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Creator | Title | Description | Subject | Date |
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Gerig, Guido | 3D of brain shape and volume after cranial vault remodeling surgery for craniosynostosis correction in infants | The skull of young children is made up of bony plates that enable growth. Craniosynostosis is a birth defect that causes one or more sutures on an infant's skull to close prematurely. Corrective surgery focuses on cranial and orbital rim shaping to return the skull to a more normal shape. Functional... | | 2013-01-01 |
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Gerig, Guido | A longitudinal structural MRI study of change in regional contrast in Autism Spectrum Disorder | Authors: Avantika Vardhan1, Joseph Piven2, Marcel Prastawa3, Guido Gerig3 Institutions: 1Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, United States, 2Dept of Psychiatry, UNC School of Medicine, Chapel Hill, NC, 3University of Utah, Salt Lake City, UT Introduction: ... | | 2013-01-01 |
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Gerig, Guido | Analysis of diffusion tensor imaging for subjects with Down Syndrome | Authors: Neda Sadeghi1, Clement Vachet1, Marcel Prastawa1, Julie Korenberg1, Guido Gerig1 Institutions: 1University of Utah, Salt Lake City, UT Introduction: Down syndrome (DS) is the most common chromosome abnormality in humans. It is typically associated with delayed cognitive development and phys... | | 2013-01-01 |
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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 |
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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 |
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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 |
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Gerig, Guido | DTI quality control assessment via error estimation from monte carlo simulations | Diffusion Tensor Imaging (DTI) is currently the state of the art method for characterizing the microscopic tissue structure of white matter in normal or diseased brain in vivo. DTI is estimated from a series of Diffusion Weighted Imaging (DWI) volumes. DWIs suffer from a number of artifacts which ma... | | 2013-01-01 |
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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 |
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Gerig, Guido | Geodesic image regression with a sparse parameterization of diffeomorphisms | Image regression allows for time-discrete imaging data to be modeled continuously, and is a crucial tool for conducting statistical analysis on longitudinal images. Geodesic models are particularly well suited for statistical analysis, as image evolution is fully characterized by a baseline image an... | | 2013-01-01 |
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Gerig, Guido | Geodesic shape regression in the framework of currents | Shape regression is emerging as an important tool for the statistical analysis of time dependent shapes. In this paper, we develop a new generative model which describes shape change over time, by extending simple linear regression to the space of shapes represented as currents in the large deformat... | | 2013-01-01 |
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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 |
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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 |
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Gerig, Guido | Modeling 4D changes in pathological anatomy using domain adaptation: analysis of TBI imaging using a tumor database | Analysis of 4D medical images presenting pathology (i.e., lesions) is significantly challenging due to the presence of complex changes over time. Image analysis methods for 4D images with lesions need to account for changes in brain structures due to deformation, as well as the formation and deletio... | | 2013-01-01 |
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Gerig, Guido | Modeling longitudinal MRI changes in populations using a localized, information-theoretic measure of contrast | Longitudinal MR imaging during early brain development provides important information about growth patterns and the development of neurological disorders. We propose a new framework for studying brain growth patterns within and across populations based on MRI contrast changes, measured at each time ... | | 2013-01-01 |
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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 |
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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 |
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Gerig, Guido | Spatiotemporal modeling of distribution-valued data applied to DTI tract evolution in infant neurodevelopment | This paper proposes a novel method that extends spatiotemporal growth modeling to distribution-valued data. The method relaxes assumptions on the underlying noise models by considering the data to be represented by the complete probability distributions rather than a representative, single-valued su... | | 2013-01-01 |
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Gerig, Guido | Toward a comprehensive framework for the spatiotemporal statistical analysis of longitudinal shape data | This paper proposes an original approach for the statistical analysis of longitudinal shape data. The proposed method allows the characterization of typical growth patterns and subject-specific shape changes in repeated time-series observations of several subjects. This can be seen as the extension ... | | 2013-01-01 |
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Gerig, Guido | White matter microstructure and atypical visual orienting in 7 month-olds at risk for autism | Objective: The authors sought to determine whether specific patterns of oculo-motor functioning and visual orientingcharacterize 7-month-old infants who later meet criteria for an autism spectrum disorder (ASD) and to identify the neural correlates of these behaviors. Method:Data were collected from... | | 2013-01-01 |