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Fat Water Classification of Symmetrically Sampled Two-Point Dixon Images Using Biased Partial Volume Effects
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
Linköping University, Department of Medical and Health Sciences, Radiation Physics. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Faculty of Health Sciences.
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Medical and Health Sciences, Radiation Physics. Linköping University, Faculty of Health Sciences.ORCID iD: 0000-0003-4630-6550
Linköping University, Department of Clinical and Experimental Medicine, Gastroenterology and Hepatology. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Center, Department of Endocrinology and Gastroenterology UHL.
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2011 (English)In: Proceedings of the annual meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2011), 2011., 2011Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2011.
National Category
Medical Laboratory and Measurements Technologies Computer Vision and Robotics (Autonomous Systems) Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:liu:diva-67851OAI: oai:DiVA.org:liu-67851DiVA: diva2:413659
Conference
ISMRM 2011, 19th Annual meeting & Exhibition, ISMRM, Montréal, Québec, Canada, 7-13 May 2011
Available from: 2011-04-29 Created: 2011-04-29 Last updated: 2015-02-01

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Romu, ThobiasDahlqvist Leinhard, OlofForsgren, MikaelAlmer, SvenDahlström, NilsKechagias, StergiosNyström, FredrikSmedby, ÖrjanLundberg, PeterBorga, Magnus

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Romu, ThobiasDahlqvist Leinhard, OlofForsgren, MikaelAlmer, SvenDahlström, NilsKechagias, StergiosNyström, FredrikSmedby, ÖrjanLundberg, PeterBorga, Magnus
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Center for Medical Image Science and Visualization (CMIV)Medical InformaticsThe Institute of TechnologyRadiation PhysicsFaculty of Health SciencesGastroenterology and HepatologyDepartment of Endocrinology and Gastroenterology UHLRadiologyInternal MedicineDepartment of Radiology in LinköpingDepartment of Radiation Physics
Medical Laboratory and Measurements TechnologiesComputer Vision and Robotics (Autonomous Systems)Radiology, Nuclear Medicine and Medical Imaging

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CiteExportLink to record
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  • harvard1
  • ieee
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