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
Deep Learning-based Type Identification of Volumetric MRI S..:
, In:
2020 25th International Conference on Pattern Recognition (ICPR)
,
Vieira de Mello, Jean Pablo
;
Paixao, Thiago M.
;
Berriel, Rodrigo
... - p. 1-8 , 2021
Link:
https://doi.org/10.1109/ICPR48806.2021.9413120
RT T1
2020 25th International Conference on Pattern Recognition (ICPR)
: T1
Deep Learning-based Type Identification of Volumetric MRI Sequences
UL https://suche.suub.uni-bremen.de/peid=ieee-9413120&Exemplar=1&LAN=DE A1 Vieira de Mello, Jean Pablo A1 Paixao, Thiago M. A1 Berriel, Rodrigo A1 Reyes, Mauricio A1 Badue, Claudine A1 De Souza, Alberto F. A1 Oliveira-Santos, Thiago YR 2021 K1 Training K1 Deep learning K1 Protocols K1 Magnetic resonance imaging K1 Manuals K1 Pattern recognition K1 Proposals SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/ICPR48806.2021.9413120 DO https://doi.org/10.1109/ICPR48806.2021.9413120 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)