I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Characterizing iron deposition in multiple sclerosis lesion..:
Haacke, E. Mark
;
Makki, Malek
;
Ge, Yulin
...
Journal of Magnetic Resonance Imaging. 29 (2009) 3 - p. 537-544 , 2009
Link:
https://doi.org/10.1002/jmri.21676
RT Journal T1
Characterizing iron deposition in multiple sclerosis lesions using susceptibility weighted imaging
UL https://suche.suub.uni-bremen.de/peid=cr-10.1002_jmri.21676&Exemplar=1&LAN=DE A1 Haacke, E. Mark A1 Makki, Malek A1 Ge, Yulin A1 Maheshwari, Megha A1 Sehgal, Vivek A1 Hu, Jiani A1 Selvan, Madeswaran A1 Wu, Zhen A1 Latif, Zahid A1 Xuan, Yang A1 Khan, Omar A1 Garbern, James A1 Grossman, Robert I. PB Wiley YR 2009 SN 1053-1807 SN 1522-2586 JF Journal of Magnetic Resonance Imaging VO 29 IS 3 SP 537 OP 544 LK http://dx.doi.org/https://doi.org/10.1002/jmri.21676 DO https://doi.org/10.1002/jmri.21676 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)