Perceptual learning in patients with macular degeneration T Plank, K Rosengarth, C Schmalhofer, M Goldhacker, S Brandl-Rühle, ... Frontiers in Psychology 5, 1189, 2014 | 53 | 2014 |
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 | 48 | 2016 |
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 | 41 | 2015 |
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 | 38 | 2016 |
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 (1), 5573740, 2021 | 34 | 2021 |
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 | 29 | 2014 |
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 | 17 | 2020 |
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 | 7 | 2024 |
A constrained ICA-EMD model for group level fMRI analysis S Wein, AM Tomé, M Goldhacker, MW Greenlee, EW Lang Frontiers in Neuroscience 14, 221, 2020 | 6 | 2020 |
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 | 6 | 2018 |
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 | 6 | 2017 |
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 | 4 | 2024 |
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 | 3 | 2019 |
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 | 2 | 2021 |
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 |