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
Synthetic OCT Data Generation to Enhance the Performance of..:
Danesh, Hajar
;
Steel, David H.
;
Hogg, Jeffry
...
Translational Vision Science & Technology. 11 (2022) 10 - p. 10 , 2022
Link:
https://doi.org/10.1167/tvst.11.10.10
RT Journal T1 <Title>Synthetic OCT Data Generation to Enhance the Performance of Diagnostic Models for Neurodegenerative Diseases</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1167_tvst.11.10.10&Exemplar=1&LAN=DE A1 Danesh, Hajar A1 Steel, David H. A1 Hogg, Jeffry A1 Ashtari, Fereshteh A1 Innes, Will A1 Bacardit, Jaume A1 Hurlbert, Anya A1 Read, Jenny C. A. A1 Kafieh, Rahele PB Association for Research in Vision and Ophthalmology (ARVO) YR 2022 SN 2164-2591 JF Translational Vision Science & Technology VO 11 IS 10 SP 10 LK http://dx.doi.org/https://doi.org/10.1167/tvst.11.10.10 DO https://doi.org/10.1167/tvst.11.10.10 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
