Skeletonization for reinitialization in level-set-based vascular tree segmentation. - Rashindra Manniesing; Birgitta K. Velthuis; Maarten S. van Leeuwen; Wiro J. Niessen (Image Processing, 2004)

Level set based cerebral vasculature segmentation and diameter quantification in CT angiography. - Rashindra Manniesing; Birgitta K. Velthuis; Maarten S. van Leeuwen; Irene C. van der Schaaf; Peter Jan van Laar; Wiro J. Niessen (Medical Image Anal., 2006)

Intracranial aneurysm growth quantification in CTA. - Azadeh Firouzian; Rashindra Manniesing; Coert T. Metz; Stefan Klein 001; Birgitta K. Velthuis; Gabriel J. E. Rinkel; Aad van der Lugt; Wiro J. Niessen (Image Processing, 2012)

Computer-aided diagnosis of acute ischemic stroke based on cerebral hypoperfusion using 4D CT angiography. - Jean-Paul Charbonnier; Ewoud J. Smit; Max A. Viergever; Birgitta K. Velthuis; Pieter C. Vos (Computer-Aided Diagnosis, 2013)

Automatic detection and segmentation of ischemic lesions in computed tomography images of stroke patients. - Pieter C. Vos; J. Matthijs Biesbroek; Nick A. Weaver; Birgitta K. Velthuis; Max A. Viergever (Computer-Aided Diagnosis, 2013)

Combined pixel classification and atlas-based segmentation of the ventricular system in brain CT Images. - Pieter C. Vos; Ivana Isgum; J. Matthijs Biesbroek; Birgitta K. Velthuis; Max A. Viergever (Image Processing, 2013)

A non-linear regression method for CT brain perfusion analysis. - Edwin Bennink; Jaap Oosterbroek; Max A. Viergever; Birgitta K. Velthuis; Hugo W. A. M. de Jong (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Predicting stroke outcome using DCE-CT measured blood velocity. - Jaap Oosterbroek; Edwin Bennink; Jan-Willem Dankbaar; Alexander D. Horsch; Max A. Viergever; Birgitta K. Velthuis; Hugo W. A. M. de Jong (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Automated prediction of tissue outcome after acute ischemic stroke in computed tomography perfusion images. - Pieter C. Vos; Edwin Bennink; Hugo W. A. M. de Jong; Birgitta K. Velthuis; Max A. Viergever; Jan-Willem Dankbaar (Computer-Aided Diagnosis, 2015)

Variational autoencoders with a structural similarity loss in time of flight MRAs. - Kimberley M. Timmins; Irene C. van der Schaaf; Ynte M. Ruigrok; Birgitta K. Velthuis; Hugo J. Kuijf (Image Processing, 2021)

Automatic cerebral vessel extraction in TOF-MRA using deep learning. - V. de Vos; Kimberley M. Timmins; Irene C. van der Schaaf; Ynte M. Ruigrok; Birgitta K. Velthuis; Hugo J. Kuijf (Image Processing, 2021)

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. - Kimberley M. Timmins; Irene C. van der Schaaf; Edwin Bennink; Ynte M. Ruigrok; Xingle An; Michael Baumgartner 001; Pascal Bourdon; Riccardo de Feo; Tommaso Di Noto; Florian Dubost; Augusto Fava-Sanches; Xue Feng 001; et al. (NeuroImage, 2021)

Relationship between diameter asymmetry of the anterior cerebral arteries of the Circle of Willis and asymmetry in diameters and blood flow of the upstream vasculature: preliminary results. - Rick J. van Tuijl; Iris N. Vos; Ynte M. Ruigrok; Irene C. van der Schaaf; Birgitta K. Velthuis; Jaco J. M. Zwanenburg (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Deep learning with vessel surface meshes for intracranial aneurysm detection. - Kimberley M. Timmins; Irene C. van der Schaaf; Iris N. Vos; Ynte M. Ruigrok; Birgitta K. Velthuis; Hugo J. Kuijf (Computer-Aided Diagnosis, 2022)

Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networks. - Kimberley M. Timmins; Maarten J. Kamphuis; Iris N. Vos; Birgitta K. Velthuis; Irene C. van der Schaaf; Hugo J. Kuijf (EPIMI/ML-CDS@MICCAI, 2022)

Improving automated intracranial artery labeling using atlas-based features in graph convolutional nets. - Iris N. Vos; Ynte M. Ruigrok; Kimberley M. Timmins; Birgitta K. Velthuis; Hugo J. Kuijf (Image Processing, 2022)

Assessment of manual and automated intracranial artery diameter measurements. - Iris N. Vos; Maud E. H. Ophelders; Ynte M. Ruigrok; Birgitta K. Velthuis; Hugo J. Kuijf (Image Perception, Observer Performance, and Technology Assessment, 2022)

Calibration techniques for node classification using graph neural networks on medical image data. - Iris N. Vos; Ishaan Bhat; Birgitta K. Velthuis; Ynte M. Ruigrok; Hugo J. Kuijf (MIDL, 2023)

Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy. - Laura Alvarez-Florez; Jörg Sander 003; Mimount Bourfiss; Fleur V. Y. Tjong; Birgitta K. Velthuis; Ivana Isgum (STACOM@MICCAI, 2023)

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. - Kaiyuan Yang 003; Fabio Musio; Yihui Ma; Norman Juchler; Johannes C. Paetzold; Rami Al-Maskari; Luciano Höher; Hongwei Bran Li; Ibrahim Ethem Hamamci; Anjany Sekuboyina; Suprosanna Shit; Houjing Huang; et al. (CoRR, 2023)

Geometric Deep Learning Using Vascular Surface Meshes for Modality-Independent Unruptured Intracranial Aneurysm Detection. - Kimberley M. Timmins; Irene C. van der Schaaf; Iris N. Vos; Ynte M. Ruigrok; Birgitta K. Velthuis; Hugo J. Kuijf (IEEE Trans. Medical Imaging, 2023)

Evaluation of techniques for automated classification and artery quantification of the circle of Willis on TOF-MRA images: The CROWN challenge. - Iris N. Vos; Ynte M. Ruigrok; Edwin Bennink; Mireille R. E. Velthuis; Barbara Paic; Maud E. H. Ophelders; Myrthe A. D. Buser; Bas H. M. van der Velden; Chen Geng 002; Matthieu Coupet; Félix Dumais; Adrian Galdran; et al. (Medical Image Anal., 2025)

Sex-specific anatomical variation of circle of Willis arteries. - Phebe J. Groenheide; Iris N. Vos; Robin Bülow; Irene C. van der Schaaf; Birgitta K. Velthuis; Ynte M. Ruigrok (NeuroImage, 2025)