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)

Automated image fusion during endovascular aneurysm repair: a feasibility and accuracy study. - Stefan P. M. Smorenburg; Rutger J. Lely; Iris Smit-Ockeloen; Kak Khee Yeung; Arjan W. J. Hoksbergen (Int. J. Comput. Assist. Radiol. Surg., 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)

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)

Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation. - Patryk Rygiel; Julian Suk; Kak Khee Yeung; Christoph Brune; Jelmer M. Wolterink (CoRR, 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)

Wall Shear Stress Estimation in Abdominal Aortic Aneurysms: Towards Generalisable Neural Surrogate Models. - Patryk Rygiel; Julian Suk; Christoph Brune; Kak Khee Yeung; Jelmer M. Wolterink (CoRR, 2025)