Real-time segmentation for tomographic imaging. - Richard Schoonhoven; Jan-Willem Buurlage; Daniël Maria Pelt; Kees Joost Batenburg (MLSP, 2020)

LEAN: graph-based pruning for convolutional neural networks by extracting longest chains. - Richard Schoonhoven; Allard A. Hendriksen; Daniël Maria Pelt; Kees Joost Batenburg (CoRR, 2020)

Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning. - Richard Schoonhoven; Bram Veenboer; Ben van Werkhoven; Kees Joost Batenburg (PMBS@SC, 2022)

Benchmarking Optimization Algorithms for Auto-Tuning GPU Kernels. - Richard Arnoud Schoonhoven; Ben van Werkhoven; Kees Joost Batenburg (IEEE Trans. Evol. Comput., 2023)

A methodology for comparing optimization algorithms for auto-tuning. - Floris-Jan Willemsen; Richard Schoonhoven; Jiri Filipovic; Jacob O. Tørring; Rob van Nieuwpoort; Ben van Werkhoven (Future Gener. Comput. Syst., 2024)

AC-IND: Sparse CT Reconstruction Based on Attenuation Coefficient Estimation and Implicit Neural Distribution. - Wangduo Xie; Richard Schoonhoven; Tristan van Leeuwen; Matthew B. Blaschko (WACV, 2025)