12 citations · 12 across the 4 of their papers we have counts for
4 papers
Rotterdam artery-vein segmentation (RAV) dataset
Jose Vargas Quiros, Bart Liefers, Karin van Garderen +3
Purpose: To provide a diverse, high-quality dataset of color fundus images (CFIs) with detailed artery-vein (A/V) segmentation annotations, supporting the development and evaluatio…
Deep learning-based group-wise registration for longitudinal MRI analysis in glioma
Claudia Chinea Hammecher, Karin van Garderen, Marion Smits +8
Glioma growth may be quantified with longitudinal image registration. However, the large mass-effects and tissue changes across images pose an added challenge. Here, we propose a l…
Evaluating glioma growth predictions as a forward ranking problem
Karin A. van Garderen, Sebastian R. van der Voort, Maarten M. J. Wijnenga +6
The problem of tumor growth prediction is challenging, but promising results have been achieved with both model-driven and statistical methods. In this work, we present a framework…
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…