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CreatorTitleDescriptionSubjectDate
51 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
52 Gerig, GuidoTwin-singleton differences in neonatal brain structureTwin studies suggest that global and regional brain volumes are highly heritable. However, estimates of heritability vary across development. Given that all twin studies are open to the potential criticism of non-generalizability due to differences in intrauterine environment between twins and singl...2011-01-01
53 Gerig, GuidoAutomatic corpus callosum segmentation using a deformable active Fourier contour modelThe corpus callosum (CC) is a structure of interest in many neuroimaging studies of neuro-developmental pathology such as autism. It plays an integral role in relaying sensory, motor and cognitive information from homologous regions in both hemispheres. We have developed a framework that allows auto...2012-01-01
54 Gerig, GuidoSpatial intensity prior correction for tissue segmentation in the developing human brainThe degree of white matter (WM) myelination is rather inhomogeneous across the brain. As a consequence, white matter appears differently across the cortical lobes in MR images acquired during early postnatal development. At 1 year old specifically, the gray/white matter contrast of MR images in pref...2011-01-01
55 Gerig, GuidoSegmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimationTraumatic brain injury (TBI) due to falls, car accidents, and warfare affects millions of people annually. Determining personalized therapy and assessment of treatment efficacy can substantially benefit from longitudinal (4D) magnetic resonance imaging (MRI). In this paper, we propose a method for s...2012-01-01
56 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
57 Gerig, GuidoChanges of MR and DTI appearance in early human brain developmentUnderstanding myelination in early brain development is of clinical importance, as many neurological disorders have their origin in early cerebral organization and maturation. The goal of this work is to study a large neonate database acquired with standard MR imagery to illuminate effects of early ...2010-01-01
58 Gerig, GuidoEvaluation of DTI property maps as basis of DTI atlas buildingCompared to region of interest based DTI analysis, voxel-based analysis gives higher degree of localization and avoids the procedure of manual delineation with the resulting intra and inter-rater variability. One of the major challenges in voxel-wise DTI analysis is to get high quality voxel-level c...2010-01-01
59 Gerig, GuidoTeasing apart the heterogeneity of autism: Same behavior, different brains in toddlers with fragile X syndrome and autismTo examine brain volumes in substructures associated with the behavioral features of children with FXS compared to children with idiopathic autism and controls. A cross-sectional study of brain substructures was conducted at the first time-point as part of an ongoing longitudinal MRI study of brain ...2009-01-01
60 Gerig, GuidoA structural MRI study of human brain development from birth to two yearsBrain development in the first 2 years after birth is extremely dynamic and likely plays an important role in neurodevelopmental disorders, including autism and schizophrenia. Knowledge regarding this period is currently quite limited. We studied structural brain development in healthy subjects from...2008-01-01
61 Gerig, GuidoSpatio-temporal analysis of early brain developmentAnalysis of human brain development is a crucial step for improved understanding of neurodevelopmental disorders. We focus on normal brain development as is observed in the multimodal longitudinal MRI/DTI data of neonates to two years of age. We present a spatio-temporal analysis framework using Gom...2010-01-01
62 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
63 Gerig, GuidoVoxel-wise group analysis of DTIDiffusion 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
64 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
65 Gerig, GuidoTowards analysis of growth trajectory through multi-modal longitudinal MR imagingThe human brain undergoes significant changes in the first few years after birth, but knowledge about this critical period of development is quite limited. Previous neuroimaging studies have been mostly focused on morphometric measures such as volume and shape, although tissue property measures rela...2010-01-01
66 Gerig, GuidoA new framework for analyzing white matter maturation in early brain developmentThe trajectory of early brain development is marked by rapid growth presented by volume but also by tissue property changes. Capturing regional characteristics of axonal structuring and myelination via neuroimaging requires analysis of longitudinal image data with multiple modalities. Complementary ...2010-01-01
67 Gerig, GuidoQuality control of diffusion weighted imagesDiffusion Tensor Imaging (DTI) has become an important MRI procedure to investigate the integrity of white matter in brain in vivo. DTI is estimated from a series of acquired Diffusion Weighted Imaging (DWI) volumes. DWI data suffers from inherent low SNR, overall long scanning time of multiple dire...2010-01-01
68 Gerig, GuidoCortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coilThe acquisition of high quality MR images of neonatal brains is largely hampered by their characteristically small head size and low tissue contrast. As a result, subsequent image processing and analysis, especially for brain tissue segmentation, are often hindered. To overcome this problem, a dedic...2009-01-01
69 Gerig, GuidoDiscrimination analysis using Multi-object statistics of shape and poseA main focus of statistical shape analysis is the description of variability of a population of geometric objects. In this paper, we present work towards modeling the shape and pose variability of sets of multiple objects. Principal geodesic analysis (PGA) is the extension of the standard technique ...2007-01-01
70 Gerig, GuidoRegional gray matter growth, sexual dimorphism, and cerebral asymmetry in the Neonatal BrainAlthough there has been recent interest in the study of childhood and adolescent brain development, very little is known about normal brain development in the first few months of life. In older children, there are regional differences in cortical gray matter development, whereas cortical gray and wh...2007-01-01
71 Gerig, GuidoStatistical group differences in anatomical shape analysis using Hotelling T2 MetricShape 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
72 Gerig, GuidoStatistical shape analysis of Multi-Object complexesAn 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
73 Gerig, GuidoComputational anatomy to assess longitudinal trajectory of brain growthThis paper addresses the challenging problem of statistics on images by describing average and variability. We describe computational anatomy tools for building 3-D and spatio-temporal 4-D atlases of volumetric image data. The method is based on the previously published concept of unbiased atlas bui...2006-01-01
74 Gerig, GuidoStatistics of populations of images and its embedded objects: driving applications in neuroimagingWork 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
75 Gerig, GuidoStatistical shape analysis of brain structures using spherical waveletsWe 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
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