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
Detection of Patients with Congenital and Often Concealed L..:
Florian Doldi
;
Lucas Plagwitz
;
Lea Philine Hoffmann
...
https://www.mdpi.com/2075-4426/12/7/1135. , 2022
Link:
https://doi.org/10.3390/jpm12071135
RT Journal T1
Detection of Patients with Congenital and Often Concealed Long-QT Syndrome by Novel Deep Learning Models
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:482e6fadfcf542ee9aeee0e8a9e84670&Exemplar=1&LAN=DE A1 Florian Doldi A1 Lucas Plagwitz A1 Lea Philine Hoffmann A1 Benjamin Rath A1 Gerrit Frommeyer A1 Florian Reinke A1 Patrick Leitz A1 Antonius Büscher A1 Fatih Güner A1 Tobias Brix A1 Felix Konrad Wegner A1 Kevin Willy A1 Yvonne Hanel A1 Sven Dittmann A1 Wilhelm Haverkamp A1 Eric Schulze-Bahr A1 Julian Varghese A1 Lars Eckardt PB MDPI AG YR 2022 K1 electrophysiology K1 long-QT syndrome K1 ECG K1 artificial intelligence K1 deep learning models K1 Medicine K1 R JF https://www.mdpi.com/2075-4426/12/7/1135 LK http://dx.doi.org/https://doi.org/10.3390/jpm12071135 DO https://doi.org/10.3390/jpm12071135 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)