Learned energy-flexible algorithm using joint sparsity for dual-energy CT: a preliminary study
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Donghyeon | ko |
| dc.contributor.author | Cho, Seungryong | ko |
| dc.date.accessioned | 2021-08-03T07:30:30Z | - |
| dc.date.available | 2021-08-03T07:30:30Z | - |
| dc.date.created | 2021-08-02 | - |
| dc.date.issued | 2021-07-21 | - |
| dc.identifier.citation | 16th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D 2021) | - |
| dc.identifier.uri | http://hdl.handle.net/10203/287001 | - |
| dc.language | English | - |
| dc.publisher | Fully3D | - |
| dc.title | Learned energy-flexible algorithm using joint sparsity for dual-energy CT: a preliminary study | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 16th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D 2021) | - |
| dc.identifier.conferencecountry | BE | - |
| dc.identifier.conferencelocation | Virtual | - |
| dc.contributor.localauthor | Cho, Seungryong | - |
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