23 citations · 39 across the 4 of their papers we have counts for
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cs.CV2021★ 14 cited
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation
Robin Camarasa, Daniel Bos, Jeroen Hendrikse +4
Uncertainty assessment has gained rapid interest in medical image analysis. A popular technique to compute epistemic uncertainty is the Monte-Carlo (MC) dropout technique. From a n…
eess.IV2021★ 23 cited
Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT
Gerda Bortsova, Daniel Bos, Florian Dubost +4
Purpose: To evaluate a fully-automated deep-learning-based method for assessment of intracranial carotid artery calcification (ICAC). Methods: Two observers manually delineated ICA…