Motion artifact removal in coronary CT angiography based on generative adversarial networks.
| Publicado en: | European Radiology Vol. 33; no. 1; pp. 43 - 54 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jan2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=160821801&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 160821801 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jan2023 vid: 33 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 160821801 157951864 10.1007/s00330-022-08971-5 160821801 ppf: 43 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Motion artifact removal in coronary CT angiography based on generative adversarial networks. aug: au: Zhang, Lu Jiang, Beibei Chen, Qiang Wang, Lingyun Zhao, Keke Zhang, Yaping Vliegenthart, Rozemarijn Xie, Xueqian affil: Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Haining Rd.100, 200080, Shanghai, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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