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
Novel Model to Predict HCC Recurrence after Liver Transplan..:
Nam, Joon Yeul
;
Lee, Jeong-Hoon
;
Bae, Junho
...
Cancers. 12 (2020) 10 - p. 2791 , 2020
Link:
https://doi.org/10.3390/cancers12102791
RT Journal T1
Novel Model to Predict HCC Recurrence after Liver Transplantation Obtained Using Deep Learning: A Multicenter Study
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_cancers12102791&Exemplar=1&LAN=DE A1 Nam, Joon Yeul A1 Lee, Jeong-Hoon A1 Bae, Junho A1 Chang, Young A1 Cho, Yuri A1 Sinn, Dong Hyun A1 Kim, Bo Hyun A1 Kim, Seoung Hoon A1 Yi, Nam-Joon A1 Lee, Kwang-Woong A1 Kim, Jong Man A1 Park, Joong-Won A1 Kim, Yoon Jun A1 Yoon, Jung-Hwan A1 Joh, Jae-Won A1 Suh, Kyung-Suk PB MDPI AG YR 2020 SN 2072-6694 JF Cancers VO 12 IS 10 SP 2791 LK http://dx.doi.org/https://doi.org/10.3390/cancers12102791 DO https://doi.org/10.3390/cancers12102791 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)