Karaman, M.M., Nencka, A.S., Bruce, I.P., Rowe, D. B., Quantification of the Statistical Effects of Spatiotemporal Processing of Non-Task fMRI Data. Brain Connectivity, 4(7):, 2014.
Bruce, I.P., Rowe, D. B., Quantifying the Statistical Impact of GRAPPA in fcMRI Data with a Real-Valued Isomorphism. IEEE Trans. Med. Imaging, 33(2):495-503, 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.
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