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Quantification of Thalamic Atrophy in MS: From the Multicenter Italian Neuroimaging Network Initiative Data Set to Clinical Application.

Loredana StorelliElisabetta PaganiPatrizia PantanoAntonio GalloNicola De StefanoMaria Assunta RoccaMassimo Filippinull null
Published in: AJNR. American journal of neuroradiology (2023)
Multimodal segmentation by FSL-MIST increased the robustness of the results with better capability to detect small variations in thalamic volumes.
Keyphrases
  • deep brain stimulation
  • mass spectrometry
  • deep learning
  • quality improvement
  • multiple sclerosis
  • convolutional neural network
  • electronic health record
  • ms ms
  • big data
  • cross sectional