3 papers
cs.CV2024
Disentangled Diffusion Autoencoder for Harmonization of Multi-site Neuroimaging Data
Ayodeji Ijishakin, Ana Lawry Aguila, Elizabeth Levitis +3
Combining neuroimaging datasets from multiple sites and scanners can help increase statistical power and thus provide greater insight into subtle neuroanatomical effects. However,…
cs.LG2024
A tutorial on multi-view autoencoders using the multi-view-AE library
Ana Lawry Aguila, Andre Altmann
There has been a growing interest in recent years in modelling multiple modalities (or views) of data to for example, understand the relationship between modalities or to generate…
q-bio.GN2023
Tackling the dimensions in imaging genetics with CLUB-PLS
Andre Altmann, Ana C Lawry Aguila, Neda Jahanshad +2
A major challenge in imaging genetics and similar fields is to link high-dimensional data in one domain, e.g., genetic data, to high dimensional data in a second domain, e.g., brai…