| SeqSleepNet: end-to-end hierarchical recurrent neural network for sequence-to-sequence automatic sleep staging H Phan, F Andreotti, N Cooray, OY Chén, M De Vos IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (3 …, 2019 | 449 | 2019 |
| Joint classification and prediction CNN framework for automatic sleep stage classification H Phan, F Andreotti, N Cooray, OY Chén, M De Vos IEEE Transactions on Biomedical Engineering 66 (5), 1285-1296, 2018 | 407 | 2018 |
| Comparing feature-based classifiers and convolutional neural networks to detect arrhythmia from short segments of ECG F Andreotti, O Carr, MAF Pimentel, A Mahdi, M De Vos 2017 computing in cardiology (CINC), 1-4, 2017 | 183 | 2017 |
| An open-source framework for stress-testing non-invasive foetal ECG extraction algorithms F Andreotti, J Behar, S Zaunseder, J Oster, GD Clifford Physiological measurement 37 (5), 627, 2016 | 167 | 2016 |
| A practical guide to non-invasive foetal electrocardiogram extraction and analysis J Behar, F Andreotti, S Zaunseder, J Oster, GD Clifford Physiological measurement 37 (5), R1, 2016 | 158 | 2016 |
| Automatic sleep stage classification using single-channel eeg: Learning sequential features with attention-based recurrent neural networks H Phan, F Andreotti, N Cooray, OY Chén, M De Vos 2018 40th annual international conference of the IEEE engineering in …, 2018 | 144 | 2018 |
| Robust fetal ECG extraction and detection from abdominal leads F Andreotti, M Riedl, T Himmelsbach, D Wedekind, N Wessel, H Stepan, ... Physiological measurement 35 (8), 1551, 2014 | 126 | 2014 |
| An ECG simulator for generating maternal-foetal activity mixtures on abdominal ECG recordings J Behar, F Andreotti, S Zaunseder, Q Li, J Oster, GD Clifford Physiological measurement 35 (8), 1537, 2014 | 125 | 2014 |
| Multimodal heart beat detection using signal quality indices AEW Johnson, J Behar, F Andreotti, GD Clifford, J Oster Physiological measurement 36 (8), 1665, 2015 | 103 | 2015 |
| Early risk assessment for COVID-19 patients from emergency department data using machine learning FS Heldt, MP Vizcaychipi, S Peacock, M Cinelli, L McLachlan, F Andreotti, ... Scientific reports 11 (1), 4200, 2021 | 98 | 2021 |
| Multichannel sleep stage classification and transfer learning using convolutional neural networks F Andreotti, H Phan, N Cooray, C Lo, MTM Hu, M De Vos 2018 40th annual international conference of the IEEE engineering in …, 2018 | 97 | 2018 |
| DNN filter bank improves 1-max pooling CNN for single-channel EEG automatic sleep stage classification H Phan, F Andreotti, N Cooray, OY Chén, M De Vos 2018 40th annual international conference of the IEEE engineering in …, 2018 | 93 | 2018 |
| Detection of REM sleep behaviour disorder by automated polysomnography analysis N Cooray, F Andreotti, C Lo, M Symmonds, MTM Hu, M De Vos Clinical Neurophysiology 130 (4), 505-514, 2019 | 83 | 2019 |
| Remote health diagnosis and monitoring in the time of COVID-19 JA Behar, C Liu, K Kotzen, K Tsutsui, VDA Corino, J Singh, MAF Pimentel, ... Physiological measurement 41 (10), 10TR01, 2020 | 78 | 2020 |
| Multi-source ensemble learning for the remote prediction of Parkinson's disease in the presence of source-wise missing data J Prince, F Andreotti, M De Vos IEEE Transactions on Biomedical Engineering 66 (5), 1402-1411, 2018 | 78 | 2018 |
| Monitoring fetal maturation—objectives, techniques and indices of autonomic function D Hoyer, J Żebrowski, D Cysarz, H Gonçalves, A Pytlik, C Amorim-Costa, ... Physiological measurement 38 (5), R61, 2017 | 75 | 2017 |
| Non-invasive fetal ECG signal quality assessment for multichannel heart rate estimation F Andreotti, F Gräßer, H Malberg, S Zaunseder IEEE Transactions on Biomedical Engineering 64 (12), 2793-2802, 2017 | 63 | 2017 |
| R-Peak Estimation using Multimodal Lead Switching AEW Johnson, J Behar, F Andreotti, GD Clifford, J Oster Computing in Cardiology Conference (CinC), 281-284, 2014 | 63 | 2014 |
| Maternal signal estimation by Kalman filtering and template adaptation for fetal heart rate extraction F Andreotti, M Riedl, T Himmelsbach, D Wedekind, S Zaunseder, ... Computing in Cardiology 2013, 193-196, 2013 | 50 | 2013 |
| Visualising Convolutional Neural Network Decisions in Automated Sleep Scoring⋆ F Andreotti, H Phan, M De Vos Joint Workshop on Artificial Intelligence in Health, ICML, 70-81, 2018 | 34 | 2018 |
Maarten De VosESAT - Stadius & Department of Development and Regeneration, KU Leuven, BelgiumBestätigte E-Mail-Adresse bei kuleuven.be
