no code implementations • 18 Jun 2023 • Claudia Chinea Hammecher, Karin van Garderen, Marion Smits, Pieter Wesseling, Bart Westerman, Pim French, Mathilde Kouwenhoven, Roel Verhaak, Frans Vos, Esther Bron, Bo Li
The proposed methods may serve as an alternative to classical toolboxes, to provide further insight into glioma growth.
no code implementations • 25 Sep 2019 • Karin van Garderen, Sebastian van der Voort, Fatih Incekara, Marion Smits, Stefan Klein
When finetuning a convolutional neural network (CNN) on data from a new domain, catastrophic forgetting will reduce performance on the original training data.
no code implementations • 25 Sep 2019 • 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.