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Dynamic parametric MRI and deep learning: Unveiling renal pathophysiology through accurate kidney size quantification.
Klein, Tobias; Gladytz, Thomas; Millward, Jason M; Cantow, Kathleen; Hummel, Luis; Seeliger, Erdmann; Waiczies, Sonia; Lippert, Christoph; Niendorf, Thoralf.
Afiliação
  • Klein T; Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
  • Gladytz T; Digital Health - Machine Learning Research Group, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany.
  • Millward JM; Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
  • Cantow K; Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
  • Hummel L; Institute of Translational Physiology, Charité - Universitätsmedizin, Berlin, Germany.
  • Seeliger E; Institute of Translational Physiology, Charité - Universitätsmedizin, Berlin, Germany.
  • Waiczies S; Institute of Translational Physiology, Charité - Universitätsmedizin, Berlin, Germany.
  • Lippert C; Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
  • Niendorf T; Digital Health - Machine Learning Research Group, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany.
NMR Biomed ; 37(4): e5075, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38043545
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Compostos Organofosforados / Triazóis / Aprendizado Profundo Limite: Animals Idioma: En Revista: NMR Biomed Assunto da revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Compostos Organofosforados / Triazóis / Aprendizado Profundo Limite: Animals Idioma: En Revista: NMR Biomed Assunto da revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha