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E03 Accuracy of automated amygdala MRI segmentation approaches in the image-hd cohort

Authors

  • Bonnie Alexander 1Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia 2Murdoch Children’s Research Institute, Melbourne, Australia PubMed articlesGoogle scholar articles
  • Nellie Georgiou-Karistianis 1Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia PubMed articlesGoogle scholar articles
  • Richard Beare 1Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia 3Department of Medicine, Monash University, Melbourne, Australia PubMed articlesGoogle scholar articles
  • Lotta M Ahveninen 1Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia PubMed articlesGoogle scholar articles
  • Julie C Stout 1Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia PubMed articlesGoogle scholar articles
  • Yifat Glikmann-Johnston 1Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia PubMed articlesGoogle scholar articles

Citation

Alexander B, Georgiou-Karistianis N, Beare R, et al
E03 Accuracy of automated amygdala MRI segmentation approaches in the image-hd cohort
Journal of Neurology, Neurosurgery & Psychiatry 2018;89:A36.
Online issue publication 
May 13, 2022

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