Markus Goldhacker

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 7

Top Topics

Brain Connectivity

Machine Learning

Top Venues

Comput. Intell. Neurosci.

University of Regensburg, Germany (PHD)

Education History

University of Regensburg, Germany

PHD

Publications

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)
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 (2021)
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)
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)
Simon Wein, Ana Maria Tomé, Markus Goldhacker, Mark W. Greenlee, Elmar Wolfgang Lang
A constrained ICA-EMD Model for Group Level fMRI Analysis. CoRR (2019)
Markus Goldhacker, P. Keck, A. Igel, Elmar Wolfgang Lang, Ana Maria Tomé
A multi-variate blind source separation algorithm. Comput. Methods Programs Biomed. 151 (2017)
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 (2016)