Publication and Powerpoints on MIDUS Dataset

Moo K. Chung  mkchung@wisc.edu
Department of Biostatistics and Medical Informatics
Waisman Laboratory for Brain Imaging and Behavior
University of Wisconsin-Madison

Click the link to view PDF or powerpoints (MAC powerpoint or MAC Keynote). Updated September 6, 2013

Publication
  1. Hosseinbor, A.P., Chung, M.K., Schaefer, S.M., van Reekum, C., Peschke-Schmitz, L., Sutterer, M., Alexander, A.L., Davidson, R.J. 2013. 4D hyperspherical harmonic (hyperSPHARM) representation of  multiple disconnected brain subcortical structures, 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science (LNCS) in press.
  2. Chung, M.K. 2013. Statistical and Computational Methods in Brain Image Analysis.  Chapman & Hall/CRC. Section 7.5, page 114-119.
  3. Chung, M.K. 2012. Computational Neuroanatomy: The Methods, World Scientific Publishing. Section 7.7.2., page 212-215.
  4. Kim, S.-G., Chung, M.K., Schaefer, S.M., van Reekum, C., Davidson, R.J. 2012. Sparse shape representation using the Laplace-Beltrami eigenfunctions and its application to modeling subcortical structures. IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA). 25-32.
  5. Kim, S.-G., Chung, Schaefer, S., Chung, M.K., van Reekum, C., Davidson, R.J. 2012. Statistical power maps for sparse representation of subcortical brain structures. 18th Annual Meeting of the Organization for Human Brain Mapping (OHBM). 5672. Apple Pages format,  Poster
  6. Kim, S.-G., Chung, M.K., Seo, S., Schaefer, S.M., van Reekum, C., Davidson, R.J. 2011. Heat kernel smoothing via Laplace-Beltrami eigenfunctions and its application to subcortical structure modeling. Pacific-Rim Symposium on Image and Video Technology (PSIVT). Lecture Notes in Computer Science (LNCS). 7087:36-47.

Submitted
  1. Chung, M.K., Kim, S.-G., Schaefer, S.M., van Reekum, C. M., Schmitz, L.P., Sutterer, M., Davidson, R.J. 2013. Improved statistical power with a sparse shape model in determining aging effect in hippocampus and amygdala, SPIE Medical Imaging. under review
Draft version (not yet submitted)
  1. Chung, M.K., Schaefer, S.M., Kim, S.-G., van Reekum, C., Peschke-Schmitz, L., Sutterer, M., Davidson, R.J. 2013 Twin-effects on hippocampus and amygdala shape: deformation-based surface morphometry
  2. Chung, M.K., Schaefer, S.M., van Reekum, C., Peschke-Schmitz, L., Sutterer, M., Davidson, R.J. 2013 A Unified Kernel Regression Framework on Arbitrary Surfaces and Its Application to Modeling Multiple Disconnected Subcortical Brain Structures. To be submitted journal Medical Image Analysis
  3. Hosseinbor, A.P., Chung, M.K., Schaefer, S.M., van Reekum, C., Peschke-Schmitz, L., Sutterer, M., Alexander, A.L., Davidson, R.J. 2013. 4D hyperspherical harmonic (hyperSPHARM) representation of  surface anatomy: A holistic treatment of multiple disconneced anatomical structures, To be submitted journal IEEE Transactions on Medical Imaging
Powerpoint and Keynote files
  1. Twin effects on amygdala and hippocampus shapes via heat kernel regression on manifolds 2013 May 21 Mac Powerpoint
  2. Statistical power computation under multiple comparisons in hippocampus and amygdala, 2013 Feburary 27. Mac Powerpoint
  3. Sparse shape recovery and its statistical power computation under multiple comparisons, 2012 April 20. Mac Keynote
  4. Sparse shape representation using Laplace-Beltrami eigenfunctions and its application to modeling subcortical structures, 2012 January 9. Mac Keynote
  5. Sparse shape representation using the Laplace-Beltrami eigenfunctions and its application to correlating functional signal to subcortical structures. 2011, September 27. Mac Keynote