| ICLabel: An automated electroencephalographic independent component classifier, dataset, and website L Pion-Tonachini, K Kreutz-Delgado, S Makeig NeuroImage 198, 181-197, 2019 | 1163 | 2019 |
| Evaluation of artifact subspace reconstruction for automatic artifact components removal in multi-channel EEG recordings CY Chang, SH Hsu, L Pion-Tonachini, TP Jung IEEE Transactions on Biomedical Engineering 67 (4), 1114-1121, 2019 | 359 | 2019 |
| Evaluation of artifact subspace reconstruction for automatic EEG artifact removal CY Chang, SH Hsu, L Pion-Tonachini, TP Jung 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 290 | 2018 |
| The ICLabel dataset of electroencephalographic (EEG) independent component (IC) features L Pion-Tonachini, K Kreutz-Delgado, S Makeig Data in brief 25, 104101, 2019 | 91 | 2019 |
| Modeling brain dynamic state changes with adaptive mixture independent component analysis SH Hsu, L Pion-Tonachini, J Palmer, M Miyakoshi, S Makeig, TP Jung NeuroImage 183, 47-61, 2018 | 80 | 2018 |
| Crowd labeling latent Dirichlet allocation L Pion-Tonachini, S Makeig, K Kreutz-Delgado Knowledge and information systems 53, 749-765, 2017 | 66 | 2017 |
| Online automatic artifact rejection using the real-time EEG source-mapping toolbox (REST) L Pion-Tonachini, SH Hsu, CY Chang, TP Jung, S Makeig 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 50 | 2018 |
| Real-time eeg source-mapping toolbox (rest): Online ica and source localization L Pion-Tonachini, SH Hsu, S Makeig, TP Jung, G Cauwenberghs 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 38 | 2015 |
| An optical-coding method to measure particle distribution in microfluidic devices TF Wu, Z Mei, L Pion-Tonachini, C Zhao, W Qiao, A Arianpour, YH Lo AIP advances 1 (2), 2011 | 18 | 2011 |
| Applying an optical space-time coding method to enhance light scattering signals in microfluidic devices Z Mei, TF Wu, L Pion-Tonachini, W Qiao, C Zhao, Z Liu, YH Lo Biomicrofluidics 5 (3), 2011 | 17 | 2011 |
| Learning from learning machines: a new generation of AI technology to meet the needs of science L Pion-Tonachini, K Bouchard, HG Martin, S Peisert, WB Holtz, A Aswani, ... arXiv preprint arXiv:2111.13786, 2021 | 10 | 2021 |
| Tracking non-stationary EEG sources using adaptive online recursive independent component analysis SH Hsu, L Pion-Tonachini, TP Jung, G Cauwenberghs 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 10 | 2015 |
| Source separation and localization of individual superficial forearm extensor muscles using high-density surface electromyography B Su, S Shirafuji, T Oya, Y Ogata, T Funato, N Yoshimura, ... 2016 International Symposium on Micro-NanoMechatronics and Human Science …, 2016 | 9 | 2016 |
| Furthering the Automation of Electroencephalographic Source Analysis L Pion-Tonachini University of California, San Diego, 2019 | | 2019 |
| Microfluidic flow cytometer utilizing optical space-time coding technique TF Wu, Z Mei, L Pion-Tonachini, YH Lo IEEE Photonic Society 24th Annual Meeting, 483-484, 2011 | | 2011 |
| Generative Steady-State Visual Evoked Potential Models CS Wei, L Pion-Tonachini, EY Chung, P Limsakul Cerebral Cortex 24, 25, 0 | | |
| AN OPTICAL-CODING METHOD FOR SCATTERING SIGNAL DETECTION IN MICROFLUIDIC CYTOMETERS TF Wu, Z Mei, L Pion-Tonachini, C Zhao, W Qiao, A Arianpour, YH Lo | | |
