Overview Research Education Media Contact
I am a PhD candidate in the Mathematics of Imaging & AI group in the EEMCS faculty. My PhD project focuses on developing deep-learning methods for finding personalized biomarkers in patients with cardiovascular diseases, specifically abdominal aortic aneurysms (AAAs).
My main research interests are image processing, shape analysis and geometric deep learning.
Besides my job as a researcher, I am chairman of Kwadrant, the alumni association for Applied Mathematics at the University of Twente.
Expertise Computer Science Models Graph Neural Network Neural Representation Large Scale Data Scale Data Set Segmentation Driven Approach Earth and Planetary Sciences Organisations Publications Physics-informed graph neural networks for flow field estimation in carotid arteries (2024) [Working paper › Preprint]. ArXiv.org. Suk, J., Alblas, D. , Hutten, B. A., Wiegman, A., Brune, C., van Ooij, P. & Wolterink, J. M. https://doi.org/10.48550/arXiv.2408.07110 AAA-100: A Curated Dataset of 3D Watertight Abdominal Aortic Aneurysm Models (2024) [Dataset Types › Dataset]. Zenodo. Rygiel, P., Alblas, D. , Brune, C., Smorenburg, S., Yeung, K. K. & Wolterink, J. M. https://doi.org/10.5281/zenodo.10932956 Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation (2024) [Working paper › Preprint]. ArXiv.org. Rygiel, P., Alblas, D. , Brune, C., Yeung, K. K. & Wolterink, J. M. https://doi.org/10.48550/arXiv.2403.15314 SIRE: scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks (2023) [Working paper › Preprint]. ArXiv.org. Alblas, D. , Suk, J. M., Brune, C., Yeung, K. K. & Wolterink, J. M. A Joint Data- and Model-Driven Approach Simulating the Behaviour of a Walkalong Glider (2023) [Working paper › Working paper]. Cambridge University Press. Alblas, D. , van den Bosch, M., Feigl, Z., Klomp, L. J., Rottschäfer, V., Schwenninger, F., Spek, L., Weedage, L. & Zeijlemaker, S. https://doi.org/10.33774/miir-2023-p957p Uncertainty-based quality assurance of carotid artery segmentation (2023) In Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE) (Accepted/In press). Thibeau-Sutre, E., Alblas, D. , Buurman, S., Brune, C. & Wolterink, J. M. Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI (2023) [Working paper › Preprint]. ArXiv.org. Thibeau-Sutre, E., Alblas, D. , Buurman, S., Brune, C. & Wolterink, J. M. https://doi.org/10.48550/arXiv.2308.09538 Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression (2023) In Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings (pp. 356-365) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13958 LNCS). Springer. Alblas, D. , Hofman, M., Brune, C., Yeung, K. K. & Wolterink, J. M. https://doi.org/10.1007/978-3-031-35302-4_37 Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression (2023) [Working paper › Preprint]. ArXiv.org. Alblas, D. , Hofman, M., Brune, C., Yeung, K. K. & Wolterink, J. M. https://doi.org/10.48550/arXiv.2303.01069 Research profiles Courses academic year 2024/2025 Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses academic year 2023/2024 
Scan the QR code or