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    • Meritxell Bach Cuadra
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New paper: CVSnet – A machine learning approach for automated central vein sign assessment in multiple sclerosis

Meritxell Bach Cuadra News, Scientific publication, Work news 30 March 20208 July 2020centralvein, classification, machinelearning, MRI, multiplesclerosis

New paper accepted in “NMR in Biomedicine” by Pietro Maggi an co-authors on automated central vein sign assessment in multiple sclerosis.

Pre-print of the paper here.
  • ← New paper: Improved susceptibility‐weighted imaging for high contrast and resolution thalamic nuclei mapping at 7T
  • MICCAI 2020 papers: congratulations to H. Lajous and F. La Rosa ! →
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