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D. Alblas MSc (Dieuwertje)

PhD Candidate

Expertise

Engineering & Materials Science
Blood
Convolutional Neural Networks
Deep Learning
Magnetic Resonance Imaging
Semantics
Thickness Measurement
Medicine & Life Sciences
Deep Learning
Physics & Astronomy
Arteries

Publications

Recent
Alblas, D. , Brune, C., Yeung, K. K. , & Wolterink, J. M. (Accepted/In press). Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. 79-90. Paper presented at 13th Workshop of Statistical Atlases and Computational Modeling of the Heart, STACOM 2022, Singapore, Singapore. https://doi.org/10.1007/978-3-031-23443-9_8
Alblas, D. , Brune, C. , & Wolterink, J. M. (2022). Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors. In O. Colliot, I. Isgum, B. A. Landman, & M. H. Loew (Eds.), Medical Imaging 2022: Image Processing (Vol. 12032). [120320Y] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 12032). SPIE Press. https://doi.org/10.1117/12.2611112

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Courses Academic Year  2022/2023

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  2021/2022

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 3006
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  3006
P.O. Box 217
7500 AE Enschede
The Netherlands

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