Bruce I.P., Rowe D.B.: Quantifying the statistical impact of GRAPPA in fcMRI data with a real-valued isomorphism. IEEE Trans. Med. Imaging, 8 pages, accepted and online, 2014.
Karaman M.M., Bruce I.P., ROWE D.B.: A statistical fMRI model for differential T2* contrast incorporating T1 and T2* of gray matter. Magn. Reson. Imaging, 32(1):9-27, 2014.
Adrian D.W., Maitra R., Rowe D.B.: Ricean versus Gaussian modelling in magnitude fMRI analysis – Added complexity with few practical benefits. Stat, 2(1):303-316, 2013.
Hahn, A. D., Nencka, A. S., Rowe, D. B.: Enhancing the Utility of Complex-Valued Functional Magnetic Resonance Imaging Detection of Neurobiological Processes Through Postacquisition Estimation and Correction of Dynamic B0 Errors and Motion. In Human Brain Mapping 33(2): 288-306, 2012.
Hahn, A. D., Rowe, D. B.: Physiologic noise regression, motion regression, and TOAST dynamic field correction. In NeuroImage 59(3): 2231-2240, 2012.
The Department of Mathematics, Statistics and Computer Science hosted the NSF-funded Summer 2013 Research Experience (REU) for Undergraduates. This program provides U.S. undergraduates with an intensive, faculty-mentored, summer research experience in the areas of applied mathematics, high-performance computing, statistics, ubiquitous systems and mathematics education. Learn more