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Deep Learning-Enhanced Parallel Imaging and Simultaneous Multislice Acceleration Reconstruction in Knee MRI.
Kim, MinWoo; Lee, Sang-Min; Park, Chankue; Lee, Dongeon; Kim, Kang Soo; Jeong, Hee Seok; Kim, Shinyoung; Choi, Min-Hyeok; Nickel, Dominik.
Afiliação
  • Kim M; From the School of Biomedical Convergence Engineering, College of Information and BioMedical Engineering, Pusan National University.
  • Lee SM; Department of Orthopaedic Surgery, Research Institute for Convergence of Biomedical Science and Technology.
  • Park C; Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan.
  • Lee D; From the School of Biomedical Convergence Engineering, College of Information and BioMedical Engineering, Pusan National University.
  • Kim KS; Siemens Healthineers Ltd, Seoul.
  • Jeong HS; Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan.
  • Kim S; Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan.
  • Choi MH; Department of Preventive and Occupational and Environmental Medicine, Pusan National University Yangsan Hospital, Pusan National University, Yangsan, South Korea.
  • Nickel D; MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
Invest Radiol ; 57(12): 826-833, 2022 12 01.
Article em En | MEDLINE | ID: mdl-35776434
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Artropatias Tipo de estudo: Guideline / Observational_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Artropatias Tipo de estudo: Guideline / Observational_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Ano de publicação: 2022 Tipo de documento: Article