Zilverling

D. Alblas MSc (Dieuwertje)

Promovendus
EEMCS-AM-MIA
Zilverling 2110
d.alblas@utwente.nl
+31534891250
Visitekaartje

Expertises

  • Computer Science

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

Organisaties

Publicaties

2024

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.10932956Global 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

2023

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-p957pUncertainty-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.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

2022

Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling (2022)[Working paper › Preprint]. Alblas, D., Brune, C., Yeung, K. K. & Wolterink, J. M.Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors (2022)In Medical Imaging 2022: Image Processing. Article 120320Y (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 12032). SPIE. Alblas, D., Brune, C. & Wolterink, J. M.https://doi.org/10.1117/12.2611112Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling (2022)In 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 (2021)[Working paper › Preprint]. ArXiv.org. Alblas, D., Brune, C. & Wolterink, J. M.https://arxiv.org/abs/2112.01137

Onderzoeksprofielen

Vakken collegejaar 2023/2024

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.

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