Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Quantifying Deformation Using Information Theory: The Log-Unbiased Nonlinear Registration.

I. Yanovsky, M. Chiang, P. Thompson, A. Klunder, J. Becker, S. Davis, A. Toga, and A. Leow. ISBI, page 13-16. IEEE, (2007)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Chiang, Ming-Chang

add a person with the name Chiang, Ming-Chang

Other publications of authors with the same name

Quantifying Deformation Using Information Theory: The Log-Unbiased Nonlinear Registration.I. Yanovsky, M. Chiang, P. Thompson, A. Klunder, J. Becker, S. Davis, A. Toga, and A. Leow. ISBI, page 13-16. IEEE, (2007)Fluid Registration of Diffusion Tensor Images Using Information Theory.M. Chiang, A. Leow, A. Klunder, R. Dutton, M. Barysheva, S. Rose, K. McMahon, G. de Zubicaray, A. Toga, and P. Thompson. IEEE Trans. Med. Imaging, 27 (4): 442-456 (2008)Linear and Non-linear Geometric Object Matching with Implicit Representation.A. Leow, M. Chiang, H. Protas, P. Thompson, L. Vese, and H. Huang. ICPR (3), page 710-713. IEEE Computer Society, (2004)Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: An MRI study of 676 AD, MCI, and normal subjects.X. Hua, A. Leow, N. Parikshak, S. Lee, M. Chiang, A. Toga, C. Jr., M. Weiner, and P. Thompson. NeuroImage, 43 (3): 458-469 (2008)How does angular resolution affect diffusion imaging measures?L. Zhan, A. Leow, N. Jahanshad, M. Chiang, M. Barysheva, A. Lee, A. Toga, K. McMahon, G. de Zubicaray, M. Wright and 1 other author(s). NeuroImage, 49 (2): 1357-1371 (2010)Contextual interference enhances motor learning through increased resting brain connectivity during memory consolidation.C. Lin, H. Yang, B. Knowlton, A. Wu, M. Iacoboni, Y. Ye, S. Huang, and M. Chiang. NeuroImage, (2018)3D pattern of brain abnormalities in Williams syndrome visualized using tensor-based morphometry.M. Chiang, A. Reiss, A. Lee, U. Bellugi, A. Galaburda, J. Korenberg, D. Mills, A. Toga, and P. Thompson. NeuroImage, 36 (4): 1096-1109 (2007)Automated Surface Matching Using Mutual Information Applied to Riemann Surface Structures.Y. Wang, M. Chiang, and P. Thompson. MICCAI (2), volume 3750 of Lecture Notes in Computer Science, page 666-674. Springer, (2005)Scalar connectivity measures from fast-marching tractography reveal heritability of white matter architecture.V. Patel, M. Chiang, P. Thompson, K. McMahon, G. de Zubicaray, N. Martin, M. Wright, and A. Toga. ISBI, page 1109-1112. IEEE, (2010)White Matter Integrity Measured by Fractional Anisotropy Correlates Poorly with Actual Individual Fiber Anisotropy.A. Leow, L. Zhan, S. Zhu, N. Hageman, M. Chiang, M. Barysheva, A. Toga, K. McMahon, G. de Zubicaray, M. Wright and 1 other author(s). ISBI, page 622-625. IEEE, (2009)

PUMA

Disambiguation of "Chiang, Ming-Chang"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Quantifying Deformation Using Information Theory: The Log-Unbiased Nonlinear Registration.

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Chiang, Ming-Chang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Quantifying Deformation Using Information Theory: The Log-Unbiased Nonlinear Registration.

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Quantifying Deformation Using Information Theory: The Log-Unbiased Nonlinear Registration.