Sebastian R. van der Voort

Classification of malignant and benign liver tumors using a radiomics approach

Stefan Klein, Wiro J. Niessen, Martijn P. A. Starmans, 2018, Medical Imaging.

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

Stefan Klein, Wiro J. Niessen, Marion Smits, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

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

Stefan Klein, Gokhan Gunay, Adriaan Moelker, 2017, MICCAI.

Radiomics: Data mining using quantitative medical image features

Stefan Klein, Wiro J. Niessen, Sebastian R. van der Voort, 2020 .

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

Wiro J. Niessen, Marion Smits, Stefan Klein, 2020, ArXiv.

Local Image Registration Uncertainty Estimation Using Polynomial Chaos Expansions

Stefan Klein, Gokhan Gunay, Adriaan Moelker, 2018, WBIR.

Towards continuous learning for glioma segmentation with elastic weight consolidation pdf

Stefan Klein, Sebastian R. van der Voort, Fatih Incekara, 2019, ArXiv.

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

Wiro J. Niessen, Marion Smits, Esther Bron, 2021, ArXiv.

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

Marion Smits, Martijn P. A. Starmans, Sebastian R. van der Voort, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Evaluating glioma growth predictions as a forward ranking problem pdf

Marion Smits, Sebastian R. van der Voort, Renske Gahrmann, 2021, BrainLes@MICCAI.