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1 Ergebnisse
1
Unmixing multi-spectral electrical impedance tomography (EI..:
, In:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
,
Touboul, Adrien
;
Zouari, Fedi
;
Minciullo, Luca
... - p. 576-579 , 2022
Link:
https://doi.org/10.1109/EMBC48229.2022.9871313
RT T1 <cTitle>2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)</cTitle>: T1 <Title>Unmixing multi-spectral electrical impedance tomography (EIT) predicts clinical-standard controlled attenuation parameter (CAP) for nonalcoholic fatty liver disease classification: a feasibility study</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9871313&Exemplar=1&LAN=DE A1 Touboul, Adrien A1 Zouari, Fedi A1 Minciullo, Luca A1 Modak, Dipyaman A1 Lee, Raymond M. V. A1 Wong, Eddie C. A1 Yuen, Man-Fung A1 Seto, Wai-Kay A1 Mak, Lung-Yi A1 Chan, Russell W. YR 2022 SN 2694-0604 K1 Electrical impedance tomography K1 Liver diseases K1 Estimation K1 Prediction methods K1 Conductivity K1 Attenuation K1 Frequency estimation SP 576 OP 579 LK http://dx.doi.org/https://doi.org/10.1109/EMBC48229.2022.9871313 DO https://doi.org/10.1109/EMBC48229.2022.9871313 SF ELIB - SuUB Bremen
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