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In vivo magnetic resonance 31 P-Spectral Analysis With Neural Networks: 31P-SPAWNN.
Songeon, Julien; Courvoisier, Sébastien; Xin, Lijing; Agius, Thomas; Dabrowski, Oscar; Longchamp, Alban; Lazeyras, François; Klauser, Antoine.
Afiliación
  • Songeon J; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.
  • Courvoisier S; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.
  • Xin L; CIBM Center for Biomedical Imaging, Geneva, Switzerland.
  • Agius T; CIBM Center for Biomedical Imaging, Geneva, Switzerland.
  • Dabrowski O; Animal Imaging and Technology, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Longchamp A; Department of Vascular Surgery, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland.
  • Lazeyras F; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.
  • Klauser A; Department of Vascular Surgery, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland.
Magn Reson Med ; 89(1): 40-53, 2023 Jan.
Article en En | MEDLINE | ID: mdl-36161342
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Fósforo / Inteligencia Artificial Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: Suiza
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Fósforo / Inteligencia Artificial Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: Suiza