Journal article
F. Schweser, Xiang Feng, Rosa Mach Batlle, D. Güllmar, A. Deistung, M. Dwyer, R. Zivadinov, J. Reichenbach
2013
2013
Semantic Scholar
Cite
Cite
APA
Click to copy
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
Click to copy
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
Click to copy
Schweser, F., et al. Improved Deep Gray Matter Segmentation Using Anatomical Information from Quantitative Susceptibility Maps. 2013.
BibTeX Click to copy
@article{f2013a,
title = {Improved deep gray matter segmentation using anatomical information from quantitative susceptibility maps},
year = {2013},
author = {Schweser, F. and Feng, Xiang and Batlle, Rosa Mach and Güllmar, D. and Deistung, A. and Dwyer, M. and Zivadinov, R. and Reichenbach, J.}
}
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