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School of Medicine
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Main Office Address
Olin Neuropsychiatry Research Center
200 Retreat Ave.
Hartford, CT 6106
University of Kansas
Johns Hopkins University School of Medicine
Johns Hopkins University
University of Maryland, Baltimore Country
My emphasis is on developing and optimizing methods and software for quantitative analysis of structure and function in medical images with particular focus on the study of psychiatric illness. Primary areas of interest include functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), and structural imaging. To this end, I draw heavily from the areas of image processing, adaptive signal processing, estimation theory, neural networks, statistical signal processing, and pattern recognition.
V.D. Calhoun, T. Adali, V. McGinty, J.J. Pekar, T. Watson, and G.D. Pearlson, "FMRI Activation In A Visual-Perception Task: Network Of Areas Detected Using The General Linear Model And Independent Components Analysis," NeuroImage, vol. 14, pp. 1080-1088, 2001.
V.D. Calhoun, T. Adali, G.D. Pearlson, and J.J. Pekar, "Spatial and Temporal Independent Component Analysis of Functional MRI Data Containing a Pair of Task-Related Waveforms," Hum. Brain Map., vol. 13, pp. 43-53, 2001.
V.D. Calhoun, T. Adali, G.D. Pearlson, and J.J. Pekar, "A Method for Making Group Inferences From Functional MRI Data Using Independent Component Analysis," Hum. Brain Map., vol. 14, pp. 140-151, 2001.
V.D. Calhoun, T. Adali, G.D. Pearlson, P.C. van Zijl, and J.J. Pekar, "Independent Component Analysis of FMRI Data in the Complex Domain," Magn Reson. Med., vol. 48, pp. 180-192, 2002.
V.D. Calhoun, J.J. Pekar, V.B. McGinty, T. Adali, T.D. Watson, and G.D. Pearlson, "Different Activation Dynamics in Multiple Neural Systems During Simulated Driving," Hum. Brain Map., vol. 16, pp. 158-167, 2002.