Franco Pestilli — accepted AI-conference papers

2019

Learning Macroscopic Brain Connectomes via Group-Sparse Factorization

Farzane Aminmansour, Andrew Patterson, Lei Le, Yisu Peng, Daniel Mitchell, Franco Pestilli +3

NeurIPS 2019poster

Mapping structural brain connectomes for living human brains typically requires expert analysis and rule-based models on diffusion-weighted magnetic resonance imaging. A data-driven approach, however, could overcome limitations in such rule-based approaches and improve precision mappings for individ…

Cited by 5 Source ↗PDF ↗code ↗Scholar ↗

2017

Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays

Cesar F. Caiafa, Olaf Sporns, Andrew Saykin, Franco Pestilli

NeurIPS 2017poster

Recently, linear formulations and convex optimization methods have been proposed to predict diffusion-weighted Magnetic Resonance Imaging (dMRI) data given estimates of brain connections generated using tractography algorithms. The size of the linear models comprising such methods grows with both dM…

Cited by 13 Source ↗PDF ↗Scholar ↗