Filters: Collection: "ir_uspace"
| Creator | Title | Description | Subject | Date | ||
|---|---|---|---|---|---|---|
| 101 |
 |
Weinstein, David | Localization of multiple deep epileptic sources in a realistic head model via independent component analysis | Estimating the location and distribution of current sources within the brain from electroencephalographic (EEG) recordings is an ill-posed inverse problem. The ill-posedness of the problem is due to a lack of uniqueness in the solution; that is, different configurations of sources can generate ident... | EEG; Current sources; Head model | 2000 |
| 102 |
 |
Gerig, Guido | Multivariate Modeling of longitudinal MRI in early brain development with confidence measures | The human brain undergoes rapid organization and structuring early in life. Longitudinal imaging enables the study of these changes over a developmental period within individuals through estimation of population growth trajectory and its variability. In this paper, we focus on maturation of white an... | 2013-01-01 | |
| 103 |
 |
Hansen, Charles D. | Semotus visum: a flexible remote visualization framework | By offering more detail and precision, large data sets can provide greater insights to researchers than small data sets. However, these data sets require greater computing resources to view and manage. Remote visualization techniques allow the use of computers that cannot be operated locally. The S... | Remote visualization; Semotus Visum | 2002 |
| 104 |
 |
Sanderson, Allen Reed | An alternative formulation of lyapunov exponents for computing lagrangian coherent structures | Lagrangian 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 | |
| 105 |
 |
Tasdizen, Tolga | Fast semi-supervised image segmentation by novelty selection | The goal of semi-supervised image segmentation is to obtain the segmentation from a partially labeled image. By utilizing the image manifold structure in labeled and unlabeled pixels, semi-supervised methods propagate the user labeling to the unlabeled data, thus minimizing the need for user labelin... | 2010 | |
| 106 |
 |
Mathews, V. John | Identification of nonlinear, memoryless systems using chebyshev nodes | ABSTRACT This paper describes an approach for identification of static nonlinearities from input-output measurements. The approach is based on minimax approximation of memoryless nonlinear systems using Chebyshev polynomials. For memoryless nonlinear systems that are finite and continuous with fini... | 2005 | |
| 107 |
 |
Gerig, Guido | Segmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimation | Traumatic brain injury (TBI) due to falls, car accidents, and warfare affects millions of people annually. Determining personalized therapy and assessment of treatment efficacy can substantially benefit from longitudinal (4D) magnetic resonance imaging (MRI). In this paper, we propose a method for s... | 2012-01-01 | |
| 108 |
 |
Tasdizen, Tolga; Jones, Bryan W.; Whitaker, Ross T.; Marc, Robert E. | Ultrastructural mapping of neural circuitry: a computational framework | Complete mapping of neuronal networks requires data acquisition at synaptic resolution with canonical coverage of tissues and robust neuronal classification. Transmission electron microscopy (TEM) remains the optimal tool for network mapping. However, capturing high resolution, large, serial sectio... | 2009 | |
| 109 |
 |
Potter, Kristin Carrie | Uncertainty visualization in forward and inverse cardiac models | Quantification and visualization of uncertainty in cardiac forward and inverse problems with complex geometries is subject to various challenges. Specific to visualization is the observation that occlusion and clutter obscure important regions of interest, making visual assessment difficult. In orde... | 2013-01-01 | |
| 110 |
 |
University Research Cyberinfrastructure Committee | University research cyberinfrastructure committee interim report | "Campus cyberinfrastructure is not just about technology." Beyond access to technology, Cyberinfrastructure (CI) defines a new information technology paradigm that includes people and their expertise, enabling technologies, software and tools, and provides a foundation for an integrated approach to... | Cyberinfrastructure; Computing; Information Technology; Strategic Plan | 2006-08-31 |
| 111 |
 |
Berzins, Martin | Data and range-bounded polynomials in ENO methods | Essentially Non-Oscillatory (ENO) methods and Weighted Essentially Non- Oscillatory (WENO) methods are of fundamental importance in the numerical solution of hyperbolic equations. A key property of such equations is that the solution must remain positive or lie between bounds. A modification of the ... | 2012-01-01 | |
| 112 |
 |
Hansen, Mark S.; Healy, Lindsey J.; Johnson, Christopher R.; Capecchi, Mario R.; Keller, Charles; Jones, Greg M. | Virtual histology of transgenic mouse embryos for high-throughput phenotyping. | A bold new effort to disrupt every gene in the mouse genome necessitates systematic, interdisciplinary approaches to analyzing patterning defects in the mouse embryo. We present a novel, rapid, and inexpensive method for obtaining high-resolution virtual histology for phenotypic assessment of mouse ... | Forkhead Transcription Factors; Paired Box Transcription Factors | 2006 |
| 113 |
 |
Hansen, Charles D. | Wavelet representation of contour sets | We present a new wavelet compression and multiresolution modeling approach for sets of contours (level sets). In contrast to previous wavelet schemes, our algorithm creates a parametrization of a scalar field induced by its contours and compactly stores this parametrization rather than function valu... | Contours; Geometry compression; Isosurfaces; Level sets; Multiresolution methods; Wavelets | 2001 |
| 114 |
 |
Gerig, Guido | A new framework for analyzing white matter maturation in early brain development | The trajectory of early brain development is marked by rapid growth presented by volume but also by tissue property changes. Capturing regional characteristics of axonal structuring and myelination via neuroimaging requires analysis of longitudinal image data with multiple modalities. Complementary ... | 2010-01-01 | |
| 115 |
 |
Gerig, Guido | Analyzing imaging biomarkers for traumatic brain injury using 4D modeling of longitudinal MRI | Quantitative imaging biomarkers are important for assessment of impact, recovery and treatment efficacy in patients with traumatic brain injury (TBI). To our knowledge, the identification of such biomarkers characterizing disease progress and recovery has been insufficiently explored in TBI due to d... | 2013-01-01 | |
| 116 |
 |
Tasdizen, Tolga | Detection of salient image points using principal subspace manifold structure | This paper presents a method to find salient image points in images with regular patterns based on deviations from the overall manifold structure. The two main contributions are that: (i) the features to extract salient point are derived directly and in an unsupervised manner from image neighborhoo... | 2010 | |
| 117 |
 |
Berzins, Martin | Parallel breadth first search on GPU clusters | Fast, scalable, low-cost, and low-power execution of parallel graph algorithms is important for a wide variety of commercial and public sector applications. Breadth First Search (BFS) imposes an extreme burden on memory bandwidth and network communications and has been proposed as a benchmark that m... | 2014-01-01 | |
| 118 |
 |
De St Germain, John Davison; Morris, Alan H.; Parker, Steven G. | Performance analysis integration in the Uintah software development cycle | The increasing complexity of high-performance computing environments and programming methodologies presents challenges for empirical performance evaluation. Evolving parallel and distributed systems require performance technology that can be flexibly configured to observe different events and associ... | Uintah; Problem solving environment; Performance analysis; Parallelism; C-SAFE | 2003 |
| 119 |
 |
Gerig, Guido | 4D active cut: an interactive tool for pathological anatomy modeling | 4D 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 | |
| 120 |
 |
Gopalakrishnan, Ganesh; Kirby, Robert Michael II | A survey of MPI related debuggers and tools | Message Passing Interface is a widely used standard in the High Performance and Scienti c Computing Community for writing programs that can exploit the capability of parallel platforms. However, the inherent complexity and the size of the communication standard have made it difficult for programm... | Message Passing Interface; MPI; Debuggers | 2007 |
| 121 |
 |
Gerig, Guido | Analysis of longitudinal shape variability via subject specific growth modeling | Statistical analysis of longitudinal imaging data is crucial for understanding normal anatomical development as well as disease progression. This fundamental task is challenging due to the difficulty in modeling longitudinal changes, such as growth, and comparing changes across different populations... | 2012-01-01 | |
| 122 |
 |
Johnson, Christopher R.; Parker, Steven G.; Whitaker, Ross T.; Hansen, Charles D. | Computational field visualization | Today, scientists, engineers, and medical researchers routinely use computers to simulate complex physical phenomena. Such simulations present new challenges for computational scientists, including the need to effectively analyze and visualize complex three-dimensional data. As simulations become mo... | Volume rendering; Isosurface extraction; Ray tracing; Multi-field visualizations | 2001 |
| 123 |
 |
Gerig, Guido | Statistical growth modeling of longitudinal DT-MRI for regional characterization of early brain development | A population growth model that represents the growth trajectories of individual subjects is critical to study and understand neurodevelopment. This paper presents a framework for jointly estimating and modeling individual and population growth trajectories, and determining significant regional diffe... | 2012-01-01 | |
| 124 |
 |
Tasdizen, Tolga | Using sequential context for image analysis | This paper proposes the sequential context inference (SCI) algorithm for Markov random field (MRF) image analysis. This algorithm is designed primarily for fast inference on an MRF model, but its application requires also a specific modeling architecture. The architecture is composed of a sequence ... | 2010 | |
| 125 |
 |
Riloff, Ellen M. | Effective information extraction with semantic affinity patterns and relevant regions | We present an information extraction system that decouples the tasks of finding relevant regions of text and applying extraction patterns. We create a self-trained relevant sentence classifier to identify relevant regions, and use a semantic affinity measure to automatically learn domain-relevant ex... | Information extraction; Semantic affinity patterns; Relevant regions; MUC-4 terrorism corpus; ProMed disease outbreak stories | 2007 |