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
Towards Surgical Skill Modeling in Cardiac Ablation Using D..:
, In:
2023 27th International Conference on Methods and Models in Automation and Robotics (MMAR)
,
Famouri, Seyedfarzad
;
Fekri, Pedram
;
Roshanfar, Majid
. - p. 216-221 , 2023
Link:
https://doi.org/10.1109/MMAR58394.2023.10242557
RT T1 <cTitle>2023 27th International Conference on Methods and Models in Automation and Robotics (MMAR)</cTitle>: T1 <Title>Towards Surgical Skill Modeling in Cardiac Ablation Using Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10242557&Exemplar=1&LAN=DE A1 Famouri, Seyedfarzad A1 Fekri, Pedram A1 Roshanfar, Majid A1 Dargahi, Javad YR 2023 SN 2835-2807 K1 Heart K1 Deep learning K1 Recurrent neural networks K1 Catheterization K1 Force K1 Pipelines K1 Predictive models K1 Skill assessment K1 deep learning K1 recurrent neural network K1 LSTM K1 ablation catheter SP 216 OP 221 LK http://dx.doi.org/https://doi.org/10.1109/MMAR58394.2023.10242557 DO https://doi.org/10.1109/MMAR58394.2023.10242557 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
