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Article: A data-driven deep learning pipeline for quantitative susceptibility mapping (QSM)

TitleA data-driven deep learning pipeline for quantitative susceptibility mapping (QSM)
Authors
WANG, ZXIA, PHuang, FWei, HHui, EMak, HKFCao, P
Issue Date2022
Citation
Magnetic Resonance Imaging, 2022, v. 88, p. 89-100 How to Cite?
DOI: http://dx.doi.org/10.1016/j.mri.2022.01.018
Persistent Identifierhttp://hdl.handle.net/10722/322468
ISI Accession Number ID
WOS:000821067100002

 

DC FieldValueLanguage
dc.contributor.authorWANG, Z-
dc.contributor.authorXIA, P-
dc.contributor.authorHuang, F-
dc.contributor.authorWei, H-
dc.contributor.authorHui, E-
dc.contributor.authorMak, HKF-
dc.contributor.authorCao, P-
dc.date.accessioned2022-11-14T08:24:09Z-
dc.date.available2022-11-14T08:24:09Z-
dc.date.issued2022-
dc.identifier.citationMagnetic Resonance Imaging, 2022, v. 88, p. 89-100-
dc.identifier.urihttp://hdl.handle.net/10722/322468-
dc.languageeng-
dc.relation.ispartofMagnetic Resonance Imaging-
dc.titleA data-driven deep learning pipeline for quantitative susceptibility mapping (QSM)-
dc.typeArticle-
dc.identifier.emailHuang, F: fhuang@hku.hk-
dc.identifier.emailMak, HKF: makkf@hku.hk-
dc.identifier.emailCao, P: caopeng1@hku.hk-
dc.identifier.authorityMak, HKF=rp00533-
dc.identifier.authorityCao, P=rp02474-
dc.identifier.doi10.1016/j.mri.2022.01.018-
dc.identifier.hkuros341600-
dc.identifier.volume88-
dc.identifier.spage89-
dc.identifier.epage100-
dc.identifier.isiWOS:000821067100002-

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