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ORCIDSofie Therese Hansen
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2020 – today
- 2021
[j5]Greta Tuckute, Sofie Therese Hansen, Troels Wesenberg Kjaer, Lars Kai Hansen:
Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback. Neural Comput. 33(4): 967-1004 (2021)
2010 – 2019
- 2019
- [j4]Sofie Therese Hansen
, Apit Hemakom, Mads Gylling Safeldt, Lærke Karen Krohne, Kristoffer Hougaard Madsen, Hartwig R. Siebner, Danilo P. Mandic, Lars Kai Hansen:
Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition. Comput. Intell. Neurosci. 2019: 5618303:1-5618303:15 (2019) - [j3]Greta Tuckute, Sofie Therese Hansen, Nicolai Pedersen, Dea Steenstrup, Lars Kai Hansen:
Single-Trial Decoding of Scalp EEG under Natural Conditions. Comput. Intell. Neurosci. 2019: 9210785:1-9210785:11 (2019) - 2017
- [b1]Sofie Therese Hansen:
EEG Based Inference of Spatio-Temporal Brain Dynamics. Technical University of Denmark, 2017 - [j2]Sofie Therese Hansen, Lars Kai Hansen:
Spatio-temporal reconstruction of brain dynamics from EEG with a Markov prior. NeuroImage 148: 274-283 (2017) - [c8]Rasmus S. Andersen, Anders U. Eliasen, Nicolai Pedersen, Michael Riis Andersen, Sofie Therese Hansen, Lars Kai Hansen:
EEG source imaging assists decoding in a face recognition task. ICASSP 2017: 939-943 - 2016
- [j1]Sofie Therese Hansen, Søren Hauberg, Lars Kai Hansen:
Data-driven forward model inference for EEG brain imaging. NeuroImage 139: 249-258 (2016) - 2015
- [c7]Sofie Therese Hansen, Lars Kai Hansen:
EEG source reconstruction performance as a function of skull conductance contrast. ICASSP 2015: 827-831 - [c6]Sofie Therese Hansen, Irene Winkler, Lars Kai Hansen, Klaus-Robert Müller, Sven Dähne:
Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information. PRNI 2015: 33-36 - 2014
- [c5]Sofie Therese Hansen, Lars Kai Hansen:
EEG source reconstruction using sparse basis function representations. PRNI 2014: 1-4 - 2013
- [c4]Lars Kai Hansen, Sofie Therese Hansen, Carsten Stahlhut:
Mobile real-time EEG imaging Bayesian inference with sparse, temporally smooth source priors. BCI 2013: 6-7 - [c3]Michael Riis Andersen, Sofie Therese Hansen, Lars Kai Hansen:
Learning the solution sparsity of an ill-posed linear inverse problem with the Variational Garrote. MLSP 2013: 1-6 - [c2]Sofie Therese Hansen, Carsten Stahlhut, Lars Kai Hansen:
Sparse Source EEG Imaging with the Variational Garrote. PRNI 2013: 106-109 - [c1]Sofie Therese Hansen, Carsten Stahlhut, Lars Kai Hansen:
Expansion of the Variational Garrote to a Multiple Measurement Vectors Model. SCAI 2013: 105-114
Coauthor Index
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