Optimization of null point in Look-Locker images for myocardial late gadolinium enhancement imaging using deep learning and a smartphone.

Detalles Bibliográficos
Publicado en:European Radiology Vol. 33; no. 7; pp. 4688 - 4698
Autores principales: Ohta, Yasutoshi, Tateishi, Emi, Morita, Yoshiaki, Nishii, Tatsuya, Kotoku, Akiyuki, Horinouchi, Hiroki, Fukuyama, Midori, Fukuda, Tetsuya
Formato: Journal Article
Publicado: Springer Nature Jul2023
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=164491486&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 164491486
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        09387994
        NPH
      jtl: European Radiology
      issn: 09387994
      maglogo: N
    pubinfo:
      dt: Jul2023
      vid: 33
      iid: 7
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        164491486
        10.1007/s00330-023-09465-8
        164491486
      ppf: 4688
      ppct: 10
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Optimization of null point in Look-Locker images for myocardial late gadolinium enhancement imaging using deep learning and a smartphone.
      aug:
        au:
          Ohta, Yasutoshi
          Tateishi, Emi
          Morita, Yoshiaki
          Nishii, Tatsuya
          Kotoku, Akiyuki
          Horinouchi, Hiroki
          Fukuyama, Midori
          Fukuda, Tetsuya
        affil: Department of Radiology, National Cerebral and Cardiovascular Center, 564-8565, Suita City, Osaka, Japan
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N