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| Creator | Title | Description | Subject | Date | ||
|---|---|---|---|---|---|---|
| 26 |
 | 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 | |
| 27 |
 | Gerig, Guido | Diffusion tensor imaging: application to the study of the developing brain | Objective: To provide an overview of diffusion tensor imaging (DTI) and its application to the study of white matter in the developing brain, in both healthy and clinical samples. Method: The development of DTI and its application to brain imaging of white matter tracts is discussed. 48 studies usi... | 2007-01-01 | |
| 28 |
 | 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 | |
| 29 |
 | 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 | |
| 30 |
 | Gerig, Guido | Discrimination analysis using Multi-object statistics of shape and pose | A 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 | |
| 31 |
 | 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 | |
| 32 |
 | 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 | |
| 33 |
 | 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 | |
| 34 |
 | Gerig, Guido | Efficient probabilistic and geometric anatomical mapping using particle mesh approximation on GPUs | Deformable image registration in the presence of considerable contrast differences and large size and shape changes presents significant research challenges. First, it requires a robust registration framework that does not depend on intensity measurements and can handle large nonlinear shape variati... | 2011-01-01 | |
| 35 |
 | Rondina, Matthew Thomas | Emerging evidence for platelets as immune and inflammatory effector cells | While traditionally recognized for their roles in hemostatic pathways, emerging evidence demonstrates that platelets have previously unrecognized, dynamic roles that span the immune continuum. These newly recognized platelet functions, including the secretion of immune mediators, interactions with e... | 2014-01-01 | |
| 36 |
 | Gerig, Guido | Estimation of smooth growth trajectories with controlled acceleration from time series shape data | Longitudinal shape analysis often relies on the estimation of a realistic continuous growth scenario from data sparsely distributed in time. In this paper, we propose a new type of growth model para-meterized by acceleration, whereas standard methods typically control the velocity. This mimics the b... | 2011-01-01 | |
| 37 |
 | 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 | |
| 38 |
 | Gerig, Guido | Functional connectivity MR imaging reveals cortical functional connectivity in the developing brain | BACKGROUND AND PURPOSE: Unlike conventional functional MR imaging where external sensory/cognitive paradigms are needed to specifically activate different regions of the brain, resting functional connectivity MR imaging acquires images in the absence of cognitive demands (a resting condition) and de... | 2008-01-01 | |
| 39 |
 | Gur, Yaniv | Generalized hardi invariants by method of tensor contraction | We propose a 3D object recognition technique to construct rotation invariant feature vectors for high angular resolution diffusion imaging (HARDI). This method uses the spherical harmonics (SH) expansion and is based on generating rank-1 contravariant tensors using the SH coefficients, and contracti... | 2014-01-01 | |
| 40 |
 | 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 | |
| 41 |
 | 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 | |
| 42 |
 | 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 | |
| 43 |
 | 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 | |
| 44 |
 | Gerig, Guido | Group mean differences of voxel and surface objects via nonlinear averaging | Building 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 | |
| 45 |
 | Gerig, Guido | Group statistics of DTI fiber bundles using spatial functions of tensor measures | We 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 | |
| 46 |
 | Macleod, Robert S. | Identification and acute targeting of gaps in atrial ablation lesion sets using a real-time magnetic resonance imaging system | Background-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 | |
| 47 |
 | Gerig, Guido | Image registration driven by combined probabilistic and geometric descriptors | Deformable 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 | |
| 48 |
 | Seyedhosseini Tarzjani, Seyed Mojtaba | Image segmentation with cascaded hierarchical models and logistic disjunctive normal networks | Contextual 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 | |
| 49 |
 | Gerig, Guido | Images in neuroscience: Fetal and Neonatal Brain Development | In 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 | |
| 50 |
 | 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 |