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Lai, Marco (author), Skyrman, Simon (author), Kor, Flip (author), Homan, Robert (author), Babic, Drazenko (author), Edström, Erik (author), Persson, Oscar (author), Burström, Gustav (author), Elmi-Terander, Adrian (author), Hendriks, B.H.W. (author), De With, Peter H.N. (author)
Neurosurgical training is performed on human cadavers and simulation models, such as VR platforms, which have several drawbacks. Head phantoms could solve most of the issues related to these trainings. The aim of this study was to design a realistic and CT-compatible head phantom, with a specific focus on endo-nasal skull-base surgery and...
conference paper 2021
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Virgolin, M. (author), Wang, Ziyuan (author), Alderliesten, T. (author), Bosman, P.A.N. (author)
The advent of Machine Learning (ML) is proving extremely beneficial in many healthcare applications. In pediatric oncology, retrospective studies that investigate the relationship between treatment and late adverse effects still rely on simple heuristics. To capture the effects of radiation treatment, treatment plans are typically simulated...
conference paper 2020