My Publications

2023

Ehlers, H. , Villedieu, A., Raidou, R.G., and Wu, H.Y., 2023. Improving readability of static, straight-line graph drawings: A first look at edge crossing resolution through iterative vertex splitting. Computers and Graphics, 116: 448-463; 2023.  

 

Schindler, M., Amirkhanov, A. and Raidou, R.G., 2023. Smoke Surfaces of 4D Biological Dynamical Systems. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2023). pp.93-97; 2023. (Best Short Paper Award)  

 

  

El-Sherbiny, S., Ning, J., Hantusch, B., Kenner, L., and Raidou, R.G., 2023. Visual Analytics for the Integrated Exploration and Sensemaking of Cancer Cohort Radiogenomics and Clinical Information. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2023). pp.121-133; 2023.  

 


Preim, B., Raidou, R.G., Smit, N.N., Lawonn, K., 2023. Visualization, Visual Analytics and Virtual Reality in Medicine. The MICCAI Society Book Series, 1st Edition. Paperback ISBN: 9780128229620. 

 

Musleh, M., Muren,L.P., Toussaint, L., Vestergaard, A., Gröller, M.E., and Raidou, R.G, 2023. Uncertainty Guidance in Proton Therapy Planning Visualization. Computers and Graphics, 111:166-179; 2023. 

 

2022

Schindler, M., Korpitsch, T. Raidou, R.G., and Wu, H.-Y., 2022. Nested Papercrafts for Anatomical and Biological Edutainment. Computer Graphics Forum, 41:1-13, June 2022.

 

Böröndy, Á., Furmanová, K., and Raidou, R.G., 2022. Understanding the impact of statistical and machine learning choices on predictive models for radiotherapy. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2022). pp.65-69; 2022.

 

Stritzel, O. and Raidou, R.G., 2022. Predicting, Analyzing and Communicating Outcomes of COVID-19 Hospitalizations with Medical Images and Clinical Data. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2022). pp.129-133; 2022.

 

Magg, C. and Raidou, R.G., 2022. Visual Analytics to Assess Deep Learning Models for Cross-Modal Brain Tumor Segmentation. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2022). pp.111-115; 2022.

 

Ortega-Martorell, S., Riley, P., Olier, I., Raidou, R.G., Casana-Eslava, R., Rea, M., Shen, L., Lisboa, P.J., and Palmieri, C., 2022. Breast cancer patient characterisation and visualisation using deep learning and fisher information networks. Scientific Reports, 12(1), pp.1-14. 

2021

Amabili, L., Gupta, K., and Raidou, R.G., 2021. A Taxonomy-Driven Model for Designing Educational Games in Visualization. IEEE Computer Graphics and Applications, 41(6), pp.71-79; 2021.

Magg, C., Toussaint, L., Muren, L.P., Indelicato, D., and Raidou, R.G., 2021. Visual Assessment of Growth Prediction in Brain Structures after Pediatric Radiotherapy. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2021). pp.31-35; 2021.

Pahr, D., Wu, H.Y., and Raidou, R.G., 2021. Vologram: An Educational Holographic Sculpture for Volumetric Medical Data Physicalization. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2021). pp.19-23; 2021.  

Furmanova, K., Muren, L.P., Casares-Magaz, O., Moiseenko, V., Einck, J.P., Pilskog, S., and Raidou, R.G., 2021. PREVIS: Predictive visual analytics of anatomical variability for radiotherapy decision support. Computers and Graphics (Special Section on Visual Computing in Biology and Medicine), vol. 97: 126-138; 2021.

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., and Gröller, M.E., 2021. Visualization working group at TU Wien: Visible Facimus Quod Ceteri Non Possunt. Visual Informatics, 5:76-84; 2021.

2020

Raidou, R.G., Wu, H.-Y., and Gröller, M.E., 2020. Slice and Dice: A Physicalization Workflow for Anatomical Edutainment. Computer Graphics Forum, 39(7):623-634, 2020.

 

Schindler, M., Wu, H.-Y., and Raidou, R.G., 2020. The Anatomical Edutainer. To Appear in Proceedings of IEEE Vis 2020 (Best Short Paper).

Furmanova, K., Grossmann, N., Muren, L.P., Casares-Magaz, O., Moiseenko, V., Einck, J.P., Gröller, M.E., and Raidou, R.G., 2020. VAPOR: Visual Analytics for the Exploration of Pelvic Organ Variability in Radiotherapy. Computers and Graphics (Special Section on Visual Computing in Biology and Medicine), vol. 91: 25-38; 2020.  

Raidou R.G., Furmanová, K., Grossmann, N., Casares-Magaz, O., Moiseenko, V., Einck, J.P., Gröller, M.E., and Muren, L.P., 2020. Lessons Learnt from Developing Visual Analytics Applications for Adaptive Prostate Cancer Radiotherapy. In Proceedings of The Gap between Visualization Research and Visualization Software (VisGap): 51-58, 2020.  

Orémuš, Z., Hassan, K.A., Chmelík, J., Kňažková, M., Byška, J., Raidou, R.G., and Kozlíková, B., 2020. PINGU: Principles of Interactive Navigation for Geospatial Understanding. In Proceedings of 2020 IEEE Pacific Visualization Symposium (PacificVis), pp. 216-225, 2020.  

Raidou R.G., Kozlikova, B., Beyer, J., Ropinski, T., and Fujishiro, I., 2020. NII Shonan Meeting Report No. 167: Formalizing Biological and Medical Visualization. ISSN 2186-7437, 2020.

Schlachter, M., Preim, B., Bühler, K., and Raidou, R.G., 2020. Principles of Visualization in Radiation Oncology. Oncology; 98(6) : 83–93, 2020.

2019

Amirkhanov, A., Kosiuk, I., Szmolyan, P., Amirkhanov, A., Mistelbauer, G., Groller, M.E., and Raidou, R.G., 2019. ManyLands: A Journey Across 4D Phase Space of Trajectories. Computer Graphics Forum, 38(7):191-202, 2019. 

Grossmann, N., Casares-Magaz, O., Muren, L.P., Moiseenko, V., Einck, J.P., Gröller, M.E., and Raidou R.G., 2019. Pelvis Runner: A Visual Analytics Tool for Pelvic Organ Variability Exploration in Prostate Cancer Cohorts. In 2019 IEEE Conference on Visual Analytics Science and Technology (VAST), 2019.

Mörth, E., Raidou, R.G., Viola, I., and Smit, N.N., 2019. The Vitruvian Baby: Interactive Reformation of Fetal Ultrasound Data to a T-Position. Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM), pp.201-205, 2019.

Bernold, G., Matkovic, K., Gröller, M.E., and Raidou, R.G., 2019. preha: Establishing Precision Rehabilitation with Visual Analytics. Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM), pp.79-89, 2019.

Grossmann, N., Casares-Magaz, O., Muren, L.P., Moiseenko, V., Einck, J.P., Gröller, M.E., and Raidou R.G., 2019. Pelvis Runner: Visualizing Pelvic Organ Variability in a Cohort of Radiotherapy Patients. Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM), pp.69-78, 2019.

Schlachter, M., Raidou, R.G., Muren, L.P., Preim, B., Putora, P.M., and Bühler, K. 2019. State-of-the-Art Report: Visual Computing in Radiation Therapy Planning. Computer Graphics Forum, 38(3):753-779, 2019.  

Raidou, R.G., Gröller, M.E., and Eisemann, M., 2019. Relaxing Dense Scatter Plots with Pixel-Based Mappings. IEEE Transactions on Visualization and Computer Graphics, 25(6), pp.2205-2216, 2019.

Magaz, O.C., Raidou, R.G., Pettersson, N.J., Moiseenko, V., Einck, J., Hopper, A., Knopp, R., and Muren, L.P., 2019. PO-0962 Bladder changes during first week of RT for prostate cancer determine the risk of urinary toxicity. Radiotherapy and Oncology, 133, pp.S522-S523, 2019.

Raidou, R.G., 2019. Visual Analytics for the Representation, Exploration and Analysis of High-Dimensional, Multi-Faceted Medical Data. Chapter in Biomedical Visualisation, Volume 2, Chapter 10, Paul Rea (ed.), Springer, 2019.

2018

Grossmann, N., Köppel, T., Gröller, M.E., and Raidou, R.G., 2018. VisualFlatter – Visual Analysis of Distortions in the Projection of Biomedical Structures. Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM), pp.167-177, 2018.

Karall, N., Gröller, M.E., and Raidou, R.G., 2018. ChemoExplorer: A Dashboard for the Visual Analysis of Chemotherapy Response in Breast Cancer Patients. EuroVis 2018 – Short Papers, EG Digital Library, pg. 49–53, 2018.

Raidou, R.G., Casares-Magaz, O., Amirkhanov, A., Moiseenko, V., Muren, L.P., Einck, J.P., Vilanova, A., and Gröller, M.E., 2018. Bladder Runner: Visual Analytics for the Exploration of RT-Induced Bladder Toxicity in a Cohort Study. Computer Graphics Forum, 37(3):205-216, 2018.

Reiter, O., Breeuwer, M., Gröller, M.E., and Raidou, R.G., 2018. Comparative Visual Analysis of Pelvic Organ Segmentations. EuroVis 2018 – Short Papers (Honorable Mention), EG Digital Library, pg. 37–41, 2018.

Raidou, R.G., 2018. Uncertainty Visualization: Recent Developments and Future Challenges in Prostate Cancer Radiotherapy Planning. EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3), 2018.  

Casares-Magaz, O., Raidou, R.G., Rørvik, J., Vilanova, A., and Muren, L.P., 2018. Uncertainty Evaluation of Image-Based Tumour Control Probability Models in Radiotherapy of Prostate Cancer Using a Visual Analytics Tool. Journal of Physics and Imaging in Radiation Oncology (phiRO), 5 (2018): 5-8.

2017

Raidou, R.G., Breeuwer, M., and Vilanova, A., 2017. Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline. Eurographics 2017—Dirk Bartz Prize, pg. 1–4, 2017.  

Raidou, R.G., 2017. Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline. PhD Dissertation Book, Eindhoven University of Technology. ISBN 978-90-386-4230-7.

2016

Raidou, R.G., Kuijf, H.J., Sepasian, N., Pezzotti, N., Bouvy, W.H., Breeuwer, M., and Vilanova, A., 2016. Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers. In Medical Image Computing and Computer-Assisted Intervention—MICCAI 2016. Lecture Notes in Computer Science, vol. 9901, pp. 97–105. Springer, Cham., 2016.

Raidou, R.G., Marcelis, F.J.J., Breeuwer, M., Gröller, M.E., Vilanova, A., and van de Wetering, H.M.M., 2016. Visual Analytics for the Exploration and Assessment of Segmentation Errors. Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM), pp.193-202, 2016.

Malan, D.F., van der Walt, S.J., Raidou, R.G., van den Berg, B., Stoel, B.C., Botha, C.P., Nelissen, R.G. and Valstar, E.R., 2016. A Fluoroscopy-Based Planning and Guidance Software Tool for Minimally Invasive Hip Refixation by Cement Injection. International journal of computer assisted radiology and surgery, 11(2), pp.281-296, 2016.

Raidou, R.G., Casares-Magaz, O., Muren, L.P., van der Heide, U.A., Rørvik, J., Breeuwer, M. and Vilanova, A., 2016. Visual Analysis of Tumor Control Models for Prediction of Radiotherapy Response. Computer Graphics Forum, 35(3):231-240, 2016.

2015

Raidou, R.G., Van Der Heide, U.A., Dinh, C.V., Ghobadi, G., Kallehauge, J.F., Breeuwer, M. and Vilanova, A., 2015. Visual Analytics for the Exploration of Tumor Tissue Characterization. Computer Graphics Forum, 34(3):11-20, 2015.

Raidou, R.G., Moreira, M.P., van Elmpt, W., Breeuwer, M. and Vilanova, A., 2014. Visual Analytics for the Exploration of Multiparametric Cancer Imaging. In 2014 IEEE Conference on Visual Analytics Science and Technology (VAST).  

Raidou, R.G., Eisemann, M., Breeuwer, M., Eisemann, E. and Vilanova, A., 2016. Orientation-Enhanced Parallel Coordinate Plots. IEEE Transactions on Visualization and Computer Graphics, 22(1), pp.589-598, 2015. 

2014

Raidou, R.G., van der Heide, U.A., van Houdt, P.J., Breeuwer, M., Vilanova, A., 2014. The iCoCooN: Integration of Cobweb Charts with Parallel Coordinates for Visual Analysis of DCE-MRI Modeling Variations. Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM), pp. 11-20, 2014. 

 

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