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Region of interest focused MRI to synthetic CT translation using regression and segmentation multi-task network.
Kaushik, Sandeep S; Bylund, Mikael; Cozzini, Cristina; Shanbhag, Dattesh; Petit, Steven F; Wyatt, Jonathan J; Menzel, Marion I; Pirkl, Carolin; Mehta, Bhairav; Chauhan, Vikas; Chandrasekharan, Kesavadas; Jonsson, Joakim; Nyholm, Tufve; Wiesinger, Florian; Menze, Bjoern.
Afiliação
  • Kaushik SS; GE Healthcare, Munich, Germany.
  • Bylund M; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
  • Cozzini C; Department of Radiation Sciences, UmeåUniversity, Umea, Sweden.
  • Shanbhag D; GE Healthcare, Munich, Germany.
  • Petit SF; GE Healthcare, Bangalore, India.
  • Wyatt JJ; Department of Radiotherapy, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
  • Menzel MI; Translational and Clinical Research Institute, Newcastle University and Northern Centre for Cancer Care, Newcastle upon Tyne Hospitals NHS Foundation Trust, United Kingdom.
  • Pirkl C; GE Healthcare, Munich, Germany.
  • Mehta B; Dept. of Physics, Technical University of Munich, Munich, Germany.
  • Chauhan V; GE Healthcare, Munich, Germany.
  • Chandrasekharan K; GE Healthcare, Bangalore, India.
  • Jonsson J; Sree Chitra Tirunal Institute of Medical Sciences and Technology (SCTIMST), Trivandrum, India.
  • Nyholm T; Sree Chitra Tirunal Institute of Medical Sciences and Technology (SCTIMST), Trivandrum, India.
  • Wiesinger F; Department of Radiation Sciences, UmeåUniversity, Umea, Sweden.
  • Menze B; Department of Radiation Sciences, UmeåUniversity, Umea, Sweden.
Phys Med Biol ; 68(19)2023 09 18.
Article em En | MEDLINE | ID: mdl-37567235
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article