2 papers
cs.CV2025
GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease
Wenjie Kang, Lize Jiskoot, Peter De Deyn +8
Deep learning methods based on Convolutional Neural Networks (CNNs) have shown great potential to improve early and accurate diagnosis of Alzheimer's disease (AD) dementia based on…
stat.ML2024
Identifying latent disease factors differently expressed in patient subgroups using group factor analysis
Fabio S. Ferreira, John Ashburner, Arabella Bouzigues +33
In this study, we propose a novel approach to uncover subgroup-specific and subgroup-common latent factors addressing the challenges posed by the heterogeneity of neurological and…