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Creator | Title | Description | Subject | Date |
76 |
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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 |
77 |
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Gerig, Guido | Multi-object analysis of volume, pose, and shape using statistical discrimination | One goal of statistical shape analysis is the discrimination between two populations of objects. Whereas traditional shape analysis was mostly concerned with single objects, analysis of multi-object complexes presents new challenges related to alignment and pose. In this paper, we present a methodol... | | 2010-01-01 |
78 |
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Gerig, Guido | Assessment of reliability of multi-site neuroimaging via traveling phantom study | This paper describes a framework for quantitative analysis of neuroimaging data of traveling human phantoms used for cross-site validation. We focus on the analysis of magnetic resonance image data including intra- and intersite comparison. Locations and magnitude of geometric deformation is studied... | | 2008-01-01 |
79 |
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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 |
80 |
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Gerig, Guido | Voxel-wise group analysis of DTI | Diffusion tensor MRI (DTI) is now a widely used modality to investigate the fiber tissues in vivo, especially the white matter in brain. An automatic pipeline is described in this paper to conduct a localized voxel-wise multiple-subject group comparison study of DTI. The pipeline consists of 3 steps... | | 2009-01-01 |
81 |
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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 |
82 |
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Gerig, Guido | Early postnatal development of corpus callosum and corticospinal white matter assessed with quantitative tractography | BACKGROUND AND PURPOSE: The early postnatal period is perhaps the most dynamic phase of white matter development. We hypothesized that the early postnatal development of the corpus callosum and corticospinal tracts could be studied in unsedated healthy neonates by using novel approaches to diffusion... | | 2007-01-01 |
83 |
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Gerig, Guido | A framework for longitudinal data analysis via shape regression | Traditional longitudinal analysis begins by extracting desired clinical measurements, such as volume or head circumference, from discrete imaging data. Typically, the continuous evolution of a scalar measurement is estimated by choosing a 1D regression model, such as kernel regression or fitting a p... | | 2012-01-01 |
84 |
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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 |
85 |
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Gerig, Guido | Statistical shape analysis of Multi-Object complexes | An important goal of statistical shape analysis is the discrimination between populations of objects, exploring group differences in morphology not explained by standard volumetric analysis. Certain applications additionally require analysis of objects in their embedding context by joint statistical... | | 2007-01-01 |
86 |
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Gerig, Guido | Structural integrity of the uncinate fasciculus in geriatric depression: relationship with age of onset | Background: The uncinate fasciculus connects limbic structures, such as the hippocampus and amygdala, with frontal regions. This study utilized diffusion tensor imaging to examine the structural integrity of the uncinate fasciculus in late-life depression. Method: 18 elderly depressed and 19 elderly... | | 2007-01-01 |
87 |
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Gerig, Guido | Statistics of populations of images and its embedded objects: driving applications in neuroimaging | Work in progress towards modeling shape statistics of multi-object complexes is presented. Constraints defined by the set of objects such as a compact representation of object shape relationships and correlation of shape changes might have advantages for automatic segmentation and group discriminati... | | 2006-01-01 |
88 |
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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 |
89 |
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Gerig, Guido | Statistical shape analysis of brain structures using spherical wavelets | We present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests and a spherical wavelet (SWC) shape representation. As an application, we analyze two brain structures, the caudate nucleus and the hippocampus, and compare the results obtained to... | | 2007-01-01 |
90 |
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Gerig, Guido | Subcortical structure segmentation using probabilistic atlas priors | The segmentation of the subcortical structures of the brain is required for many forms of quantitative neuroanatomic analysis. The volumetric and shape parameters of structures such as caudate are employed to characterize a disease or its evolution. This paper presents our fully automatic segmentati... | | 2007-01-01 |
91 |
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Gerig, Guido | Synergy of image analysis for animal and human neuroimaging supports translational research on drug abuse | The use of structural magnetic resonance imaging (sMRI) and diffusion tensor imaging (DTI) in animal models of neurophysiology is of increasing interest to the neuroscience community. In this work, we present our approach to create optimal translational studies that include both animal and human neu... | | 2011-01-01 |
92 |
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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 |
93 |
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Gerig, Guido | Minimum description length with local geometry | Establishing optimal correspondence across object populations is essential to statistical shape analysis. Minimizing the description length (MDL) is a popular method for finding correspondence. In this work, we extend the MDL method by incorporating various local curvature metrics. Using local curva... | | 2008-01-01 |
94 |
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Gerig, Guido | Mixed-effects shape models for estimating longitudinal changes in anatomy | | | 2012-01-01 |
95 |
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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 |
96 |
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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 |
97 |
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Gerig, Guido | Noise-induced bias in low-direction diffusion tensor MRI: replication of Monte-Carlo simulation with in-vivo scans | Clinical neuroimaging studies involving diffusion tensor MRI (DTI) require precise estimation of diffusion properties for statistical analysis. Tensor derived measures such as fractional anisotropy (FA) and trace are often analyzed for hypothesis testing. Given the limited scanning time typically av... | | 2007-01-01 |
98 |
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Gerig, Guido | Patient-tailored connectomics visualization for the assessment of white matter atrophy in traumatic brain injury | Available approaches to the investigation of traumatic brain injury (TBI) are frequently hampered, to some extent, by the unsatisfactory abilities of existing methodologies to efficiently define and represent affected structural connectivity and functional mechanisms underlying TI-related pathology.... | | 2012-01-01 |
99 |
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Gerig, Guido | Statistical group differences in anatomical shape analysis using Hotelling T2 Metric | Shape analysis has become of increasing interest to the neuroimaging community due to its potential to precisely locate morphological changes between healthy and pathological structures. This manuscript presents a comprehensive set of tools for the computation of 3D structural statistical shape anal... | | 2007-01-01 |
100 |
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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 |