaging; Feature Selection and Extraction; Theory of Subband Decomposition and Wavelets; The Wavelet Transform in Medical Imaging; Genetic Algorithms; Statistical Pattern Recognition; Syntactic Pattern Recognition; Neural Networks; Theory; Neural Networks: Applications; Fuzzy Logic: Theory and Clustering Algorithms; Computer Aided Diagnosis Systems