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
Table_1_Predicting the brain age of children with cerebral ..:
Chun-yu Zhang
;
Bao-feng Yan
;
Nurehemaiti Mutalifu
...
doi:10.3389/fneur.2022.1040087.s001. , 2022
Link:
https://doi.org/10.3389/fneur.2022.1040087.s001
RT Journal T1
Table_1_Predicting the brain age of children with cerebral palsy using a two-dimensional convolutional neural networks prediction model without gray and white matter segmentation.DOCX
UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_21616884&Exemplar=1&LAN=DE A1 Chun-yu Zhang A1 Bao-feng Yan A1 Nurehemaiti Mutalifu A1 Ya-wei Fu A1 Jiang Shao A1 Jun-jie Wu A1 Qi Guan A1 Song-hai Biedelehan A1 Ling-xiao Tong A1 Xin-ping Luan YR 2022 K1 Neurology and Neuromuscular Diseases K1 Neurogenetics K1 cerebral palsy K1 brain age K1 deep learning K1 convolutional neural networks K1 brain age gap estimation JF doi:10.3389/fneur.2022.1040087.s001 LK http://dx.doi.org/https://doi.org/10.3389/fneur.2022.1040087.s001 DO https://doi.org/10.3389/fneur.2022.1040087.s001 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)