Squishicalization: Exploring Elastic Volume Physicalization
Pahr, D., Piovarči, M., Wu, H., and Raidou, R.G. , IEEE Transactions on Visualization and Computer Graphics (Preprint, p.1--14), 2024, DOI: 10.1109/TVCG.2024.3516481
ConAn: Measuring and Evaluating User Confidence in Visual Data Analysis Under Uncertainty
Musleh, M., Ehlers, H., Ceneda, D., and Raidou, R.G., CGF e15272, 2024, DOI: 10.1111/cgf.15272
BioMedical Visualization — Past Work, Current Trends, and Open Challenges
Furmanová, K., Kozlíková, B., Höllt, T., Gröller, M.E., Preim, B., Raidou, R.G., Synthesis Lectures on Visualization, Springer Nature. ISBN-13: 978-3-031-66788-6, 2024, DOI: 10.1007/978-3-031-66789-3
☆ (BOOK)
Me! Me! Me! Me! A study and comparison of ego network representations
Ehlers, H., Pahr, D., Filipov, V., Wu, H.-Y., Raidou, R.G., Computers & Graphics, Vol.125, 104123, 2024, DOI: 10.1016/j.cag.2024.104123
G -Style: Stylized Gaussian Splatting
Kovács, Á.S., Hermosilla, P., and Raidou, R.G., In Computer Graphics Forum (CGF, Vol. 43, No. 7, e15259), 2024, DOI: 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., and Schultz, T., Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM 2024), 2024, DOI: 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.M., de Faria B.G., Raidou R.G., Proença L., Zagalo C., Mendes J.J., Rodrigues P., Lopes D.S., Healthcare Technology Letters (MICCAI 2024), 2024, DOI: 10.1049/htl2.12094
Your Face, Your Anatomy: Flashcard Lenses Enriched with Knowledge Maps for Anatomy Education
Lúcio, I.M., Raidou, R.G., Rodrigues, P., Lopes, D.S., IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Pages: 495-504, 2024, DOI: 10.1109/ISMAR62088.2024.00064
Visual narratives to edutain against misleading visualizations in healthcare
Shilo, A. and Raidou, R.G., Computers & Graphics, 123, p.104011, 2024, DOI: 10.1016/j.cag.2024.104011
Show Me the GIFference! Using data-GIFs as Educational Tools
Amabili, L., Gröller, M.E., and Raidou, R.G. , In Journal of WSCG (WSCG 2024 Proceedings), Computer Science Research Notes, 2024, DOI: 10.24132/CSRN.3401.7
Advancing Visual Computing in Materials Science
Heinzl, C., Raidou, R.G., Potter, K., Takeshima, Y., Kirby, M. and Requena, G., Shonan Seminar 189, 2024, DOI: https://arxiv.org/abs/2407.03355
Visualization of relationships between precipitation and river water levels
Tanaka, Y., Grammatikaki, A., Ehlers, H., Raidou, R.G., Gröller, E., Itoh, T., IEEE --- 28th International Conference Information Visualisation (IV), 2024, DOI: 10.1109/IV64223.2024.00020
Investigating the Effect of Operation Mode and Manifestation on Physicalizations of Dynamic Processes
Pahr, D., Ehlers, H., Wu, H.-Y., Waldner, M., and Raidou, R.G., In Computer Graphics Forum (Vol. 43, No. 3, p. e15106), 2023, DOI: 10.1111/cgf.15106
Visualizing Group Structure in Compound Graphs: The Current State, Lessons Learned, and Outstanding Opportunities
Ehlers, H., Marin, D., Wu, H.Y., and Raidou, R.G., In Proceedings of IVAPP 2024 (pp. 697-708), 2024, DOI: 10.5220/0012431200003660
Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs
Kovács, Á.S., Hermosilla, P., and Raidou, R.G., In Computer Graphics Forum (Vol. 43, No. 2, p. e15016), 2024, DOI: 10.1111/cgf.15016
A Workflow to Visually Assess Interobserver Variability in Medical Image Segmentation
Bayat, H.C., Waldner, M., and Raidou, R.G., IEEE Computer Graphics and Applications, 44(1), pp.86-94, 2023, DOI: 10.1109/MCG.2023.3333475
Assessing the impact of shape descriptors and clustering on predicting RT pelvic organ variability
Böröndy, A., Furmanova, K., Casares-Magaz, O., Moiseenko, V., Einck, J.P., and Raidou, R.G. , Radiotherapy and Oncology, Volume 194, S4540 - S4541. Poster Abstract with Discussion (PD-2507) at ESTRO 2024, 2024, DOI: 10.1016/S0167-8140(24)02698-7
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., and Wu, H.Y., Computers and Graphics, 116: 448-463, 2023, DOI: 10.1016/j.cag.2023.09.010
Smoke Surfaces of 4D Biological Dynamical Systems
Schindler, M., Amirkhanov, A. and Raidou, R.G., Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2023). pp.93-97, 2023, DOI: 10.2312/vcbm20231217
☆ Best Short Paper Award at EG VCBM 2023
Visual Analytics for the Integrated Exploration and Sensemaking of Cancer Cohort Radiogenomics and Clinical Information
El-Sherbiny, S., Ning, J., Hantusch, B., Kenner, L., and Raidou, R.G., Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2023). pp.121-133, 2023, DOI: 10.2312/vcbm20231220
Visualization, Visual Analytics and Virtual Reality in Medicine
Preim, B., Raidou, R.G., Smit, N.N., Lawonn, K., The MICCAI Society Book Series, 1st Edition. Paperback ISBN: 9780128229620, 2022
☆ (Book)
Uncertainty Guidance in Proton Therapy Planning Visualization
Musleh, M., Muren, L.P., Toussaint, L., Vestergaard, A., Gröller, M.E., and Raidou, R.G., Computers and Graphics, 111:166-179, 2023, DOI: 10.1016/j.cag.2023.02.002
Segmentation of Retinal Blood Vessels Using Growing GANs
Muth, C., Bront, M.C., and Raidou, R.G., Eurographics Workshop on Visual Computing for Biology and Medicine, Digital Library EG, 2023
Nested Papercrafts for Anatomical and Biological Edutainment
Schindler, M., Korpitsch, T. Raidou, R.G., and Wu, H.-Y., Computer Graphics Forum, 41:1-13, 2022, DOI: 10.1111/cgf.14561
Understanding the impact of statistical and machine learning choices on predictive models for radiotherapy
Böröndy, Á., Furmanová, K., and Raidou, R.G., Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2022); pp.65-69, 2022, DOI: 10.2312/vcbm.20221188
Predicting, Analyzing and Communicating Outcomes of COVID-19 Hospitalizations with Medical Images and Clinical Data
Stritzel, O. and Raidou, R.G., Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2022); pp.129-133, 2022, DOI: 10.2312/vcbm.20221196
Visual Analytics to Assess Deep Learning Models for Cross-Modal Brain Tumor Segmentation
Magg, C. and Raidou, R.G., Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2022); pp.111-115, 2022, DOI: 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., and Palmieri, C., Scientific Reports Volume 12, Article number: 14004 , 2022, DOI: 10.1038/s41598-022-17894-6
A Taxonomy-Driven Model for Designing Educational Games in Visualization
Amabili, L., Gupta, K., and Raidou, R.G., IEEE Computer Graphics and Applications, 41(6), pp.71-79, 2021, DOI: 10.1109/MCG.2021.3115446
Visual Assessment of Growth Prediction in Brain Structures after Pediatric Radiotherapy
Magg, C., Toussaint, L., Muren, L.P., Indelicato, D., and Raidou, R.G., Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2021); pp.31-35, 2021, DOI: 10.2312/vcbm.20211343
Vologram: An Educational Holographic Sculpture for Volumetric Medical Data Physicalization
Pahr, D., Wu, H.Y., and Raidou, R.G., Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2021); pp.19-23, 2021, DOI: 10.2312/vcbm.20211341
PREVIS: Predictive visual analytics of anatomical variability for radiotherapy decision support
Furmanova, K., Muren, L.P., Casares-Magaz, O., Moiseenko, V., Einck, J.P., Pilskog, S., and Raidou, R.G., Computers and Graphics (Special Section on Visual Computing in Biology and Medicine), vol. 97: 126-138, 2021, DOI: 10.1016/j.cag.2021.04.010
Visualization working group at TU Wien: Visible 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., and Gröller, M.E., Visual Informatics, 5:76-84, 2021, DOI: 10.1016/j.visinf.2021.02.003
Slice and Dice: A Physicalization Workflow for Anatomical Edutainment
Raidou, R.G., Wu, H.-Y., and Gröller, M.E., Computer Graphics Forum, 39(7):623-634, 2020, DOI: 10.1111/cgf.14173
The Anatomical Edutainer
Schindler, M., Wu, H.-Y., and Raidou, R.G., In 2020 IEEE Visualization Conference (VIS), 2020, DOI: 10.1109/VIS47514.2020.00007
☆ Best Short Paper Award at IEEE Vis 2020
VAPOR: Visual Analytics for the Exploration of Pelvic Organ Variability in Radiotherapy
Furmanova, K., Grossmann, N., Muren, L.P., Casares-Magaz, O., Moiseenko, V., Einck, J.P., Gröller, M.E., and Raidou, R.G., Computers and Graphics (Special Section on Visual Computing in Biology and Medicine), vol. 91: 25-38, 2020, DOI: 10.1016/j.cag.2020.07.001
Lessons Learnt from Developing Visual Analytics Applications for Adaptive Prostate Cancer Radiotherapy
Raidou R.G., Furmanová, K., Grossmann, N., Casares-Magaz, O., Moiseenko, V., Einck, J.P., Gröller, M.E., and Muren, L.P., In Proceedings of The Gap between Visualization Research and Visualization Software (VisGap): 51-58, 2020, DOI: 10.2312/visgap.20201110
PINGU: Principles of Interactive Navigation for Geospatial Understanding
Orémuš, Z., Hassan, K.A., Chmelík, J., Kňažková, M., Byška, J., Raidou, R.G., and Kozlíková, B., In Proceedings of 2020 IEEE Pacific Visualization Symposium (PacificVis), pp. 216-225, 2020, DOI: 10.1109/PacificVis48177.2020.7567
NII Shonan Meeting Report No. 167: Formalizing Biological and Medical Visualization
Raidou R.G., Kozlikova, B., Beyer, J., Ropinski, T., and Fujishiro, I., ISSN 2186-7437, 2020
Principles of Visualization in Radiation Oncology
Schlachter, M., Preim, B., Bühler, K., and Raidou, R.G., Oncology; 98(6) : 83–93, 2020, DOI: 10.1159/000504940
ManyLands: A Journey Across 4D Phase Space of Trajectories
Amirkhanov, A., Kosiuk, I., Szmolyan, P., Amirkhanov, A., Mistelbauer, G., Groller, M.E., and Raidou, R.G., Computer Graphics Forum, 38(7):191-202, 2019, DOI: 10.1111/cgf.13828
Pelvis Runner: A Visual Analytics Tool for Pelvic Organ Variability Exploration in Prostate Cancer Cohorts
Grossmann, N., Casares-Magaz, O., Muren, L.P., Moiseenko, V., Einck, J.P., Gröller, M.E., and Raidou R.G., In 2019 IEEE Conference on Visual Analytics Science and Technology (VAST), 2019
The Vitruvian Baby: Interactive Reformation of Fetal Ultrasound Data to a T-Position
Mörth, E., Raidou, R.G., Viola, I., and Smit, N.N., Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM), pp.201-205, 2019, DOI: 10.2312/vcbm.20191245
preha: Establishing Precision Rehabilitation with Visual Analytics
Bernold, G., Matkovic, K., Gröller, M.E., and Raidou, R.G., Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM), pp.79-89, 2019, DOI: 10.2312/vcbm.20191234
Pelvis Runner: Visualizing Pelvic Organ Variability in a Cohort of Radiotherapy Patients
Grossmann, N., Casares-Magaz, O., Muren, L.P., Moiseenko, V., Einck, J.P., Gröller, M.E., and Raidou R.G., Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM), pp.69-78, 2018, DOI: 10.2312/vcbm.20191233
State-of-the-Art Report: Visual Computing in Radiation Therapy Planning
Schlachter, M., Raidou, R.G., Muren, L.P., Preim, B., Putora, P.M., and Bühler, K., Computer Graphics Forum, 38(3):753-779, 2019, DOI: 10.1111/cgf.13726
Relaxing Dense Scatter Plots with Pixel-Based Mappings
Raidou, R.G., Gröller, M.E., and Eisemann, M., IEEE Transactions on Visualization and Computer Graphics, 25(6), pp.2205-2216, 2019, DOI: 10.1109/TVCG.2019.2903956
PO-0962 Bladder changes during first week of RT for prostate cancer determine the risk of urinary toxicity
Magaz, O.C., Raidou, R.G., Pettersson, N.J., Moiseenko, V., Einck, J., Hopper, A., Knopp, R., and Muren, L.P., Radiotherapy and Oncology, 133, pp.S522-S523, 2019, DOI: 10.1016/S0167-8140(19)31382-9
Visual Analytics for the Representation, Exploration and Analysis of High-Dimensional, Multi-Faceted Medical Data
Raidou, R.G., Chapter in Biomedical Visualisation, Volume 2, Chapter 10, Paul Rea (ed.), Springer, 2019, DOI: 10.1007/978-3-030-14227-8_10
VisualFlatter – Visual Analysis of Distortions in the Projection of Biomedical Structures
Grossmann, N., Köppel, T., Gröller, M.E., and Raidou, R.G., Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM), pp.167-177, 2018, DOI: 10.2312/vcbm.20181242
ChemoExplorer: A Dashboard for the Visual Analysis of Chemotherapy Response in Breast Cancer Patients
Karall, N., Gröller, M.E., and Raidou, R.G., EuroVis 2018 – Short Papers, EG Digital Library, pg. 49–53, 2018, DOI: 10.2312/eurovisshort.20181077
Bladder Runner: Visual Analytics for the Exploration of RT-Induced Bladder Toxicity in a Cohort Study
Raidou, R.G., Casares-Magaz, O., Amirkhanov, A., Moiseenko, V., Muren, L.P., Einck, J.P., Vilanova, A., and Gröller, M.E., Computer Graphics Forum, 37(3):205-216, 2018, DOI: 10.1111/cgf.13413
Comparative Visual Analysis of Pelvic Organ Segmentations
Reiter, O., Breeuwer, M., Gröller, M.E., and Raidou, R.G., EuroVis 2018 – Short Papers, EG Digital Library, pg. 37–41, 2016, DOI: 10.2312/eurovisshort.20181075
☆ Short Paper Awards (Honorable Mention)
Uncertainty Visualization: Recent Developments and Future Challenges in Prostate Cancer Radiotherapy Planning
Raidou, R.G., EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3), 2018, DOI: 10.2312/eurorv3.20181143
Uncertainty Evaluation of Image-Based Tumour Control Probability Models in Radiotherapy of Prostate Cancer Using a Visual Analytics Tool
Casares-Magaz, O., Raidou, R.G., Rørvik, J., Vilanova, A., and Muren, L.P., Journal of Physics and Imaging in Radiation Oncology (phiRO), 5 (2018): 5-8, 2018, DOI: 10.1016/j.phro.2017.12.003
Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline
Raidou, R.G., Breeuwer, M., and Vilanova, A., 2017, Eurographics 2017—Dirk Bartz Prize, pg. 1–4, 2016, DOI: 10.2312/egm.20171042
☆ Dirk Bartz Prize 2017 (1st Place)
Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline
Raidou, R.G., PhD Dissertation, Eindhoven University of Technology. ISBN 978-90-386-4230-7, 2017
Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers
Raidou, R.G., Kuijf, H.J., Sepasian, N., Pezzotti, N., Bouvy, W.H., Breeuwer, M., and Vilanova, A., In Medical Image Computing and Computer-Assisted Intervention—MICCAI. Lecture Notes in Computer Science, vol. 9901, pp. 97–105. Springer, Cham., 2016, DOI: 10.1007/978-3-319-46723-8_12
Visual Analytics for the Exploration and Assessment of Segmentation Errors
Raidou, R.G., Marcelis, F.J.J., Breeuwer, M., Gröller, M.E., Vilanova, A., and van de Wetering, H.M.M., Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM), pp.193-202, 2016, DOI: 10.2312/vcbm.20161287
A Fluoroscopy-Based Planning and Guidance Software Tool for Minimally Invasive Hip Refixation by Cement Injection
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., International journal of computer assisted radiology and surgery, 11(2), pp.281-296, 2016, DOI: 10.1007/s11548-015-1252-8
Visual Analysis of Tumor Control Models for Prediction of Radiotherapy Response
Raidou, R.G., Casares-Magaz, O., Muren, L.P., van der Heide, U.A., Rørvik, J., Breeuwer, M. and Vilanova, A., Computer Graphics Forum, 35(3):231-240, 2016, DOI: 10.1111/cgf.12899
Orientation-Enhanced Parallel Coordinate Plots
Raidou, R.G., Eisemann, M., Breeuwer, M., Eisemann, E. and Vilanova, A., IEEE Transactions on Visualization and Computer Graphics, 22(1), pp.589-598, 2015, DOI: 10.1109/TVCG.2015.2467872
Visual Analytics for the Exploration of Multiparametric Cancer Imaging
Raidou, R.G., Moreira, M.P., van Elmpt, W., Breeuwer, M. and Vilanova, A., In 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), 2014, DOI: 10.1109/VAST.2014.7042521
Visual Analytics for the Exploration of Tumor Tissue Characterization
R.G. Raidou, U.A. van der Heide, C.V. Dinh, G. Ghobadi, J.F. Kallehauge, M. Breeuwer, A. Vilanova, In Computer Graphics Forum (Vol. 34, No. 3, pp. 11-20), 2015, DOI: 10.1111/cgf.12613
The iCoCooN: Integration of Cobweb Charts with Parallel Coordinates for Visual Analysis of DCE-MRI Modeling Variations
Raidou, R.G., van der Heide, U.A., van Houdt, P.J., Breeuwer, M., Vilanova, A., Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM), pp. 11-20, 2014, DOI: 10.2312/vcbm.20141178