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
2.5D and 3D segmentation of brain metastases with deep lear..:
Ottesen, Jon André
;
Yi, Darvin
;
Tong, Elizabeth
...
Frontiers in Neuroinformatics. 16 (2023) - p. , 2023
Link:
https://doi.org/10.3389/fninf.2022.1056068
RT Journal T1
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data
UL https://suche.suub.uni-bremen.de/peid=cr-10.3389_fninf.2022.1056068&Exemplar=1&LAN=DE A1 Ottesen, Jon André A1 Yi, Darvin A1 Tong, Elizabeth A1 Iv, Michael A1 Latysheva, Anna A1 Saxhaug, Cathrine A1 Jacobsen, Kari Dolven A1 Helland, Åslaug A1 Emblem, Kyrre Eeg A1 Rubin, Daniel L. A1 Bjørnerud, Atle A1 Zaharchuk, Greg A1 Grøvik, Endre PB Frontiers Media SA YR 2023 SN 1662-5196 JF Frontiers in Neuroinformatics VO 16 LK http://dx.doi.org/https://doi.org/10.3389/fninf.2022.1056068 DO https://doi.org/10.3389/fninf.2022.1056068 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)