Classical mechanics, one of the oldest branches of science, has undergone a long evolution,
developing hand in hand with many areas of mathematics, including calculus, differential …

We present a new unsupervised learning algorithm, “FAIM”, for 3D medical image registration.
With a different architecture than the popular “U-net” [ 10 ], the network takes a pair of full …

Neuroimaging datasets often have a very large number of voxels and a very small number
of training cases, which means that overfitting of models for this data can become a very …

Historically, research databases have existed in isolation with no practical avenue for sharing
or pooling medical data into high dimensional datasets that can be efficiently compared …

Background. Performance variability in individuals with aphasia is typically regarded as a
nuisance factor complicating assessment and treatment. Objective. We present the alternative …

We compare 10 methods of classifying fMRI volumes by applying them to data from a longitudinal
study of stroke recovery: adaptive Fisher's linear and quadratic discriminant; gaussian …

We have implemented a machine translation system, the PolyMath Translator, for LaTeX
documents containing mathematical text. The current implementation translates English LaTeX …

The field of fMRI data analysis is rapidly growing in sophistication, particularly in the domain
of multivariate pattern classification. However, the interaction between the properties of the …

Large scale research studies combining magnetic resonance imaging data generated at
multiple sites on multiple vendor platforms are becoming more commonplace. The Ontario …

Classification models are becoming increasing popular tools in the analysis of neuroimaging
data sets. Besides obtaining good prediction accuracy, a competing goal is to interpret how …