all AI news
Multi-modal Variational Autoencoders for normative modelling across multiple imaging modalities. (arXiv:2303.12706v2 [cs.CV] UPDATED)
cs.CV updates on arXiv.org arxiv.org
One of the challenges of studying common neurological disorders is disease
heterogeneity including differences in causes, neuroimaging characteristics,
comorbidities, or genetic variation. Normative modelling has become a popular
method for studying such cohorts where the 'normal' behaviour of a
physiological system is modelled and can be used at subject level to detect
deviations relating to disease pathology. For many heterogeneous diseases, we
expect to observe abnormalities across a range of neuroimaging and biological
variables. However, thus far, normative models have …
arxiv become challenges disease imaging modelling multiple neuroimaging normal popular studying variational autoencoders