| The in-the-ear recording concept: User-centered and wearable brain monitoring D Looney, P Kidmose, C Park, M Ungstrup, ML Rank, K Rosenkranz, ... IEEE pulse 3 (6), 32-42, 2012 | 306 | 2012 |
| Classification of motor imagery BCI using multivariate empirical mode decomposition C Park, D Looney, N ur Rehman, A Ahrabian, DP Mandic IEEE Transactions on neural systems and rehabilitation engineering 21 (1), 10-22, 2012 | 301 | 2012 |
| EMD via MEMD: multivariate noise-aided computation of standard EMD N ur Rehman, C Park, NE Huang, DP Mandic Advances in adaptive data analysis 5 (02), 1350007, 2013 | 204 | 2013 |
| Machine learning in biomedical engineering C Park, CC Took, JK Seong Biomedical Engineering Letters 8, 1-3, 2018 | 164 | 2018 |
| End-to-end deep learning architecture for continuous blood pressure estimation using attention mechanism H Eom, D Lee, S Han, YS Hariyani, Y Lim, I Sohn, K Park, C Park Sensors 20 (8), 2338, 2020 | 127 | 2020 |
| Time-frequency analysis of EEG asymmetry using bivariate empirical mode decomposition C Park, D Looney, P Kidmose, M Ungstrup, DP Mandic IEEE Transactions on Neural Systems and Rehabilitation Engineering 19 (4 …, 2011 | 116 | 2011 |
| Deep ECGNet: An optimal deep learning framework for monitoring mental stress using ultra short-term ECG signals B Hwang, J You, T Vaessen, I Myin-Germeys, C Park, BT Zhang TELEMEDICINE and e-HEALTH 24 (10), 753-772, 2018 | 112 | 2018 |
| Motor imagery classification using mu and beta rhythms of EEG with strong uncorrelating transform based complex common spatial patterns Y Kim, J Ryu, KK Kim, CC Took, DP Mandic, C Park Computational intelligence and neuroscience 2016 (1), 1489692, 2016 | 109 | 2016 |
| Flow-based malware detection using convolutional neural network M Yeo, Y Koo, Y Yoon, T Hwang, J Ryu, J Song, C Park 2018 International Conference on Information Networking (ICOIN), 910-913, 2018 | 108 | 2018 |
| An in-the-ear platform for recording electroencephalogram D Looney, C Park, P Kidmose, ML Rank, M Ungstrup, K Rosenkranz, ... 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 106 | 2011 |
| Augmented complex common spatial patterns for classification of noncircular EEG from motor imagery tasks C Park, CC Took, DP Mandic IEEE Transactions on neural systems and rehabilitation engineering 22 (1), 1-10, 2013 | 96 | 2013 |
| PC-based tele-audiometry JM Choi, HB Lee, CS Park, SH Oh, KS Park Telemedicine and e-Health 13 (5), 501-508, 2007 | 89 | 2007 |
| A 64-Mbit, 640-Mbyte/s bidirectional data strobed, double-data-rate SDRAM with a 40-mW DLL for a 256-Mbyte memory system CH Kim, JH Lee, JB Lee, BS Kim, CS Park, SB Lee, SY Lee, CW Park, ... IEEE Journal of Solid-State Circuits 33 (11), 1703-1710, 1998 | 77 | 1998 |
| The complex local mean decomposition C Park, D Looney, MM Van Hulle, DP Mandic Neurocomputing 74 (6), 867-875, 2011 | 75 | 2011 |
| Hearing aid adapted for detecting brain waves and a method for adapting such a hearing aid P Kidmose, DP Mandic, M Ungstrup, D Looney, C Park, ML Rank US Patent 9,025,800, 2015 | 67 | 2015 |
| Flexible and printed PPG sensors for estimation of drowsiness GS Ryu, J You, V Kostianovskii, EB Lee, Y Kim, C Park, YY Noh IEEE Transactions on Electron Devices 65 (7), 2997-3004, 2018 | 58 | 2018 |
| Beat-to-beat continuous blood pressure estimation using bidirectional long short-term memory network D Lee, H Kwon, D Son, H Eom, C Park, Y Lim, C Seo, K Park Sensors 21 (1), 96, 2020 | 50 | 2020 |
| Systems and methods for sensory and cognitive profiling TP Coleman, R Ma, S Kim, C Park, RG Da Costa, R Fung, D Mesa US Patent 9,886,493, 2018 | 45 | 2018 |
| Deep learning approach for detecting work-related stress using multimodal signals W Seo, N Kim, C Park, SM Park IEEE Sensors Journal 22 (12), 11892-11902, 2022 | 42 | 2022 |
| Self-adhesive and capacitive carbon nanotube-based electrode to record electroencephalograph signals from the hairy scalp SM Lee, JH Kim, C Park, JY Hwang, JS Hong, KH Lee, SH Lee IEEE Transactions on Biomedical Engineering 63 (1), 138-147, 2015 | 41 | 2015 |
Danilo MandicProf. of Machine Intelligence, Dept of Electrical and Electronic Eng., Imperial College London, UKEmail verificata su imperial.ac.uk