The Master Thesis authored by Kamil Kwarciak has been honored with the prestigious InnoDiament Award! 🏆 This award is given to a single, carefully selected thesis at AGH University of Kraków for its outstanding practical potential - and I had the pleasure to be the supervisor!
Kamil’s thesis, titled “Unsupervised Segmentation of Defective Skulls in Volumetric Data Using Deep Networks Dedicated to Modality Transfer” delves into the innovative approach of automatic skull segmentation from magnetic resonance volumes. By applying unsupervised modality transfer to computed tomography, the thesis demonstrates how skulls can be directly segmented using simple thresholding techniques, without using any ground-truth annotations. This amazing work was part of the DeepImplant project, funded by NCBR.
Adding to this achievement, the thesis also secured 3rd place in the Diamenty AGH competition! 🥉