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Denoising of three-dimensional fast spin echo magnetic resonance images of knee joints using spatial-variant noise-relevant residual learning of convolution neural network.
Zhao, Shutian; Cahill, Dónal G; Li, Siyue; Xiao, Fan; Blu, Thierry; Griffith, James F; Chen, Weitian.
Afiliación
  • Zhao S; CU Lab for AI in Radiology (CLAIR), Department of Imaging and Interventional Radiology, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China. Electronic address: shutian@link.cuhk.edu.hk.
  • Cahill DG; CU Lab for AI in Radiology (CLAIR), Department of Imaging and Interventional Radiology, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China. Electronic address: donalcahill@cuhk.edu.hk.
  • Li S; CU Lab for AI in Radiology (CLAIR), Department of Imaging and Interventional Radiology, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China. Electronic address: 1155105213@link.cuhk.edu.hk.
  • Xiao F; CU Lab for AI in Radiology (CLAIR), Department of Imaging and Interventional Radiology, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China. Electronic address: freidaxiao@gmail.com.
  • Blu T; Department of Electronic Engineering, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China. Electronic address: thierry.blu@gmail.com.
  • Griffith JF; CU Lab for AI in Radiology (CLAIR), Department of Imaging and Interventional Radiology, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China. Electronic address: griffith@cuhk.edu.hk.
  • Chen W; CU Lab for AI in Radiology (CLAIR), Department of Imaging and Interventional Radiology, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China. Electronic address: wtchen@cuhk.edu.hk.
Comput Biol Med ; 151(Pt A): 106295, 2022 12.
Article en En | MEDLINE | ID: mdl-36423533
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Articulación de la Rodilla Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Articulación de la Rodilla Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos