2022W

• Bachelor Thesis for Computer Science and Business Informatics / 186.829 / PR
• Exclusive Turorial for PhDs (method seminar) / 186.070 / PV
• Project in Medical Informatics / 186.847 / PR
• Project in Visual Computing 1 / 193.071 / PR
• Project in Visual Computing 2 / 193.072 / PR
• Scientific Research and Writing / 193.052 / SE
• Selected Chapters from Medical Visualization / 186.105 / VU
• Selected Topics in Computer Graphics / 186.167 / VU
• Seminar for Master Students in Medical Informatics / 180.776 / SE
• Seminar for Master Students in Visual Computing / 180.774 / SE
• Seminar for PhD students / 186.195 / SE
• Seminar in Computer Graphics / 186.175 / SE
• Seminar in Visualization / 186.046 / SE
• Seminar on medical informatics / 186.848 / SE

2023S

• Bachelor Thesis for Computer Science and Business Informatics / 186.829 / PR
• Computer Animation / 186.139 / VU
• Orientation Bachelor with Honors of Informatics and Business Informatics / 180.767 / SE
• Project in Medical Informatics / 186.847 / PR
• Project in Visual Computing 1 / 193.071 / PR
• Project in Visual Computing 2 / 193.072 / PR
• Scientific Research and Writing / 193.052 / SE
• Selected Topics in Computer Graphics / 186.167 / VU
• Seminar for Master Students in Medical Informatics / 180.776 / SE
• Seminar for Master Students in Visual Computing / 180.774 / SE
• Seminar in Computer Graphics / 186.175 / SE
• Seminar in Visualization / 186.046 / SE
• Visualization of Medical Data 2 / 186.138 / VU

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.

2023

• Uncertainty guidance in proton therapy planning visualization / Musleh, M., Muren, L. P., Toussaint, L., Vestergaard, A., Gröller, E., & Raidou, R. G. (2023). Uncertainty guidance in proton therapy planning visualization. Computers and Graphics, 111. https://doi.org/10.1016/j.cag.2023.02.002

2022

• Visual Analytics to Assess Deep Learning Models for Cross-Modal Brain Tumor Segmentation / Magg, C., & Raidou, R. G. (2022). Visual Analytics to Assess Deep Learning Models for Cross-Modal Brain Tumor Segmentation. In Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM 2022) (pp. 111–115). The Eurographics Association. https://doi.org/10.2312/vcbm.20221193
• Breast cancer patient characterisation and visualisation using deep learning and fisher information networks / Ortega-Martorell, S., Riley, P., Olier, I., Raidou, R. G., Casana-Eslava, R., Rea, M., Shen, L., Lisboa, P. J. G., & Palmieri, C. (2022). Breast cancer patient characterisation and visualisation using deep learning and fisher information networks. Scientific Reports, 12, Article 14004. https://doi.org/10.1038/s41598-022-17894-6
• Nested Papercrafts for Anatomical and Biological Edutainment / Schindler, M., Korpitsch, T., Raidou, R. G., & Wu, H.-Y. (2022). Nested Papercrafts for Anatomical and Biological Edutainment. In Eurographics Conference on Visualization (EuroVis) 2022 (pp. 541–553). Wiley & Sons Ltd. https://doi.org/10.1111/cgf.14561
• Understanding the impact of statistical and machine learning choices on predictive models for radiotherapy / Böröndy, A., Furmanová, K., & Raidou, R. G. (2022). Understanding the impact of statistical and machine learning choices on predictive models for radiotherapy. In VCBM 2022: Eurographics Workshop on Visual Computing for Biology and Medicine (pp. 65–69). The Eurographics Association. https://doi.org/10.34726/3822

2021

• A Taxonomy-Driven Model for Designing Educational Games in Visualization / Amabili, L., Gupta, K., & Raidou, R. G. (2021). A Taxonomy-Driven Model for Designing Educational Games in Visualization. IEEE Computer Graphics and Applications, 41(6), 71–79. https://doi.org/10.1109/mcg.2021.3115446
• PREVIS: Predictive visual analytics of anatomical variability for radiotherapy decision support / Furmanová, K., Muren, L. P., Casares-Magaz, O., Moiseenko, V., Einck, J. P., Pilskog, S., & Raidou, R. G. (2021). PREVIS: Predictive visual analytics of anatomical variability for radiotherapy decision support. Computers and Graphics, 97, 126–138. https://doi.org/10.1016/j.cag.2021.04.010
• Visualization working group at TU Wien: Visibile Facimus Quod Ceteri Non Possunt / Wu, H.-Y., Amirkhanov, A., Grossmann, N., Klein, T., Kouřil, D., Miao, H., Luidolt, L. R., Mindek, P., Raidou, R. G., Viola, I., Waldner, M., & Gröller, M. E. (2021). Visualization working group at TU Wien: Visibile Facimus Quod Ceteri Non Possunt. Visual Informatics, 5(1), 76–84. https://doi.org/10.1016/j.visinf.2021.02.003
• Visual Assessment of Growth Prediction in Brain Structures after Pediatric Radiotherapy / Magg, C., Toussaint, L., Muren, L. P., Indelicato, D., & Raidou, R. (2021). Visual Assessment of Growth Prediction in Brain Structures after Pediatric Radiotherapy. In VCBM 2021: Eurographics Workshop on Visual Computing for Biology and Medicine (pp. 31–35). Eurographics Association. https://doi.org/10.2312/vcbm.20211343
• Vologram: An Educational Holographic Sculpture for Volumetric Medical Data Physicalization / Pahr, D., Wu, H.-Y., & Raidou, R. (2021). Vologram: An Educational Holographic Sculpture for Volumetric Medical Data Physicalization. In VCBM 2021: Eurographics Workshop on Visual Computing for Biology and Medicine (pp. 19–23). Eurographics Association. https://doi.org/10.2312/vcbm.20211341

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
• 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
• Slice and Dice: A PhysicalizationWorkflow for Anatomical Edutainment / Raidou, R. G., Gröller, M. E., & Wu, H. (2020). Slice and Dice: A PhysicalizationWorkflow for Anatomical Edutainment. Computer Graphics Forum, 39(7), 623–634. https://doi.org/10.1111/cgf.14173
• 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

• The Vitruvian Baby: Interactive Reformation of Fetal Ultrasound Data to a T-Position / Mörth, E., Raidou, R., Viola, I., & Smit, N. N. (2019). The Vitruvian Baby: Interactive Reformation of Fetal Ultrasound Data to a T-Position. In Eurographics Workshop on Visual Computing for Biology and Medicine (pp. 201–205). http://hdl.handle.net/20.500.12708/57949
• State-of-the-Art Report: Visual Computing in Radiation Therapy Planning / Schlachter, M., Raidou, R., Muren, L. P., Preim, B., & Bühler, K. (2019). State-of-the-Art Report: Visual Computing in Radiation Therapy Planning. Computer Graphics Forum, 38(3), 753–779. https://doi.org/10.1111/cgf.13726
• Shapes of Time: Visualizing Set Changes Over Time in Cultural Heritage Collections / Salisu, S., Mayr, E., Filipov, V., Almeida Leite, R., Miksch, S., & Windhager, F. (2019). Shapes of Time: Visualizing Set Changes Over Time in Cultural Heritage Collections. In J. M. Pereira & R. Raidou (Eds.), 21st EG/VGTC Conference on Visualization (EuroVis 2019) (pp. 45–47). Proceedings of the 21st EG/VGTC Conference on Visualization (EuroVis 2019). https://doi.org/10.2312/eurp.20191142 / Project: Space-Time Cube
• Pelvis Runner: Visualizing Pelvic Organ Variability in a Cohort of Radiotherapy Patients / Grossmann, N., Casares-Magaz, O., Muren, L. P., Moiseenko, L. P., Einck, J., Gröller, E., & Raidou, R. (2019). Pelvis Runner: Visualizing Pelvic Organ Variability in a Cohort of Radiotherapy Patients. In Proceedings of the 9th Eurographics Workshop on Visual Computing for Biology and Medicine (pp. 69–78). EG digital library. https://doi.org/10.2312/vcbm.20191233
• preha: Establishing Precision Rehabilitation with Visual Analytics / Bernold, G., Matkovic, K., Gröller, E., & Raidou, R. (2019). preha: Establishing Precision Rehabilitation with Visual Analytics. In Eurographics Workshop on Visual Computing for Biology and Medicine (2019) (pp. 79–89). http://hdl.handle.net/20.500.12708/57950
• Relaxing Dense Scatter Plots with Pixel-Based Mappings / Raidou, R., Gröller, E., & Eisemann, M. (2019). Relaxing Dense Scatter Plots with Pixel-Based Mappings. In IEEE Transactions on Visualization and Computer Graphics (pp. 2205–2216). IEEE Computer Society. https://doi.org/10.1109/tvcg.2019.2903956
• ManyLands: A Journey Across 4D Phase Space of Trajectories / Amirkhanov, A., Kosiuk, I., Szmolyan, P., Amirkhanov, A., Mistelbauer, G., Gröller, E., & Raidou, R. (2019). ManyLands: A Journey Across 4D Phase Space of Trajectories. In Eurographics journal, Computer Graphics Forum (CGF) Volume 38, Issue 7 (pp. 191–202). Eurographics journal, Computer Graphics Forum (CGF). http://hdl.handle.net/20.500.12708/57902
• Visual Analytics for the Representation, Exploration and Analysis of High-Dimensional, Multi-Faceted Medical Data / Raidou, R. (2019). Visual Analytics for the Representation, Exploration and Analysis of High-Dimensional, Multi-Faceted Medical Data. In Biomedical Visualisation (pp. 137–162). Springer International Publishing. http://hdl.handle.net/20.500.12708/30122

2018

• Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool / Raidou, R., & Vilanova i Bartroli, A. (2018). Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool. Physics and Imaging in Radiation Oncology, 5, 5–8. https://doi.org/10.1016/j.phro.2017.12.003
• VisualFlatter - Visual Analysis of Distortions in the Projection of Biomedical Structures / Grossmann, N., Köppel, T., Gröller, E., & Raidou, R. (2018). VisualFlatter - Visual Analysis of Distortions in the Projection of Biomedical Structures. In Eurographics Proceedings. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), Chester, United Kingdom, EU. Eurographics. https://doi.org/10.2312/vcbm.20181242
• Comparative Visual Analysis of Pelvic Organ Segmentations / Reiter, O., Breeuwer, M., Gröller, E., & Raidou, R. (2018). Comparative Visual Analysis of Pelvic Organ Segmentations. In Proceedings of EuroVis 2018 (pp. 37–41). Computer Graphics Forum. https://doi.org/10.2312/eurovisshort.20181075
• ChemoExplorer: A Dashboard for the Visual Analysis of ChemotherapyResponse in Breast Cancer Patients / Karall, N., Gröller, E., & Raidou, R. (2018). ChemoExplorer: A Dashboard for the Visual Analysis of ChemotherapyResponse in Breast Cancer Patients. In Proceedings of EuroVis 2018 (pp. 49–53). Computer Graphics Forum. https://doi.org/10.2312/eurovisshort.20181077
• Bladder Runner: Visual Analytics for the Exploration of RT-Induced Bladder Toxicity in a Cohort Study / Raidou, R., Amirkhanov, A., Vilanova i Bartroli, A., & Gröller, E. (2018). Bladder Runner: Visual Analytics for the Exploration of RT-Induced Bladder Toxicity in a Cohort Study. In Proceedings of EuroVis 2018 (pp. 205–216). Computer Graphics Forum. http://hdl.handle.net/20.500.12708/57381
• Uncertainty Visualization: Recent Developments and Future Challenges inProstate Cancer Radiotherapy Planning / Raidou, R. (2018). Uncertainty Visualization: Recent Developments and Future Challenges inProstate Cancer Radiotherapy Planning. In Proceedings EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3) 2018 (pp. 13–17). The Eurographics Association. https://doi.org/10.2312/eurorv3.20181143

2017

• Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline / Raidou, R., Breeuwer, M., & Vilanova i Bartroli, A. (2017). Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline. In Proceedings of Eurographics. Eurographics, Dublin, Irland, Austria. Eurographics. https://doi.org/10.2312/egm.20171042

2016

• Visual Analytics for the Exploration and Assessment of Segmentation Errors / Raidou, R., Gröller, E., & Vilanova i Bartroli, A. (2016). Visual Analytics for the Exploration and Assessment of Segmentation Errors. In 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

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.

• Visual Analytics to Support Correlative Exploration and Sensemaking in Radiogenomics Analysis / El-Sherbiny, S. (2023). Visual Analytics to Support Correlative Exploration and Sensemaking in Radiogenomics Analysis [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.102442
• Investigating the Effect of Tumor Segmentations on Radiomics Analysis through Visual Analytics / Duong, M. (2023). Investigating the Effect of Tumor Segmentations on Radiomics Analysis through Visual Analytics [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.99620
• Exploring and understanding the impact of machine learning choices on radiotherapy decision making / Böröndy, A. (2023). Exploring and understanding the impact of machine learning choices on radiotherapy decision making [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.91282
• Statistical methodologies for assessing an artificial intelligence (AI) software in a diagnostic setting / Chung, T. S. (2022). Statistical methodologies for assessing an artificial intelligence (AI) software in a diagnostic setting [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.89767
• Predicting and communicating outcome of COVID-19 hospitalizations with medical images and clinical data / Stritzel, O. (2022). Predicting and communicating outcome of COVID-19 hospitalizations with medical images and clinical data [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.97880
• Multi-faceted visual analysis of inter-observer variability / Bayat, H. C. (2022). Multi-faceted visual analysis of inter-observer variability [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.105180
• Prediction of Accelerated Knee Osteoarthritis Using a Convolutional Neural Network / Vogel, M. (2022). Prediction of Accelerated Knee Osteoarthritis Using a Convolutional Neural Network [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/158486
• Vologram : handgemachte Volumsphysikalisierungen für die Ausbildung : educational craftworks for volume physicalization / Pahr, D. (2021). Vologram : handgemachte Volumsphysikalisierungen für die Ausbildung : educational craftworks for volume physicalization [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.79540
• Visual analytics for the exploration of cultural models / Chini Foroushan, P. (2021). Visual analytics for the exploration of cultural models [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.72580
• Development and visual assessment of a cross-modal Brain tumor segmentation pipeline / Magg, C. (2021). Development and visual assessment of a cross-modal Brain tumor segmentation pipeline [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.92822
• Fantastic voyage: an augmented reality approach to anatomical education for the general public / Schrempf, M. T. (2020). Fantastic voyage: an augmented reality approach to anatomical education for the general public [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.57122
• Interactive reformation of fetal ultrasound data to a T-position / Mörth, E. (2019). Interactive reformation of fetal ultrasound data to a T-position [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.55543
• Pelvis Runner : comparative visualization of anatomical changes / Grossmann, N. (2019). Pelvis Runner : comparative visualization of anatomical changes [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.58228
• Vergleichende visuelle Analyse in einer Kohorte von Brustkrebspatienten / Karall, N. (2018). Vergleichende visuelle Analyse in einer Kohorte von Brustkrebspatienten [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.48919
• Komparative Visualisierung von Segmentierungen der Beckenorgane / Reiter, O. (2018). Komparative Visualisierung von Segmentierungen der Beckenorgane [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.45941
• Vier Texturalgorithmen: Bestimmung erster Anzeichen von Osteoarthrose. Daten von Multicenter Osteoarthritis study / Oancea, S. O. (2018). Vier Texturalgorithmen: Bestimmung erster Anzeichen von Osteoarthrose. Daten von Multicenter Osteoarthritis study [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.47302

• EuroVis Young Researcher Award
  2022 / EuroGraphics European Association for Computer Graphics / Italy
• 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 .