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Thomas Benke
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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
- [j3]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) - [c5]Wolfgang Fruehwirt
Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease. AIME 2017: 65-75 - [c4]Markus Waser
A flexible method for the automated offline-detection of artifacts in multi-channel electroencephalogram recordings. EMBC 2017: 3793-3796 - 2016
- [c3]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
- [c2]Heinrich Garn, Markus Waser
Electroencephalographic complexity markers explain neuropsychological test scores in Alzheimer's disease. BHI 2014: 496-499 - [c1]Markus Waser
Using static and dynamic canonical correlation coefficients as quantitative EEG markers for Alzheimer's disease severity. EMBC 2014: 2801-2804
2000 – 2009
- 2006
- [j2]Anja Ischebeck
How specifically do we learn? Imaging the learning of multiplication and subtraction. NeuroImage 30(4): 1365-1375 (2006) - 2005
- [j1]Margarete Delazer
Learning by strategies and learning by drill - evidence from an fMRI study. NeuroImage 25(3): 838-849 (2005)
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