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P. Thomas Fletcher, Ph.D., Imaging Technology
Dr. Fletcher's research is focused on creating novel methods at the intersection of statistics, mathematics, and computer science to solve problems in medical image analysis. He is currently collaborating with researchers in Autism and Alzheimer's disease at the University of Utah on the statistical analysis of combined imaging modalities, including structural MRI, DTI, fMRI and PET in longitudinal studies. A key component of this research is the statistical analysis of non-Euclidean data, such as anatomical shape or tensor data, that is typically derived from medical images.
Dr. Fletcher received his B.A. degree in Mathematics at the University of Virginia. He received an M.S. and Ph.D. in Computer Science from the University of North Carolina at Chapel Hill. After graduating, he joined the University of Utah first as a postdoctoral researcher and then research assistant professor in the School of Computing and Scientific Computing and Imaging Institute.
For more information on Dr. Fletcher, see his University of Utah homepage at http://www.sci.utah.edu/~fletcher/