A Deep Generative Model of Neonatal Cortical Surface Development. (arXiv:2206.07542v2 [q-bio.NC] UPDATED)

Web: http://arxiv.org/abs/2206.07542

The neonatal cortical surface is known to be affected by preterm birth, and
the subsequent changes to cortical organisation have been associated with
poorer neurodevelopmental outcomes. Deep Generative models have the potential
to lead to clinically interpretable models of disease, but developing these on
the cortical surface is challenging since established techniques for learning
convolutional filters are inappropriate on non-flat topologies. To close this
gap, we implement a surface-based CycleGAN using mixture model CNNs (MoNet) to
translate sphericalised neonatal cortical …

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