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The Feasibility of Deep Learning-Based Reconstruction for Low-Tube-Voltage CT Angiography for Transcatheter Aortic Valve Implantation.
Kojima, Tsukasa; Yamasaki, Yuzo; Matsuura, Yuko; Mikayama, Ryoji; Shirasaka, Takashi; Kondo, Masatoshi; Kamitani, Takeshi; Kato, Toyoyuki; Ishigami, Kousei; Yabuuchi, Hidetake.
Afiliação
  • Kojima T; From the Division of Radiology, Department of Medical Technology, Kyushu University Hospital.
  • Yamasaki Y; Departments of Clinical Radiology.
  • Matsuura Y; Departments of Clinical Radiology.
  • Kondo M; Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Kamitani T; Departments of Clinical Radiology.
  • Kato T; From the Division of Radiology, Department of Medical Technology, Kyushu University Hospital.
  • Ishigami K; Departments of Clinical Radiology.
  • Yabuuchi H; Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan.
J Comput Assist Tomogr ; 48(1): 77-84, 2024.
Article em En | MEDLINE | ID: mdl-37574664
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Substituição da Valva Aórtica Transcateter / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Substituição da Valva Aórtica Transcateter / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article