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.CV2024
Normative Diffusion Autoencoders: Application to Amyotrophic Lateral Sclerosis
Ayodeji Ijishakin, Adamos Hadjasavilou, Ahmed Abdulaal +7
Predicting survival in Amyotrophic Lateral Sclerosis (ALS) is a challenging task. Magnetic resonance imaging (MRI) data provide in vivo insight into brain health, but the low preva…
eess.IV2024
Semi-Supervised Diffusion Model for Brain Age Prediction
Ayodeji Ijishakin, Sophie Martin, Florence Townend +8
Brain age prediction models have succeeded in predicting clinical outcomes in neurodegenerative diseases, but can struggle with tasks involving faster progressing diseases and low…