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MIMoSA: An Automated Method for Intermodal Segmentation Analysis of Multiple Sclerosis Brain Lesions.

Alessandra M ValcarcelKristin A LinnSimon N VandekarTheodore D SatterthwaiteJohn MuschelliPeter A CalabresiDzung L PhamMelissa Lynne MartinRussell T Shinohara
Published in: Journal of neuroimaging : official journal of the American Society of Neuroimaging (2018)
MIMoSA resulted in statistically significant improvements in lesion segmentation performance compared with LesionTOADS and OASIS, and performed competitively in an additional validation study.
Keyphrases
  • multiple sclerosis
  • convolutional neural network
  • deep learning
  • white matter
  • resting state
  • functional connectivity
  • cerebral ischemia
  • machine learning