Guido Gerig Taylor Grandy Professor of Computer Science and Psychiatry Department of Computer Science University of North Carolina at Chapel Hill Tel: (919) 962 1919, administration (919) 962 1768 Fax: (919) 962 1799 Pager: (929) 216 2715 E-mail: gerig at cs.unc.edu

Education

• 1981 Swiss Federal Institute of Technology ETH, Diploma in Life Sciences, Title: "Dipl. natw. ETH" (MSc degree)
• 1987 Swiss Federal Institute of Technology ETH, Ph.D. in Electrical Engineering, Title: "Dr. sc. techn. ETH"
• 1993 Swiss Federal Institute of Technology ETH, Habilitation, Venia Legendi for Multimodal Image Analysis, Title: "Privatdozent" (lecturer)
• 1993 Swiss Federal Institute of Technology ETH, Assistant Professor for Image Data Analysis BIWI
• 1998 UNC Chapel Hill, Taylor Grandy Professor of Computer Science and Psychiatry (UNC-CS) / (UNC-Psychiatry) .

Research interests [see research page]

• development of image analysis techniques driven by challenging applications in medical image analysis
• segmentation and object modeling of structures extracted from 3-D image data and 3-D time series Interactive 3D Segmentation
• shape-based 3-D object representation and shape analysis Statistical Shapes
• shape analysis of brain structures for studying neurodevelopmental and neurodegenerative changes of the human brain in diseases like schizophrenia, depression, autism and fragile-X
  
• 3D segmentation of lesions (tumors, white matter lesions, vascular lesions) in the human brain Automatic 3D Lesion Segmentation
• analysis of diffusion tensor image data (DTI)
• building of statistical population atlases of the human brain
  
• studying the early developing brain and neonatal MRI
  

Short Bios [Full CV]

Guido Gerig is Taylor Grandy professor with a joint appointment in the Department of Computer Science and in the Department of Psychiatry at the University of North Carolina at Chapel Hill. 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 in August 1998.

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 has spent several research leaves as a visiting assistant professor at the Brigham and Women's Hospital at Harvard Medical School. Guido Gerig is a member of the editorial board of the journal Medical Image Analysis, published by Elsevier. He has served on the committees of a number of computer vision and image analysis conferences and workshops. He is the director of the UNC Neuroimage Analysis Laboratory and supports a number of clinical neuroimaging projects with methodology for image processing, registration, atlas building, segmentation, shape analysis, and statistical analysis. Current key research topics are segmentation of MRI/DTI of the early developing brain, longitdinal analysis of multi-shape complexes, building of population atlases of volumetric images and embedded shapes, and new methodologies for statistical analysis of diffusion tensor imaging (DTI). Tools and methods developed through driving clinical applications are open source (ITK) and made available to public.

Curriculum vitae - extended version [Download pdf]

Important Project Collaborations

• MIDAG (S.M. Pizer)
• UNC Neuroimage Analysis Laboratory NIRL (Gerig/Belger)
  
• UNC Silvio Conte Center (J. Gilmore)
• UNC Early Brain Development Studies (J. Gilmore)
  
• UNC Autism Center (J. Piven)
• UNC-NDRC (J. Piven)
  
• NA-MIC: National Alliance for Medical Image Computing (R. Kikinis)
  
• BIRN
  
• BIRN-Duke-NIRL (Krishnan/MacFall)
  
• Duke Silvio Conte Center (R. Krishnan)
  
• DUMC (R. Krishnan)
  
• UNC CADDLab (S. Aylward)
• UNC CASILab (E. Bullitt)
• Harvard SPL (R. Kikinis)
• PNL: Psychiatry Neuroimaging Laboratory (M. Shenton)
  

Important Links

• Academic Ranking of World Universities
• PubMed

Ph.D./M.S. students

Former students:

• Martin Styner, 1998-2001, shape analysis and shape statistics, PhD 2001
  
• Nathan Moon, 2000-2002, , tumor segmentation, MS 2004
  
• Megan Dunigan, 2002-2004, shape analysis, MS 2004
  
• Sean Ho (PhD 2005), Multi-scale Image Match
  
• Mike Brady (MD-PhD), 2004-2005, Neuroimaging of neonatal MRI