Spatially constrained sparse regression for the data-driven discovery of neuroimaging biomarkers

/in /by
Spatially constrained sparse regression for the data-driven discovery of neuroimaging biomarkers
[Link]

Kuldeep Kumar, Christian Desrosiers, Ahmad Chaddad, Matthew Toews
23rd International Conference on Pattern Recognition (ICPR)(Cancún, México, Dec. 04-08, 2016)p. 2162-2167.IEEE.

You might also like
Watch-list screening using ensembles based on multiple face representations
Bayesian registration via local image regions: information, selection and marginalization
Meta-learning recommendation of default size of classifier pool for META-DES
Structured controller design using evolution strategies : a computational analysis
A hybrid multi-objective evolutionary algorithm for the uncapacitated exam proximity problem
Variational fair clustering
Is 2D information enough for viewpoint estimation?
Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder