Renata Georgia Raidou

Assistant Prof. Dr.in

About

I am Assistant Professor (Tenure Track) in Medical 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

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

Contact

Courses

2023W

Bachelor Thesis for Computer Science and Business Informatics / 186.829 / PR
Exclusive Turorial for PhDs (method seminar) / 186.070 / PV
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
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

2024S

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 / 193.025 / PR
Project in Visual Computing 1 / 193.023 / PR
Project in Visual Computing 2 / 193.024 / 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
Seminar on medical informatics / 186.848 / SE
Visualization of Medical Data 2 / 186.138 / VU

Publications

2024

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

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
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
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
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.

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

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
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
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
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
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)
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
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
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
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

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 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
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

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

Supervisions

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
Download: PDF (5.31 MB)
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
Download: PDF (4.62 MB)
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
Download: PDF (4.6 MB)
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
Download: PDF (6.31 MB)
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
Download: PDF (1.92 MB)
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
Download: PDF (10.1 MB)
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
Download: PDF (6.3 MB)
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
Download: PDF (4.17 MB)
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
Download: PDF (8.82 MB)
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
Download: PDF (14.1 MB)
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
Download: PDF (17.7 MB)
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
Download: PDF (13.6 MB)
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
Download: PDF (19.6 MB)
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
Download: PDF (9.38 MB)

Awards

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

And more…

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 .

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