Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation

@inproceedings{Gopinath2020GraphDA,
  title={Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation},
  author={Karthik Gopinath and Christian Desrosiers and H. Lombaert},
  booktitle={UNSURE/GRAIL@MICCAI},
  year={2020}
}
The varying cortical geometry of the brain creates numerous challenges for its analysis. Recent developments have enabled learning surface data directly across multiple brain surfaces via graph convolutions on cortical data. However, current graph learning algorithms do fail when brain surface data are misaligned across subjects, thereby affecting their ability to deal with data from multiple domains. Adversarial training is widely used for domain adaptation to improve the segmentation… 

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