Dieuwertje Alblas

16 papers B 1Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces. Artif. Intell. Medicine Dieuwertje Alblas, Patryk Rygiel, Julian Suk, Kaj O. Kappe, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2026	J	`jnl`	Physics-informed graph neural networks for flow field estimation in carotid arteries. Medical Image Anal. Julian Suk, Dieuwertje Alblas, Barbara A. Hutten, Albert Wiegman, Christoph Brune, Pim van Ooij, Jelmer M. Wolterink
2025	J	`jnl`	Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces. CoRR Dieuwertje Alblas, Patryk Rygiel, Julian Suk, Kaj O. Kappe, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2025	J	`jnl`	SIRE: Scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks. Medical Image Anal. Dieuwertje Alblas, Julian Suk, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2024	—	`conf`	Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. CMRxRecon/MBAS/STACOM@MICCAI Patryk Rygiel, Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2024	J	`jnl`	Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. CoRR Patryk Rygiel, Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2024	J	`jnl`	Physics-informed graph neural networks for flow field estimation in carotid arteries. CoRR Julian Suk, Dieuwertje Alblas, Barbara A. Hutten, Albert Wiegman, Christoph Brune, Pim van Ooij, Jelmer M. Wolterink
2023	—	`conf`	Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. FIMH Dieuwertje Alblas, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2023	J	`jnl`	Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. CoRR Dieuwertje Alblas, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2023	J	`jnl`	SIRE: scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks. CoRR Dieuwertje Alblas, Julian Suk, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2023	—	`conf`	Uncertainty-Based Quality Assurance of Carotid Artery Wall Segmentation in Black-Blood MRI. UNSURE@MICCAI Elina Thibeau-Sutre, Dieuwertje Alblas, Sophie Buurman, Christoph Brune, Jelmer M. Wolterink
2023	J	`jnl`	Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI. CoRR Elina Thibeau-Sutre, Dieuwertje Alblas, Sophie Buurman, Christoph Brune, Jelmer M. Wolterink
2022	B	`conf`	Deep-learning-based carotid artery vessel wall segmentation in black-blood MRI using anatomical priors. Image Processing Dieuwertje Alblas, Christoph Brune, Jelmer M. Wolterink
2022	—	`conf`	Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. STACOM@MICCAI Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2022	J	`jnl`	Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. CoRR Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2021	J	`jnl`	Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors. CoRR Dieuwertje Alblas, Christoph Brune, Jelmer M. Wolterink