| Automated detection and classification of patient–ventilator asynchrony by means of machine learning and simulated data T Bakkes, A van Diepen, A De Bie, L Montenij, F Mojoli, A Bouwman, ... Computer Methods and Programs in Biomedicine 230, 107333, 2023 | 10 | 2023 |
| A model-based approach to generating annotated pressure support waveforms A van Diepen, THGF Bakkes, AJR De Bie, S Turco, RA Bouwman, ... Journal of Clinical Monitoring and Computing 36 (6), 1739-1752, 2022 | 7 | 2022 |
| A model-based approach to synthetic data set generation for patient-ventilator waveforms for machine learning and educational use A van Diepen, THGF Bakkes, AJR De Bie, S Turco, RA Bouwman, ... arXiv preprint arXiv:2103.15684, 2021 | 7 | 2021 |
| Variational stabilized linear forgetting in state-space models T Van De Laar, M Cox, A van Diepen, B de Vries 2017 25th European Signal Processing Conference (EUSIPCO), 818-822, 2017 | 2 | 2017 |
| Evaluation of the accuracy of established patient inspiratory effort estimation methods during mechanical support ventilation A van Diepen, T Bakkes, AJR De Bie, S Turco, RA Bouwman, PH Woerlee, ... Heliyon 9 (2), 2023 | 1 | 2023 |
| An in-situ trainable gesture classifier A van Diepen, MGH Cox, A de Vries Annual machine learning conference of the Benelux (Benelearn 2017), 66-68, 2017 | 1 | 2017 |
| An Adversarial Learning Approach to Generate Pressure Support Ventilation Waveforms for Asynchrony Detection L Hao, T Bakkes, A van Diepen, N Chennakeshava, RA Bouwman, ... Computer Methods and Programs in Biomedicine, 108175, 2024 | | 2024 |
| Detecting inspiratory holds in bedside waveforms using a probabilistic modeling approach A van Diepen arXiv preprint arXiv:2001.11908, 2020 | | 2020 |
| Towards modelling of patient-ventilator interactions using model based methods A van Diepen, THGF Bakkes, PH Woerlee 18th National Day on Biomedical Engineering: Artificial Intelligence in …, 2019 | | 2019 |
| A probabilistic modeling approach to one-shot gesture recognition A van Diepen, M Cox, B de Vries arXiv preprint arXiv:1806.11408, 2018 | | 2018 |
| A Probabilistic Modeling Approach to In-situ Trainable Gesture Recognition A van Diepen | | 2017 |
| Variational Stabilized Linear Forgetting in State-Space Models (Supplementary Material) T van de Laar, M Cox, A van Diepen, B de Vries | | 2017 |
| An Adversarial Learning Approach to Generate Pressure Support Ventilation Waveforms for Asynchrony L Hao, T Bakkes, A van Diepen, N Chennakeshava, RA Bouwman, ... Available at SSRN 4673073, 0 | | |
| Improving detection of patient ventilator asynchrony by deep learning through data augmentation based on modeling of pressure support ventilation T Bakkes, A van Diepen, M Mischi, P Woerlee, S Turco | | |
| An In-situ Trainable Gesture Classifier B de Vries Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on …, 0 | | |
Massimo MischiAssociate Professor, Biomedical signal analysis, Eindhoven University of TechnologyVerified email at tue.nl
