2024W

• Bachelor Thesis for Computer Science and Business Informatics / 186.829 / PR
• Methods for Data Generation and Analytics in Medicine and Life Sciences / 193.026 / VU
• Project in Medical Informatics / 193.025 / PR
• Project in Visual Computing 1 / 193.023 / PR
• Project in Visual Computing 2 / 193.024 / PR
• Realtime Visualization / 186.191 / VU
• Research seminar for PhD students (method seminar) / 193.156 / SE
• Scientific Publishing 1 / 186.185 / 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 Visualization / 186.046 / SE
• Seminar on medical informatics / 186.848 / SE

2025S

• Project in Medical Informatics / 193.025 / PR
• Project in Visual Computing 1 / 193.023 / PR
• Project in Visual Computing 2 / 193.024 / PR

• Health virtual twins for the personalised management of stroke related to atrial fibrillation
  2024 – 2028 / European Commission
  Publications: 205805 / 205430 / 205728

2024

• Me! Me! Me! Me! A study and comparison of ego network representations / Ehlers, H., Pahr, D., Filipov, V., Wu, H.-Y., & Raidou, R. G. (2024). Me! Me! Me! Me! A study and comparison of ego network representations. COMPUTERS & GRAPHICS-UK, 125, 1–15. https://doi.org/10.1016/j.cag.2024.104123
  Download: PDF (2.36 MB)
• BioMedical Visualization : Past Work, Current Trends, and Open Challenges / Furmanová, K., Kozlíková, B., Höllt, T., Gröller, M. E., Preim, B., & Raidou, R. G. (2024). BioMedical Visualization : Past Work, Current Trends, and Open Challenges. Springer Nature. https://doi.org/10.1007/978-3-031-66789-3
• Visual narratives to edutain against misleading visualizations in healthcare / Shilo, A., & Raidou, R. G. (2024). Visual narratives to edutain against misleading visualizations in healthcare. COMPUTERS & GRAPHICS-UK, 123, Article 104011. https://doi.org/10.1016/j.cag.2024.104011
• Investigating the Effect of Operation Mode and Manifestation on Physicalizations of Dynamic Processes / Pahr, D., Ehlers, H., Wu, H., Waldner, M., & Raidou, R. G. (2024). Investigating the Effect of Operation Mode and Manifestation on Physicalizations of Dynamic Processes. Computer Graphics Forum, 43(3), Article e15106. https://doi.org/10.1111/cgf.15106
• Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs / Kovacs, A. S., Hermosilla Casajus, P., & Raidou, R. G. (2024). Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs. Computer Graphics Forum, 43(2), Article e15016. https://doi.org/10.1111/cgf.15016
• Visualizing Group Structure in Compound Graphs: The Current State, Lessons Learned, and Outstanding Opportunities / Ehlers, H., Marin, D., Wu, H.-Y., & Raidou, R. (2024). Visualizing Group Structure in Compound Graphs: The Current State, Lessons Learned, and Outstanding Opportunities. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1, HUCAPP and IVAPP (pp. 697–708). https://doi.org/10.5220/0012431200003660
• ConAn: Measuring and Evaluating User Confidence in Visual Data Analysis Under Uncertainty / Musleh, M., Ceneda, D., Ehlers, H., & Raidou, R. G. (2024). ConAn: Measuring and Evaluating User Confidence in Visual Data Analysis Under Uncertainty. Computer Graphics Forum. https://doi.org/10.1111/cgf.15272
• G-Style: Stylized Gaussian Splatting / Kovács, Á. S., Hermosilla, P., & Raidou, R. G. (2024). G-Style: Stylized Gaussian Splatting. Computer Graphics Forum, 43(7), Article e15259. https://doi.org/10.1111/cgf.15259
• Exploring Drusen Type and Appearance using Interpretable GANs / Muth, C., Morelle, O., Raidou, R. G., Wintergerst, M. W. M., Finger, R. P., & Schultz, T. (2024). Exploring Drusen Type and Appearance using Interpretable GANs. In VCBM 2024: Eurographics Workshop on Visual Computing for Biology and Medicine. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM 2024), Germany. https://doi.org/10.2312/vcbm.20241187
• Knowledge maps as a complementary tool to learn and teach surgical anatomy in virtual reality: A case study in dental implantology / Lúcio, I., Faria, B., Raidou, R. G., Proença, L., Zagalo, C., Mendes, J. J., Rodrigues, P., & Lopes, D. S. (2024). Knowledge maps as a complementary tool to learn and teach surgical anatomy in virtual reality: A case study in dental implantology. In Healthcare Technology Letters. 27th International Conference on Medical Image Computing and Computer Assisted Invertention (MICCAI 2024), Morocco. https://doi.org/10.1049/htl2.12094
• Show Me the GIFference! Using data-GIFs as Educational Tools / Amabili, L., Gröller, M. E., & Raidou, R. G. (2024). Show Me the GIFference! Using data-GIFs as Educational Tools. In V. Skala (Ed.), Computer Science Research Notes: CSRN 3401: WSCG 2024: Proceedings (pp. 57–66). https://doi.org/10.24132/CSRN.3401.7
• A Workflow to Visually Assess Interobserver Variability in Medical Image Segmentation / Bayat, H. C., Waldner, M., & Raidou, R. G. (2024). A Workflow to Visually Assess Interobserver Variability in Medical Image Segmentation. IEEE Computer Graphics and Applications, 44(1), 86–94. https://doi.org/10.1109/MCG.2023.3333475

2023

• Improving readability of static, straight-line graph drawings: A first look at edge crossing resolution through iterative vertex splitting / Ehlers, H., Villedieu, A., Raidou, R. G., & Wu, H.-Y. (2023). Improving readability of static, straight-line graph drawings: A first look at edge crossing resolution through iterative vertex splitting. COMPUTERS & GRAPHICS-UK, 116, 448–463. https://doi.org/10.1016/j.cag.2023.09.010
• Visual Analytics for the Integrated Exploration and Sensemaking of Cancer Cohort Radiogenomics and Clinical Information / El-Sherbiny, S., Ning, J., Hantusch, B., Kenner, L., & Raidou, R. G. (2023). Visual Analytics for the Integrated Exploration and Sensemaking of Cancer Cohort Radiogenomics and Clinical Information. In VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine (pp. 121–133). The Eurographics Association. https://doi.org/10.2312/vcbm.20231220
• Smoke Surfaces of 4D Biological Dynamical Systems / Schindler, M., Amirkhanov, A., & Raidou, R. G. (2023). Smoke Surfaces of 4D Biological Dynamical Systems. In T. Höllt & D. Jönsson (Eds.), VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine (pp. 93–97). The Eurographics Association. https://doi.org/10.2312/vcbm.20231217
• 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
• Visualization, Visual Analytics and Virtual Reality in Medicine : State-Of-the-art Techniques and Applications / Preim, B., Raidou, R. G., Smit, N., & Lawonn, K. (2023). Visualization, Visual Analytics and Virtual Reality in Medicine : State-Of-the-art Techniques and Applications. Academic Press Elsevier. http://hdl.handle.net/20.500.12708/192952

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
  Download: PDF (1.37 MB)
• 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
  Download: PDF (5.73 MB)
• 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
  Download: PDF (44 MB)
• 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
  Download: PDF (4.99 MB)

2021

• 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
• 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
• 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
• 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
• 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

• State-of-the-Art Report: Visual Computing in Radiation Therapy Planning / Schlachter, M., Raidou, R., Muren, L. P., Preim, B., Putora, P. M., & 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
• 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
• 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
• 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 (2016–2019)
• 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
• Pelvis Runner: Visualizing Pelvic Organ Variability in a Cohort of Radiotherapy Patients / Grossmann, N., Casares-Magaz, O., Muren, L. P., Moiseenko, V., Einck, J., Gröller, E., & Raidou, R. (2019). Pelvis Runner: Visualizing Pelvic Organ Variability in a Cohort of Radiotherapy Patients. In B. Kozlikova, L. Linsen, P.-P. Vázquez, K. Lawonn, & R. G. Raidou (Eds.), 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
• 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

• Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data / Bögl, M., Bors, C., Gschwandtner, T., & Miksch, S. (2018). Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data. In A. Puig & R. Raidou (Eds.), EuroVis 2018 - Posters (pp. 45–47). The Eurographics Association. https://doi.org/10.2312/eurp.20181126
  Project: VISSECT (2016–2020)
• Network Analysis for Financial Fraud Detection / Almeida Leite, R., Gschwandtner, T., Miksch, S., Gstrein, E., & Kuntner, J. (2018). Network Analysis for Financial Fraud Detection. In A. Puig & R. Raidou (Eds.), Proceedings of Eurographics Conference on Visualization (EuroVis 2018) (p. 3). Eurographics / VGTC. https://doi.org/10.2312/eurp.20181120
• CV3: Visual Exploration, Assessment, and Comparison of CVs / Filipov, V., Federico, P., & Miksch, S. (2018). CV3: Visual Exploration, Assessment, and Comparison of CVs. In A. Puig & R. Raidou (Eds.), EuroVis 2018 - Posters (p. 3). Eurographics / VGTC. https://doi.org/10.2312/eurp.20181115
  Project: IMMV (2017–2020)
• Visually Exploring Data Provenance and Quality of Open Data / Bors, C., Gschwandtner, T., & Miksch, S. (2018). Visually Exploring Data Provenance and Quality of Open Data. In A. Puig & R. Raidou (Eds.), EuroVis 2018 - Posters (pp. 9–11). The Eurographics Association. https://doi.org/10.2312/eurp.20181117
• 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
• 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 A. Puig, T. Schultz, A. Vilanova, I. Hotz, B. Kozlikova, & P.-P. Vázquez (Eds.), Eurographics Proceedings. Eurographics. https://doi.org/10.2312/vcbm.20181242
• 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 K. Lawonn, N. N. Smit, L. Linsen, & R. Kosara (Eds.), 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
• 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
• 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

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 S. Bruckner & T. Ropinski (Eds.), EG 2017 - Dirk Bartz Prize. Eurographics. https://doi.org/10.2312/egm.20171042

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

• 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
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• Visual narratives against misleading visualizations in health care / Shilo, A. (2023). Visual narratives against misleading visualizations in health care [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.112160
  Download: PDF (7.84 MB)
• 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
  Download: PDF (4.6 MB)
• 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
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• 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
• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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 .