Iris Vos

Iris Vos graduated in Medical Engineering at Eindhoven University of Technology in 2020. After her graduation project, she started her PhD at the Image Sciences Institute under supervision of dr. Hugo Kuijf, dr. Ynte Ruigrok, and prof. Birgitta Velthuis. Her research focusses on predicting intracranial aneurysm development using advanced machine learning and image analysis techniques.

Publications

• Anatomical differences of intracranial arteries according to sex: a systematic review and meta-analysis
  Ophelders, M. E.H., van Eldik, M. J.A., Vos, I. N., Beentjes, Y. S., Velthuis, B. K., Ruigrok, Y. M. Feb 2024 in Journal of neuroradiology 51 (1), p. 10-15
• Graph convolutional networks for automated intracranial artery labeling
  Vos, Iris N, Ruigrok, Ynte M, Bhat, Ishaan R, Timmins, Kimberley M, Velthuis, Birgitta K, Kuijf, Hugo J Feb 2024 in Journal of Medical Imaging 11 (1),
• Relationship between diameter asymmetry and blood flow in the pre-communicating (A1) segment of the anterior cerebral arteries
  van Tuijl, R J, Ruigrok, Y M, Ophelders, MEH, Vos, I N, van der Schaaf, I C, Zwanenburg, JJM, Velthuis, B K Jun 2023 in Journal of neuroradiology 50 (4), p. 402-406
• Calibration techniques for node classification using graph neural networks on medical image data
  Vos, Iris, Bhat, Ishaan, Velthuis, Birgitta, Ruigrok, Ynte, Kuijf, Hugo apr 2023 in Calibration techniques for node classification using graph neural networks on medical image data: Medical Imaging with Deep Learning. 2023. p. (; vol. )
• Geometric Deep Learning using Vascular Surface Meshes for Modality-Independent Unruptured Intracranial Aneurysm Detection
  Timmins, Kimberley M, Van der Schaaf, Irene C, Vos, Iris N, Ruigrok, Ynte M, Velthuis, Birgitta K, Kuijf, Hugo J Nov 2023 in IEEE Transactions on Medical Imaging 42 (11), p. 3451-3460
• Improving automated intracranial artery labeling using atlas-based features in graph convolutional nets
  Vos, Iris, Ruigrok, Ynte, Timmins, Kimberley, Velthuis, Birgitta, Kuijf, Hugo apr 2022 in Improving automated intracranial artery labeling using atlas-based features in graph convolutional nets: Conference proceedings of SPIE 12032, Medical Imaging 2022: Image Processing p. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12032)
• Deep learning with vessel surface meshes for intracranial aneurysm detection
  Timmins, Kimberley, van der Schaaf, Irene, Vos, Iris, Ruigrok, Ynte, Velthuis, Birgitta, Kuijf, Hugo apr 2022 in Deep learning with vessel surface meshes for intracranial aneurysm detection: Proc. SPIE 12033, Medical Imaging 2022: Computer-Aided Diagnosis p. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12033)
• Assessment of manual and automated intracranial artery diameter measurements
  Vos, Iris, Ophelders, Maud, Ruigrok, Ynte, Velthuis, Birgitta, Kuijf, Hugo mar 2022 in Assessment of manual and automated intracranial artery diameter measurements: Conference proceedings of SPIE 12035, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment p. (; vol. )
• Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networks
  Timmins, Kimberley M., Kamphuis, Maarten J., Vos, Iris N., Velthuis, Birgitta K., Schaaf, Irene C.van der, Kuijf, Hugo J. dec 2022 in Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networks: Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging p. 103-112 (Lecture Notes in Computer Science; vol. 13755)
• 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
  van Tuijl, Rick J., Vos, Iris N., Ruigrok, Ynte M., van der Schaaf, Irene C., Velthuis, Birgitta K., Zwanenburg, Jaco J.M. 2022 in 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 Medical Imaging 2022 p. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12036)
• Indirect frontocingulate structural connectivity predicts clinical response to accelerated rTMS in major depressive disorder
  Klooster, Deborah C.W., Vos, Iris N., Caeyenberghs, Karen, Leemans, Alexander, David, Szabolcs, Besseling, René M.H., Aldenkamp, Albert P., Baeken, Chris Jul 2020 in Journal of Psychiatry and Neuroscience 45 (4), p. 243-252