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Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms.
Tax, Chantal Mw; Grussu, Francesco; Kaden, Enrico; Ning, Lipeng; Rudrapatna, Umesh; John Evans, C; St-Jean, Samuel; Leemans, Alexander; Koppers, Simon; Merhof, Dorit; Ghosh, Aurobrata; Tanno, Ryutaro; Alexander, Daniel C; Zappalà, Stefano; Charron, Cyril; Kusmia, Slawomir; Linden, David Ej; Jones, Derek K; Veraart, Jelle.
Afiliación
  • Tax CM; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom. Electronic address: taxc@cardiff.ac.uk.
  • Grussu F; Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom; Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
  • Kaden E; Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
  • Ning L; Harvard Medical School, Boston, MA, United States.
  • Rudrapatna U; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom.
  • John Evans C; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom.
  • St-Jean S; Image Sciences Institute, Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Leemans A; Image Sciences Institute, Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Koppers S; Department of Radiology, University of Pennsylvania and the Children's Hospital of Philadelphia, Philadelphia, PA, United States; Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany.
  • Merhof D; Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany.
  • Ghosh A; Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
  • Tanno R; Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom; Machine Intelligence and Perception Group, Microsoft Research Cambridge, Cambridge, United Kingdom.
  • Alexander DC; Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
  • Zappalà S; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom.
  • Charron C; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom.
  • Kusmia S; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom.
  • Linden DE; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom.
  • Jones DK; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom; Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
  • Veraart J; New York University, New York, NY, United States; imec-Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium.
Neuroimage ; 195: 285-299, 2019 07 15.
Article en En | MEDLINE | ID: mdl-30716459
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Procesamiento de Imagen Asistido por Computador / Mapeo Encefálico / Benchmarking / Imagen de Difusión por Resonancia Magnética Tipo de estudio: Guideline Límite: Adult / Female / Humans / Male Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Procesamiento de Imagen Asistido por Computador / Mapeo Encefálico / Benchmarking / Imagen de Difusión por Resonancia Magnética Tipo de estudio: Guideline Límite: Adult / Female / Humans / Male Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article