Sebastian R. van der Voort

According to our database, Sebastian R. van der Voort authored at least 12 papers between 2017 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

2022

Computer-aided diagnosis and prediction in brain disorders.

Vikram Venkatraghavan, Sebastian R. van der Voort, Daniel Bos, Marion Smits, Frederik Barkhof, Wiro J. Niessen, Stefan Klein, Esther E. Bron

CoRR, 2022

2021

DeepDicomSort: An Automatic Sorting Algorithm for Brain Magnetic Resonance Imaging Data.

Sebastian R. van der Voort, Marion Smits, Stefan Klein

Neuroinformatics, 2021

Reproducible radiomics through automated machine learning validated on twelve clinical applications.

Martijn P. A. Starmans, Sebastian R. van der Voort, Thomas Phil, Milea J. M. Timbergen, Melissa Vos, Guillaume A. Padmos, Wouter Kessels, David Hanff, Dirk J. Grünhagen, Cornelis Verhoef, Stefan Sleijfer, Martin J. van den Bent, Marion Smits, Roy S. Dwarkasing, Christopher J. Els, Federico Fiduzi, Geert J. L. H. van Leenders, Anela Blazevic, Johannes Hofland, Tessa Brabander, Renza A. H. van Gils, Gaston J. H. Franssen, Richard A. Feelders, Wouter W. de Herder, Florian E. Buisman, François E. J. A. Willemssen, Bas Groot Koerkamp, Lindsay Angus, Astrid A. M. van der Veldt, Ana Rajicic, Arlette E. Odink, Mitchell Deen, Jose M. Castillo T, Jifke F. Veenland, Ivo Schoots, Michel Renckens, Michail Doukas, Rob A. de Man, Jan N. M. IJzermans, Razvan L. Miclea, Peter B. Vermeulen, Esther E. Bron, Maarten G. Thomeer, Jacob J. Visser, Wiro J. Niessen, Stefan Klein

CoRR, 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, E. 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

2020

WHO 2016 subtyping and automated segmentation of glioma using multi-task deep learning.

Sebastian R. van der Voort, Fatih Incekara, Maarten M. J. Wijnenga, Georgios Kapsas, Renske Gahrmann, Joost W. Schouten, Rishi Nandoe Tewarie, Geert J. Lycklama, Philip C. de Witt Hamer, Roelant S. Eijgelaar, Pim J. French, Hendrikus J. Dubbink, Arnaud J. P. E. Vincent, Wiro J. Niessen, Martin J. van den Bent, Marion Smits, Stefan Klein

CoRR, 2020

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

2018

Local Image Registration Uncertainty Estimation Using Polynomial Chaos Expansions.

Gokhan Gunay, Sebastian R. van der Voort, Ha Manh Luu, Adriaan Moelker, Stefan Klein

Proceedings of the Biomedical Image Registration - 8th International Workshop, 2018

Classification of malignant and benign liver tumors using a radiomics approach.

Martijn P. A. Starmans, Razvan L. Miclea, Sebastian R. van der Voort, Wiro J. Niessen, Maarten G. Thomeer, Stefan Klein

Proceedings of the Medical Imaging 2018: Image Processing, 2018

2017

Parameter Sensitivity Analysis in Medical Image Registration Algorithms Using Polynomial Chaos Expansions.

Gokhan Gunay, Sebastian R. van der Voort, Ha Manh Luu, Adriaan Moelker, Stefan Klein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Radiogenomic classification of the 1p/19q status in presumed low-grade gliomas.

Sebastian R. van der Voort, Renske Gahrmann, Martin J. van den Bent, Arnaud J. P. E. Vincent, Wiro J. Niessen, Marion Smits, Stefan Klein

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017