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Conference Paper: Synthetic MRI through a Deep Neural Network Based Relaxometry and Segmentation

TitleSynthetic MRI through a Deep Neural Network Based Relaxometry and Segmentation
Authors
Cao, PLiu, JTang, SYLeynes, ALarson, P
Issue Date2019
PublisherInternational Society for Magnetic Resonance in Medicine.
Citation
The 27th Annual Meeting & Exhibition of International Society for Magnetic Resonance in Medicine (ISMRM), Montreal, Canada, 11-16 May 2019  How to Cite?
DescriptionPower Pitch Session: Neuro: Artificial Intelligence Neuro - no. 0016
Persistent Identifierhttp://hdl.handle.net/10722/275848

 

DC FieldValueLanguage
dc.contributor.authorCao, P-
dc.contributor.authorLiu, J-
dc.contributor.authorTang, SY-
dc.contributor.authorLeynes, A-
dc.contributor.authorLarson, P-
dc.date.accessioned2019-09-10T02:50:52Z-
dc.date.available2019-09-10T02:50:52Z-
dc.date.issued2019-
dc.identifier.citationThe 27th Annual Meeting & Exhibition of International Society for Magnetic Resonance in Medicine (ISMRM), Montreal, Canada, 11-16 May 2019 -
dc.identifier.urihttp://hdl.handle.net/10722/275848-
dc.descriptionPower Pitch Session: Neuro: Artificial Intelligence Neuro - no. 0016-
dc.languageeng-
dc.publisherInternational Society for Magnetic Resonance in Medicine. -
dc.relation.ispartofISMRM (International Society for Magnetic Resonance in Medicine) 27th Annual Meeting, 2019-
dc.titleSynthetic MRI through a Deep Neural Network Based Relaxometry and Segmentation-
dc.typeConference_Paper-
dc.identifier.emailCao, P: caopeng1@hku.hk-
dc.identifier.authorityCao, P=rp02474-
dc.identifier.hkuros304760-
dc.publisher.placeUnited States-

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