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Enforcing geometry in machine learning for computational neuroimaging

The June forum centers on the vital role of geometric principles in machine learning applications for medical imaging. The first presentation by Ali Khan will address machine learning applications in computational neuroimaging, exploring how geometry can inform the representation of neuroanatomy. The second presentation by Uzair Hussain will explore geometric machine learning in computational diffusion MRI, describing a novel approach for performing machine learning on data modelled as a sphere. The talks will be followed by discussion focused on lessons learned, opportunities to collaborate, and sharing of resources.