Karin van Garderen

According to our database, Karin van Garderen authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Evaluating the Predictive Value of Glioma Growth Models for Low-Grade Glioma After Tumor Resection.

Karin A. van Garderen, Sebastian R. van der Voort, Maarten M. J. Wijnenga, Fatih Incekara, Ahmad Alafandi, Georgios Kapsas, Renske Gahrmann, Joost W. Schouten, Hendrikus J. Dubbink, Arnaud J. P. E. Vincent, Martin J. van den Bent, Pim J. French, Marion Smits, Stefan Klein

IEEE Trans. Medical Imaging, January, 2024

VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus Images.

Jose Vargas Quiros, Bart Liefers, Karin van Garderen, Jeroen Vermeulen, Eyened Reading Center, Sinergia Consortium, Caroline Klaver

CoRR, 2024

2023

Deep learning-based group-wise registration for longitudinal MRI analysis in glioma.

Claudia Chinea Hammecher, Karin van Garderen, Marion Smits, Pieter Wesseling, Bart A. Westerman, Pim J. French, Mathilde C. M. Kouwenhoven, Roel G. W. Verhaak, Frans Vos, Esther Bron, Bo Li

CoRR, 2023

2021

The Effect of Preprocessing on Convolutional Neural Networks for Medical Image Segmentation.

K. B. de Raad, Karin A. van Garderen, Marion Smits, Sebastian R. van der Voort, Fatih Incekara, Edwin H. G. Oei, Jukka Hirvasniemi, Stefan Klein, Martijn P. A. Starmans

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Evaluating Glioma Growth Predictions as a Forward Ranking Problem.

Karin A. van Garderen, Sebastian R. van der Voort, Maarten M. J. Wijnenga, Fatih Incekara, Georgios Kapsas, Renske Gahrmann, Ahmad Alafandi, Marion Smits, Stefan Klein

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2019

Towards continuous learning for glioma segmentation with elastic weight consolidation.

Karin van Garderen, Sebastian R. van der Voort, Fatih Incekara, Marion Smits, Stefan Klein

CoRR, 2019

Multi-modal Segmentation with Missing MR Sequences Using Pre-trained Fusion Networks.

Karin van Garderen, Marion Smits, Stefan Klein

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019