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Feasibility of deep learning reconstruction for accelerated fat-suppressed TSE sequences in knee MRI: comparison with conventional fat-suppressed TSE sequences
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim Baek Hyun | - |
| dc.date.accessioned | 2022-11-19T17:42:04Z | - |
| dc.date.available | 2022-11-19T17:42:04Z | - |
| dc.date.created | 2022-11-19 | - |
| dc.date.issued | 2022-09-23 | - |
| dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/145976 | - |
| dc.publisher | AOCR & KCR | - |
| dc.title | Feasibility of deep learning reconstruction for accelerated fat-suppressed TSE sequences in knee MRI: comparison with conventional fat-suppressed TSE sequences | - |
| dc.title.alternative | Feasibility of deep learning reconstruction for accelerated fat-suppressed TSE sequences in knee MRI: comparison with conventional fat-suppressed TSE sequences | - |
| dc.type | Conference | - |
| dc.contributor.affiliatedAuthor | Kim Baek Hyun | - |
| dc.identifier.bibliographicCitation | AOCR 2022 & KCR 2022, pp.510 | - |
| dc.relation.isPartOf | AOCR 2022 & KCR 2022 | - |
| dc.relation.isPartOf | AOCR 2022 & KCR 2022 | - |
| dc.citation.title | AOCR 2022 & KCR 2022 | - |
| dc.citation.startPage | 510 | - |
| dc.citation.endPage | 510 | - |
| dc.citation.conferencePlace | KO | - |
| dc.citation.conferencePlace | Koex, Seoul | - |
| dc.citation.conferenceDate | 2022-09-20 | - |
| dc.type.rims | CONF | - |
| dc.description.journalClass | 2 | - |
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