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Lee, Jimin
Radiation & Medical Intelligence Lab.
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DC Field Value Language
dc.citation.conferencePlace US -
dc.citation.title RSNA 2020 -
dc.contributor.author Chae, Hee-Dong -
dc.contributor.author Lee, Jimin -
dc.contributor.author Cho, Hyungjoo -
dc.contributor.author Hong, Sung Hwan -
dc.contributor.author Choi, Ja-Young -
dc.contributor.author Yoo, Hye Jin -
dc.contributor.author Yeoh, Hyunjung -
dc.contributor.author Ye, Sung-Joon -
dc.date.accessioned 2024-01-31T22:09:53Z -
dc.date.available 2024-01-31T22:09:53Z -
dc.date.created 2021-03-04 -
dc.date.issued 2020-11-29 -
dc.identifier.bibliographicCitation RSNA 2020 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/77759 -
dc.publisher RSNA -
dc.title Deep Learning-based CT Metal Artifact Reduction in the Lumbar Spine -
dc.type Conference Paper -
dc.date.conferenceDate 2020-11-29 -

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