Mathijs de Boer

After acquiring an interest in image processing during a Bachelor's in Medical Informatics, Mathijs opted to pursue a Masters degree in Medical Imaging.

Currently, he is doing a PhD in brain tumour segmentation for visualization in Augmented Reality settings.

Publications:

• NnU-Net versus mesh growing algorithm as a tool for the robust and timely segmentation of neurosurgical 3D images in contrast-enhanced T1 MRI scans
  de Boer, Mathijs, Kos, Tessa, Fick, Tim, van Doormaal, Jesse, Colombo, Elisa, Kuijf, Hugo, Robe, PAJT, Regli, L.P.E., Bartels, Lambertus, van Doormaal, TPC Feb 2024 in Acta Neurochirurgica 166 (1),
• Accuracy of an nnUNet neural network for the automatic segmentation of intracranial aneurysms, their parent vessels and major cerebral arteries from magnetic resonance imaging-Time of flight (MRI-TOF)
  Colombo, Elisa, de Boer, Mathijs, Bartels, Lambertus W, Regli, Luca P, van Doormaal, Tristan P C Nov 2024 in AJNR. American journal of neuroradiology