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
TMOD-09. GLIOBLASTOMA BIOPHYSICAL GROWTH ESTIMATION USING D..:
Pati, Sarthak
;
Sharma, Vaibhav
;
Aslam, Heena
...
Neuro-Oncology. 22 (2020) Supplement_2 - p. ii229-ii229 , 2020
Link:
https://doi.org/10.1093/neuonc/noaa215.960
RT Journal T1
TMOD-09. GLIOBLASTOMA BIOPHYSICAL GROWTH ESTIMATION USING DEEP LEARNING-BASED REGRESSION
UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_neuonc_noaa215.960&Exemplar=1&LAN=DE A1 Pati, Sarthak A1 Sharma, Vaibhav A1 Aslam, Heena A1 Thakur, Siddhesh A1 Akbari, Hamed A1 Mang, Andreas A1 Subramanian, Shashank A1 Biros, George A1 Davatzikos, Christos A1 Bakas, Spyridon PB Oxford University Press (OUP) YR 2020 SN 1522-8517 SN 1523-5866 JF Neuro-Oncology VO 22 IS Supplement_2 SP ii229 OP ii229 LK http://dx.doi.org/https://doi.org/10.1093/neuonc/noaa215.960 DO https://doi.org/10.1093/neuonc/noaa215.960 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)