Browsing by Author "Ynnerman, Anders"

Now showing items 1-9 of 9

    • Design of a Real Time Visual Analytics Support Tool for Conflict Detection and Resolution in Air Traffic Control 

      Zohrevandi, Elmira; Westin, Carl A. L.; Lundberg, Jonas; Ynnerman, Anders (The Eurographics Association, 2020)
      Air traffic control is a safety critical high-risk environment where operators need to analyse and interpret traffic dynamics of spatio-temporal data in real-time. To support the air traffic controller in safely separating ...

    • Feature Exploration using Local Frequency Distributions in Computed Tomography Data 

      Falk, Martin; Ljung, Patric; Lundström, Claes; Ynnerman, Anders; Hotz, Ingrid (The Eurographics Association, 2020)
      Frequency distributions (FD) are an important instrument when analyzing and investigating scientific data. In volumetric visualization, for example, frequency distributions visualized as histograms, often assist the user ...

    • MolFind - Integrated Multi-Selection Schemes for Complex Molecular Structures 

      Skånberg, Robin; Linares, Mathieu; Falk, Martin; Hotz, Ingrid; Ynnerman, Anders (The Eurographics Association, 2019)
      Selecting components and observing changes of properties and configurations over time is an important step in the analysis of molecular dynamics (MD) data. In this paper, we present a selection tool combining text-based ...

    • The State of the Art of Spatial Interfaces for 3D Visualization 

      Besançon, Lonni; Ynnerman, Anders; Keefe, Daniel F.; Yu, Lingyun; Isenberg, Tobias (© 2021 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2021)
      We survey the state of the art of spatial interfaces for 3D visualization. Interaction techniques are crucial to data visualization processes and the visualization research community has been calling for more research on ...

    • Visual Analysis of the Impact of Neural Network Hyper-Parameters 

      Jönsson, Daniel; Eilertsen, Gabriel; Shi, Hezi; Zheng, Jianmin; Ynnerman, Anders; Unger, Jonas (The Eurographics Association, 2020)
      We present an analysis of the impact of hyper-parameters for an ensemble of neural networks using tailored visualization techniques to understand the complicated relationship between hyper-parameters and model performance. ...

    • A Visual Environment for Hypothesis Formation and Reasoning in Studies with fMRI and Multivariate Clinical Data 

      Jönsson, Daniel; Bergström, Albin; Forsell, Camilla; Simon, Rozalyn; Engström, Maria; Ynnerman, Anders; Hotz, Ingrid (The Eurographics Association, 2019)
      We present an interactive visual environment for linked analysis of brain imaging and clinical measurements. The environment is developed in an iterative participatory design process involving neuroscientists investigating ...

    • Visualization Challenges of Variant Interpretation in Multiscale NGS Data 

      Ståhlbom, Emilia; Molin, Jesper; Lundström, Claes; Ynnerman, Anders (The Eurographics Association, 2022)
      There is currently a movement in health care towards precision medicine, where genomics often is the central diagnostic component for tailoring the treatment to the individual patient. We here present results from a domain ...

    • Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth 

      Lan, Fangfei; Young, Michael; Anderson, Lauren; Ynnerman, Anders; Bock, Alexander; Borkin, Michelle A.; Forbes, Angus G.; Kollmeier, Juna A.; Wang, Bei (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We present a state-of-the-art report on visualization in astrophysics. We survey representative papers from both astrophysics and visualization and provide a taxonomy of existing approaches based on data analysis tasks. ...

    • VisualNeuro: A Hypothesis Formation and Reasoning Application for Multi‐Variate Brain Cohort Study Data 

      Jönsson, Daniel; Bergström, Albin; Forsell, Camilla; Simon, Rozalyn; Engström, Maria; Walter, Susanna; Ynnerman, Anders; Hotz, Ingrid (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      We present an application, and its development process, for interactive visual analysis of brain imaging data and clinical measurements. The application targets neuroscientists interested in understanding the correlations ...