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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.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-37567235
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Machine Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: Phys Med Biol Year: 2023 Document type: Article Affiliation country: Alemania
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Machine Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: Phys Med Biol Year: 2023 Document type: Article Affiliation country: Alemania