Vancouver 2003
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Cortical surfaces. See Chung et al., 2003
NeuroImage.
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Waisman Center #281
1500 Highland Ave.
Madison, WI 53705
Tel: 608-217-2452
Email:mkchung@wisc.edu
My main
research area is computational neuroanatomy, where non
invasive brain imaging modalities such as magnetic
resonance imaging (MRI) and diffusion tensor imaging
(DTI) are used to map spatiotemporal dynamics of the
human brain. Computational neuroanatomy deals with the
computational problems arising from the quantification
of the structure and the function of the human brain. My
research has been concentrated on the methodological
development of quantifying anatomical shape variations
in both normal and clinical populations using various
mathematical and statistical techniques. A major challenge in the field is caused
by the massive amount of nonstandard high dimensional
non-Euclidean imaging data that are difficult to analyze
using available techniques. This requires new
computational solutions that are fomulated in a
differential geomteric setting in addressing more
complex scientific hypotheses. Other than computational
neuroanatomy, my interest lies in shape analysis,
medical image analysis, nonparametric regression,
functional data analysis, random fields theory,
and partial differential equations. If you are interested in
working with me as a graduate student or a postdoc,
please contact me.