| Deep-learning-based carotid artery vessel wall segmentation in black-blood MRI using anatomical priors D Alblas, C Brune, JM Wolterink Medical Imaging 2022: Image Processing 12032, 237-244, 2022 | 18 | 2022 |
| Going off-grid: continuous implicit neural representations for 3D vascular modeling D Alblas, C Brune, KK Yeung, JM Wolterink International Workshop on Statistical Atlases and Computational Models of …, 2022 | 11 | 2022 |
| Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI E Thibeau-Sutre, D Alblas, S Buurman, C Brune, JM Wolterink International Workshop on Uncertainty for Safe Utilization of Machine …, 2023 | 2 | 2023 |
| Implicit neural representations for modeling of abdominal aortic aneurysm progression D Alblas, M Hofman, C Brune, KK Yeung, JM Wolterink International Conference on Functional Imaging and Modeling of the Heart …, 2023 | 2 | 2023 |
| SIRE: scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks D Alblas, J Suk, C Brune, KK Yeung, JM Wolterink arXiv preprint arXiv:2311.05400, 2023 | 1 | 2023 |
| Implementing and analysing the fast marching method D Alblas University of Twente, 2018 | 1 | 2018 |
| Global Control for Local SO (3)-Equivariant Scale-Invariant Vessel Segmentation P Rygiel, D Alblas, C Brune, KK Yeung, JM Wolterink arXiv preprint arXiv:2403.15314, 2024 | | 2024 |
| Robust Extraction of Personalized Circle of Willis Topology from 3D TOF-MRA Scans D Alblas, I Vos, M Lipplaa, C Brune, B Velthuis, H Kuijf, Y Ruigrok, ... Medical Imaging with Deep Learning, 2024 | | 2024 |
| A Joint Data-and Model-Driven Approach Simulating the Behaviour of a Walkalong Glider D Alblas, M van den Bosch, Z Feigl, LJ Klomp, V Rottschäfer, ... | | 2023 |
| Carotid wall shear stress and wall thickness in patients with familial hypercholesterolemia and their healthy siblings ES Peper, D Alblas, R Merton, SE van den Bosch, A Spakman, BF Coolen, ... | | 2023 |
| Computational Analysis of Fluid Dynamics in Intracranial Aneurysms D Alblas University of Twente, 2021 | | 2021 |
| Best Poster Presenter D Alblas | | |
| Automatic 3D bladder segmentation from low-field MR images using 3D U-Net L Straetemans, D Alblas, LM Morsinkhof, JM Wolterink, FFJ Simonis | | |
Jelmer M. WolterinkAssistant Professor, University of TwenteGeverifieerd e-mailadres voor utwente.nl
