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CreatorTitleDescriptionSubjectDate
1 Rosen, Paul Andrew2D vector field simplification based on robustnessVector field simplification aims to reduce the complexity of the flow by removing features in order of their relevance and importance, to reveal prominent behavior and obtain a compact representation for interpretation. Most existing simplification techniques based on the topological skeleton succes...2014-01-01
2 Gerig, Guido4D active cut: an interactive tool for pathological anatomy modeling4D pathological anatomy modeling is key to understanding complex pathological brain images. It is a challenging problem due to the difficulties in detecting multiple appearing and disappearing lesions across time points and estimating dynamic changes and deformations between them. We propose a novel...2014-01-01
3 Gerig, Guido4D modeling of infant brain growth in Down's Syndrome and controls from longitudinal MRIModeling of early brain growth trajectories from longitudinal MRI will provide new insight into neurodevelopmental characteristics, timing and type of changes in neurological disorders from controls. In addition to an ongoing large-scale infant autism neuroimaging study 1, we recruited 4 infants wit...specifically2014-01-01
4 Sutherland, James ClaytonA comparison of various models in predicting ignition delay in single-particle coal combustionIn this paper, individual coal particle combustion under laminar conditions is simulated using models with various levels of complexity for the particle and gas phase chemical kinetics. The mass, momentum and energy governing equations are fully coupled between the particle and the gas phase. In the...2014-01-01
5 Furse, Cynthia M.A history & future of implantable antennasImplantable antennas have been used for communication with medical implants for decades. This paper traces their roots from early transcutaneous inductively coupled devices to the microstrip and wire antennas in use today. A suggestion for where this technology may go in the future as medical device...2014-01-01
6 Gerig, GuidoA joint framework for 4D segmentation and estimation of smooth temporal appearance changesMedical imaging studies increasingly use longitudinal images of individual subjects in order to follow-up changes due to development, degeneration, disease progression or efficacy of therapeutic intervention. Repeated image data of individuals are highly correlated, and the strong causality of infor...2014-01-01
7 Mathews, V. JohnA phase likelihood-based algorithm for blind identification of PSK signalsThis paper presents a phase likelihood-based method for automatically identifying different phase-shift keying (PSK) modulations. This method identifies the PSK signals as the hypothesis for which the likelihood function of phase difference between nearby samples of the received signal is the maximu...2014-01-01
8 Gerig, GuidoA preliminary study on the effect of motion correction on HARDI reconstructionPost-acquisition motion correction is widely performed in diffusion-weighted imaging (DWI) to guarantee voxel-wise correspondence between DWIs. Whereas this is primarily motivated to save as many scans as possible if corrupted by motion, users do not fully understand the consequences of different ty...2014-01-01
9 Berzins, MartinA survey of high level frameworks in block-structured adaptive mesh refinement packagesOver the last decade block-structured adaptive mesh refinement (SAMR) has found increasing use in large, publicly available codes and frameworks. SAMR frameworks have evolved along different paths. Some have stayed focused on specific domain areas, others have pursued a more general functionality, p...2014-01-01
10 Liu, FengA three-layer-mesh bridging domain for coupled atomistic-continuum simulations at finite temperature: formulation and testingAlthough concurrent multiscale methods have been well developed for zero-temperature simulations, improvements are needed to meet challenges pertaining to finite-temperature simulations. Bridging domain method (BDM) is one of the most efficient and widely-used multiscale atomistic-continuum techniqu...2014-01-01
11 Furse, Cynthia M.A tutorial on Stochastic FDTDThe Stochastic FDTD (S-FDTD) method provides a way to determine the mean and variance of the electric and magnetic fields in a model where the electrical properties (conductivity and permittivity) vary stochastically, from a single S-FDTD simulation. This method is a realistic and more efficient alt...2014-01-01
12 Seyedhosseini Tarzjani, Seyed MojtabaA workflow for the automatic segmentation of organelles in electron microscopy image stacksElectron microscopy(EM) facilitates analysis of the form,distribution, and functional status of key organelle systems in various pathological processes,including those associated with neurodegenerative disease.Such EM data often provide important new in sights into the underlying disease mechanisms....2014-01-01
13 Maas, SteveAccuracy and feasibility of dual fluoroscopy and model-based tracking to quantify in vivo hip kinematics during clinical examsAccurate measurements of in-vivo hip kinematics may elucidate the mechanisms responsible for impaired function and chondrolabral damage in hips with femoroacetabular impingement (FAI). The objectives of this study were to quantify the accuracy and demonstrate the feasibility of using dual fluoroscop...2014-01-01
14 Sutherland, James ClaytonAdvanced regression methods for combustion modelling using principal componentsModelling the physics of combustion remains a challenge due to a large range of temporal and physical scales which are important in these systems. Detailed chemical kinetic mechanisms are used to describe the chemistry involved in the combustion process yielding highly coupled partial differential e...2014-01-01
15 Rajamani, RajAdvances in discrete element method application to grinding millsDiscrete element method (DEM) has made significant impact in the design and operation of grinding mills. The internal charge motion of grinding balls and ore can be readily examined. As a result, this method enables one to design and examine mill internals via simulation. This manuscript details es...2014-01-01
16 Stevens, KennethAn A-FPGA architecture for relative timing based asynchronous designsThis paper presents an asynchronous FPGA architecture that is capable of implementing relative timing based asynchronous designs. The architecture uses the Xilinx 7-Series architecture as a starting point and proposes modifications that would make it asynchronous design capable while keeping it full...2014-01-01
17 Sanderson, Allen ReedAn alternative formulation of lyapunov exponents for computing lagrangian coherent structuresLagrangian coherent structures are time-evolving surfaces that highlight areas in flow fields where neighboring advected particles diverge or converge. The detection and understanding of such structures is an important part of many applications such as in oceanography where there is a need to predic...2014-01-01
18 Simpson, Jamesina J.An efficient stochastic approach to uncertainty quantification in 3-D FDTD magnetized cold plasmaAn efficient stochastic finite-difference time-domain (S-FDTD) method is developed to analyze electromagnetic field variability in three dimensional anisotropic magnetized plasma. The new S-FDTD plasma model provides a full understanding of the true physics due to the associated uncertainties and ha...2014-01-01
19 Planelles, VicenteAn HIV-encoded antisense long non-coding RNA epigenetically regulates viral transcriptionThe abundance of long non-coding RNAs (lncRNAs) and their wide range of functional roles in human cells are fast becoming realized. Importantly, lncRNAs have been identified as epigenetic modulators and consequently play a pivotal role in the regulation of gene expression. A human immunodeficiency v...2014-01-01
20 Furse, Cynthia M.Analysis of electromagnetic field variability in magnetized ionosphere plasma using the stochastic FDTD methodA stochastic finite-difference time-domain (S-FDTD) algorithm is presented for electromagnetic wave propagation in anisotropic magnetized plasma. This new algorithm efficiently calculates in a single simulation not only the mean electromagnetic field values, but also their variance as caused by the ...2014-01-01
21 Bargteil, Adam WadeAnimation of deformable bodies with quadratic bézier finite elementsIn this article, we investigate the use of quadratic finite elements for graphical animation of deformable bodies.We consider both integrating quadratic elements with conventional linear elements to achieve a computationally efficient adaptive-degree simulation framework as well as wholly quadratic ...2014-01-01
22 Gur, YanivAssessment of white matter microstructure in stroke patients using NODDIDiffusion weighted imaging (DWI) is widely used to study changes in white matter following stroke. In various studies employing diffusion tensor imaging (DTI) and high angular resolution diffusion imaging (HARDI) modalities, it has been shown that fractional anisotropy (FA), me...2014-01-01
23 Stevens, KennethAutomatic addition of reset in asynchronous sequential control circuitsAsynchronous finite state machines (AFSMs) usually require initialization to place them in a desired starting state. This normally occurs by toggling a reset signal upon power-up. This paper presents an algorithm to automatically generate power-up reset circuitry thus adding reset to an AFSM after t...2014-01-01
24 Miller, Jan D.The behavior of arsenic trioxide in non-ferrous extractive metallurgical processingStudy of the acid bake-leach process has shown potential advantages for the treatment of enargite (Cu3AsS4) concentrates. Among the most important advantages of the process is the transformation of enargite to water-soluble copper sulfate and highly soluble arsenic trioxide (arsenolite). Because ars...acid bake; enargite; vapor pressure; arsenolite; claudetite; copper sulfate2014-01-01
25 Hansen, Charles D.Boundary aware reconstruction of scalar fieldsIn visualization, the combined role of data reconstruction and its classification plays a crucial role. In this paper we propose a novel approach that improves classification of different materials and their boundaries by combining information from the classifiers at the reconstruction stage. Our ap...2014-01-01
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