Search Results for author: Sara Garbarino

Found 2 papers, 2 papers with code

Date Published Github Stars

Modeling and inference of spatio-temporal protein dynamics across brain networks

2 code implementations • 18 Jan 2019 • 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.

Uncertainty Quantification Variational Inference

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DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders

1 code implementation • 11 Jan 2019 • Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander

Here we present DIVE: Data-driven Inference of Vertexwise Evolution.

Management

4
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