Abstract. We present a novel method for the segmentation of volumetric images, which is especially suitable for highly variable soft tissue structures. Core of the algorithm is a s...
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Functional MRI studies commonly refer to activation patterns as being localized in specific Brodmann areas, referring to Brodmann's divisions of the human cortex based on cyt...
Paul Rasser, Philip Ward, Patrick Johnston, Paul M...
We analyze dependencies in power law graph data (Web sample, Wikipedia sample and a preferential attachment graph) using statistical inference for multivariate regular variation. ...
Abstract. Volumetric registration of brain MR images presents a challenging problem due to the wide variety of sulcal folding patterns. We present a novel volumetric registration m...
Anand A. Joshi, Richard M. Leahy, Arthur W. Toga, ...