| Unmixing oscillatory brain activity by EEG source localization and empirical mode decomposition ST Hansen, A Hemakom, M Gylling Safeldt, LK Krohne, KH Madsen, ... Computational intelligence and neuroscience 2019 (1), 5618303, 2019 | 23 | 2019 |
| Data-driven forward model inference for EEG brain imaging ST Hansen, S Hauberg, LK Hansen NeuroImage 139, 249-258, 2016 | 20 | 2016 |
| Real-time decoding of attentional states using closed-loop EEG neurofeedback G Tuckute, ST Hansen, TW Kjaer, LK Hansen Neural Computation 33 (4), 967-1004, 2021 | 16 | 2021 |
| Spatio-temporal reconstruction of brain dynamics from EEG with a Markov prior ST Hansen, LK Hansen NeuroImage 148, 274-283, 2017 | 14 | 2017 |
| Single‐Trial Decoding of Scalp EEG under Natural Conditions G Tuckute, ST Hansen, N Pedersen, D Steenstrup, LK Hansen Computational Intelligence and Neuroscience 2019 (1), 9210785, 2019 | 12 | 2019 |
| Sparse source EEG imaging with the variational garrote ST Hansen, C Stahlhut, LK Hansen 2013 International Workshop on Pattern Recognition in Neuroimaging, 106-109, 2013 | 8 | 2013 |
| EEG source imaging assists decoding in a face recognition task RS Andersen, AU Eliasen, N Pedersen, MR Andersen, ST Hansen, ... 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 7 | 2017 |
| Expansion of the variational garrote to a multiple measurement vectors model ST Hansen, C Stahlhut, LK Hansen Twelfth Scandinavian Conference on Artificial Intelligence, 105-114, 2013 | 6 | 2013 |
| Sparse EEG imaging ST Hansen Master’s Thesis, 2013 | 3 | 2013 |
| A framework for closed-loop neurofeedback for real-time EEG decoding G Tuckute, ST Hansen, TW Kjaer, LK Hansen BioRxiv, 834713, 2019 | 2 | 2019 |
| Fusing simultaneous EEG and fMRI using functional and anatomical information ST Hansen, I Winkler, LK Hansen, KR Müller, S Dähne 2015 International Workshop on Pattern Recognition in NeuroImaging, 33-36, 2015 | 2 | 2015 |
| EEG source reconstruction performance as a function of skull conductance contrast. ST Hansen, LK Hansen IEEE International Conference on Acoustics, Speech and Signal Processing …, 2015 | 2 | 2015 |
| Learning the solution sparsity of an ill-posed linear inverse problem with the variational garrote MR Andersen, ST Hansen, LK Hansen 2013 IEEE International Workshop on Machine Learning for Signal Processing …, 2013 | 2 | 2013 |
| Mobile real-time EEG imaging Bayesian inference with sparse, temporally smooth source priors LK Hansen, ST Hansen, C Stahlhut 2013 International Winter Workshop on Brain-Computer Interface (BCI), 6-7, 2013 | 2 | 2013 |
| EEG Based Inference of Spatio-Temporal Brain Dynamics ST Hansen Technical University of Denmark, 2017 | 1 | 2017 |
| EEG source reconstruction using sparse basis function representations. ST Hansen, LK Hansen International IEEE Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2014 | 1 | 2014 |
| EEG Sequence Imaging: A Markov Prior for the Variational Garrote ST Hansen, LK Hansen Proceedings of the 3rd NIPS 2013 Workshop on Machine Learning and …, 2013 | 1 | 2013 |
| Single-Trial Decoding of Scalp EEG Under Naturalistic Stimuli G Tuckute, ST Hansen, N Pedersen, D Steenstrup, LK Hansen bioRxiv, 481630, 2018 | | 2018 |
| Forward Models can be Inferred from EEG Data ST Hansen, S Hauberg, LK Hansen 22nd Annual Meeting of the Organization for Human Brain Mapping, 2016 | | 2016 |
| Sparse source EEG imaging with fixed temporal support and basis functions ST Hansen, LK Hansen International Conference on Artificial Intelligence and Statistics (AISTATS), 1, 2014 | | 2014 |
Lars Kai HansenProfessor, Cognitive Systems, DTU Compute, Technical University of DenmarkVerified email at dtu.dk
