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Creator | Title | Description | Subject | Date |
| 76 |
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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 |
| 77 |
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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 |
| 78 |
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Meyer, Miriah Dawn | Design activity framework for visualization design | An important aspect in visualization design is the connection between what a designer does and the decisions the designer makes. Existing design process models, however, do not explicitly link back to models for visualization design decisions. We bridge this gap by introducing the design activity fr... | | 2014-01-01 |
| 79 |
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Macleod, Robert S. | Sensitivity of epicardial electrical markers to acute ischemia detection | Introduction: We hypothesize that electrocardiographic measurements from the intramyocardial space contain more sensitive markers of ischemia than those detectable on the epicardium. The goal of this study was to evaluate different electrical markers for their potential to detect the earliest phases... | | 2014-01-01 |
| 80 |
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Jaskowski, Troy D. | Neuronal uptake of anti-Hu antibody, but not anti-Ri antibody, leads to cell death in brain slice cultures | Background: Anti-Hu and anti-Ri antibodies are paraneoplastic immunoglobulin (Ig)G autoantibodies which recognize cytoplasmic and nuclear antigens present in all neurons. Although both antibodies produce similar immunohistological labeling, they recognize different neuronal proteins. Both antibodies... | | 2014-01-01 |
| 81 |
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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 |
| 82 |
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Gerig, Guido | Semi-automated application for kidney motion correction and filtration analysis in MR renography | Altered renal function commonly affects patients with cirrhosis, a consequence of chronic liver disease. From lowdose contrast material-enhanced magnetic resonance (MR) renography, we can estimate the Glomerular Filtration Rate (GFR), an important parameter to assess renal function. Two-dimensional ... | | 2014-01-01 |
| 83 |
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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 |
| 84 |
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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 |
| 85 |
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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 |
| 86 |
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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 |
| 87 |
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Gerig, Guido | 4D modeling of infant brain growth in Down's Syndrome and controls from longitudinal MRI | Modeling 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... | | 2014-01-01 |
| 88 |
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Gerig, Guido | Normative modeling of early brain maturation from longitudinal DTI reveals twin-singleton differences | Early brain development of white matter is characterized by rapid organization and structuring. Magnetic Resonance diffusion tensor imaging (MR-DTI) provides the possibility of capturing these changes non-invasively by following individuals longitudinally in order to better understand departures fro... | | 2014-01-01 |
| 89 |
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Gerig, Guido | UNC-Utah NA-MIC framework for DTI fiber tract analysis | Diffusion tensor imaging has become an important modality in field of neuroimaging to capture changes in micro-organization and to assess white matter integrity or development While there exists a number of tractography toolsets, these usually lack tools for preprocessing or to analyze diffusion pro... | | 2014-01-01 |
| 90 |
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Gerig, Guido | A joint framework for 4D segmentation and estimation of smooth temporal appearance changes | Medical 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 |
| 91 |
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Maas, Steve | Accuracy and feasibility of dual fluoroscopy and model-based tracking to quantify in vivo hip kinematics during clinical exams | Accurate 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 |
| 92 |
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Gerig, Guido | Characterizing growth patterns in longitudinal MRI using image contrast | Understanding the growth patterns of the early brain is crucial to the study of neuro-development. In the early stages of brain growth, a rapid sequence of biophysical and chemical processes take place. A crucial component of these processes, known as myelination, consists of the formation of a myel... | | 2014-01-01 |
| 93 |
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Gerig, Guido | A preliminary study on the effect of motion correction on HARDI reconstruction | Post-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 |
| 94 |
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Gerig, Guido | DTIPrep: quality control of diffusion-weighted images | In the last decade, diffusion MRI (dMRI) studies of the human and animal brain have been used to investigate a multitude of pathologies and drug-related effects in neuroscience research. Study after study identifies white matter (WM) degeneration as a crucial biomaker for all these diseases. The too... | | 2014-01-01 |
| 95 |
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Gerig, Guido | Geodesic regression of image and shape data for improved modeling of 4D trajectories | A variety of regression schemes have been proposed on images or shapes, although available methods do not handle them jointly. In this paper, we present a framework for joint image and shape regression which incorporates images as well as anatomical shape information in a consistent manner. Evolutio... | | 2014-01-01 |
| 96 |
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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 |
| 97 |
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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 |
| 98 |
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Gerig, Guido | Parametric regression scheme for distributions: analysis of DTI fiber tract diffusion changes in early Brain Development | Temporal modeling frameworks often operate on scalar variables by summarizing data at initial stages as statistical summaries of the underlying distributions. For instance, DTI analysis often employs summary statistics, like mean, for regions of interest and properties along fiber tracts for populat... | | 2014-01-01 |
| 99 |
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Awate, Suyash Prakash | Multiatlas segmentation as nonparametric regression | This paper proposes a novel theoretical framework to model and analyze the statistical characteristics of a wide range of segmentation methods that incorporate a database of label maps or atlases; such methods are termed as label fusion or multiatlas segmentation.We model these multiatlas segmentati... | | 2014-01-01 |
| 100 |
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Planelles, Vicente | An HIV-encoded antisense long non-coding RNA epigenetically regulates viral transcription | The 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 |
