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
Deep learning and the electrocardiogram: review of the curr..:
Somani, Sulaiman
;
Russak, Adam J
;
Richter, Felix
...
EP Europace. 23 (2021) 8 - p. 1179-1191 , 2021
Link:
https://doi.org/10.1093/europace/euaa377
RT Journal T1
Deep learning and the electrocardiogram: review of the current state-of-the-art
UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_europace_euaa377&Exemplar=1&LAN=DE A1 Somani, Sulaiman A1 Russak, Adam J A1 Richter, Felix A1 Zhao, Shan A1 Vaid, Akhil A1 Chaudhry, Fayzan A1 De Freitas, Jessica K A1 Naik, Nidhi A1 Miotto, Riccardo A1 Nadkarni, Girish N A1 Narula, Jagat A1 Argulian, Edgar A1 Glicksberg, Benjamin S PB Oxford University Press (OUP) YR 2021 SN 1099-5129 SN 1532-2092 JF EP Europace VO 23 IS 8 SP 1179 OP 1191 LK http://dx.doi.org/https://doi.org/10.1093/europace/euaa377 DO https://doi.org/10.1093/europace/euaa377 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)