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
Clinical characteristics and pathological features of undet..:
Yamamoto, Takahiro
;
Okada, Hiroaki
;
Matsunaga, Nozomu
...
Journal of Clinical Imaging Science. 14 (2024) - p. 20 , 2024
Link:
https://doi.org/10.25259/jcis_37_2024
RT Journal T1
Clinical characteristics and pathological features of undetectable clinically significant prostate cancer on multiparametric magnetic resonance imaging: A single-center and retrospective study
UL https://suche.suub.uni-bremen.de/peid=cr-10.25259_jcis_37_2024&Exemplar=1&LAN=DE A1 Yamamoto, Takahiro A1 Okada, Hiroaki A1 Matsunaga, Nozomu A1 Endo, Makoto A1 Tsuzuki, Toyonori A1 Kajikawa, Keishi A1 Suzuki, Kojiro PB Scientific Scholar YR 2024 SN 2156-5597 SN 2156-7514 JF Journal of Clinical Imaging Science VO 14 SP 20 LK http://dx.doi.org/https://doi.org/10.25259/jcis_37_2024 DO https://doi.org/10.25259/jcis_37_2024 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)