Daniel B. Rowe, Ph.D. Assistant Professor Division of Biostatistics and Department of Biophysics Medical College of Wisconsin Send email to: Dr. Rowe's Biophysics Webpage Education B.S. Physics, Math Minor, 1992 University of California, Irvine, CA B.S. Statistics, 1993 University of California, Riverside, CA M.S. Statistics, 1995 University of California, Riverside, CA Ph.D. Statistics, (Imaging Conc.), 1998 University of California, Riverside, CA Postdoc. fMRI, 2001 California Institute of Technology, Pasadena, CA

Professor Rowe joined the Division of Biostatistics in the Summer of 2001. Dr. Rowe holds appointments in both the Department of Biophysics and in the Division of Biostatistics. He is also an Adjunct Assistant Professor of Mathematical Sciences at the University of Wisconsin – Milwaukee. He came to the Medical College of Wisconsin after being a postdoctoral scholar at Caltech researching and developing in the area of functional magnetic resonance imaging (fMRI).

Professor Rowe's diverse research interests lie in mathematical and statistical methods in the foundations of fMRI. These interests cover from MR signal acquisition in k-space of possibly irregularly sampled data using time/frequency Fourier and non-Fourier image reconstruction transform techniques to signal and noise properties for quantification of significant hemodynamic responses using complex-valued fMRI data, to significance levels in thresholded activation maps.

Selected Recent Publications
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Nencka, A.S. and Rowe, D.B. (2006). Reducing the Unwanted Draining Vein BOLD Contribution in fMRI with Statistical Post-Processing Methods. (Submitted).

Grether, D.M., Plott, C.R., Rowe, D.B., Sereno, M.I., and Allman, J.M. (2006). For a Few Dollars More: An fMRI Study of Selling in Auctions Experimental Economics, In Press.

Rowe, D.B., Meller, C.P., and Hoffmann, R.G. (2006). Characterizing Phase-Only fMRI Data with an Angular Regression Model. Journal of Neuroscience Methods, In Press.

Rowe, D.B., Nencka, A.S., and Hoffmann, R.G. (2006). Signal and Noise of Fourier Reconstructed fMRI Data. Journal of Neuroscience Methods. doi:10.1016/j.jneumeth.2006.07.022

Rowe, D.B. and Hoffmann, R.G. (2006). Multivariate Statistical Analysis in fMRI. IEEE Engineering in Medicine and Biology, 25, pp. 60-64.

Rowe, D.B. (2005). Modeling Both the Magnitude and Phase of Complex-Valued fMRI Data. NeuroImage, 25, pp. 1310-1324.

Rowe, D.B. (2005). Parameter Estimation in the Magnitude-Only and Complex-Valued fMRI Data Models. NeuroImage, 25, pp. 1124-1132.

Rowe, D.B., Logan, B.R. (2005). Complex fMRI Analysis with Unrestricted Phase is Equivalent to a Magnitude-Only Model. NeuroImage, 24, pp. 603-606.

Rowe, D.B., Logan, B.R. (2004). A Complex Way to Compute fMRI Activation. NeuroImage, 23, pp. 1078-1092.

Logan B.R., Rowe, D.B. (2004). An Evaluation of Thresholding Techniques in fMRI Analysis. NeuroImage, 22, 95-108.

Rowe, D.B. (2003). Significant fMRI Neurologic Synchrony Using Monte Carlo Methods. Monte Carlo Methods and Applications, 9, 367-385.

Bennett, K.M., Schmainda, K.M., Bennett, R., Rowe, D.B., Lu, H., and Hyde, J.S. (2003). Characterization of Continuously Distributed Cortical Water Diffusion Rates with a Stretched-Exponential Model. Magnetic Resonance in Medicine 50, 727-734.

Recent Books

Rowe, D.B. (2003). Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing. CRC Press, Boca Raton, FL, USA. ISBN: 1584883189.