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Dieter Grossegger
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2010 – 2019
- 2018
- [i1]Wolfgang Fruehwirt, Adam D. Cobb, Martin Mairhofer, Leonard Weydemann, Heinrich Garn, Reinhold Schmidt, Thomas Benke, Peter Dal-Bianco, Gerhard Ransmayr, Markus Waser, Dieter Grossegger, Pengfei Zhang, Georg Dorffner, Stephen J. Roberts:
Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity. CoRR abs/1812.04994 (2018) - 2017
- [j1]Carmina Reyes-Coronel, Heinrich Garn
, Markus Waser, Manfred Deistler, Thomas Benke, Peter Dal-Bianco, Gerhard Ransmayr, Stephan Seiler, Dieter Grossegger, Reinhold Schmidt:
Quantitative EEG Markers of Entropy and Auto Mutual Information in Relation to MMSE Scores of Probable Alzheimer's Disease Patients. Entropy 19(3): 130 (2017) - [c6]Wolfgang Fruehwirt
Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease. AIME 2017: 65-75 - 2016
- [c5]Heinrich Garn, Bernhard Kohn, Klaus Dittrich, Christoph Wiesmeyr, Gerhard Kloesch
3D detection of periodic limb movements in sleep. EMBC 2016: 427-430 - [c4]Carmina Reyes-Coronel, Markus Waser
Predicting rapid cognitive decline in Alzheimer's disease patients using quantitative EEG markers and neuropsychological test scores. EMBC 2016: 6078-6081 - 2014
- [c3]Heinrich Garn, Markus Waser
Electroencephalographic complexity markers explain neuropsychological test scores in Alzheimer's disease. BHI 2014: 496-499 - [c2]Markus Waser
Using static and dynamic canonical correlation coefficients as quantitative EEG markers for Alzheimer's disease severity. EMBC 2014: 2801-2804 - 2012
- [c1]Heinrich Garn, Markus Waser
Robust, automatic real-time monitoring of the time course of the individual alpha frequency in the time and frequency domain. EMBC 2012: 2227-2231
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