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A Combined Region- and Pixel-Based Deep Learning Approach for Quantifying Abdominal Adipose Tissue in Adolescents Using Dixon Magnetic Resonance Imaging.
Ogunleye, Olanrewaju A; Raviprakash, Harish; Simmons, Ashlee M; Bovell, Rhasaan T M; Martinez, Pedro E; Yanovski, Jack A; Berman, Karen F; Schmidt, Peter J; Jones, Elizabeth C; Bagheri, Hadi; Biassou, Nadia M; Hsu, Li-Yueh.
Afiliación
  • Ogunleye OA; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
  • Raviprakash H; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
  • Simmons AM; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
  • Bovell RTM; Behavioral Endocrinology Branch, Division of Intramural Research, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
  • Martinez PE; Behavioral Endocrinology Branch, Division of Intramural Research, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
  • Yanovski JA; Section on Growth and Obesity, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA.
  • Berman KF; Clinical and Translational Neuroscience Branch, Division of Intramural Research, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
  • Schmidt PJ; Behavioral Endocrinology Branch, Division of Intramural Research, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
  • Jones EC; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
  • Bagheri H; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
  • Biassou NM; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
  • Hsu LY; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
Tomography ; 9(1): 139-149, 2023 01 15.
Article en En | MEDLINE | ID: mdl-36648999
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Adolescent / Child / Humans Idioma: En Revista: Tomography Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Adolescent / Child / Humans Idioma: En Revista: Tomography Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza