| Detecting large‐scale networks in the human brain using high‐density electroencephalography Q Liu, S Farahibozorg, C Porcaro, N Wenderoth, D Mantini Human brain mapping 38 (9), 4631-4643, 2017 | 144 | 2017 |
| Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source Localization Q Liu, M Ganzetti, N Wenderoth, D Mantini Frontiers in neuroinformatics 12, 4, 2018 | 103 | 2018 |
| Estimating a neutral reference for electroencephalographic recordings: the importance of using a high-density montage and a realistic head model Q Liu, JH Balsters, M Baechinger, O van der Groen, N Wenderoth, ... Journal of neural engineering 12 (5), 056012, 2015 | 95 | 2015 |
| A real-time EEG-based BCI system for attention recognition in ubiquitous environment Y Li, X Li, M Ratcliffe, L Liu, Y Qi, Q Liu Proceedings of 2011 international workshop on Ubiquitous affective awareness …, 2011 | 90 | 2011 |
| Fluorination Enhances NIR‐II Fluorescence of Polymer Dots for Quantitative Brain Tumor Imaging Y Liu, J Liu, D Chen, X Wang, Z Zhang, Y Yang, L Jiang, W Qi, Z Ye, S He, ... Angewandte Chemie International Edition 59 (47), 21049-21057, 2020 | 83 | 2020 |
| Concurrent tACS-fMRI reveals causal influence of power synchronized neural activity on resting state fMRI connectivity M Bächinger, V Zerbi, M Moisa, R Polania, Q Liu, D Mantini, C Ruff, ... Journal of Neuroscience 37 (18), 4766-4777, 2017 | 69 | 2017 |
| EEGdenoiseNET: A benchmark dataset for deep learning solutions of eeg denoising H Zhang, M Zhao, C Wei, D Mantini, Z Li, Q Liu Journal of Neural Engineering 18 (5), 056057, 2021 | 65 | 2021 |
| Shared and connection-specific intrinsic interactions in the default mode network J Samogin, Q Liu, M Marino, N Wenderoth, D Mantini NeuroImage 200, 474-481, 2019 | 55 | 2019 |
| Adaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI M Marino, Q Liu, V Koudelka, C Porcaro, J Hlinka, N Wenderoth, ... Scientific reports 8 (1), 1-11, 2018 | 48 | 2018 |
| Improving individual identification in security check with an EEG based biometric solution Q Zhao, H Peng, B Hu, Q Liu, L Liu, YB Qi, L Li International Conference on Brain Informatics, 145-155, 2010 | 44 | 2010 |
| Improve affective learning with EEG approach X Li, Q Zhao, B Hu, L Liu, H Peng, Y Qi, C Mao, Z Fang, Q Liu Computing and Informatics 29 (4), 557, 2010 | 44 | 2010 |
| User-centered depression prevention: An EEG approach to pervasive healthcare H Peng, B Hu, Q Liu, Q Dong, Q Zhao, P Moore 2011 5th International Conference on Pervasive Computing Technologies for …, 2011 | 38 | 2011 |
| Neural activity related to volitional regulation of cortical excitability K Ruddy, J Balsters, D Mantini, Q Liu, P Kassraian-Fard, N Enz, E Mihelj, ... eLife 7, e40843, 2018 | 36 | 2018 |
| Automated detection and labeling of high-density EEG electrodes from structural MR images M Marino, Q Liu, S Brem, N Wenderoth, D Mantini Journal of Neural Engineering 13 (5), 056003, 2016 | 35 | 2016 |
| Neural correlates of drug-related attentional bias in heroin dependence Q Zhao, H Li, B Hu, Y Li, CR Gillebert, D Mantini, Q Liu Frontiers in human neuroscience 11, 646, 2018 | 34 | 2018 |
| Neuronal dynamics enable the functional differentiation of resting state networks in the human brain M Marino, Q Liu, J Samogin, F Tecchio, C Cottone, D Mantini, C Porcaro Human brain mapping 40 (5), 1445-1457, 2019 | 32 | 2019 |
| Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review J Yuan, X Ran, K Liu, C Yao, Y Yao, H Wu, Q Liu Journal of neuroscience methods, 109441, 2021 | 27 | 2021 |
| A real-time electroencephalogram (EEG) based individual identification interface for mobile security in ubiquitous environment B Hu, Q Liu, Q Zhao, Y Qi, H Peng 2011 IEEE Asia-Pacific Services Computing Conference, 436-441, 2011 | 25 | 2011 |
| A novel convolutional neural network model to remove muscle artifacts from EEG H Zhang, C Wei, M Zhao, Q Liu, H Wu ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 24 | 2021 |
| Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation X Ran, M Xu, L Mei, Q Xu, Q Liu Neural Networks 145, 199-208, 2022 | 23 | 2022 |
Dante MantiniResearch Professor, KU LeuvenVerified email at kuleuven.be
