Lars Linsen
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View article: Exploring High-Dimensional LA-ICP-TOFMS Data with Uniform Manifold Approximation and Projection (UMAP)
Exploring High-Dimensional LA-ICP-TOFMS Data with Uniform Manifold Approximation and Projection (UMAP) Open
Spectral imaging generates information-rich datasets comprising a large map of pixels that each contain a comprehensive spectrum. A specific form of mass spectral imaging is laser ablation-inductively coupled plasma-time-of-flight mass spe…
View article: Mapping Mental Models of Uncertainty to Parallel Coordinates by Probabilistic Brushing
Mapping Mental Models of Uncertainty to Parallel Coordinates by Probabilistic Brushing Open
Through training and gathered experience, domain experts attain a mental model of the uncertainties inherent in the visual analytics processes for their respective domain. For an accurate data analysis and trustworthiness of the analysis r…
View article: XMTC: Explainable Early Classification of Multivariate Time Series in Reach-to-Grasp Hand Kinematics
XMTC: Explainable Early Classification of Multivariate Time Series in Reach-to-Grasp Hand Kinematics Open
Hand kinematics can be measured in Human-Computer Interaction (HCI) with the intention to predict the user's intention in a reach-to-grasp action. Using multiple hand sensors, multivariate time series data are being captured. Given a numbe…
View article: Exploring high-dimensional LA-ICP-TOFMS data with uniform manifold approximation and projection (UMAP)
Exploring high-dimensional LA-ICP-TOFMS data with uniform manifold approximation and projection (UMAP) Open
Uniform manifold approximation and projection (UMAP) enables dimensionality reduction, comprehensive data visualisation, and segmentation of elemental mass spectrometry imaging data.
View article: Rapid versus slow degeneration and complications of biomaterials in patients with congenital heart disease
Rapid versus slow degeneration and complications of biomaterials in patients with congenital heart disease Open
Thrombus formation is a main rapid degeneration cause in the RVOT. Deteriorations of biomaterials in CHD patients show strong parallels to bioprosthetic valve degenerations. Early calcification in young patients is supported by our semi-qu…
View article: Topologically Accurate Dual Isosurfacing Using Ray Intersection
Topologically Accurate Dual Isosurfacing Using Ray Intersection Open
“Dual contouring” approaches provide an alternative to standard Marching Cubes (MC) method to extract and approximate an isosurface from trivariate data given on a volumetric mesh. These dual approaches solve some of the problems encounter…
View article: Interactive visual formula composition of multidimensional data classifiers
Interactive visual formula composition of multidimensional data classifiers Open
Understanding how a classification result is generated and what role individual features play in the classification is crucial in many applications and, in particular, in medical contexts such as the translation of diagnosis biomarkers int…
View article: 2D Embeddings of Multi-Dimensional Partitionings
2D Embeddings of Multi-Dimensional Partitionings Open
Partitionings (or segmentations) divide a given domain into disjoint connected regions whose union forms again the entire domain. Multi-dimensional partitionings occur, for example, when analyzing parameter spaces of simulation models, whe…
View article: 2D Embeddings of Multi-dimensional Partitionings
2D Embeddings of Multi-dimensional Partitionings Open
Partitionings (or segmentations) divide a given domain into disjoint connected regions whose union forms again the entire domain. Multi-dimensional partitionings occur, for example, when analyzing parameter spaces of simulation models, whe…
View article: Interactive Visual Analysis of Spatial Sensitivities
Interactive Visual Analysis of Spatial Sensitivities Open
Sensitivity analyses of simulation ensembles determine how simulation parameters influence the simulation's outcome. Commonly, one global numerical sensitivity value is computed per simulation parameter. However, when considering 3D spatia…
View article: De-Cluttering Scatterplots With Integral Images
De-Cluttering Scatterplots With Integral Images Open
Scatterplots provide a visual representation of bivariate data (or 2D embeddings of multivariate data) that allows for effective analyses of data dependencies, clusters, trends, and outliers. Unfortunately, classical scatterplots suffer fr…
View article: Visual analytics of soccer player performance using objective ratings
Visual analytics of soccer player performance using objective ratings Open
The performance of soccer players is commonly rated by soccer experts for each match as well as over a tournament or during a season/year. However, these ratings are mostly subjective. We instead propose a visual analytics approach for a m…
View article: Particle-Wise Higher-Order SPH Field Approximation for DVR
Particle-Wise Higher-Order SPH Field Approximation for DVR Open
When employing Direct Volume Rendering (DVR) for visualizing volumetric scalar fields, classification is generally performed on a piecewise constant or piecewise linear approximation of the field on a viewing ray. Smoothed Particle Hydrody…
View article: A multimodal view at cancerous liver tissue by chemical bioimaging and image segmentation strategies
A multimodal view at cancerous liver tissue by chemical bioimaging and image segmentation strategies Open
Six complementary biomedical imaging modalities are combined providing substantial correlation capabilities between optical, elemental and molecular tissue characteristics. Diseased rat liver tissue with hepatocellular carcinoma (HCC) was …
View article: Time-resolved velocity mapping at high magnetic fields: A preclinical comparison between stack‐of‐stars and cartesian 4D-Flow
Time-resolved velocity mapping at high magnetic fields: A preclinical comparison between stack‐of‐stars and cartesian 4D-Flow Open
Purpose: Prospectively-gated Cartesian 4D-flow (referred to as Cartesian-4D-flow) imaging suffers from long TE and intensified flow-related intravoxel-dephasing especially in preclinical ultra-high field MRI. The ultra-short-echo (UTE) 4D-…
View article: Voreen -- An Open-source Framework for Interactive Visualization and Processing of Large Volume Data
Voreen -- An Open-source Framework for Interactive Visualization and Processing of Large Volume Data Open
Technological advances for measuring or simulating volume data have led to large data sizes in many research areas such as biology, medicine, physics, and geoscience. Here, large data can refer to individual data sets with high spatial and…
View article: ASEVis: Visual Exploration of Active System Ensembles to Define Characteristic Measures
ASEVis: Visual Exploration of Active System Ensembles to Define Characteristic Measures Open
Simulation ensembles are a common tool in physics for understanding how a model outcome depends on input parameters. We analyze an active particle system, where each particle can use energy from its surroundings to propel itself. A multi-d…
View article: Evaluating Data‐type Heterogeneity in Interactive Visual Analyses with Parallel Axes
Evaluating Data‐type Heterogeneity in Interactive Visual Analyses with Parallel Axes Open
The application of parallel axes for the interactive visual analysis of multidimensional data is a widely used concept. While multidimensional data sets are commonly heterogeneous in nature, i.e. data items contain both numerical and categ…
View article: Fingerprints of Element Concentrations in Infective Endocarditis Obtained by Mass Spectrometric Imaging and t-Distributed Stochastic Neighbor Embedding
Fingerprints of Element Concentrations in Infective Endocarditis Obtained by Mass Spectrometric Imaging and t-Distributed Stochastic Neighbor Embedding Open
Staphylococcus aureus-induced infective endocarditis (IE) is a life-threatening disease. Differences in virulence between distinct S. aureus strains, which are partly based on the molecular mechanisms during bacterial adhesion, are not ful…
View article: Pulmonary Arteriovenous Pressure Gradient and Time-Averaged Mean Velocity of Small Pulmonary Arteries Can Serve as Sensitive Biomarkers in the Diagnosis of Pulmonary Arterial Hypertension: A Preclinical Study by 4D-Flow MRI
Pulmonary Arteriovenous Pressure Gradient and Time-Averaged Mean Velocity of Small Pulmonary Arteries Can Serve as Sensitive Biomarkers in the Diagnosis of Pulmonary Arterial Hypertension: A Preclinical Study by 4D-Flow MRI Open
(1) Background: Pulmonary arterial hypertension (PAH) is a serious condition that is associated with many cardiopulmonary diseases. Invasive right heart catheterization (RHC) is currently the only method for the definitive diagnosis and fo…
View article: Uncertainty-aware Topic Modeling Visualization
Uncertainty-aware Topic Modeling Visualization Open
Topic modeling is a state-of-the-art technique for analyzing text corpora. It uses a statistical model, most commonly Latent Dirichlet Allocation (LDA), to discover abstract topics that occur in the document collection. However, the LDA-ba…
View article: Uncertainty-aware Topic Modeling Visualization
Uncertainty-aware Topic Modeling Visualization Open
Topic modeling is a state-of-the-art technique for analyzing text corpora. It uses a statistical model, most commonly Latent Dirichlet Allocation (LDA), to discover abstract topics that occur in the document collection. However, the LDA-ba…
View article: Uncertainty‐aware Visualization of Regional Time Series Correlation in Spatio‐temporal Ensembles
Uncertainty‐aware Visualization of Regional Time Series Correlation in Spatio‐temporal Ensembles Open
Given a time‐varying scalar field, the analysis of correlations between different spatial regions, i.e., the linear dependence of time series within these regions, provides insights into the structural properties of the data. In this conte…
View article: The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks
The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks Open
Overfitting is one of the fundamental challenges when training convolutional neural networks and is usually identified by a diverging training and test loss. The underlying dynamics of how the flow of activations induce overfitting is howe…