5 papers
Laplace-Mixture Dipole Inversion for Quantitative Susceptibility Mapping
Shuai Huang, James J. Lah, Jason W. Allen +1
Purpose: To develop an automatic dipole inversion method for quantitative susceptibility mapping (QSM) that preserves fine anatomical structures without the need for manual regular…
Non-linear associations of amyloid- with resting-state functional networks and their cognitive relevance in a large community-based cohort of cognitively normal older adults
Junjie Wu, Benjamin B Risk, Taylor A James +6
Background: Non-linear alterations in brain network connectivity may represent early neural signatures of Alzheimer's disease (AD) pathology in cognitively normal older adults. Und…
Atlas-free Brain Network Transformer
Shuai Huang, Xuan Kan, James J. Lah +1
Current atlas-based approaches to brain network analysis rely heavily on standardized anatomical or connectivity-driven brain atlases. However, these fixed atlases often introduce…
Agentic AI for Scaling Diagnosis and Care in Neurodegenerative Disease
Andrew G. Breithaupt, Michael Weiner, Alice Tang +14
United States healthcare systems are struggling to meet the growing demand for neurological care, particularly in Alzheimer's disease and related dementias (ADRD). Generative AI bu…
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…