6 Result(s)
within
Martha Shenton
Computer Science
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Chapter and Conference Paper
Pairwise, Ordinal Outlier Detection of Traumatic Brain Injuries
Because mild Traumatic Brain Injuries (mTBI) are heterogeneous, classification methods perform outlier detection from a model of healthy tissue. Such a model is challenging to construct. Instead, we utilize re...
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Chapter and Conference Paper
On Describing Human White Matter Anatomy: The White Matter Query Language
The main contribution of this work is the careful syntactical definition of major white matter tracts in the human brain based on a neuroanatomist’s expert knowledge. We present a technique to formally describ...
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Chapter and Conference Paper
White Matter Bundle Registration and Population Analysis Based on Gaussian Processes
This paper proposes a method for the registration of white matter tract bundles traced from diffusion images and its extension to atlas generation. Our framework is based on a Gaussian process representation o...
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Chapter and Conference Paper
Shape Modeling and Analysis with Entropy-Based Particle Systems
This paper presents a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization. The method requires very lit...
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Chapter and Conference Paper
Logarithm Odds Maps for Shape Representation
The concept of the Logarithm of the Odds (LogOdds) is frequently used in areas such as artificial neural networks, economics, and biology. Here, we utilize LogOdds for a shape representation that demonstrates ...
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Chapter and Conference Paper
Automating segmentation of dual-echo MR head data
Multiecho MR acquisition yields various information about tissue and csf characteristics. The analysis of two-dimensional scatterplots generated from dual-echo MR data turns out to be a useful tool. It allows ...
