Correction to: Deep learning-based reconstruction improves the image quality of low-dose CT enterography in patients with inflammatory bowel disease.

A correction notice was issued for an article titled "Deep learning-based reconstruction improves the image quality of low-dose CT enterography in patients with inflammatory bowel disease" in the journal Abdominal Radiology. The correction added a note acknowledging equal contributions from Weitao H...

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Publicado en:Abdominal Radiology Vol. 50; no. 6; pp. 2781 - 2782
Autores principales: He, Weitao, Xu, Ping, Zhang, Mengchen, Xu, Rulin, Shen, Xiaodi, Mao, Ren, Li, Xue-hua, Sun, Can-hui, Zhang, Ruo-nan, Lin, Shaochun
Formato: Journal Article
Publicado: Springer Nature Jun2025
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Correction to: Deep learning-based reconstruction improves the image quality of low-dose CT enterography in patients with inflammatory bowel disease.
      aug:
        au:
          He, Weitao
          Xu, Ping
          Zhang, Mengchen
          Xu, Rulin
          Shen, Xiaodi
          Mao, Ren
          Li, Xue-hua
          Sun, Can-hui
          Zhang, Ruo-nan
          Lin, Shaochun
        affil: https://ror.org/037p24858 First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
      sug:
      ab: A correction notice was issued for an article titled "Deep learning-based reconstruction improves the image quality of low-dose CT enterography in patients with inflammatory bowel disease" in the journal Abdominal Radiology. The correction added a note acknowledging equal contributions from Weitao He, Ping Xu, and Mengchen Zhang. The original article has been updated to reflect this correction. The publisher, Springer Nature, maintains neutrality regarding jurisdictional claims and institutional affiliations.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Unknown
    language: English
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