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
ACSGRegNet: A Deep Learning-based Framework for Unsupervise..:
, In:
2022 The 4th International Conference on Intelligent Medicine and Health
,
Gao, Xiaoru
;
Zheng, Guoyan
- p. 57-63 , 2022
Link:
https://dl.acm.org/doi/10.1145/3560071.3560081
RT T1 <cTitle>2022 The 4th International Conference on Intelligent Medicine and Health</cTitle>: T1 <Title>ACSGRegNet: A Deep Learning-based Framework for Unsupervised Joint Affine and Diffeomorphic Registration of Lumbar Spine CT via Cross- and Self-Attention Fusion</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3560081&Exemplar=1&LAN=DE A1 Gao, Xiaoru A1 Zheng, Guoyan PB ACM YR 2022 K1 Affine K1 Cross- and self-attention K1 Diffeomorphic deformable image registration K1 Lumbar vertebrae K1 Unsupervised deep learning K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning theory K1 Unsupervised learning and clustering SP 57 OP 63 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3560071.3560081 DO https://dl.acm.org/doi/10.1145/3560071.3560081 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
