Deep-learning-based carotid artery vessel wall segmentation in black-blood MRI using anatomical priors. - Dieuwertje Alblas; Christoph Brune; Jelmer M. Wolterink (Image Processing, 2022)

Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. - Dieuwertje Alblas; Christoph Brune; Kak Khee Yeung; Jelmer M. Wolterink (STACOM@MICCAI, 2022)

Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. - Dieuwertje Alblas; Marieke Hofman; Christoph Brune; Kak Khee Yeung; Jelmer M. Wolterink (FIMH, 2023)

Uncertainty-Based Quality Assurance of Carotid Artery Wall Segmentation in Black-Blood MRI. - Elina Thibeau-Sutre; Dieuwertje Alblas; Sophie Buurman; Christoph Brune; Jelmer M. Wolterink (UNSURE@MICCAI, 2023)

Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. - Patryk Rygiel; Dieuwertje Alblas; Christoph Brune; Kak Khee Yeung; Jelmer M. Wolterink (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Physics-informed graph neural networks for flow field estimation in carotid arteries. - Julian Suk; Dieuwertje Alblas; Barbara A. Hutten; Albert Wiegman; Christoph Brune; Pim van Ooij; Jelmer M. Wolterink (CoRR, 2024)

SIRE: Scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks. - Dieuwertje Alblas; Julian Suk; Christoph Brune; Kak Khee Yeung; Jelmer M. Wolterink (Medical Image Anal., 2025)

Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces. - Dieuwertje Alblas; Patryk Rygiel; Julian Suk; Kaj O. Kappe; Marieke Hofman; Christoph Brune; Kak Khee Yeung; Jelmer M. Wolterink (CoRR, 2025)