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)

Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke. - Adam Hilbert; Lucas Alexandre Ramos; Hendrikus J. A. van Os; Sílvia D. Olabarriaga; Manon L. Tolhuisen; Marieke J. H. Wermer; Renan Sales Barros; Irene C. van der Schaaf; Diederik W. J. Dippel; Yvo B. W. E. M. Roos; Wim H. van Zwam; Albert J. Yoo; et al. (Comput. Biol. Medicine, 2019)

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)

Evolutionary algorithms and decision trees for predicting poor outcome after endovascular treatment for acute ischemic stroke. - N. Kappelhof; Lucas Alexandre Ramos; M. Kappelhof; Hendrikus J. A. van Os; V. Chalos; K. R. van Kranendonk; N. D. Kruyt; Yvo B. W. E. M. Roos; Wim H. van Zwam; Irene C. van der Schaaf; Marianne A. A. van Walderveen; Marieke J. H. Wermer; et al. (Comput. Biol. Medicine, 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)

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)

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)