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
Automated liver segmental volume ratio quantification on no..:
Zbinden, Lukas
;
Catucci, Damiano
;
Suter, Yannick
...
European Journal of Radiology. 167 (2023) - p. 111047 , 2023
Link:
https://doi.org/10.1016/j.ejrad.2023.111047
RT Journal T1
Automated liver segmental volume ratio quantification on non-contrast T1–Vibe Dixon liver MRI using deep learning
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ejrad.2023.111047&Exemplar=1&LAN=DE A1 Zbinden, Lukas A1 Catucci, Damiano A1 Suter, Yannick A1 Hulbert, Leona A1 Berzigotti, Annalisa A1 Brönnimann, Michael A1 Ebner, Lukas A1 Christe, Andreas A1 Obmann, Verena Carola A1 Sznitman, Raphael A1 Huber, Adrian Thomas PB Elsevier BV YR 2023 SN 0720-048X JF European Journal of Radiology VO 167 SP 111047 LK http://dx.doi.org/https://doi.org/10.1016/j.ejrad.2023.111047 DO https://doi.org/10.1016/j.ejrad.2023.111047 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)