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Accelerated diffusion-weighted imaging of the prostate using deep learning image reconstruction: A retrospective comparison with standard diffusion-weighted imaging.
Ursprung, Stephan; Herrmann, Judith; Joos, Natalie; Weiland, Elisabeth; Benkert, Thomas; Almansour, Haidara; Lingg, Andreas; Afat, Saif; Gassenmaier, Sebastian.
Afiliación
  • Ursprung S; Department of Radiology, University Hospital Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany.
  • Herrmann J; Department of Radiology, University Hospital Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany.
  • Joos N; Department of Radiology, University Hospital Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany.
  • Weiland E; MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
  • Benkert T; MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
  • Almansour H; Department of Radiology, University Hospital Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany.
  • Lingg A; Department of Radiology, University Hospital Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany.
  • Afat S; Department of Radiology, University Hospital Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany. Electronic address: saif.afat@med.uni-tuebingen.de.
  • Gassenmaier S; Department of Radiology, University Hospital Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany.
Eur J Radiol ; 165: 110953, 2023 Aug.
Article en En | MEDLINE | ID: mdl-37399667

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Aprendizaje Profundo Tipo de estudio: Observational_studies Límite: Humans / Male Idioma: En Revista: Eur J Radiol Año: 2023 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Aprendizaje Profundo Tipo de estudio: Observational_studies Límite: Humans / Male Idioma: En Revista: Eur J Radiol Año: 2023 Tipo del documento: Article País de afiliación: Alemania