MARTIN ANDREAS contact STYNER

Summary

Publications

  1. ncbi request reprint Parametric estimate of intensity inhomogeneities applied to MRI
    M Styner
    Department of Computer Science, University of North Carolina at Chapel Hill, 27514, USA
    IEEE Trans Med Imaging 19:153-65. 2000
  2. ncbi request reprint Statistical shape analysis of neuroanatomical structures based on medial models
    M Styner
    Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599, USA
    Med Image Anal 7:207-20. 2003
  3. ncbi request reprint Boundary and medial shape analysis of the hippocampus in schizophrenia
    Martin Styner
    Department of Computer Science, University of North Carolina at Chapel Hill, CB 3175, Sitterson Hall, Chapel Hill, NC 27599 317, USA
    Med Image Anal 8:197-203. 2004
  4. pmc Morphometric analysis of lateral ventricles in schizophrenia and healthy controls regarding genetic and disease-specific factors
    Martin Styner
    Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599 3175, USA
    Proc Natl Acad Sci U S A 102:4872-7. 2005
  5. pmc Three-dimensional surgical simulation
    Lucia H C Cevidanes
    Department of Orthodontics, University of North Carolina, Chapel Hill, 27599, USA
    Am J Orthod Dentofacial Orthop 138:361-71. 2010
  6. pmc Intrinsic regression models for manifold-valued data
    Xiaoyan Shi
    Department of Biostatistics, Radiology, Psychiatry and Computer Science, University of North Carolina at Chapel Hill, USA
    Med Image Comput Comput Assist Interv 12:192-9. 2009
  7. ncbi request reprint Accurate and robust reconstruction of a surface model of the proximal femur from sparse-point data and a dense-point distribution model for surgical navigation
    Guoyan Zheng
    MEM Research Center, University of Bern, Stauffacherstrasse 78, CH 3014 Bern, Switzerland
    IEEE Trans Biomed Eng 54:2109-22. 2007
  8. pmc FRATS: Functional Regression Analysis of DTI Tract Statistics
    Hongtu Zhu
    Department of Biostatistics, and Biomedical ResearchImaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA
    IEEE Trans Med Imaging 29:1039-49. 2010
  9. pmc Multivariate varying coefficient models for DTI tract statistics
    Hongtu Zhu
    Department of Biostatistics, Radiology, Psychiatry and Computer Science, and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, USA
    Med Image Comput Comput Assist Interv 13:690-7. 2010
  10. pmc [Three-dimensional superimposition of the skull base for the longitudinal evaluation of the effects of growth and of treatment]
    Lucia H S Cevidanes
    University of North Carolina, Department of Orthodontics, Chapel Hill, 27599 7450, USA
    Orthod Fr 80:347-57. 2009

Detail Information

Publications19

  1. ncbi request reprint Parametric estimate of intensity inhomogeneities applied to MRI
    M Styner
    Department of Computer Science, University of North Carolina at Chapel Hill, 27514, USA
    IEEE Trans Med Imaging 19:153-65. 2000
    ..A large number of MR image data acquired with breast, surface, and head coils, both in two dimensions and three dimensions, have been processed and demonstrate the versatility and robustness of this new bias correction scheme...
  2. ncbi request reprint Statistical shape analysis of neuroanatomical structures based on medial models
    M Styner
    Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599, USA
    Med Image Anal 7:207-20. 2003
    ..A new medial shape similarity study of group differences between monozygotic and dizygotic twins in lateral ventricle shape demonstrates the meaningful and powerful representation of local and global form...
  3. ncbi request reprint Boundary and medial shape analysis of the hippocampus in schizophrenia
    Martin Styner
    Department of Computer Science, University of North Carolina at Chapel Hill, CB 3175, Sitterson Hall, Chapel Hill, NC 27599 317, USA
    Med Image Anal 8:197-203. 2004
    ..The results strongly suggest that the normalized hippocampal shape of the schizophrenic group is different from the control group, most significantly as a deformation difference in the tail region...
  4. pmc Morphometric analysis of lateral ventricles in schizophrenia and healthy controls regarding genetic and disease-specific factors
    Martin Styner
    Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599 3175, USA
    Proc Natl Acad Sci U S A 102:4872-7. 2005
    ..Our results suggest that genetics have a stronger influence on the shape of lateral ventricles than do the disease-related changes in schizophrenia...
  5. pmc Three-dimensional surgical simulation
    Lucia H C Cevidanes
    Department of Orthodontics, University of North Carolina, Chapel Hill, 27599, USA
    Am J Orthod Dentofacial Orthop 138:361-71. 2010
    ..Computer-aided surgery can make the elaboration of the surgical plan a more flexible process, increase the level of detail and accuracy of the plan, yield higher operative precision and control, and enhance documentation of cases...
  6. pmc Intrinsic regression models for manifold-valued data
    Xiaoyan Shi
    Department of Biostatistics, Radiology, Psychiatry and Computer Science, University of North Carolina at Chapel Hill, USA
    Med Image Comput Comput Assist Interv 12:192-9. 2009
    ..We apply our methods to the detection of the difference in the morphological changes of the left and right hippocampi between schizophrenia patients and healthy controls using medial shape description...
  7. ncbi request reprint Accurate and robust reconstruction of a surface model of the proximal femur from sparse-point data and a dense-point distribution model for surgical navigation
    Guoyan Zheng
    MEM Research Center, University of Bern, Stauffacherstrasse 78, CH 3014 Bern, Switzerland
    IEEE Trans Biomed Eng 54:2109-22. 2007
    ..An average 95-percentile error of 1.7-2.3 mm was found when the present approach was used to reconstruct surface models of the cadaver femurs from sparse-point data with noise added...
  8. pmc FRATS: Functional Regression Analysis of DTI Tract Statistics
    Hongtu Zhu
    Department of Biostatistics, and Biomedical ResearchImaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA
    IEEE Trans Med Imaging 29:1039-49. 2010
    ..The resulting analysis pipeline can be used for understanding normal brain development, the neural bases of neuropsychiatric disorders, and the joint effects of environmental and genetic factors on white matter fiber bundles...
  9. pmc Multivariate varying coefficient models for DTI tract statistics
    Hongtu Zhu
    Department of Biostatistics, Radiology, Psychiatry and Computer Science, and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, USA
    Med Image Comput Comput Assist Interv 13:690-7. 2010
    ..Significant time effects on the four diffusion properties were found...
  10. pmc [Three-dimensional superimposition of the skull base for the longitudinal evaluation of the effects of growth and of treatment]
    Lucia H S Cevidanes
    University of North Carolina, Department of Orthodontics, Chapel Hill, 27599 7450, USA
    Orthod Fr 80:347-57. 2009
    ..This enables a detailed examination of the adaptation patterns for patients who experience clinically significant skeletal changes with growth and/or treatment...
  11. pmc Multi-object analysis of volume, pose, and shape using statistical discrimination
    Kevin Gorczowski
    Department of Computer Science, University of North Carolina, CB 3175, Chapel Hill, NC 27599 3175, USA
    IEEE Trans Pattern Anal Mach Intell 32:652-61. 2010
    ....
  12. pmc Cortical correspondence with probabilistic fiber connectivity
    Ipek Oguz
    Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA
    Inf Process Med Imaging 21:651-63. 2009
    ..Experimental results are presented, showing improved correspondence quality demonstrated by a cortical thickness analysis, as compared to correspondence methods using spatial metrics as the sole correspondence criterion...
  13. ncbi request reprint Reduced relationship to cortical white matter volume revealed by tractography-based segmentation of the corpus callosum in young children with developmental delay
    Carissa Cascio
    Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599 3367, USA
    Am J Psychiatry 163:2157-63. 2006
    ..The purpose of this study was to measure the corpus callosum in a clinical group of developmentally delayed children using a subdivision that more accurately reflected the anatomical properties of the corpus callosum...
  14. pmc Prenatal and neonatal brain structure and white matter maturation in children at high risk for schizophrenia
    John H Gilmore
    Conte Schizophrenia Research Center and Department of Psychiatry, University of North Carolina at Chapel Hill, NC 27599 7160, USA
    Am J Psychiatry 167:1083-91. 2010
    ..This study was conducted to identify structural brain abnormalities in the prenatal and neonatal periods associated with genetic risk for schizophrenia...
  15. pmc Cranial base superimposition for 3-dimensional evaluation of soft-tissue changes
    Lucia H C Cevidanes
    Department of Orthodontics, School of Dentistry, University of North Carolina, Chapel Hill, NC 27599, USA
    Am J Orthod Dentofacial Orthop 137:S120-9. 2010
    ..It is equally important to be able to detect changes in the facial soft tissues produced by growth or treatment. This requires structures of reference for superimposition and a way to display the changes with quantitative information...
  16. pmc Genetic and environmental contributions to neonatal brain structure: A twin study
    John H Gilmore
    UNC Schizophrenia Research Center, Department of Psychiatry, University of North Carolina, Chapel Hill, USA
    Hum Brain Mapp 31:1174-82. 2010
    ..More detailed studies of the changes in the relative genetic and environmental effects on brain structure throughout early childhood development are needed...
  17. pmc Maturational trajectories of cortical brain development through the pubertal transition: unique species and sex differences in the monkey revealed through structural magnetic resonance imaging
    Rebecca C Knickmeyer
    Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    Cereb Cortex 20:1053-63. 2010
    ..The authors discuss the possible implications of these findings for research using the rhesus macaque as a model for neurodevelopmental disorders...
  18. ncbi request reprint Asymmetrical ventricular enlargement in Parkinson's disease
    Xuemei Huang
    Department of Neurology, School of Medicine, University of North Carolina, Chapel Hill, North Carolina 27599 7025, USA, and University Hospital, Vancouver, British Columbia, Canada
    Mov Disord 22:1657-60. 2007
    ..This is the first report to suggest the presence of asymmetrical ventricular enlargement in PD, findings that may be worthy of further study...
  19. pmc Adjusted exponentially tilted likelihood with applications to brain morphology
    Hongtu Zhu
    Department of Biostatistics and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
    Biometrics 65:919-27. 2009
    ..We demonstrate the application of our new statistical methods to the detection of statistically significant differences in the morphology of the hippocampus between two schizophrenia groups and healthy subjects...

Research Grants3

  1. High Throughput web-base Image Analysis of Mouse Brain MR Imaging Studies
    Martin Styner; Fiscal Year: 2007
    ..The analysis of MR images of entire brain studies will become the matter of a few mouseclicks on a web-interface. ..
  2. Developmental Brain Atlas Tools and Data Applied to Humans and Macaques
    MARTIN ANDREAS contact STYNER; Fiscal Year: 2010
    ..This constitutes a crucial resource for the neuroimaging field, which will enable many new developmental translational primate models for neuropathologies such as autism or schizophrenia. ..