Expertises
Engineering & Materials Science
# Blood
# Convolutional Neural Networks
# Deep Learning
# Magnetic Resonance Imaging
# Semantics
# Thickness Measurement
Medicine & Life Sciences
# Deep Learning
Physics & Astronomy
# Arteries
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Publicaties
Recent
Alblas, D., Hofman, M.
, Brune, C., Yeung, K. K.
, & Wolterink, J. M. (2023).
Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. In O. Bernard, P. Clarysse, N. Duchateau, J. Ohayon, & M. Viallon (Eds.),
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.
https://doi.org/10.1007/978-3-031-35302-4_37
Alblas, D., van den Bosch, M., Feigl, Z.
, Klomp, L. J., Rottschäfer, V.
, Schwenninger, F.
, Spek, L.
, Weedage, L., & Zeijlemaker, S. (2023).
A Joint Data- and Model-Driven Approach Simulating the Behaviour of a Walkalong Glider. Cambridge University Press.
https://doi.org/10.33774/miir-2023-p957p
Thibeau-Sutre, E.
, Alblas, D., Buurman, S.
, Brune, C.
, & Wolterink, J. M. (Accepted/In press).
Uncertainty-based quality assurance of carotid artery segmentation. In
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE)
Alblas, D.
, Brune, C., Yeung, K. K.
, & Wolterink, J. M. (2022).
Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. (pp. 1-12).
Alblas, D.
, Brune, C., Yeung, K. K.
, & Wolterink, J. M. (2022).
Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. In O. Camara, E. Puyol-Antón, A. Suinesiaputra, A. Young, C. Qin, M. Sermesant, & S. Wang (Eds.),
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)
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). Article 120320Y (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 12032). SPIE.
https://doi.org/10.1117/12.2611112
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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(gebouwnr. 11), kamer 2110
Hallenweg 19
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
2110
Postbus 217
7500 AE Enschede