| Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound S Roy, W Menapace, S Oei, B Luijten, E Fini, C Saltori, I Huijben, ... IEEE transactions on medical imaging 39 (8), 2676-2687, 2020 | 586 | 2020 |
| A review of the gumbel-max trick and its extensions for discrete stochasticity in machine learning IAM Huijben, W Kool, MB Paulus, RJG Van Sloun IEEE transactions on pattern analysis and machine intelligence 45 (2), 1353-1371, 2022 | 91 | 2022 |
| Learning sub-sampling and signal recovery with applications in ultrasound imaging IAM Huijben, BS Veeling, K Janse, M Mischi, RJG van Sloun IEEE Transactions on Medical Imaging 39 (12), 3955-3966, 2020 | 62 | 2020 |
| Deep probabilistic subsampling for task-adaptive compressed sensing I Huijben, BS Veeling, RJG van Sloun 8th International Conference on Learning Representations, ICLR 2020, 2020 | 44 | 2020 |
| Learning sampling and model-based signal recovery for compressed sensing MRI IAM Huijben, BS Veeling, RJG van Sloun ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 38 | 2020 |
| Overfitting for fun and profit: Instance-adaptive data compression T van Rozendaal, IAM Huijben, TS Cohen arXiv preprint arXiv:2101.08687, 2021 | 35 | 2021 |
| Certainty about uncertainty in sleep staging: a theoretical framework H van Gorp, IAM Huijben, P Fonseca, RJG van Sloun, S Overeem, ... Sleep 45 (8), zsac134, 2022 | 22 | 2022 |
| Active deep probabilistic subsampling H Van Gorp, I Huijben, BS Veeling, N Pezzotti, RJG Van Sloun International Conference on Machine Learning, 10509-10518, 2021 | 22 | 2021 |
| Instance-adaptive image and video compression using machine learning systems TJ Van Rozendaal, IAM Huijben, TS Cohen US Patent 11,924,445, 2024 | 21 | 2024 |
| Learning task-based analog-to-digital conversion for MIMO receivers N Shlezinger, RJG Van Sloun, IAM Huijben, G Tsintsadze, YC Eldar ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 20 | 2020 |
| Representations of temporal sleep dynamics: Review and synthesis of the literature LWA Hermans, IAM Huijben, H van Gorp, TRM Leufkens, P Fonseca, ... Sleep Medicine Reviews 63, 101611, 2022 | 14 | 2022 |
| Dynamic probabilistic pruning: A general framework for hardware-constrained pruning at different granularities L Gonzalez-Carabarin, IAM Huijben, B Veeling, A Schmid, RJG van Sloun IEEE Transactions on Neural Networks and Learning Systems 35 (1), 733-744, 2022 | 11 | 2022 |
| Interpretation and further development of the hypnodensity representation of sleep structure IAM Huijben, LWA Hermans, AC Rossi, S Overeem, MM van Gilst, ... Physiological Measurement 44 (1), 015002, 2023 | 8 | 2023 |
| Som-cpc: Unsupervised contrastive learning with self-organizing maps for structured representations of high-rate time series IAM Huijben, AA Nijdam, S Overeem, MM Van Gilst, R Van Sloun International Conference on Machine Learning, 14132-14152, 2023 | 6 | 2023 |
| Contrastive predictive coding for anomaly detection of fetal health from the cardiotocogram IR de Vries, IAM Huijben, RD Kok, RJG van Sloun, R Vullings ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 3 | 2022 |
| Temporal dynamics of awakenings from slow‐wave sleep in non‐rapid eye movement parasomnia IAM Huijben, RJG van Sloun, B Hoondert, S Dujardin, A Pijpers, ... Journal of Sleep Research 33 (3), e14096, 2024 | 2 | 2024 |
| Artificial intelligence based cardiotocogram assessment during labor R Melaet, IR de Vries, RD Kok, SG Oei, IAM Huijben, RJG van Sloun, ... European Journal of Obstetrics & Gynecology and Reproductive Biology 295, 75-85, 2024 | 2 | 2024 |
| Residual Quantization with Implicit Neural Codebooks I Huijben, M Douze, M Muckley, R Van Sloun, J Verbeek arXiv preprint arXiv:2401.14732, 2024 | 2 | 2024 |
| Self-organizing maps for contrastive embeddings of sleep recordings IAM Huijben, AA Nijdam, LWA Hermans, S Overeem, MM Van Gilst, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 2 | 2022 |
| Uncovering sleep structure through discrete representation learning IAM Huijben | | 2024 |
