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M. Eduard Gröller

M. Eduard Gröller

D-Index & Metrics

Computer Science

D-Index
33
Citations
4720
World Ranking
12671
National Ranking
112

Overview

M. Eduard Gröller is affiliated with TU Wien in Austria and specializes in the field of Computer Science. Their research has primarily focused on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Sociology and Political Science, Information Systems and Management, and Pulmonary and Respiratory Medicine.

The scientist's main research topics include Data Visualization and Analytics, Video Analysis and Summarization, Multimedia Communication and Technology, Scientific Computing and Data Management, Human Pose and Action Recognition, Anomaly Detection Techniques and Applications, and Web Data Mining and Analysis.

Recent publications demonstrate a strong presence in both theoretical and applied aspects of visualization and biomedical data analysis. Selected papers include:

  • "Molecumentary: Adaptable Narrated Documentaries Using Molecular Visualization" (2021), IEEE Transactions on Visualization and Computer Graphics
  • "HyperLabels: Browsing of Dense and Hierarchical Molecular 3D Models" (2020), IEEE Transactions on Visualization and Computer Graphics
  • "Context-responsive labeling in augmented reality" (2021), reposiTUm (TU Wien)
  • "Semi-automatic vessel detection for challenging cases of peripheral arterial disease" (2021), Computers in Biology and Medicine
  • "VAPOR: Visual Analytics for the Exploration of Pelvic Organ Variability in Radiotherapy" (2020), Computers & Graphics

The scientist frequently publishes in several venues, with multiple contributions to:

  • IEEE Transactions on Visualization and Computer Graphics
  • Computers & Graphics
  • Computer Graphics Forum
  • arXiv (Cornell University)
  • Computers in Biology and Medicine

Collaborations are significant in their career, with frequent coauthors including Renata G. Raidou, Katarína Furmanová, Barbora Kozlíková, Thomas Höllt, and Bernhard Preim.

M. Eduard Gröller also has a book publication titled BioMedical Visualization (2024) published by Morgan & Claypool Publishers.

Best Publications

  • VolumeShop: an interactive system for direct volume illustration

    S. Bruckner;M.E. Groller

  • Importance-Driven Volume Rendering

    Unknown

  • Two-level volume rendering

    H. Hauser;L. Mroz;G. Italo Bischi;M.E. Groller

  • Importance-driven feature enhancement in volume visualization

    Unknown

  • Style Transfer Functions for Illustrative Volume Rendering

    S. Bruckner;M. E. Gröller

  • Exploded Views for Volume Data

    S. Bruckner;M.E. Groller

  • Fast Visualization of Object Contours by Non-Photorealistic Volume Rendering

    Balázs Csébfalvi;Lukas Mroz;Helwig Hauser;Andreas König

  • Illustrative Context-Preserving Exploration of Volume Data

    S. Bruckner;S. Grimm;A. Kanitsar;M.E. Groller

  • State of the Art in Transfer Functions for Direct Volume Rendering

    Patric Ljung;Jens Krüger;Eduard Groller;Markus Hadwiger

  • Strategies for interactive exploration of 3D flow using evenly-spaced illuminated streamlines

    Oliver Mattausch;Thomas Theußl;Helwig Hauser;Eduard Gröller

  • Optimal regular volume sampling

    T. Theussl;T. Moller;M.E. Groller

  • Illustrative context-preserving volume rendering

    Stefan Bruckner;Sören Grimm;Armin Kanitsar;M. Eduard Gröller

  • Instant volume visualization using maximum intensity difference accumulation

    Stefan Bruckner;M. Eduard Gröller

  • Hardware-based nonlinear filtering and segmentation using high-level shading languages

    Unknown

  • Semantic Layers for Illustrative Volume Rendering

    P. Rautek;S. Bruckner;M. Eduard Groller

  • Gradient Estimation in Volume Data using 4D Linear Regression

    László Neumann;Balázs Csébfalvi;Andreas König;M. Eduard Gröller

  • Nonlinear ray tracing: visualizing strange worlds

    M. Eduard Gröller

  • Advanced curved planar reformation: flattening of vascular structures

    Unknown

  • Interactive High-Quality Maximum Intensity Projection

    Lukas Mroz;Helwig Hauser;M. Eduard Gröller

  • Feature emphasis and contextual cutaways for multimodal medical visualization

    Michael Burns;Martin Haidacher;Wolfgang Wein;Ivan Viola

  • Exploration of 4D MRI Blood Flow using Stylistic Visualization

    Roy van Pelt;Javier Oliván Bescós;Marcel Breeuwer;Rachel E Clough

  • BrainGazer - Visual Queries for Neurobiology Research

    S. Bruckner;V. Solteszova;M.E. Groller;J. Hladuvka

  • VolumeShop: An Interactive System for Direct Volume Illustration

    Unknown

  • Two-level volume rendering — fusing MIP and DVR

    Helwig Hauser;Lukas Mroz;Gian-Italo Bischi;M. Eduard Gröller

  • Volume visualization based on statistical transfer-function spaces

    Martin Haidacher;Daniel Patel;Stefan Bruckner;Armin Kanitsar

  • Flexible Direct Multi-Volume Rendering in Dynamic Scenes.

    Sören Grimm;Stefan Bruckner;Armin Kanitsar;M. Eduard Gröller

  • Process visualization with levels of detail

    K. Matkovic;H. Hauser;R. Sainitzer;M.E. Groller

  • Information-based transfer functions for multimodal visualization

    Martin Haidacher;Stefan Bruckner;Armin Kanitsar;M. Eduard Gröller

  • Mastering windows: improving reconstruction

    Helwig Hauser;Eduard Groller;Thomas Theussl

Frequent Co-Authors

Tobias Isenberg
Tobias Isenberg French Institute for Research in Computer Science and Automation - INRIA
Torsten Möller
Torsten Möller University of Vienna
Helwig Hauser
Helwig Hauser University of Bergen
David S. Goodsell
David S. Goodsell Rutgers, The State University of New Jersey
Arthur J. Olson
Arthur J. Olson Scripps Research Institute
Anna Vilanova
Anna Vilanova Eindhoven University of Technology
Bernhard Preim
Bernhard Preim Otto-von-Guericke University Magdeburg
Joseph V. Hajnal
Joseph V. Hajnal King's College London
Michael Knapp
Michael Knapp Karlsruhe Institute of Technology

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