I.N. (Iris) Vos MSc

I.N. (Iris) Vos MSc

PHD Candidate - OIO
I.N. (Iris) Vos MSc
  • Image Sciences Institute

Research Programs




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.

Research Output (9)

Calibration techniques for node classification using graph neural networks on medical image data

Vos Iris, Bhat Ishaan, Velthuis Birgitta, Ruigrok Ynte, Kuijf Hugo 5 Apr 2023,

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 2023, In: IEEE transactions on medical imaging. 42 , p. 3451-3460 10 p.

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. 17 Dec 2022, p. 103-112 10 p.

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 15 Oct 2022, In: Journal of neuroradiology. 50 , p. 402-406 5 p.

Improving automated intracranial artery labeling using atlas-based features in graph convolutional nets

Vos Iris, Ruigrok Ynte, Timmins Kimberley, Velthuis Birgitta, Kuijf Hugo 4 Apr 2022, 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 4 Apr 2022,

Assessment of manual and automated intracranial artery diameter measurements

Vos Iris, Ophelders Maud, Ruigrok Ynte, Velthuis Birgitta, Kuijf Hugo 21 Mar 2022,

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 28 Jan 2020, In: Journal of Psychiatry and Neuroscience. 45 , p. 243-252 10 p.

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