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Richard Schoonhoven
Richard Schoonhoven
Assistant Professor, Amsterdam UMC, Pathology
Verified email at amsterdamumc.nl
Title
Cited by
Cited by
Year
Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning
R Schoonhoven, B Veenboer, B Van Werkhoven, KJ Batenburg
2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking …, 2022
142022
Benchmarking optimization algorithms for auto-tuning GPU kernels
RA Schoonhoven, B van Werkhoven, KJ Batenburg
IEEE Transactions on Evolutionary Computation 27 (3), 550-564, 2022
122022
LEAN: graph-based pruning for convolutional neural networks by extracting longest chains
R Schoonhoven, AA Hendriksen, DM Pelt, KJ Batenburg
arXiv preprint arXiv:2011.06923, 2020
42020
Real-time segmentation for tomographic imaging
R Schoonhoven, JW Buurlage, DM Pelt, KJ Batenburg
2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020
32020
A methodology for comparing optimization algorithms for auto-tuning
FJ Willemsen, R Schoonhoven, J Filipovič, JO Tørring, R van Nieuwpoort, ...
Future Generation Computer Systems 159, 489-504, 2024
22024
How auto-differentiation can improve CT workflows: classical algorithms in a modern framework
R Schoonhoven, A Skorikov, WJ Palenstijn, DM Pelt, AA Hendriksen, ...
Optics Express 32 (6), 9019-9041, 2024
12024
Self-supervised image restoration in coherent X-ray neuronal microscopy
A Laugros, P Cloetens, C Bosch, R Schoonhoven, L Pavlovic, AT Kuan, ...
bioRxiv, 2025.02. 10.633538, 2025
2025
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution
W Xie, R Schoonhoven, T van Leeuwen, MB Blaschko
arXiv preprint arXiv:2409.07171, 2024
2024
On the optimization of imaging pipelines
RA Schoonhoven
Leiden University, 2024
2024
Improving cryo-ET reconstructions of ER-associated ribosomes with tomographic reconstruction methods and deep learning
RA Schoonhoven
2019
The McKay correspondence and resolving the Kleinian singularities
RA Schoonhoven
2016
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