Compressed sensing and deep learning reconstruction for women's pelvic MRI denoising: Utility for improving image quality and examination time in routine clinical practice

Takahiro Ueda, Yoshiharu Ohno, Kaori Yamamoto, Akiyoshi Iwase, Takashi Fukuba, Satomu Hanamatsu, Yuki Obama, Hirotaka Ikeda, Masato Ikedo, Masao Yui, Kazuhiro Murayama, Hiroshi Toyama

研究成果: ジャーナルへの寄稿学術論文査読

56 被引用数 (Scopus)

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「Compressed sensing and deep learning reconstruction for women's pelvic MRI denoising: Utility for improving image quality and examination time in routine clinical practice」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

Keyphrases

Neuroscience

Nursing and Health Professions