Electroencephalographic complexity markers explain neuropsychological test scores in Alzheimer's disease. - Heinrich Garn; Markus Waser; Manfred Deistler; Thomas Benke; Peter Dal-Bianco; Gerhard Ransmayr; Helena Schmidt; Guenter Sanin; Peter Santer; Georg Caravias; Stephan Seiler; Dieter Grossegger; et al. (BHI, 2014)

Using static and dynamic canonical correlation coefficients as quantitative EEG markers for Alzheimer's disease severity. - Markus Waser; Heinrich Garn; Manfred Deistler; Thomas Benke; Peter Dal-Bianco; Gerhard Ransmayr; Helena Schmidt; Guenter Sanin; Peter Santer; Georg Caravias; Stephan Seiler; Dieter Grossegger; et al. (EMBC, 2014)

Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease. - Wolfgang Fruehwirt; Pengfei Zhang 001; Matthias Gerstgrasser; Dieter Grossegger; Reinhold Schmidt; Thomas Benke; Peter Dal-Bianco; Gerhard Ransmayr; Leonard Weydemann; Heinrich Garn; Markus Waser; Michael A. Osborne; et al. (AIME, 2017)

Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity. - 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 001; et al. (CoRR, 2018)

Standardized low-resolution brain electromagnetic tomography does not improve EEG Alzheimer's disease assessment. - Wolfgang Fruehwirt; Martin Mairhofer; Andreas Hahn 001; Heinrich Garn; Markus Waser; Reinhold Schmidt; Thomas Benke; Peter Dal-Bianco; Gerhard Ransmayr; Dieter Grossegger; Stephen J. Roberts; Georg Dorffner (NeuroImage, 2025)