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Creator | Title | Description | Subject | Date |
| 51 |
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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 |
| 52 |
 |
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 |
| 53 |
 |
Gerig, Guido | Building spatiotemporal anatomical models using joint 4-D segmentation, registration, and subject-specific atlas estimation | Longitudinal analysis of anatomical changes is a vital component in many personalized-medicine applications for predicting disease onset, determining growth/atrophy patterns, evaluating disease progression, and monitoring recovery. Estimating anatomical changes in longitudinal studies, especially th... | | 2012-01-01 |
| 54 |
 |
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 |
| 55 |
 |
Dannhauer, Moritz | Visualizing simulated electrical fields from electroencephalography and transcranial electric brain stimulation: a comparative evaluation | Electrical activity of neuronal populations is a crucial aspect of brain activity. This activity is not measured directly but recorded as electrical potential changes using head surface electrodes (electroencephalogram - EEG). Head surface electrodes can also be deployed to inject electrical current... | | 2014-01-01 |
| 56 |
 |
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 |
| 57 |
 |
Gerig, Guido | Population-based fitting of medial shape models with correspondence optimization | A crucial problem in statistical shape analysis is establishing the correspondence of shape features across a population. While many solutions are easy to express using boundary representations, this has been a considerable challenge for medial representations. This paper uses a new 3-D medial model... | | 2007-01-01 |
| 58 |
 |
Gerig, Guido | Discordance of prenatal and neonatal brain development in twins | Background: Discordance of birth weight has been observed in twin pairs, though little is known about prenatal and early neonatal discordance of head and brain size, and the role that zygosity and chorionicity play in discordances of early brain development in twins. Aims: To compare prenatal and ne... | | 2009-01-01 |
| 59 |
 |
Gerig, Guido | A new framework for analyzing white matter maturation in early brain development | The 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 |
| 60 |
 |
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 |
| 61 |
 |
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 |
| 62 |
 |
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 |
| 63 |
 |
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 |
| 64 |
 |
Gerig, Guido | Analysis of longitudinal shape variability via subject specific growth modeling | Statistical analysis of longitudinal imaging data is crucial for understanding normal anatomical development as well as disease progression. This fundamental task is challenging due to the difficulty in modeling longitudinal changes, such as growth, and comparing changes across different populations... | | 2012-01-01 |
| 65 |
 |
Gerig, Guido | Evaluation of DTI property maps as basis of DTI atlas building | Compared 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 |
| 66 |
 |
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 |
| 67 |
 |
Seyedhosseini Tarzjani, Seyed Mojtaba | A workflow for the automatic segmentation of organelles in electron microscopy image stacks | Electron microscopy(EM) facilitates analysis of the form,distribution, and functional status of key organelle systems in various pathological processes,including those associated with neurodegenerative disease.Such EM data often provide important new in sights into the underlying disease mechanisms.... | | 2014-01-01 |
| 68 |
 |
Gur, Yaniv | Assessment of white matter microstructure in stroke patients using NODDI | Diffusion weighted imaging (DWI) is widely used to study changes in white matter following stroke. In various studies employing diffusion tensor imaging (DTI) and high angular resolution diffusion imaging (HARDI) modalities, it has been shown that fractional anisotropy (FA), me... | | 2014-01-01 |
| 69 |
 |
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 |
| 70 |
 |
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 |
| 71 |
 |
Gerig, Guido | Constrained data decomposition and regression for analyzing healthy aging from fiber tract diffusion properties | It has been shown that brain structures in normal aging undergo significant changes attributed to neurodevelopmental and neurodegeneration processes as a lifelong, dynamic process. Modeling changes in healthy aging will be necessary to explain differences to neurodegenerative patterns observed in m... | | 2009-01-01 |
| 72 |
 |
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 |
| 73 |
 |
Gerig, Guido | Topology preserving atlas construction from shape data without correspondence using sparse parameters | Statistical analysis of shapes, performed by constructing an atlas composed of an average model of shapes within a population and associated deformation maps, is a fundamental aspect of medical imaging studies. Usual methods for constructing a shape atlas require point correspondences across subject... | | 2012-01-01 |
| 74 |
 |
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 |
| 75 |
 |
Gerig, Guido | Longitudinal growth modeling of discrete-time functions with application to DTI tract evolution in early neurodevelopment | We 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 |
