English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Decoding gender dimorphism of the human brain using multimodal anatomical and diffusion MRI data

Feis, D.-L., Brodersen, K. H., von Cramon, D. Y., Luders, E., & Tittgemeyer, M. (2013). Decoding gender dimorphism of the human brain using multimodal anatomical and diffusion MRI data. NeuroImage, 70, 250-257. doi:10.1016/j.neuroimage.2012.12.068.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Feis, Delia-Lisa1, Author              
Brodersen, Kay H.2, Author
von Cramon, D. Yves3, Author              
Luders, Eileen2, Author
Tittgemeyer, Marc1, Author              
Affiliations:
1Translational Neurocircuitry, Research Groups, Max Planck Institute for Metabolism Research, Managing Director: Jens Brüning, Max Planck Society, ou_2149668              
2a Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Wilfriedstrasse 6, 8032 Zurich, Switzerland b Department of Computer Science, ETH Zurich, Universitaetstrasse 6, 8092 Zurich, Switzerland c Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, United States, ou_persistent22              
3Von Cramon-Literatur, Max-Planck-Institut für neurologische Forschung, Managing Director: D. Yves von Cramon, Max Planck Institute for Metabolism Research, Managing Director: Jens Brüning, Max Planck Society, ou_2149664              

Content

show
hide
Free keywords: -
 Abstract: © 2013 Elsevier Inc..

Details

show
hide
Language(s): eng - English
 Dates: 2013
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 631111
DOI: 10.1016/j.neuroimage.2012.12.068
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: NeuroImage
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 70 Sequence Number: - Start / End Page: 250 - 257 Identifier: ISSN: 10538119