22 citations · 22 across the 3 of their papers we have counts for
3 papers
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…
Distributional Gaussian Processes Layers for Out-of-Distribution Detection
Sebastian G. Popescu, David J. Sharp, James H. Cole +2
Machine learning models deployed on medical imaging tasks must be equipped with out-of-distribution detection capabilities in order to avoid erroneous predictions. It is unsure whe…
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
James H Cole, Rudra PK Poudel, Dimosthenis Tsagkrasoulis +4
Machine learning analysis of neuroimaging data can accurately predict chronological age in healthy people and deviations from healthy brain ageing have been associated with cogniti…