Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Automated Deep Learning-based Segmentation of Brain, SEEG and DBS Electrodes on CT Images.
Vlasov, Vanja; Bofferding, Marie; Marx, Loic Marc et al.
2021In Bildverarbeitung für die Medizin 2021
Peer reviewed
 

Files


Full Text
3079-ref.pdf
Author preprint (637.04 kB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Human health sciences: Multidisciplinary, general & others
Author, co-author :
Vlasov, Vanja ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Interventional Neuroscience
Bofferding, Marie ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Marx, Loic Marc ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core
Zhang, Chencheng
Goncalves, Jorge ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Systems Control
Husch, Andreas  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Interventional Neuroscience
Hertel, Frank ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
External co-authors :
yes
Language :
English
Title :
Automated Deep Learning-based Segmentation of Brain, SEEG and DBS Electrodes on CT Images.
Publication date :
2021
Event name :
Bildverarbeitung für die Medizin
Event place :
Germany
Event date :
2021
Audience :
International
Main work title :
Bildverarbeitung für die Medizin 2021
Pages :
92-97
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Available on ORBilu :
since 01 July 2021

Statistics


Number of views
143 (14 by Unilu)
Number of downloads
6 (4 by Unilu)

Scopus citations®
 
2
Scopus citations®
without self-citations
2
OpenCitations
 
1

Bibliography


Similar publications



Contact ORBilu