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2020 – today
- 2024
[j4]Alexander Broll
, Martin Rosentritt, Thomas Schlegl, Markus Goldhacker:
A data-driven approach for the partial reconstruction of individual human molar teeth using generative deep learning. Frontiers Artif. Intell. 7 (2024)- 2021
- [j3]Simon Wein, Gustavo Deco, Ana Maria Tomé, Markus Goldhacker, Wilhelm M. Malloni, Mark W. Greenlee, Elmar Wolfgang Lang:
Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning. Comput. Intell. Neurosci. 2021: 5573740:1-5573740:31 (2021) - 2020
- [c2]René Wöstmann, Philipp Schlunder, Fabian Temme, Ralf Klinkenberg, Josef Kimberger, Andrea Spichtinger, Markus Goldhacker, Jochen Deuse:
Conception of a Reference Architecture for Machine Learning in the Process Industry. IEEE BigData 2020: 1726-1735
2010 – 2019
- 2019
- [c1]Simon Wein, Ana Maria Tomé, Markus Goldhacker, Mark W. Greenlee, Elmar Wolfgang Lang:
Hybridizing EMD with cICA for fMRI Analysis of Patient Groups. EMBC 2019: 194-197 - [i1]Simon Wein, Ana Maria Tomé, Markus Goldhacker, Mark W. Greenlee, Elmar Wolfgang Lang:
A constrained ICA-EMD Model for Group Level fMRI Analysis. CoRR abs/1903.09412 (2019) - 2017
- [b1]Markus Goldhacker:
Frequency-resolved dynamic functional connectivity and scale stability of connectivity-states. University of Regensburg, Germany, 2017 - [j2]Markus Goldhacker, P. Keck, A. Igel, Elmar Wolfgang Lang, Ana Maria Tomé:
A multi-variate blind source separation algorithm. Comput. Methods Programs Biomed. 151: 91-99 (2017) - 2016
- [j1]Marie-Christin Fellner, Gregor Volberg, Karen J. Mullinger, Markus Goldhacker, Maria Wimber, Mark W. Greenlee, Simon Hanslmayr:
Spurious correlations in simultaneous EEG-fMRI driven by in-scanner movement. NeuroImage 133: 354-366 (2016)
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