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Article: Unmixing multi-spectral electrical impedance tomography (EIT) predicts clinical-standard controlled attenuation parameter (CAP) for nonalcoholic fatty liver disease classification: a feasibility study
Title | Unmixing multi-spectral electrical impedance tomography (EIT) predicts clinical-standard controlled attenuation parameter (CAP) for nonalcoholic fatty liver disease classification: a feasibility study |
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Authors | |
Issue Date | 2022 |
Publisher | IEEE. |
Citation | 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, p. 576-579 How to Cite? |
Persistent Identifier | http://hdl.handle.net/10722/317386 |
DC Field | Value | Language |
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dc.contributor.author | Touboul, A | - |
dc.contributor.author | Zouar, F | - |
dc.contributor.author | Minciullo, L | - |
dc.contributor.author | Modak, D | - |
dc.contributor.author | Lee, RMV | - |
dc.contributor.author | Wong, EC | - |
dc.contributor.author | Yuen, RMF | - |
dc.contributor.author | Seto, WKW | - |
dc.contributor.author | Mak, LY | - |
dc.contributor.author | Chan, RW | - |
dc.date.accessioned | 2022-10-07T10:19:34Z | - |
dc.date.available | 2022-10-07T10:19:34Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, p. 576-579 | - |
dc.identifier.uri | http://hdl.handle.net/10722/317386 | - |
dc.language | eng | - |
dc.publisher | IEEE. | - |
dc.relation.ispartof | 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) | - |
dc.rights | 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Copyright © IEEE. | - |
dc.rights | ©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.title | Unmixing multi-spectral electrical impedance tomography (EIT) predicts clinical-standard controlled attenuation parameter (CAP) for nonalcoholic fatty liver disease classification: a feasibility study | - |
dc.type | Article | - |
dc.identifier.email | Yuen, RMF: mfyuen@hku.hk | - |
dc.identifier.email | Seto, WKW: wkseto@hku.hk | - |
dc.identifier.email | Mak, LY: lungyi@hku.hk | - |
dc.identifier.authority | Yuen, RMF=rp00479 | - |
dc.identifier.authority | Seto, WKW=rp01659 | - |
dc.identifier.authority | Mak, LY=rp02668 | - |
dc.identifier.doi | 10.1109/EMBC48229.2022.9871313 | - |
dc.identifier.hkuros | 336942 | - |
dc.identifier.spage | 576 | - |
dc.identifier.epage | 579 | - |