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
Reproducibility of diffusion-weighted magnetic resonance im..:
Habrich, Jonas
;
Boeke, Simon
;
Fritz, Victor
...
Radiotherapy and Oncology. 191 (2024) - p. 110046 , 2024
Link:
https://doi.org/10.1016/j.radonc.2023.110046
RT Journal T1
Reproducibility of diffusion-weighted magnetic resonance imaging in head and neck cancer assessed on a 1.5 T MR-Linac and comparison to parallel measurements on a 3 T diagnostic scanner
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.radonc.2023.110046&Exemplar=1&LAN=DE A1 Habrich, Jonas A1 Boeke, Simon A1 Fritz, Victor A1 Koerner, Elisa A1 Nikolaou, Konstantin A1 Schick, Fritz A1 Gani, Cihan A1 Zips, Daniel A1 Thorwarth, Daniela PB Elsevier BV YR 2024 SN 0167-8140 JF Radiotherapy and Oncology VO 191 SP 110046 LK http://dx.doi.org/https://doi.org/10.1016/j.radonc.2023.110046 DO https://doi.org/10.1016/j.radonc.2023.110046 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)