-
Chapter and Conference Paper
GPU-MEME: Using Graphics Hardware to Accelerate Motif Finding in DNA Sequences
Discovery of motifs that are repeated in groups of biological sequences is a major task in bioinformatics. Iterative methods such as expectation maximization (EM) are used as a common approach to find such pat...
-
Chapter and Conference Paper
Robust Brain Registration Using Adaptive Probabilistic Atlas
Elastic image registration is widely used to adapt brain images to a common template space, and, in complementary fashion, to adapt an anatomical template to a subject’s anatomy. Although HAMMER is a very accu...
-
Chapter and Conference Paper
Automatic Determination of Arterial Input Function for Dynamic Contrast Enhanced MRI in Tumor Assessment
Dynamic Contrast Enhanced MRI (DCE-MRI) is today one of the most popular methods for tumor assessment. Several pharmacokinetic models have been proposed to analyze DCE-MRI. Most of them depend on an accurate a...
-
Chapter and Conference Paper
Fast Motion Tracking of Tagged MRI Using Angle-Preserving Meshless Registration
Fast tracking of motion is the key step towards tagged MRI-based quantitative cardiac analysis. Existing motion tracking approaches, including the widely used HARP method, are either time consuming or qualitat...
-
Chapter and Conference Paper
A Constrained Non-rigid Registration Algorithm for Use in Prostate Image-Guided Radiotherapy
A constrained non-rigid registration (CNRR) algorithm for use in updating prostate external beam image-guided radiotherapy treatment plans is presented in this paper. The developed algorithm is based on a mult...
-
Chapter and Conference Paper
Domain-Domain Interaction Identification with a Feature Selection Approach
The protein-protein interactions (PPIs) are generally assumed to be mediated by domain-domain interactions (DDIs). Many computational methods have been proposed based on this assumption to predict DDIs from av...
-
Chapter and Conference Paper
Real-Time Nonlinear FEM with Neural Network for Simulating Soft Organ Model Deformation
This paper presents a new method for simulating the deformation of organ models by using a neural network. The proposed method is based on the idea proposed by Chen et al. [2] that a deformed model can be esti...
-
Chapter and Conference Paper
LV Motion and Strain Computation from tMRI Based on Meshless Deformable Models
We propose a novel meshless deformable model for in vivo Left Ventricle (LV) 3D motion estimation and analysis based on tagged MRI (tMRI). The meshless deformable model can capture global deformations such as con...
-
Chapter and Conference Paper
Impact of Automation and Task Load on Unmanned System Operator’s Eye Movement Patterns
Eye tracking under naturalistic viewing conditions may provide a means to assess operator workload in an unobtrusive manner. Specifically, we explore the use of a nearest neighbor index of workload calculated ...
-
Chapter and Conference Paper
Motion-Sickness Related Brain Areas and EEG Power Activates
This study investigates electroencephalographic (EEG) correlates of motion sickness in a virtual-reality based driving simulator. The driving simulator comprised an actual automobile mounted on a Stewart motio...
-
Chapter and Conference Paper
Detecting Frontal EEG Activities with Forehead Electrodes
This study demonstrates the acquisitions of EEG signals from non-hairy forehead sites and tested the feasibility of using the forehead EEG in detecting drowsiness-related brain activities. A custom-made 15-cha...