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
A machine learning‐based approach to predict energy layer f..:
Ma, Yuanyuan
;
Li, Yazhou
;
Xu, Penghui
...
Medical Physics. 51 (2024) 7 - p. 4970-4981 , 2024
Link:
https://doi.org/10.1002/mp.17179
RT Journal T1
A machine learning‐based approach to predict energy layer for each field in spot‐scanning proton arc therapy for lung cancer: A feasibility study
UL https://suche.suub.uni-bremen.de/peid=cr-10.1002_mp.17179&Exemplar=1&LAN=DE A1 Ma, Yuanyuan A1 Li, Yazhou A1 Xu, Penghui A1 Zhang, Hui A1 Zhang, Xinyang A1 Liu, Xinguo A1 Li, Qiang PB Wiley YR 2024 SN 0094-2405 SN 2473-4209 JF Medical Physics VO 51 IS 7 SP 4970 OP 4981 LK http://dx.doi.org/https://doi.org/10.1002/mp.17179 DO https://doi.org/10.1002/mp.17179 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)