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A self-taught artificial agent for multi-physics computational model personalization.
Neumann, Dominik; Mansi, Tommaso; Itu, Lucian; Georgescu, Bogdan; Kayvanpour, Elham; Sedaghat-Hamedani, Farbod; Amr, Ali; Haas, Jan; Katus, Hugo; Meder, Benjamin; Steidl, Stefan; Hornegger, Joachim; Comaniciu, Dorin.
Afiliación
  • Neumann D; Medical Imaging Technologies, Siemens Healthcare GmbH, Erlangen, Germany; Pattern Recognition Lab, FAU Erlangen-Nürnberg, Erlangen, Germany. Electronic address: dominik.neumann@siemens.com.
  • Mansi T; Medical Imaging Technologies, Siemens Healthcare, Princeton, USA.
  • Itu L; Siemens Corporate Technology, Siemens SRL, Brasov, Romania; Transilvania University of Brasov, Brasov, Romania.
  • Georgescu B; Medical Imaging Technologies, Siemens Healthcare, Princeton, USA.
  • Kayvanpour E; Department of Internal Medicine III, University Hospital Heidelberg, Germany.
  • Sedaghat-Hamedani F; Department of Internal Medicine III, University Hospital Heidelberg, Germany.
  • Amr A; Department of Internal Medicine III, University Hospital Heidelberg, Germany.
  • Haas J; Department of Internal Medicine III, University Hospital Heidelberg, Germany.
  • Katus H; Department of Internal Medicine III, University Hospital Heidelberg, Germany.
  • Meder B; Department of Internal Medicine III, University Hospital Heidelberg, Germany.
  • Steidl S; Pattern Recognition Lab, FAU Erlangen-Nürnberg, Erlangen, Germany.
  • Hornegger J; Pattern Recognition Lab, FAU Erlangen-Nürnberg, Erlangen, Germany.
  • Comaniciu D; Medical Imaging Technologies, Siemens Healthcare, Princeton, USA.
Med Image Anal ; 34: 52-64, 2016 12.
Article en En | MEDLINE | ID: mdl-27133269
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Simulación por Computador / Inteligencia Artificial / Medicina de Precisión Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2016 Tipo del documento: Article
Texto completo
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XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Simulación por Computador / Inteligencia Artificial / Medicina de Precisión Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2016 Tipo del documento: Article