Yonggang Shi

Summary

Affiliation: University of California
Country: USA

Publications

  1. ncbi Cortical surface reconstruction via unified Reeb analysis of geometric and topological outliers in magnetic resonance images
    Yonggang Shi
    Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095, USA
    IEEE Trans Med Imaging 32:511-30. 2013
  2. ncbi CoRPORATE: cortical reconstruction by pruning outliers with Reeb analysis and topology-preserving evolution
    Yonggang Shi
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Inf Process Med Imaging 22:233-44. 2011
  3. ncbi Automated sulci identification via intrinsic modeling of cortical anatomy
    Yonggang Shi
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Med Image Comput Comput Assist Interv 13:49-56. 2010
  4. ncbi Robust surface reconstruction via Laplace-Beltrami eigen-projection and boundary deformation
    Yonggang Shi
    Laboratory of Neuro Imaging, Department of Neurology, University of California Los Angeles, School of Medicine, Los Angeles, CA 90095, USA
    IEEE Trans Med Imaging 29:2009-22. 2010
  5. ncbi Cortical shape analysis in the Laplace-Beltrami feature space
    Yonggang Shi
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Med Image Comput Comput Assist Interv 12:208-15. 2009
  6. ncbi Inverse-consistent surface mapping with Laplace-Beltrami eigen-features
    Yonggang Shi
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Inf Process Med Imaging 21:467-78. 2009
  7. ncbi Harmonic surface mapping with Laplace-Beltrami eigenmaps
    Yonggang Shi
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Med Image Comput Comput Assist Interv 11:147-54. 2008
  8. ncbi Hamilton-Jacobi skeleton on cortical surfaces
    Y Shi
    Laboratory of Neuroimaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095, USA
    IEEE Trans Med Imaging 27:664-73. 2008
  9. ncbi A real-time algorithm for the approximation of level-set-based curve evolution
    Yonggang Shi
    Laboratory of Neuroimaging, Department of Neurology, School of Medicine, University of California, Los Angeles, CA 90095, USA
    IEEE Trans Image Process 17:645-56. 2008
  10. ncbi Joint sulci detection using graphical models and boosted priors
    Yonggang Shi
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Inf Process Med Imaging 20:98-109. 2007

Collaborators

Detail Information

Publications21

  1. ncbi Cortical surface reconstruction via unified Reeb analysis of geometric and topological outliers in magnetic resonance images
    Yonggang Shi
    Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095, USA
    IEEE Trans Med Imaging 32:511-30. 2013
    ..In comparisons with FreeSurfer, we show that our system is able to generate surfaces that better represent cortical anatomy and produce thickness features with higher statistical power in population studies...
  2. ncbi CoRPORATE: cortical reconstruction by pruning outliers with Reeb analysis and topology-preserving evolution
    Yonggang Shi
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Inf Process Med Imaging 22:233-44. 2011
    ..We show that cross-sectional group differences and longitudinal changes can be detected successfully with our method...
  3. ncbi Automated sulci identification via intrinsic modeling of cortical anatomy
    Yonggang Shi
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Med Image Comput Comput Assist Interv 13:49-56. 2010
    ..We also demonstrate the robustness of our system by successfully applying an atlas of Chinese population to identify sulci on Caucasian brains of different age groups, and surfaces extracted by three popular software tools...
  4. ncbi Robust surface reconstruction via Laplace-Beltrami eigen-projection and boundary deformation
    Yonggang Shi
    Laboratory of Neuro Imaging, Department of Neurology, University of California Los Angeles, School of Medicine, Los Angeles, CA 90095, USA
    IEEE Trans Med Imaging 29:2009-22. 2010
    ..We also successfully validate our method on a large data set of more than 900 hippocampal masks and demonstrate that the reconstructed surfaces retain volume information accurately...
  5. ncbi Cortical shape analysis in the Laplace-Beltrami feature space
    Yonggang Shi
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Med Image Comput Comput Assist Interv 12:208-15. 2009
    ..A learning-based sulci detection algorithm is developed in this feature space to demonstrate its application in cortical shape analysis. Automated sulci detection results with 10 training and 15 testing surfaces are presented...
  6. ncbi Inverse-consistent surface mapping with Laplace-Beltrami eigen-features
    Yonggang Shi
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Inf Process Med Imaging 21:467-78. 2009
    ..In our experiments, we successfully mapped 890 hippocampal surfaces and report statistically significant maps of atrophy rates between normal controls and patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD)...
  7. ncbi Harmonic surface mapping with Laplace-Beltrami eigenmaps
    Yonggang Shi
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Med Image Comput Comput Assist Interv 11:147-54. 2008
    ..A group study is also performed to generate a statistically significant map of local volume losses in the hippocampus of patients with secondary progressive multiple sclerosis...
  8. ncbi Hamilton-Jacobi skeleton on cortical surfaces
    Y Shi
    Laboratory of Neuroimaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095, USA
    IEEE Trans Med Imaging 27:664-73. 2008
    ..In our experiments, we demonstrate our method on two different cortical surface models, its ability of capturing major sulcal patterns and its application to compute skeletons of gyral regions...
  9. ncbi A real-time algorithm for the approximation of level-set-based curve evolution
    Yonggang Shi
    Laboratory of Neuroimaging, Department of Neurology, School of Medicine, University of California, Los Angeles, CA 90095, USA
    IEEE Trans Image Process 17:645-56. 2008
    ..In particular, the resulting algorithm is fast enough for use in real-time video processing applications, which we demonstrate through several image segmentation and video tracking experiments...
  10. ncbi Joint sulci detection using graphical models and boosted priors
    Yonggang Shi
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Inf Process Med Imaging 20:98-109. 2007
    ..On a data set of 40 cortical surfaces, we demonstrate the advantage of joint detection on four major sulci: central, precentral, postcentral and the sylvian fissure...
  11. ncbi Direct mapping of hippocampal surfaces with intrinsic shape context
    Yonggang Shi
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095, USA
    Neuroimage 37:792-807. 2007
    ..Spherical harmonics (SPHARM) analysis is then applied and it confirms our results on temporal changes of HC asymmetry in AD...
  12. ncbi Joint sulcal detection on cortical surfaces with graphical models and boosted priors
    Yonggang Shi
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095, USA
    IEEE Trans Med Imaging 28:361-73. 2009
    ..A comparison with independently detected results is also conducted to illustrate the advantage of the joint detection approach...
  13. ncbi Mesh-based spherical deconvolution: a flexible approach to reconstruction of non-negative fiber orientation distributions
    Vishal Patel
    Laboratory of Neuro Imaging, University of California, Los Angeles, USA
    Neuroimage 51:1071-81. 2010
    ..Finally, we provide a software tool for computing the FOD using our new formulation in hopes of simplifying and encouraging the adoption of spherical deconvolution techniques...
  14. ncbi Unified geometry and topology correction for cortical surface reconstruction with intrinsic reeb analysis
    Yonggang Shi
    Lab of Neuro Imaging, Dept of Neurology, UCLA School of Medicine, Los Angeles, CA, USA
    Med Image Comput Comput Assist Interv 15:601-8. 2012
    ..In our experiments, we demonstrate on 200 MR images from two datasets that our method is much faster and achieves better performance than FreeSurfer in population studies...
  15. ncbi Conformal metric optimization on surface (CMOS) for deformation and mapping in Laplace-Beltrami embedding space
    Yonggang Shi
    Lab of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
    Med Image Comput Comput Assist Interv 14:327-34. 2011
    ..A comparison with the popular SPHARM tool has also been performed to demonstrate that our method achieves more significant results...
  16. ncbi Fast diffusion tensor registration with exact reorientation and regularization
    Junning Li
    Laboratory of Neuro Imaging, University of California, Los Angeles, CA, USA
    Med Image Comput Comput Assist Interv 15:138-45. 2012
    ..In our experiments, the new algorithm achieved state-of-art performance at a ten-fold decrease of computational time...
  17. ncbi Direct cortical mapping via solving partial differential equations on implicit surfaces
    Yonggang Shi
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095, USA
    Med Image Anal 11:207-23. 2007
    ..Finally, we demonstrate the direct mapping method in the brain mapping applications of atlas construction and variability analysis...
  18. ncbi Pattern of hippocampal shape and volume differences in blind subjects
    Natasha Lepore
    Laboratory of Neuro Imaging Department of Neorology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
    Neuroimage 46:949-57. 2009
    ..They offer a neuroanatomical substrate for future correlations with measures of navigation performance or functional activations related to variations in cognitive strategies...
  19. ncbi AKT activity regulates the ability of mTOR inhibitors to prevent angiogenesis and VEGF expression in multiple myeloma cells
    P Frost
    Department of Medicine, UCLA, the Jonsson Comprehensive Cancer Center, Los Angeles, CA, USA
    Oncogene 26:2255-62. 2007
    ..These results support a mechanism whereby AKT prevents VEGF IRES activity in myeloma cells during mTOR inhibition resulting in a more complete abrogation of VEGF translation, and ultimately, angiogenesis...
  20. ncbi The AKT kinase is activated in multiple myeloma tumor cells
    J Hsu
    Department of Medicine and Pathology, West Los Angeles Veterans Administration Medical Center and Jonsson Comprehensive Cancer Center, Los Angeles, CA 90073, USA
    Blood 98:2853-5. 2001
    ..These results indicate that activation of the AKT kinase is a characteristic of MM cells and suggest that AKT activity is important for MM cell expansion...
  21. ncbi Her-2/neu expression in prostate cancer: high level of expression associated with exposure to hormone therapy and androgen independent disease
    Y Shi
    Department of Pathology, University of Southern California Keck School of Medicine and Norris Comprehensive Cancer Center, Los Angeles, California 90003, USA
    J Urol 166:1514-9. 2001
    ..It may contribute to androgen independence in prostate cancer and identify patients with prostate cancer more likely to have disease progression, particularly those not exposed to previous hormone therapy...