390 citations · 416 across the 10 of their papers we have counts for
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eess.IV2019★ 12 cited
Towards continuous learning for glioma segmentation with elastic weight consolidation
Karin van Garderen, Sebastian van der Voort, Fatih Incekara +2
When finetuning a convolutional neural network (CNN) on data from a new domain, catastrophic forgetting will reduce performance on the original training data. Elastic Weight Consol…
cs.CV2019
Multi-modal segmentation with missing MR sequences using pre-trained fusion networks
Karin van Garderen, Marion Smits, Stefan Klein
Missing data is a common problem in machine learning and in retrospective imaging research it is often encountered in the form of missing imaging modalities. We propose to take int…