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Creator | Title | Description | Subject | Date |
101 |
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Dannhauer, Moritz | Visualizing simulated electrical fields from electroencephalography and transcranial electric brain stimulation: a comparative evaluation | Electrical activity of neuronal populations is a crucial aspect of brain activity. This activity is not measured directly but recorded as electrical potential changes using head surface electrodes (electroencephalogram - EEG). Head surface electrodes can also be deployed to inject electrical current... | | 2014-01-01 |
102 |
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Pascucci, Valerio | Exploring power behaviors and trade-offs of in-situ data analytics | As scientific applications target exascale, challenges related to data and energy are becoming dominating concerns. For example, coupled simulation workflows are increasingly adopting in-situ data processing and analysis techniques to address costs and overheads due to data movement and I/O. However... | | 2013-01-01 |
103 |
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Pascucci, Valerio | Characterization and modeling of PIDX parallel I/O for performance optimization | Parallel I/O library performance can vary greatly in re- sponse to user-tunable parameter values such as aggregator count, file count, and aggregation strategy. Unfortunately, manual selection of these values is time consuming and dependent on characteristics of the target machine, the underlying fi... | | 2013-01-01 |
104 |
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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 |
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Rosen, Paul Andrew | 2D vector field simplification based on robustness | Vector 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 |
106 |
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Macleod, Robert S. | Identification and acute targeting of gaps in atrial ablation lesion sets using a real-time magnetic resonance imaging system | Background-Radiofrequency ablation is routinely used to treat cardiac arrhythmias, but gaps remain in ablation lesion sets because there is no direct visualization of ablation-related changes. In this study, we acutely identify and target gaps using a real-time magnetic resonance imaging (RT-MRI) sy... | | 2012-01-01 |
107 |
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Seyedhosseini Tarzjani, Seyed Mojtaba | Image segmentation with cascaded hierarchical models and logistic disjunctive normal networks | Contextual information plays an important role in solving vision problems such as image segmentation. However, extracting contextual information and using it in an effective way remains a difficult problem. To address this challenge, we propose a multi-resolution contextual framework, called cascade... | | 2013-01-01 |
108 |
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Gur, Yaniv | Graph diffusion distance: a difference measure for weighted graphs based on the graph Laplacian exponential kernel | We propose a novel difference metric, called the graph diffusion distance (GDD), for quantifying the difference between two weighted graphs with the same number of vertices. Our approach is based on measuring the average similarity of heat diffusion on each graph. We compute the graph Laplacian expo... | | 2013-01-01 |
109 |
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Gerig, Guido | Multi-atlas segmentation of subcortical brain structures via the AutoSeg software pipeline | Automated segmenting and labeling of individual brain anatomical regions, in MRI are challenging, due to the issue of individual structural variability. Although atlas-based segmentation has show its potential for both tissue and structure segmentation, due to the inherent natural variability as wel... | | 2014-01-01 |
110 |
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Anderson, Erik Wesley | Discovering and visualizing patterns in EEG data | Brain activity data is often collected through the use of electroen-cephalography (EEG). In this data acquisition modality, the electric fields generated by neurons are measured at the scalp. Although this technology is capable of measuring activity from a group of neurons, recent efforts provide ev... | | 2013-01-01 |
111 |
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Kuhlman, Brian | PHD Entrepreneur | The idea for this speech began when my friends and family started asking what I would do after graduating with my PhD in psychology. Folks tended to get a bit confused when I replied that my plan is to start a business. You don't need a PhD to do that! It's true. The path leading from PhD to Entrepr... | entrepreneur; PhD; doctoral; industry; academia | 2013-05-03 |
112 |
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Wunderlich, Adam James | A nonparametric procedure for comparing the areas under correlated LROC curves | In contrast to the receiver operating characteristic (ROC) assessment paradigm, localization ROC (LROC) analysis provides a means to jointly assess the accuracy of localization and detection in an observer study. In a typical multireader, multicase (MRMC) evaluation, the data sets are paired so that... | | 2012-01-01 |
113 |
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Pascucci, Valerio | Exploring performance data with boxfish | The growth in size and complexity of scaling applications and the systems on which they run pose challenges in analyzing and improving their overall performance. With metrics coming from thousands or millions of processes, visualization techniques are necessary to make sense of the increasing amount... | | 2012-01-01 |
114 |
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Wunderlich, Adam James | On efficient assessment of image-quality metrics based on linear model observers | This paper is motivated by the problem of image-quality assessment using model observers for the purpose of development and optimization of medical imaging systems. Specifically, we present a study regarding the estimation of the receiver operating characteristic (ROC) curve for the observer and ass... | | 2012-01-01 |