Schirrmeister R[au] - Search Results

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Year	Number of Results
2017	1
2019	1
2020	1
2022	1

Page 1

Machine-learning-based diagnostics of EEG pathology.

Gemein LAW, Schirrmeister RT, Chrabąszcz P, Wilson D, Boedecker J, Schulze-Bonhage A, Hutter F, Ball T. Gemein LAW, et al. Among authors: schirrmeister rt. Neuroimage. 2020 Oct 15;220:117021. doi: 10.1016/j.neuroimage.2020.117021. Epub 2020 Jun 10. Neuroimage. 2020. PMID: 32534126 Free article.

Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression.

Fiederer LDJ, Völker M, Schirrmeister RT, Burgard W, Boedecker J, Ball T. Fiederer LDJ, et al. Among authors: schirrmeister rt. Front Neurorobot. 2019 Oct 10;13:76. doi: 10.3389/fnbot.2019.00076. eCollection 2019. Front Neurorobot. 2019. PMID: 31649523 Free PMC article.

Interpretable functional specialization emerges in deep convolutional networks trained on brain signals.

Hammer J, Schirrmeister RT, Hartmann K, Marusic P, Schulze-Bonhage A, Ball T. Hammer J, et al. Among authors: schirrmeister rt. J Neural Eng. 2022 May 9;19(3). doi: 10.1088/1741-2552/ac6770. J Neural Eng. 2022. PMID: 35421857

Deep learning with convolutional neural networks for EEG decoding and visualization.

Schirrmeister RT, Springenberg JT, Fiederer LDJ, Glasstetter M, Eggensperger K, Tangermann M, Hutter F, Burgard W, Ball T. Schirrmeister RT, et al. Hum Brain Mapp. 2017 Nov;38(11):5391-5420. doi: 10.1002/hbm.23730. Epub 2017 Aug 7. Hum Brain Mapp. 2017. PMID: 28782865 Free PMC article.

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