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Chapter and Conference Paper
A Comparison of Some Gradient Threshold Estimators for the Nonlinear Diffusion of Perona-Malik. A Novel Proposal to Improve Edges Detection in Mammography Images
In this work, based on the nonlinear Perona-Malik anisotropic diffusion (AD) model, we develop an efficient smoothing algorithm for mammography images that preserves edges and provides valuable information for...
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Chapter and Conference Paper
Clutter Slices Approach for Identification-on-the-Fly of Indoor Spaces
Construction spaces are constantly evolving, dynamic environments in need of continuous surveying, inspection, and assessment. Traditional manual inspection of such spaces proves to be an arduous and time-cons...
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Chapter and Conference Paper
Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer
The growth and spread of breast cancer are influenced by the composition and structural properties of collagen in the extracellular matrix of tumors. Straight alignment of collagen has been attributed to tumor...
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Chapter and Conference Paper
A Matched Filter Decomposition of fMRI into Resting and Task Components
The human brain exhibits dynamic interactions among brain regions when responding to stimuli and executing tasks, which can be recorded using functional magnetic resonance imaging (fMRI). Functional MRI signa...
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Chapter and Conference Paper
Using the Anisotropic Laplace Equation to Compute Cortical Thickness
Automatic computation of cortical thickness is a critical step when investigating neuroanatomical population differences and changes associated with normal development and aging, as well as in neuro-degenerati...
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Chapter and Conference Paper
Perceived Frequency of Aperiodic Vibrotactile Stimuli Depends on Temporal Encoding
Mechanical transients and events arising during dexterous manipulation are detected by tactile afferents. Naturally occurring vibrotactile stimuli have a mix of frequencies, which creates complex afferent disc...
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Chapter and Conference Paper
rfDemons: Resting fMRI-Based Cortical Surface Registration Using the BrainSync Transform
Cross subject functional studies of cerebral cortex require cortical registration that aligns functional brain regions. While cortical folding patterns are approximate indicators of the underlying cytoarchitec...
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Chapter and Conference Paper
BrainSync: An Orthogonal Transformation for Synchronization of fMRI Data Across Subjects
We describe a method that allows direct comparison of resting fMRI (rfMRI) time series across subjects. For this purpose, we exploit the geometry of the rfMRI signal space to conjecture the existence of an ort...
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Chapter and Conference Paper
Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral Cortex
Typical cerebral cortical analyses rely on spatial normalization and are sensitive to misregistration arising from partial homologies between subject brains and local optima in nonlinear registration. In contr...
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Chapter and Conference Paper
Riemannian Statistical Analysis of Cortical Geometry with Robustness to Partial Homology and Misalignment
Typical studies of the geometry of the cerebral cortical structure focus on either cortical folding or thickness. They rely on spatial normalization, but use cortical descriptors that are sensitive to misregis...
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Chapter and Conference Paper
Measuring Asymmetric Interactions in Resting State Brain Networks
Directed graph representations of brain networks are increasingly being used to indicate the direction and level of influence among brain regions. Most of the existing techniques for directed graph representat...
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Chapter and Conference Paper
Analysis of the SoftKinetic DepthSense for Range Imaging
We analyse the SoftKinetic DepthSense 325 range imaging camera for precision and accuracy in ranging out to 3 m. Flat planar targets (one a grey board, the other made from retroreflective material) are imaged ...
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Chapter and Conference Paper
Advanced Coincidence Processing of 3D Laser Radar Data
Data collected by 3D Laser Radar (Lidar) systems, which utilize arrays of avalanche photo-diode detectors operating in either Linear or Geiger mode, may include a large number of false detector counts or noise...
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Chapter and Conference Paper
Wireless Electrical Power to Sub-millimeter Robots
A sub-millimeter scale coil is investigated as an alternative means to power electronics for small-scale robots. The AC voltage is induced by time-varying magnetic field. FEM analysis of employing magnetic fie...
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Chapter and Conference Paper
Non-rigid Image Registration Using Gaussian Mixture Models
Non-rigid mutual information (MI) based image registration is prone to converge to local optima due to Parzen or histogram based density estimation used in conjunction with estimation of a high dimensional def...
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Chapter and Conference Paper
A Method for Automated Cortical Surface Registration and Labeling
Registration and delineation of anatomical features in MRI of the human brain play an important role in the investigation of brain development and disease. Accurate, automatic and computationally efficient cor...
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Chapter and Conference Paper
Interpretability of Bayesian Decision Trees Induced from Trauma Data
Decision Tree (DT) technology with its sequential decision process composed of hard thresholds applied to individual features is often not an optimal choice. But DTs are typically credited with being predictiv...
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Chapter and Conference Paper
STATISTICAL WAVEFRONT SENSING
Wavefront sensing for adaptive optics is addressed. The most popular wavefront sensors are described. Restoring the wavefront is an inverse problem, of which the bases are explained. An estimator of the slope ...
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Chapter and Conference Paper
A Framework for Registration, Statistical Characterization and Classification of Cortically Constrained Functional Imaging Data
We present a framework for registering and analyzing functional neuroimaging data constrained to the cortical surface of the brain. We assume as input a set of labeled data points that lie on a set of paramete...
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Chapter and Conference Paper
N-Best List Rescoring Using Syntactic Trigrams
This paper demonstrates the usefulness of syntactic trigrams in improving the performance of a speech recognizer for the Spanish language. This technique is applied as a post-processing stage that uses syntact...