An augmentation strategy to mimic multi-scanner variability in MRI

1 code implementation • 23 Mar 2021 • Maria Ines Meyer, Ezequiel de la Rosa, Nuno Barros, Roberto Paolella, Koen van Leemput, Diana M. Sima

Most publicly available brain MRI datasets are very homogeneous in terms of scanner and protocols, and it is difficult for models that learn from such data to generalize to multi-center and multi-scanner data.

Data Augmentation