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Guido Gerig Professor, USTAR Faculty www.sci.utah.edu/~gerig gerig@sci.utah.edu

Guido Gerig was recruited from the University of North Carolina at Chapel Hill to the University of Utah under the USTAR program. He received his Ph.D. in 1987 from the Swiss Federal Institute of Technology, ETH Zurich, Switzerland. Guido Gerig joined the faculty at UNC Chapel Hill as Taylor Grandy professor in August 1998 and with a joint appointment in the Departments of Computer Science and Psychiatry. In 2008, he accepted a new USTAR faculty position at the School of Computing and Scientific Computing and Imaging Institute (SCI) at the University of Utah, with adjunct appointments in Biomedical Engineering and Psychiatry. Guido Gerig began research in the area of medical image analysis in 1985 at ETH Zurich, Switzerland. Since then, he has led a large number of national and international projects with close multidisciplinary collaboration between medicine, engineering, statistics, industry, and computer science. He is the director of the UTAH Center for Neuroimage Analysis (UCNIA) and supports a number of clinical neuroimaging projects with new methodology for image processing, registration, atlas building, segmentation, shape analysis, and statistical analysis. Current key research topics are analysis and modeling of the early developing brain, longitudinal analysis of multi-shape complexes, and new methodologies for statistical analysis of white matter using diffusion tensor imaging. Method developments are driven by challenging clinical applications that include research in schizophrenia, autism, multiple sclerosis, infants at risk for mental illness and aging. New tools and methods are open source and are made available to public.

Publications Refereed Journals H.C. Hazlett, M.D. Poe, A.A. Lightbody, G. Gerig, J. R. MacFall, A. K. Ross, J. Provenzale, A. Martin, A. L. Reiss and J. Piven, “Teasing apart the heterogeneity of autism: Same behavior, different brains in toddlers with fragile X syndrome and autism,” Journal of Neurodevelopmental Disorders, Springer Verlag, Volume 1, Issue 1 (2009), Page 81 M. Prastawa, E. Bullitt, G. Gerig, “Simulation of brain tumors in MR images,” Medical Image Analysis 13 (2009), pp. 297-311, PMID: 19119055 MW Mosconi, HC Hazlett , MD Poe, G. Gerig, R. Gimpel-Smith, J. Piven. “A longitudinal study of amygdala volume and joint attention in 2-4 year old children with autism,” Arch Gen Psychiatry. 2009 May;66(5):509-16. PMID: 19414710 C. Goodlett, P. Thomas Fletcher, JH Gilmore, and G. Gerig, “Group Analysis of DTI Fiber Tract Statistics with Application to Neurodevelopment,” NeuroImage 45 (1) Supp. 1, 2009.p. S133-S142, PMID: 19059345, PMCID 2727755 W. Gao, Y. Chen, G. Gerig, JK Smith, V. Jewells, JH Gilmore, W Lin, “Temporal and Spatial Development of Axonal Maturation and Myelination of White Matter in the Developing Brain,” American Journal of Neuroradiology (AJNR) 30:290-296, 2009

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N. Mukherjee, C. Kang, H.M. Wolfe, B.S.Hertzberg, J.K. Smith, W. Lin, G. Gerig, RM Hamer, J.H. Gilmore, “Discordance of Prenatal and Neonatal Brain Development in Twins,” Early Hum Dev. 2009 Mar;85(3):171-5, PMID: 18804925 F. Zhang, ER. Hancock, C. Goodlett and G. Gerig, “Probabilistic White Matter Fiber Tracking using, Particle Filtering and von Mises-Fisher Sampling,” Med Image Anal. 2009 Feb;13(1):5-18, PMID: 18602332 J.H. Gilmore, C. Kang, D.D. Evans, H.M. Wolfe, JK Smith, J.A. Lieberman, W. Lin, RM Hamer, M Styner, G. Gerig, “Prenatal and Neonatal Brain Structure and White Matter Maturation in Children at High Risk for Schizophrenia,” Am J Psychiatry. 2010 Sep;167(9):1083-91. Epub 2010 Jun 1.PMID: 20516153 F. Shi, D. Shen, P.T. Yap, Y. Fan, J.Z. Cheng, H. An, LL Wald, G. Gerig, JH Gilmore, and W. Lin, “CENTS: Cortical Enhanced Neonatal Tissue SegmentationCENTS: Cortical Enhanced Neonatal Tissue Segmentation,” Human Brain Mapping HBM, in print J.H. Gilmore, J.E. Schmitt, R.C. Knickmeyer, J.K. Smith, W. Lin, M. Styner, G. Gerig, MC Neale, “Genetic and environmental contributions to neonatal brain structure: A twin study,” Hum Brain Mapp. 2010 31(8):1174-82.PMID: 20063301 M. El-Sayed, R. Steen, M.D. Poe, T.C. Bethea, G. Gerig, J. Lieberman, and L. Sikich, “Deficits in gray matter volume in psychotic youth with schizophrenia-spectrum disorders are not evident in psychotic youth with mood disorders,” J Psychiatry Neurosci. 2010 Jul;35(4):229-36.PMID: 20569649 K. Gorczowski, M. Styner, J.Y. Jeong, JS Marron, J. Piven, HC Hazlett, SM Pizer, G. Gerig, “Multi-object Analysis of Volume, Pose, and Shape using Statistical Discrimination,” IEEE Trans Pattern Anal Mach Intell. 2010 Apr;32(4):652-61 PMID: 2022412 Refereed Conference and Workshops S. Gouttard, M. Prastawa, E. Bullitt, C. Goodlett and G. Gerig, “Constrained Data Decomposition and Regression for Analyzing Healthy Aging from Fiber Tract Diffusion Properties,” Springer LNCS 5761, Proc. MICCAI’09, pp. 321-328, 2009 M. Datar, J. Cates, P. T. Fletcher, S. Gouttard, G. Gerig and R. Whitaker, “Particle Based Shape Regression of Open Surfaces with Applications to Developmental Neuroimaging,” Springer LNCS 5762, Proc. MICCAI’09, pp. 167-174, 2009 S. Durrleman, X. Pennec, A. Trouve, G. Gerig, N. Ayache, “Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets,” Springer LNCS 5761, Proc. MICCAI’09, pp. 297-302, 2009 F . Shi, P.T. Yap, Y. Fan, J.Z. Cheng, L.L. Wald, G. Gerig, W. Lin, D. Shen, “Cortical Enhanced Tissue Segmentation of Neonatal Brain MR Images Acquired by a

School of Computing 2009 & 2010 Report  

SoC 09 & 10 report

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