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Markus Goldhacker
Markus Goldhacker
Ostbayerische Technische Hochschule Regensburg
Bestätigte E-Mail-Adresse bei oth-regensburg.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Perceptual learning in patients with macular degeneration
T Plank, K Rosengarth, C Schmalhofer, M Goldhacker, S Brandl-Rühle, ...
Frontiers in Psychology 5, 109764, 2014
492014
Spatial mnemonic encoding: theta power decreases and medial temporal lobe BOLD increases co-occur during the usage of the method of loci
MC Fellner, G Volberg, M Wimber, M Goldhacker, MW Greenlee, ...
eneuro 3 (6), 2016
462016
EMDLAB: a toolbox for analysis of single-trial EEG dynamics using empirical mode decomposition
K Al-Subari, S Al-Baddai, AM Tomé, M Goldhacker, R Faltermeier, ...
Journal of neuroscience methods 253, 193-205, 2015
402015
Spurious correlations in simultaneous EEG-fMRI driven by in-scanner movement
MC Fellner, G Volberg, KJ Mullinger, M Goldhacker, M Wimber, ...
Neuroimage 133, 354-366, 2016
362016
The effect of feedback on performance and brain activation during perceptual learning
M Goldhacker, K Rosengarth, T Plank, MW Greenlee
Vision Research 99, 99-110, 2014
282014
Brain connectivity studies on structure-function relationships: a short survey with an emphasis on machine learning
S Wein, G Deco, AM Tomé, M Goldhacker, WM Malloni, MW Greenlee, ...
Computational intelligence and neuroscience 2021, 2021
142021
Conception of a reference architecture for machine learning in the process industry
R Wöstmann, P Schlunder, F Temme, R Klinkenberg, J Kimberger, ...
2020 IEEE International Conference on Big Data (Big Data), 1726-1735, 2020
102020
Frequency-resolved dynamic functional connectivity reveals scale-stable features of connectivity-states
M Goldhacker, AM Tomé, MW Greenlee, EW Lang
Frontiers in Human Neuroscience 12, 253, 2018
62018
A constrained ICA-EMD model for group level fMRI analysis
S Wein, AM Tomé, M Goldhacker, MW Greenlee, EW Lang
Frontiers in Neuroscience 14, 493061, 2020
52020
A multi-variate blind source separation algorithm
M Goldhacker, P Keck, A Igel, EW Lang, AM Tomé
Computer methods and programs in biomedicine 151, 91-99, 2017
52017
Hybridizing EMD with cICA for fMRI analysis of patient groups
S Wein, AM Tomé, M Goldhacker, MW Greenlee, EW Lang
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
32019
Preoperative assessment of Language Dominance through Combined Resting-State and Task-Based functional magnetic resonance imaging
C Ott, K Rosengarth, C Doenitz, J Hoehne, C Wendl, F Dodoo-Schittko, ...
Journal of personalized medicine 11 (12), 1342, 2021
22021
Generative deep learning approaches for the design of dental restorations: A narrative review
A Broll, M Goldhacker, S Hahnel, M Rosentritt
Journal of Dentistry, 104988, 2024
2024
A data-driven approach for the partial reconstruction of individual human molar teeth using generative deep learning
A Broll, M Rosentritt, T Schlegl, M Goldhacker
Frontiers in Artificial Intelligence 7, 1339193, 2024
2024
Perceptual learning in patients with central scotomata due to hereditary and age-related macular dystrophy
MW Greenlee, K Rosengarth, C Schmalhofer, M Goldhacker, ...
Journal of Vision 14 (10), 666-666, 2014
2014
Neural correlates of perceptual filling-in: fMRI evidence in the foveal projection zone of patients with central scotoma
MW Greenlee, S Anstis, K Rosengarth, M Goldhacker, S Brandl-Rühle, ...
Journal of Vision 12 (9), 1303-1303, 2012
2012
A comparison of different ICA algorithms on a retinotopy fMRI data-set
M Goldhacker, IR Keck, V Fischer, EW Lang
PERCEPTION 38, 122-123, 2009
2009
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