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
Accurate and Fast Deep Learning Dose Prediction for a Precl..:
Florian Mentzel
;
Jason Paino
;
Micah Barnes
...
https://www.mdpi.com/2072-6694/15/7/2137. , 2023
Link:
https://doi.org/10.3390/cancers15072137
RT Journal T1
Accurate and Fast Deep Learning Dose Prediction for a Preclinical Microbeam Radiation Therapy Study Using Low-Statistics Monte Carlo Simulations
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:846fb2c4f9eb47ebb943af37531ae863&Exemplar=1&LAN=DE A1 Florian Mentzel A1 Jason Paino A1 Micah Barnes A1 Matthew Cameron A1 Stéphanie Corde A1 Elette Engels A1 Kevin Kröninger A1 Michael Lerch A1 Olaf Nackenhorst A1 Anatoly Rosenfeld A1 Moeava Tehei A1 Ah Chung Tsoi A1 Sarah Vogel A1 Jens Weingarten A1 Markus Hagenbuchner A1 Susanna Guatelli PB MDPI AG YR 2023 K1 microbeam radiation therapy K1 deep learning K1 dose prediction K1 Geant4 K1 Monte Carlo simulation K1 preclinical study K1 Neoplasms. Tumors. Oncology. Including cancer and carcinogens K1 RC254-282 JF https://www.mdpi.com/2072-6694/15/7/2137 LK http://dx.doi.org/https://doi.org/10.3390/cancers15072137 DO https://doi.org/10.3390/cancers15072137 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)