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
Deploying deep learning models on unseen medical imaging us..:
Valliani, Aly A.
;
Gulamali, Faris F.
;
Kwon, Young Joon
...
PLOS ONE. 17 (2022) 10 - p. e0273262 , 2022
Link:
https://doi.org/10.1371/journal.pone.0273262
RT Journal T1
Deploying deep learning models on unseen medical imaging using adversarial domain adaptation
UL https://suche.suub.uni-bremen.de/peid=cr-10.1371_journal.pone.0273262&Exemplar=1&LAN=DE A1 Valliani, Aly A. A1 Gulamali, Faris F. A1 Kwon, Young Joon A1 Martini, Michael L. A1 Wang, Chiatse A1 Kondziolka, Douglas A1 Chen, Viola J. A1 Wang, Weichung A1 Costa, Anthony B. A1 Oermann, Eric K. A1 Hammad, Mohamed PB Public Library of Science (PLoS) YR 2022 SN 1932-6203 JF PLOS ONE VO 17 IS 10 SP e0273262 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0273262 DO https://doi.org/10.1371/journal.pone.0273262 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)