Ira Ktena, DeepMind - Graph Representation Learning in Healthcare and Beyond скачать в хорошем качестве

Ira Ktena, DeepMind - Graph Representation Learning in Healthcare and Beyond

Recent work on neuroimaging has demonstrated significant benefits of using population graphs to capture non-imaging information in the prediction of neurodegenerative and neurodevelopmental disorders. This has been enabled by advances in the field of graph representation learning. The non-imaging attributes may contain demographic information about the individuals, but also the acquisition site, as imaging protocols and hardware might significantly differ across sites in large-scale studies. This talk will give an overview of the advances that graph representation learning has contributed to the fields of neuroimaging and connectomics in recent years. It will also discuss fairness considerations that arise when these models leverage sensitive attributes.