TU Wien Informatics

About

I am Associate Professor in Biomedical Visualization and Visual Analytics at the Research Unit of Computer Graphics of the Institute of Visual Computing & Human-Centered Technology, at TU Wien, Austria.

I investigate and design Visualization and Visual Analytics strategies, which address biological and medical applications. My core interests revolve around the following topics: 

  • Medical Visualization and Visual Analytics, to address the needs of P4 medicine: personalization, predictiveness, preventiveness, and patient participation.
  • Uncertainty Visualization, e.g., to analyze anatomical variability and its effect on treatments, or to investigate uncertainty in biological models. 
  • Ensemble and Comparative Visualization, e.g., to explore big data from large cohorts of patients, or to analyze models and simulations of biological processes.
  • (Augmented) Data Physicalization, to fabricate physical objects from the data for the education of the general public or for training (e.g., combined with AR).

Roles

  • Associate Professor
    Computer Graphics, E193-02
  • Curriculum Coordinator
    Bachelor / Specialization / Digital Health
  • Curriculum Coordinator
    Master Medical Informatics
  • Curriculum Commission for Informatics
    Principal Member

2024W

2025S

 

2025

  • TrustME: A Context-Aware Explainability Model to Promote User Trust in Guidance / Musleh, M., Raidou, R. G., & Ceneda, D. (2025). TrustME: A Context-Aware Explainability Model to Promote User Trust in Guidance. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2025.3562929
  • Investigating the Propagation of CT Acquisition Artifacts along the Medical Imaging Pipeline / Peischl, J., & Raidou, R. (2025). Investigating the Propagation of CT Acquisition Artifacts along the Medical Imaging Pipeline. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - (Volume 1) (pp. 752–764). https://doi.org/10.5220/0013254200003912
  • Leveraging Popular Board Games to Teach Data Visualization / Amabili, L., Gröller, M. E., & Raidou, R. G. (2025). Leveraging Popular Board Games to Teach Data Visualization. In C. Stoiber, M. Boucher, V. A. de Jesus Oliveira, V. Schetinger, V. Filipov, R. G. Raidou, L. Amabili, & M. Keck (Eds.), Visgames 2025: EuroVis Workshop on Visualization Play, Games, and Activities. The Eurographics Association. https://doi.org/10.2312/visgames.20251165
    Download: PDF (513 KB)
  • NODKANT: exploring constructive network physicalization / Pahr, D., Di Bartolomeo, S., Ehlers, H., Filipov, V. A., Stoiber, C., Aigner, W., Wu, H.-Y., & Raidou, R. G. (2025). NODKANT: exploring constructive network physicalization. Computer Graphics Forum, Article e70140. https://doi.org/10.1111/cgf.70140
    Download: Paper (14.3 MB)
    Projects: ArtVis (2022–2027) / SANE (2024–2027) / SMGV-Esprit (2024–2027)
  • Penta: Towards Visualizing Compound Graphs as Set-Typed Data / Ehlers, H., Kerndler, M., & Raidou, R. G. (2025). Penta: Towards Visualizing Compound Graphs as Set-Typed Data. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP, HUCAPP and IVAPP: IVAPP, (pp. 913–921). https://doi.org/10.5220/0013242300003912

2024

2023

2022

2021

2020

  • Principles of Visualization in Radiation Oncology / Schlachter, M., Preim, B., Bühler, K., & Raidou, R. G. (2020). Principles of Visualization in Radiation Oncology. Oncology, 98(6), 412–422. https://doi.org/10.1159/000504940
  • Slice and Dice: A Physicalization Workflow for Anatomical Edutainment / Raidou, R. G., Gröller, M. E., & Wu, H. (2020). Slice and Dice: A Physicalization Workflow for Anatomical Edutainment. Computer Graphics Forum, 39(7), 623–634. https://doi.org/10.1111/cgf.14173
  • VAPOR: Visual Analytics for the Exploration of Pelvic Organ Variability in Radiotherapy / Furmanová, K., Grossmann, N., Muren, L. P., Casares-Magaz, O., Moiseenko, V., Einck, J. P., Gröller, M. E., & Raidou, R. G. (2020). VAPOR: Visual Analytics for the Exploration of Pelvic Organ Variability in Radiotherapy. Computers and Graphics, 91, 25–38. https://doi.org/10.1016/j.cag.2020.07.001
  • Lessons Learnt from Developing Visual Analytics Applications for Adaptive Prostate Cancer Radiotherapy / Raidou, R., Furmanová, K., Grossmann, N., Casares-Magaz, O., Moiseenko, V., Einck, J. P., Gröller, E., & Muren, L. P. (2020). Lessons Learnt from Developing Visual Analytics Applications for Adaptive Prostate Cancer Radiotherapy. In C. Gillmann (Ed.), The Gap between Visualization Research and Visualization Software (VisGap) (2020) (pp. 1–8). Eurographics Association. https://doi.org/10.2312/visgap.20201110
  • PINGU Principles of Interactive Navigation for Geospatial Understanding / Oremus, Z., Hassan, K. A., Chmelik, J., Knazkova, M., Byska, J., Raidou, R. G., & Kozlikova, B. (2020). PINGU Principles of Interactive Navigation for Geospatial Understanding. In E. Eisemann (Ed.), 2020 IEEE Pacific Visualization Symposium (PacificVis). IEEE Computer Society. https://doi.org/10.1109/pacificvis48177.2020.7567
  • The Anatomical Edutainer / Schindler, M., Wu, H.-Y., & Raidou, R. G. (2020). The Anatomical Edutainer. In E. Bertini (Ed.), 2020 IEEE Visualization Conference (VIS). IEEE Computer Society Press. https://doi.org/10.1109/vis47514.2020.00007

2019

2018

2017

2016

  • Visual Analytics for the Exploration and Assessment of Segmentation Errors / Raidou, R., Marcelis, F. J. J., Breeuwer, M., Gröller, E., Vilanova, A., & Wetering, H. M. M. van de. (2016). Visual Analytics for the Exploration and Assessment of Segmentation Errors. In S. Bruckner, B. Preim, A. Vilanova, H. Hauser, A. Hennemuth, & A. Lundervold (Eds.), Proceedings of Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM) (pp. 193–202). The Eurographics Association. https://doi.org/10.2312/vcbm.20161287

 

  • EuroVis Young Researcher Award
    2022 / EuroGraphics European Association for Computer Graphics / Italy (South Tyrol)
  • EuroVis Best PhD Award
    2018 / EuroGraphics European Association for Computer Graphics / France
  • Dirk Bartz Prize for Visual Computing in Medicine (1st place)
    2017 / EuroGraphics European Association for Computer Graphics / Austria

Soon, this page will include additional information such as reference projects, activities as journal reviewer and editor, memberships in councils and committees, and other research activities.

Until then, please visit Renata Georgia Raidou’s research profile in TISS .