D. Alblas MSc (Dieuwertje)

PhD Candidate
EEMCS-AM-MIA
Zilverling 2110
d.alblas@utwente.nl
+31534891250
Business card

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
    • Neural Representation
    • Segmentation
    • Convolutional Neural Network
    • Driven Approach
    • Graph Neural Network
    • Quality Assurance
    • Rotation Invariant

Organisations

Publications

2024
Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. ArXiv.org. Rygiel, P., Alblas, D., Brune, C., Yeung, K. K. & Wolterink, J. M.https://doi.org/10.48550/arXiv.2403.15314
2023
SIRE: scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks. 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. 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-p957pUncertainty-based quality assurance of carotid artery segmentationIn 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.Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm ProgressionIn Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings (pp. 356-365). Springer. Alblas, D., Hofman, M., Brune, C., Yeung, K. K. & Wolterink, J. M.https://doi.org/10.1007/978-3-031-35302-4_37
2022
Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling, 1-12. Alblas, D., Brune, C., Yeung, K. K. & Wolterink, J. M.Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical PriorsIn Medical Imaging 2022: Image Processing, Article 120320Y. SPIE. Alblas, D., Brune, C. & Wolterink, J. M.https://doi.org/10.1117/12.2611112Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular ModelingIn Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers: 13th International Workshop, STACOM 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers (pp. 79-90). Alblas, D., Brune, C., Yeung, K. K. & Wolterink, J. M.https://doi.org/10.1007/978-3-031-23443-9_8
2021
Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors. ArXiv.org. Alblas, D., Brune, C. & Wolterink, J. M.https://arxiv.org/abs/2112.01137

Research profiles

Courses academic year 2023/2024

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 2022/2023

News on utwente.nl

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University of Twente

Zilverling (building no. 11), room 2110
Hallenweg 19
7522 NH Enschede
Netherlands

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