Yalin Wang

Summary

Affiliation: University of California
Country: USA

Publications

  1. ncbi request reprint Teichmöller shape space theory and its application to brain morphometry
    Yalin Wang
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA 90095, USA
    Med Image Comput Comput Assist Interv 12:133-40. 2009
  2. pmc Multivariate tensor-based brain anatomical surface morphometry via holomorphic one-forms
    Yalin Wang
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA 90095, USA
    Med Image Comput Comput Assist Interv 12:337-44. 2009
  3. pmc Multivariate tensor-based morphometry on surfaces: application to mapping ventricular abnormalities in HIV/AIDS
    Yalin Wang
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095 7332, USA
    Neuroimage 49:2141-57. 2010
  4. ncbi request reprint Brain surface conformal parameterization with algebraic functions
    Yalin Wang
    Mathematics Department, UCLA, Los Angeles, CA 90095, USA
    Med Image Comput Comput Assist Interv 9:946-54. 2006
  5. ncbi request reprint Conformal slit mapping and its applications to brain surface parameterization
    Yalin Wang
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA 90095, USA
    Med Image Comput Comput Assist Interv 11:585-93. 2008
  6. pmc Brain surface conformal parameterization using Riemann surface structure
    Yalin Wang
    Laboratory of Neuro Imaging, Department of Neurology, University of California Los Angeles School of Medicine, Los Angeles, CA 90095, USA
    IEEE Trans Med Imaging 26:853-65. 2007
  7. ncbi request reprint Optimized conformal parameterization of cortical surfaces using shape based matching of landmark curves
    Lok Ming Lui
    Department of Mathematics, UCLA, Los Angeles, CA 90095 1555, USA
    Med Image Comput Comput Assist Interv 11:494-501. 2008
  8. ncbi request reprint Automated surface matching using mutual information applied to Riemann surface structures
    Yalin Wang
    Mathematics Department, UCLA, Los Angeles, CA 90095, USA
    Med Image Comput Comput Assist Interv 8:666-74. 2005
  9. pmc Brain surface conformal parameterization with the Ricci flow
    Yalin Wang
    Laboratory of Neuro Imaging, School of Medicine, University of California, Los Angeles, CA 90095 USA
    IEEE Trans Med Imaging 31:251-64. 2012
  10. ncbi request reprint Optimization of brain conformal mapping with landmarks
    Yalin Wang
    Mathematics Department, UCLA, Los Angeles, CA 90095, USA
    Med Image Comput Comput Assist Interv 8:675-83. 2005

Detail Information

Publications18

  1. ncbi request reprint Teichmöller shape space theory and its application to brain morphometry
    Yalin Wang
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA 90095, USA
    Med Image Comput Comput Assist Interv 12:133-40. 2009
    ....
  2. pmc Multivariate tensor-based brain anatomical surface morphometry via holomorphic one-forms
    Yalin Wang
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA 90095, USA
    Med Image Comput Comput Assist Interv 12:337-44. 2009
    ..Multivariate statistics on the local tensors outperformed other TBM methods including analysis of the Jacobian determinant, the largest eigenvalue, or the pair of eigenvalues, of the surface Jacobian matrix...
  3. pmc Multivariate tensor-based morphometry on surfaces: application to mapping ventricular abnormalities in HIV/AIDS
    Yalin Wang
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095 7332, USA
    Neuroimage 49:2141-57. 2010
    ..The resulting analysis pipeline may improve the power of surface-based morphometry studies of the brain...
  4. ncbi request reprint Brain surface conformal parameterization with algebraic functions
    Yalin Wang
    Mathematics Department, UCLA, Los Angeles, CA 90095, USA
    Med Image Comput Comput Assist Interv 9:946-54. 2006
    ..It also offers a method to explicitly match landmark curves between anatomical surfaces such as the cortex, and to compute conformal invariants for statistical comparisons of anatomy...
  5. ncbi request reprint Conformal slit mapping and its applications to brain surface parameterization
    Yalin Wang
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA 90095, USA
    Med Image Comput Comput Assist Interv 11:585-93. 2008
    ..Preliminary experimental results parameterizing various brain anatomical surfaces are presented...
  6. pmc Brain surface conformal parameterization using Riemann surface structure
    Yalin Wang
    Laboratory of Neuro Imaging, Department of Neurology, University of California Los Angeles School of Medicine, Los Angeles, CA 90095, USA
    IEEE Trans Med Imaging 26:853-65. 2007
    ..The landmark detection results are used as constraints for building conformal maps between surfaces that also match explicitly defined landmarks...
  7. ncbi request reprint Optimized conformal parameterization of cortical surfaces using shape based matching of landmark curves
    Lok Ming Lui
    Department of Mathematics, UCLA, Los Angeles, CA 90095 1555, USA
    Med Image Comput Comput Assist Interv 11:494-501. 2008
    ..The utility of our model is demonstrated in experiments on cortical surfaces with landmarks delineated, which show that our computed maps give a shape-based alignment of the sulcal curves without significantly impairing conformality...
  8. ncbi request reprint Automated surface matching using mutual information applied to Riemann surface structures
    Yalin Wang
    Mathematics Department, UCLA, Los Angeles, CA 90095, USA
    Med Image Comput Comput Assist Interv 8:666-74. 2005
    ..This finite-dimensional linear space generates all conformal reparameterizations of the surface. We apply the method to hippocampal surface registration, a key step in subcortical shape analysis in Alzheimer's disease and schizophrenia...
  9. pmc Brain surface conformal parameterization with the Ricci flow
    Yalin Wang
    Laboratory of Neuro Imaging, School of Medicine, University of California, Los Angeles, CA 90095 USA
    IEEE Trans Med Imaging 31:251-64. 2012
    ..The results show our algorithm's power to detect subtle group differences in cortical surfaces...
  10. ncbi request reprint Optimization of brain conformal mapping with landmarks
    Yalin Wang
    Mathematics Department, UCLA, Los Angeles, CA 90095, USA
    Med Image Comput Comput Assist Interv 8:675-83. 2005
    ..We also examined how the parameterization changes with different weighting factors. As expected, the landmark matching error can be reduced if it is more heavily penalized, but conformality is progressively reduced...
  11. ncbi request reprint Brain surface parameterization using Riemann surface structure
    Yalin Wang
    Mathematics Department, UCLA, Los Angeles, CA 90095, USA
    Med Image Comput Comput Assist Interv 8:657-65. 2005
    ..It also offers a way to explicitly match landmark curves in anatomical surfaces such as the cortex, providing a surface-based framework to compare anatomy statistically and to generate grids on surfaces for PDE-based signal processing...
  12. pmc Disease classification with hippocampal shape invariants
    Boris Gutman
    Laboratory of Neuro Imaging, Department of Neurology, UCLA David Geffen School of Medicine, Los Angeles, California, USA
    Hippocampus 19:572-8. 2009
    ..Armed with a rigid shape registration tool, we also present a way to visualize variation in global shape description as a local displacement map, thus clarifying the descriptors' anatomical meaning...
  13. pmc Global and regional alterations of hippocampal anatomy in long-term meditation practitioners
    Eileen Luders
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, California
    Hum Brain Mapp 34:3369-75. 2013
    ..However, given the cross-sectional design, the lack of individual stress measures, and the limited resolution of brain data, the exact underlying neuronal mechanisms remain to be established...
  14. pmc Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features
    Boris A Gutman
    Imaging Genetics Center, Laboratory of Neuro Imaging, Dept of Neurology, UCLA School of Medicine, Los Angeles, CA 90095 1769, USA
    Neuroimage 70:386-401. 2013
    ..Our surface-based measures are unbiased: they give no artifactual additive atrophy over three time points. Our results suggest that statistical weighting may boost efficiency of drug trials that use brain maps...
  15. pmc Longitudinal changes in white matter disease and cognition in the first year of the Alzheimer disease neuroimaging initiative
    Owen Carmichael
    Department of Neurology, School of Medicine, University of California, Davis, CA, USA
    Arch Neurol 67:1370-8. 2010
    ....
  16. ncbi request reprint A landmark-based brain conformal parametrization with automatic landmark tracking technique
    Lok Ming Lui
    Department of Mathematics, UCLA, USA
    Med Image Comput Comput Assist Interv 9:308-15. 2006
    ..Experimental results show that our method can effectively help in automatically matching cortical surfaces across subjects...
  17. pmc Functional and structural differences in the hippocampus associated with memory deficits in adult survivors of acute lymphoblastic leukemia
    Michelle Monje
    Department of Neurology, Stanford University, Stanford, CA 94305 5461, USA
    Pediatr Blood Cancer 60:293-300. 2013
    ..Radiation and chemotherapy targeted to the central nervous system (CNS) can cause cognitive impairment, including impaired memory. These memory impairments may be referable to damage to hippocampal structures resulting from CNS treatment...
  18. ncbi request reprint Mapping cortical change in Alzheimer's disease, brain development, and schizophrenia
    Paul M Thompson
    Laboratory of Neuro Imaging, Brain Mapping Division, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095 1769, USA
    Neuroimage 23:S2-18. 2004
    ..Dynamically spreading waves of gray matter loss are tracked in dementia and schizophrenia, and these sequences are related to normally occurring changes in healthy subjects of various ages...