3 papers
cs.CV2025
DeepJIVE: Learning Joint and Individual Variation Explained from Multimodal Data Using Deep Learning
Matthew Drexler, Benjamin Risk, James J Lah +2
Conventional multimodal data integration methods provide a comprehensive assessment of the shared or unique structure within each individual data type but suffer from several limit…
stat.AP2024
Heterogeneous Image-based Classification Using Distributional Data Analysis
Alec Reinhardt, Newsha Nikzad, Raven J. Hollis +9
Diagnostic imaging has gained prominence as potential biomarkers for early detection and diagnosis in a diverse array of disorders including cancer. However, existing methods routi…
q-bio.NC2023
Bayesian longitudinal tensor response regression for modeling neuroplasticity
Suprateek Kundu, Alec Reinhardt, Serena Song +4
A major interest in longitudinal neuroimaging studies involves investigating voxel-level neuroplasticity due to treatment and other factors across visits. However, traditional voxe…