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Comparison of a Deep Learning-Accelerated vs. Conventional T2-Weighted Sequence in Biparametric MRI of the Prostate.
Tong, Angela; Bagga, Barun; Petrocelli, Robert; Smereka, Paul; Vij, Abhinav; Qian, Kun; Grimm, Robert; Kamen, Ali; Keerthivasan, Mahesh B; Nickel, Marcel Dominik; von Busch, Heinrich; Chandarana, Hersh.
Afiliación
  • Tong A; Department of Radiology, NYU Langone Health, New York, New York, USA.
  • Bagga B; Department of Radiology, NYU Langone Health, New York, New York, USA.
  • Petrocelli R; Department of Radiology, NYU Langone Health, New York, New York, USA.
  • Smereka P; Department of Radiology, NYU Langone Health, New York, New York, USA.
  • Vij A; Department of Radiology, NYU Langone Health, New York, New York, USA.
  • Qian K; Division of Biostatistics, Department of Population Health, Grossman School of Medicine, NYU Langone Health, New York, New York, USA.
  • Grimm R; MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
  • Kamen A; Digital Technology and Innovation, Siemens Healthineers, Princeton, New Jersey, USA.
  • Keerthivasan MB; MR R&D Collaborations, Siemens Medical Solutions USA, New York, New York, USA.
  • Nickel MD; MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
  • von Busch H; Digital and Automation, Siemens Healthcare, Erlangen, Germany.
  • Chandarana H; Department of Radiology, NYU Langone Health, New York, New York, USA.
J Magn Reson Imaging ; 58(4): 1055-1064, 2023 10.
Article en En | MEDLINE | ID: mdl-36651358
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Aprendizaje Profundo Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Male / Middle aged Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Aprendizaje Profundo Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Male / Middle aged Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos