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
Visual analysis of automated segmentation in the diagnosis ..:
Sepúlveda, M. Magdalena
;
Rojas, Gonzalo M.
;
Faure, Evelyng
...
Epilepsy & Behavior. 102 (2020) - p. 106684 , 2020
Link:
https://doi.org/10.1016/j.yebeh.2019.106684
RT Journal T1
Visual analysis of automated segmentation in the diagnosis of focal cortical dysplasias with magnetic resonance imaging
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.yebeh.2019.106684&Exemplar=1&LAN=DE A1 Sepúlveda, M. Magdalena A1 Rojas, Gonzalo M. A1 Faure, Evelyng A1 Pardo, Claudio R. A1 las Heras, Facundo A1 Okuma, Cecilia A1 Cordovez, Jorge A1 de la Iglesia-Vayá, María A1 Molina-Mateo, José A1 Gálvez, Marcelo PB Elsevier BV YR 2020 SN 1525-5050 JF Epilepsy & Behavior VO 102 SP 106684 LK http://dx.doi.org/https://doi.org/10.1016/j.yebeh.2019.106684 DO https://doi.org/10.1016/j.yebeh.2019.106684 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)