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
WED-198 Novel deep learning models utilising domain adaptat..:
Yip, Terry Cheuk-Fung
;
Xu, Jingwen
;
Lai, Mandy Sze-Man
...
Journal of Hepatology. 80 (2024) - p. S510 , 2024
Link:
https://doi.org/10.1016/s0168-8278(24)01543-5
RT Journal T1
WED-198 Novel deep learning models utilising domain adaptation outperform conventional statistical models for predicting the risk of liver-related complications in patients with metabolic dysfunction-associated steatotic liver disease
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_s0168-8278(24)01543-5&Exemplar=1&LAN=DE A1 Yip, Terry Cheuk-Fung A1 Xu, Jingwen A1 Lai, Mandy Sze-Man A1 Song, Sherlot Juan A1 Tse, Yee-Kit A1 Chan, Henry L.Y. A1 Wong, Grace Lai-Hung A1 Yuen, Pong Chi A1 Wong, Vincent Wai-Sun PB Elsevier BV YR 2024 SN 0168-8278 JF Journal of Hepatology VO 80 SP S510 LK http://dx.doi.org/https://doi.org/10.1016/s0168-8278(24)01543-5 DO https://doi.org/10.1016/s0168-8278(24)01543-5 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)