| Benchmarking optimization algorithms for auto-tuning GPU kernels R Schoonhoven, B van Werkhoven, KJ Batenburg IEEE Transactions on Evolutionary Computation, 2022 | 6 | 2022 |
| 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 | 5 | 2022 |
| 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 | 4 | 2020 |
| 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 | 3 | 2020 |
| 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 | | 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 |
Kees Joost BatenburgProfessor of Imaging and VisualizationVerified email at liacs.leidenuniv.nl
