Improved deep gray matter segmentation using anatomical information from quantitative susceptibility maps


Journal article


F. Schweser, Xiang Feng, Rosa Mach Batlle, D. Güllmar, A. Deistung, M. Dwyer, R. Zivadinov, J. Reichenbach
2013

Semantic Scholar
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APA
Schweser, F., Feng, X., Batlle, R. M., Güllmar, D., Deistung, A., Dwyer, M., … Reichenbach, J. (2013). Improved deep gray matter segmentation using anatomical information from quantitative susceptibility maps.

Chicago/Turabian
Schweser, F., Xiang Feng, Rosa Mach Batlle, D. Güllmar, A. Deistung, M. Dwyer, R. Zivadinov, and J. Reichenbach. “Improved Deep Gray Matter Segmentation Using Anatomical Information from Quantitative Susceptibility Maps” (2013).

MLA
Schweser, F., et al. Improved Deep Gray Matter Segmentation Using Anatomical Information from Quantitative Susceptibility Maps. 2013.


Abstract

Improved deep gray matter segmentation using anatomical information from quantitative susceptibility maps Ferdinand Schweser, Xiang Feng, Rosa Mach Batlle, Daniel Güllmar, Andreas Deistung, Michael G Dwyer, Robert Zivadinov, and Jürgen R Reichenbach Medical Physics Group, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital Friedrich Schiller University Jena, Jena, Germany, Buffalo Neuroimaging Analysis Center, University at Buffalo SUNY, Buffalo, New York, United States, Jacobs Neurological Institute, University at Buffalo SUNY, Buffalo, New York, United States