Startseite UR

Einträge von Goldhacker, Markus auf dem Publikationsserver

Eine Stufe nach oben
Exportieren als
[feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Gruppieren nach: Datum | Dokumentenart | Keine Gruppierung
Gehe zu: 2024 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014
Anzahl der Einträge: 14.

2024

Broll, Alexander, Rosentritt, Martin , Schlegl, Thomas und Goldhacker, Markus (2024) A data-driven approach for the partial reconstruction of individual human molar teeth using generative deep learning. Frontiers in Artificial Intelligence 7.

Broll, Alexander, Goldhacker, Markus , Hahnel, Sebastian und Rosentritt, Martin (2024) Generative deep learning approaches for the design of dental restorations: A narrative review. Journal of Dentistry 145, S. 104988.

2021

Ott, Christian, Rosengarth, Katharina, Doenitz, Christian, Hoehne, Julius, Wendl, Christina, Dodoo-Schittko, Frank, Lang, Elmar W., Schmidt, Nils Ole und Goldhacker, Markus (2021) Preoperative Assessment of Language Dominance through Combined Resting-State and Task-Based Functional Magnetic Resonance Imaging. Journal of Personalized Medicine 11 (12), S. 1342.

Wein, Simon , Deco, Gustavo, Tomé, Ana Maria, Goldhacker, Markus , Malloni, Wilhelm M., Greenlee, Mark W. und Lang, Elmar W. (2021) Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning. Computational Intelligence and Neuroscience 2021, S. 1-31.

2020

Wein, Simon, Tomé, Ana M., Goldhacker, Markus , Greenlee, Mark W. und Lang, Elmar W. (2020) A Constrained ICA-EMD Model for Group Level fMRI Analysis. Frontiers in Neuroscience 14 (221), S. 1-10.

2019

Wein, S., Tomé, A. M., Goldhacker, Markus , Greenlee, Mark W. und Lang, Elmar W. (2019) Hybridizing EMD with cICA for fMRI Analysis of Patient Groups. In: Barbieri, R., (ed.) Biomedical engineering ranging from wellness to intensive care : 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) : 41st EMB Conference : July 23-27, Berlin. IEEE, Piscataway, NJ. Volltext nicht vorhanden.

2018

Goldhacker, Markus, Tomé, Ana M. , Greenlee, Mark W. und Lang, Elmar W. (2018) Frequency-Resolved Dynamic Functional Connectivity Reveals Scale-Stable Features of Connectivity-States. Frontiers in Human Neuroscience 12 (253), S. 1-16.

2017

Goldhacker, Markus (2017) Frequency-resolved dynamic functional connectivity and scale stability of connectivity-states. Dissertation, Universität Regensburg.

2016

Fellner, Marie-Christin , Volberg, Gregor , Wimber, Maria , Goldhacker, Markus , Greenlee, Mark W. und Hanslmayr, Simon (2016) Spatial Mnemonic Encoding: Theta Power Decreases and Medial Temporal Lobe BOLD Increases Co-Occur during the Usage of the Method of Loci. eneuro 3 (6), e0184-16.2016.

Fellner, M.-C. , Volberg, Gregor , Mullinger, K. J., Goldhacker, Markus , Wimber, M. , Greenlee, Mark W. und Hanslmayr, S. (2016) Spurious correlations in simultaneous EEG-fMRI driven by in-scanner movement. NeuroImage 133, S. 354-366. Volltext nicht vorhanden.

2015

Goldhacker, Markus (2015) Frequency-resolved dynamic functional connectivity and scale-invariant connectivity-state behavior. [Datensatz]

Al-Subari, Karema, Al-Baddai, Saad, Tomé, A. M. , Goldhacker, Markus , Faltermeier, Rupert und Lang, Elmar (2015) EMDLAB: A toolbox for analysis of single-trial {EEG} dynamics using empirical mode decomposition. Journal of Neuroscience Methods 253, 193 - 205. Volltext nicht vorhanden.

2014

Plank, Tina, Rosengarth, Katharina, Schmalhofer, Carolin, Goldhacker, Markus , Brandl-Rühle, Sabine und Greenlee, Mark W. (2014) Perceptual learning in patients with macular degeneration. Frontiers in Psychology 5, art1189.

Goldhacker, Markus , Rosengarth, Katharina, Plank, Tina und Greenlee, Mark W. (2014) The effect of feedback on performance and brain activation during perceptual learning. Vision Research 99, S. 99-110. Volltext nicht vorhanden.

Diese Liste wurde erzeugt am Sun Dec 22 02:27:05 2024 CET.
  1. Universität

Universitätsbibliothek

Publikationsserver

Kontakt:

Publizieren: oa@ur.de
0941 943 -4239 oder -69394

Dissertationen: dissertationen@ur.de
0941 943 -3904

Forschungsdaten: datahub@ur.de
0941 943 -5707

Ansprechpartner