| Automated epileptic seizure detection based on wearable ECG and PPG in a hospital environment K Vandecasteele, T De Cooman, Y Gu, E Cleeren, K Claes, ... Sensors 17 (10), 2338, 2017 | 201 | 2017 |
| Mobile EEG on the bike: disentangling attentional and physical contributions to auditory attention tasks R Zink, B Hunyadi, S Van Huffel, M De Vos Journal of neural engineering 13 (4), 046017, 2016 | 153 | 2016 |
| Comparison between scalp EEG and behind-the-ear EEG for development of a wearable seizure detection system for patients with focal epilepsy Y Gu, E Cleeren, J Dan, K Claes, W Van Paesschen, S Van Huffel, ... Sensors 18 (1), 29, 2017 | 134 | 2017 |
| Block term decomposition for modelling epileptic seizures B Hunyadi, D Camps, L Sorber, WV Paesschen, MD Vos, SV Huffel, ... EURASIP Journal on Advances in Signal Processing 2014, 1-19, 2014 | 92 | 2014 |
| Nonconvulsive epileptic seizure detection in scalp EEG using multiway data analysis YR Aldana, B Hunyadi, EJM Reyes, VR Rodriguez, S Van Huffel IEEE journal of biomedical and health informatics 23 (2), 660-671, 2018 | 81 | 2018 |
| Incorporating structural information from the multichannel EEG improves patient-specific seizure detection B Hunyadi, M Signoretto, W Van Paesschen, S Van Huffel, JAK Suykens, ... Clinical Neurophysiology, 2012 | 78 | 2012 |
| Visual seizure annotation and automated seizure detection using behind‐the‐ear electroencephalographic channels K Vandecasteele, T De Cooman, J Dan, E Cleeren, S Van Huffel, ... Epilepsia 61 (4), 766-775, 2020 | 77 | 2020 |
| Tensor decompositions and data fusion in epileptic electroencephalography and functional magnetic resonance imaging data B Hunyadi, P Dupont, W Van Paesschen, S Van Huffel Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 (1 …, 2017 | 76 | 2017 |
| Online automated seizure detection in temporal lobe epilepsy patients using single-lead ECG T De Cooman, C Varon, B Hunyadi, W Van Paesschen, L Lagae, ... International journal of neural systems 27 (07), 1750022, 2017 | 66 | 2017 |
| Automated analysis of brain activity for seizure detection in zebrafish models of epilepsy B Hunyadi, A Siekierska, J Sourbron, D Copmans, PAM de Witte Journal of Neuroscience Methods 287, 13-24, 2017 | 53 | 2017 |
| The power of ECG in multimodal patient‐specific seizure monitoring: added value to an EEG‐based detector using limited channels K Vandecasteele, T De Cooman, C Chatzichristos, E Cleeren, L Swinnen, ... Epilepsia 62 (10), 2333-2343, 2021 | 52 | 2021 |
| A dynamic system of brain networks revealed by fast transient EEG fluctuations and their fMRI correlates B Hunyadi, MW Woolrich, AJ Quinn, D Vidaurre, M De Vos Neuroimage 185, 72-82, 2019 | 52 | 2019 |
| Testing for the presence of correlation changes in a multivariate time series: A permutation based approach J Cabrieto, F Tuerlinckx, P Kuppens, B Hunyadi, E Ceulemans Scientific reports 8 (1), 769, 2018 | 49 | 2018 |
| Personalizing heart rate-based seizure detection using supervised SVM transfer learning T De Cooman, K Vandecasteele, C Varon, B Hunyadi, E Cleeren, ... Frontiers in neurology 11, 145, 2020 | 47 | 2020 |
| Zebrafish-Based Screening of Antiseizure Plants Used in Traditional Chinese Medicine: Magnolia officinalis Extract and Its Constituents Magnolol and Honokiol … J Li, D Copmans, M Partoens, B Hunyadi, W Luyten, P de Witte ACS chemical neuroscience 11 (5), 730-742, 2020 | 44 | 2020 |
| A prospective fMRI-based technique for localising the epileptogenic zone in presurgical evaluation of epilepsy B Hunyadi, S Tousseyn, P Dupont, S Van Huffel, M De Vos, ... Neuroimage 113, 329-339, 2015 | 42 | 2015 |
| ICA extracts epileptic sources from fMRI in EEG-negative patients: a retrospective validation study B Hunyadi, S Tousseyn, B Mijović, P Dupont, S Van Huffel, ... PloS one 8 (11), e78796, 2013 | 32 | 2013 |
| Tensor-based classification of an auditory mobile BCI without a subject-specific calibration phase R Zink, B Hunyadi, S Van Huffel, M De Vos Journal of neural engineering 13 (2), 026005, 2016 | 30 | 2016 |
| Flexible fusion of electroencephalography and functional magnetic resonance imaging: Revealing neural-hemodynamic coupling through structured matrix-tensor factorization S Van Eyndhoven, B Hunyadi, L De Lathauwer, S Van Huffel 2017 25th European Signal Processing Conference (EUSIPCO), 26-30, 2017 | 26 | 2017 |
| Fusion of electroencephalography and functional magnetic resonance imaging to explore epileptic network activity B Hunyadi, W Van Paesschen, M De Vos, S Van Huffel 2016 24th European Signal Processing Conference (EUSIPCO), 240-244, 2016 | 25 | 2016 |
Sabine Van HuffelKU LeuvenBestätigte E-Mail-Adresse bei esat.kuleuven.be
