12 citations · 21 across the 16 of their papers we have counts for
3 papers · 1 filter
Modeling Information Flow Through Deep Neural Networks
Ahmad Chaddad, Behnaz Naisiri, Marco Pedersoli +3
This paper proposes a principled information theoretic analysis of classification for deep neural network structures, e.g. convolutional neural networks (CNN). The output of convol…
Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI
Kuldeep Kumar, Laurent Chauvin, Mathew Toews +2
So far, fingerprinting studies have focused on identifying features from single-modality MRI data, which capture individual characteristics in terms of brain structure, function, o…
Probabilistic Diffeomorphic Registration: Representing Uncertainty
Demian Wassermann, Matt Toews, Marc Niethammer +1
This paper presents a novel mathematical framework for representing uncertainty in large deformation diffeomorphic image registration. The Bayesian posterior distribution over the…