60 citations · 61 across the 2 of their papers we have counts for
2 papers
q-bio.QM2019★ 1 cited
Modeling and inference of spatio-temporal protein dynamics across brain networks
Sara Garbarino, Marco Lorenzi
Models of misfolded proteins (MP) aim at discovering the bio-mechanical propagation properties of neurological diseases (ND) by identifying plausible associated dynamical systems.…
cs.CV2019★ 60 cited
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi +5
Here we present DIVE: Data-driven Inference of Vertexwise Evolution. DIVE is an image-based disease progression model with single-vertex resolution, designed to reconstruct long-te…