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51 Gerig, GuidoGroup mean differences of voxel and surface objects via nonlinear averagingBuilding of atlases representing average and variability of a population of images or of segmented objects is a key topic in application areas like brain mapping, deformable object segmentation and object classification. Recent developments in image averaging, i.e. constructing an image which is cen...2006-01-01
52 Gerig, GuidoGroup statistics of DTI fiber bundles using spatial functions of tensor measuresWe present a framework for hypothesis testing of differences between groups of DTI ber tracts. An anatomical, tract-oriented coordinate system provides a basis for estimating the distribution of diffusion properties. The parametrization of sampled, smooth functions is normalized across a population ...2008-01-01
53 Macleod, Robert S.Identification and acute targeting of gaps in atrial ablation lesion sets using a real-time magnetic resonance imaging systemBackground-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
54 Gerig, GuidoImage registration driven by combined probabilistic and geometric descriptorsDeformable image registration in the presence of considerable contrast dierences and large-scale size and shape changes represents a signicant challenge for image registration. A representative driving application is the study of early brain development in neuroimaging, which requires co-registratio...2010-01-01
55 Seyedhosseini Tarzjani, Seyed MojtabaImage segmentation with cascaded hierarchical models and logistic disjunctive normal networksContextual 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
56 Gerig, GuidoImages in neuroscience: Fetal and Neonatal Brain DevelopmentIn the top row of longitudinal T1-weighted magnetic resonance images of the same child (and same scale), note the dramatic increase in total brain size as well as in white matter intensity over early development. In the bottom row of diffusion tensor images, white matter tractography of a neonate, o...2006-01-01
57 Gerig, GuidoLongitudinal growth modeling of discrete-time functions with application to DTI tract evolution in early neurodevelopmentWe present a new framework for spatiotemporal analysis of parameterized functions attributed by properties of 4D longitudinal image data. Our driving application is the measurement of temporal change in white matter diffusivity of fiber tracts. A smooth temporal modeling of change from a discrete-ti...2012-01-01
58 Gerig, GuidoMeasures for validation of DTI tractographyThe evaluation of analysis methods for diffusion tensor imaging (DTI) remains challenging due to the lack of gold standards and validation frameworks. Significant work remains in developing metrics for comparing fiber bundles generated from streamline tractography. We propose a set of volumetric and...2012-01-01
59 Gerig, GuidoMinimum description length with local geometryEstablishing 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
60 Gerig, GuidoMixed-effects shape models for estimating longitudinal changes in anatomy2012-01-01
61 Gerig, GuidoModeling 4D changes in pathological anatomy using domain adaptation: analysis of TBI imaging using a tumor databaseAnalysis 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
62 Gerig, GuidoModeling longitudinal MRI changes in populations using a localized, information-theoretic measure of contrastLongitudinal 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
63 Gerig, GuidoMulti-atlas segmentation of subcortical brain structures via the AutoSeg software pipelineAutomated 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
64 Gerig, GuidoMulti-object analysis of volume, pose, and shape using statistical discriminationOne 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
65 Awate, Suyash PrakashMultiatlas segmentation as nonparametric regressionThis 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
66 Gerig, GuidoMultiscale medial shape-based analysis of image objectsMedial representation of a three-dimensional (3-D) object or an ensemble of 3-D objects involves capturing the object interior as a locus of medial atoms, each atom being two vectors of equal length joined at the tail at the medial point. Medial representation has a variety of beneficial properties,...2003-01-01
67 Gerig, GuidoMultivariate Modeling of longitudinal MRI in early brain development with confidence measuresThe 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
68 Gerig, GuidoMultivariate longitudinal statistics for neonatal-pediatric brain tissue developmentThe topic of studying the growth of human brain development has become of increasing interest in the neuroimaging community. Cross-sectional studies may allow comparisons between means of different age groups, but they do not provide a growth model that integrates the continuum of time, nor do they ...2008-01-01
69 Jaskowski, Troy D.Neuronal uptake of anti-Hu antibody, but not anti-Ri antibody, leads to cell death in brain slice culturesBackground: 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
70 Gerig, GuidoNoise-induced bias in low-direction diffusion tensor MRI: replication of Monte-Carlo simulation with in-vivo scansClinical 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
71 Gerig, GuidoNormative modeling of early brain maturation from longitudinal DTI reveals twin-singleton differencesEarly 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
72 Wunderlich, Adam JamesOn efficient assessment of image-quality metrics based on linear model observersThis 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
73 Kuhlman, BrianPHD EntrepreneurThe 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; academia2013-05-03
74 Gerig, GuidoParametric regression scheme for distributions: analysis of DTI fiber tract diffusion changes in early Brain DevelopmentTemporal 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
75 Gerig, GuidoPatient-tailored connectomics visualization for the assessment of white matter atrophy in traumatic brain injuryAvailable 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
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