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| Creator | Title | Description | Subject | Date | ||
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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 | |
| 2 |
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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 | |
| 3 |
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Sanderson, Allen Reed | An alternative formulation of lyapunov exponents for computing lagrangian coherent structures | Lagrangian coherent structures are time-evolving surfaces that highlight areas in flow fields where neighboring advected particles diverge or converge. The detection and understanding of such structures is an important part of many applications such as in oceanography where there is a need to predic... | 2014-01-01 | |
| 4 |
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Gerig, Guido | Spatial intensity prior correction for tissue segmentation in the developing human brain | The 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 | |
| 5 |
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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 | |
| 6 |
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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 | |
| 7 |
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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 | |
| 8 |
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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 | |
| 9 |
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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 | |
| 10 |
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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 | |
| 11 |
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Gerig, Guido | Correspondence evaluation in local shape analysis and structural subdivision | Regional volumetric and local shape analysis has become of increasing interest to the neuroimaging community due to the potential to locate morphological changes. In this paper we compare three common correspondence methods applied to two studies of hippocampal shape in schizophrenia: correspondence... | 2007-01-01 | |
| 12 |
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Gerig, Guido | Multiscale medial shape-based analysis of image objects | Medial 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 | |
| 13 |
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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 | |
| 14 |
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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 | |
| 15 |
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Rosen, Paul Andrew | 2D vector field simplification based on robustness | Vector field simplification aims to reduce the complexity of the flow by removing features in order of their relevance and importance, to reveal prominent behavior and obtain a compact representation for interpretation. Most existing simplification techniques based on the topological skeleton succes... | 2014-01-01 |
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