| Frontal alpha oscillations distinguish leaders from followers: multivariate decoding of mutually interacting brains I Konvalinka, M Bauer, C Stahlhut, LK Hansen, A Roepstorff, CD Frith Neuroimage 94, 79-88, 2014 | 259 | 2014 |
| A neural marker of perceptual consciousness in infants S Kouider, C Stahlhut, SV Gelskov, LS Barbosa, M Dutat, V De Gardelle, ... Science 340 (6130), 376-380, 2013 | 236 | 2013 |
| The smartphone brain scanner: a portable real-time neuroimaging system A Stopczynski, C Stahlhut, JE Larsen, MK Petersen, LK Hansen PloS one 9 (2), e86733, 2014 | 148 | 2014 |
| Frontal brain asymmetry and willingness to pay TZ Ramsøy, M Skov, MK Christensen, C Stahlhut Frontiers in neuroscience 12, 138, 2018 | 141 | 2018 |
| Smartphones as pocketable labs: Visions for mobile brain imaging and neurofeedback A Stopczynski, C Stahlhut, MK Petersen, JE Larsen, CF Jensen, ... International journal of psychophysiology 91 (1), 54-66, 2014 | 105 | 2014 |
| Task-specific modulation of effective connectivity during two simple unimanual motor tasks: a 122-channel EEG study DM Herz, MS Christensen, C Reck, E Florin, MT Barbe, C Stahlhut, ... Neuroimage 59 (4), 3187-3193, 2012 | 59 | 2012 |
| Smartphones get emotional: mind reading images and reconstructing the neural sources MK Petersen, C Stahlhut, A Stopczynski, JE Larsen, LK Hansen Affective Computing and Intelligent Interaction: Fourth International …, 2011 | 56 | 2011 |
| A smartphone interface for a wireless EEG headset with real-time 3D reconstruction A Stopczynski, JE Larsen, C Stahlhut, MK Petersen, LK Hansen International Conference on Affective Computing and Intelligent Interaction …, 2011 | 38 | 2011 |
| Simultaneous EEG source and forward model reconstruction (sofomore) using a hierarchical bayesian approach C Stahlhut, M Mørup, O Winther, LK Hansen Journal of Signal Processing Systems 65, 431-444, 2011 | 18 | 2011 |
| Deorphanizing peptides using structure prediction F Teufel, JC Refsgaard, MA Kasimova, K Deibler, CT Madsen, C Stahlhut, ... Journal of chemical information and modeling 63 (9), 2651-2655, 2023 | 16 | 2023 |
| A Hierarchical Bayesian M/EEG Imaging Method Correcting for Incomplete Spatio-Temporal Priors C Stahlhut, HT Attias, K Sekihara, D Wipf, LK Hansen, SS Nagarajan IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013), 2013 | 16 | 2013 |
| Spatio temporal media components for neurofeedback CBF Jensen, MK Petersen, JE Larsen, A Stopczynski, C Stahlhut, ... 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2013 | 10 | 2013 |
| 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 |
| 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 spatio-temporal inference of electromagnetic brain sources C Stahlhut, HT Attias, D Wipf, LK Hansen, SS Nagarajan Machine Learning in Medical Imaging: First International Workshop, MLMI 2010 …, 2010 | 6 | 2010 |
| SOFOMORE: Combined EEG source and forward model reconstruction C Stahlhut, M Morup, O Winther, LK Hansen 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009 | 6 | 2009 |
| Probabilistic M/EEG source imaging from sparse spatio-temporal event structure C Stahlhut, HT Attias, D Wipf, LK Hansen, SS Nagarajan 2nd NIPS Workshop on Machine Learning and Interpretation in NeuroImaging …, 2012 | 5 | 2012 |
| An Evaluation of EEG Scanner's Dependence on the Imaging Technique, Forward Model Computation Method, and Array Dimensionality C Stahlhut, HT Attias, A Stopczynski, MK Petersen, JE Larsen, Hansen, ... 34th Annual International Conference of the IEEE Engineering in Medicine …, 2012 | 4 | 2012 |
| Hierarchical Bayesian model for simultaneous EEG source and forward model reconstruction (SOFOMORE) C Stahlhut, M Morup, O Winther, LK Hansen 2009 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2009 | 4 | 2009 |
| Probabilistic thermal stability prediction through sparsity promoting transformer representation Y Zainchkovskyy, J Ferkinghoff-Borg, A Bennett, T Egebjerg, N Lorenzen, ... arXiv preprint arXiv:2211.05698, 2022 | 3 | 2022 |
Lars Kai HansenProfessor, Cognitive Systems, DTU Compute, Technical University of DenmarkVerified email at dtu.dk
