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
Anomaly Detection for Alzheimer's Disease in Brain MRIs via..:
, In:
2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
,
Cabreza, Jean Nathan
;
Solano, Geoffrey A.
;
Ojeda, Sun Arthur
. - p. 1-5 , 2022
Link:
https://doi.org/10.1109/ICAIIC54071.2022.9722678
RT T1 <cTitle>2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)</cTitle>: T1 <Title>Anomaly Detection for Alzheimer's Disease in Brain MRIs via Unsupervised Generative Adversarial Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9722678&Exemplar=1&LAN=DE A1 Cabreza, Jean Nathan A1 Solano, Geoffrey A. A1 Ojeda, Sun Arthur A1 Munar, Vincent YR 2022 K1 Deep learning K1 Costs K1 Image synthesis K1 Magnetic resonance imaging K1 Computer architecture K1 Brain modeling K1 Generative adversarial networks K1 Alzheimer's disease K1 generative adversarial networks K1 unsupervised learning K1 anomaly detection SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICAIIC54071.2022.9722678 DO https://doi.org/10.1109/ICAIIC54071.2022.9722678 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
