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
Non‐Invasive Detection of Early‐Stage Fatty Liver Disease v..:
Wang, Kaidong
;
Margolis, Samuel
;
Cho, Jae Min
...
Advanced Science. 11 (2024) 31 - p. , 2024
Link:
https://doi.org/10.1002/advs.202400596
RT Journal T1
Non‐Invasive Detection of Early‐Stage Fatty Liver Disease via an On‐Skin Impedance Sensor and Attention‐Based Deep Learning
UL https://suche.suub.uni-bremen.de/peid=cr-10.1002_advs.202400596&Exemplar=1&LAN=DE A1 Wang, Kaidong A1 Margolis, Samuel A1 Cho, Jae Min A1 Wang, Shaolei A1 Arianpour, Brian A1 Jabalera, Alejandro A1 Yin, Junyi A1 Hong, Wen A1 Zhang, Yaran A1 Zhao, Peng A1 Zhu, Enbo A1 Reddy, Srinivasa A1 Hsiai, Tzung K. PB Wiley YR 2024 SN 2198-3844 SN 2198-3844 JF Advanced Science VO 11 IS 31 LK http://dx.doi.org/https://doi.org/10.1002/advs.202400596 DO https://doi.org/10.1002/advs.202400596 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)