3 papers
q-bio.QM2026
Discovering Subtypes of Neurodegenerative Progression with a Scalable Connectome-Constrained Dynamic Model
Daniel Semchin, Emile d'Angremont, Hao Ding +6
Parkinson's disease is clinically and biologically heterogeneous, yet its spatiotemporal progression remains poorly characterized. We present a connectome-constrained disease progr…
cs.CV2026
Predicting Brain Morphometry with MT-GNN: Mesh Evolution in Continuous Time with Graph-Based Metric Tensor Embeddings
Hao Ding, Daniel Semchin, Paul M. Thompson +1
Predicting how a subcortical structure's shape will evolve from a few prior scans could support prognosis and clinical-trial enrichment. Existing longitudinal mesh predictors eithe…
q-bio.QM2025
Scalable Modeling of Nonlinear Network Dynamics in Neurodegenerative Disease
Daniel Semchin, Emile d'Angremont, Marco Lorenzi +1
Mechanistic models of progressive neurodegeneration offer great potential utility for clinical use and novel treatment development. Toward this end, several connectome-informed mod…