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Chaves-de-Plaza, Nicolas F. (author), Mody, P. (author), Hildebrandt, K.A. (author), Staring, M. (author), Astreinidou, Eleftheria (author), de Ridder, Mischa (author), de Ridder, H. (author), van Egmond, R. (author)
Delineation of tumours and organs-at-risk permits detecting and correcting changes in the patients' anatomy throughout the treatment, making it a core step of adaptive external beam radiotherapy. Although auto-contouring technologies have sped up this process, the time needed to perform the quality assessment of the generated contours remains a...
book chapter 2022
document
Mody, Prerak (author), Chaves-de-Plaza, Nicolas F. (author), Hildebrandt, K.A. (author), van Egmond, R. (author), de Ridder, H. (author), Staring, Marius (author)
Deep learning models for organ contouring in radiotherapy are poised for clinical usage, but currently, there exist few tools for automated quality assessment (QA) of the predicted contours. Bayesian models and their associated uncertainty, can potentially automate the process of detecting inaccurate predictions. We investigate two Bayesian...
journal article 2022
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van der Neut, J.R. (author), Brackenhoff, Joeri (author), Staring, Myrna (author), Zhang, L. (author), de Ridder, S.A.L. (author), Slob, E.C. (author), Wapenaar, C.P.A. (author)
journal article 2018