Dominik Klepl

This study evaluates methods to improve cross-site classification of first-episode schizophrenia using multimodal neuroimaging data, finding that domain adaptation strategies partially mitigate site-related performance degradation.

This study compares ROI-level and network-level functional connectivity approaches for early schizophrenia classification, finding that medium-resolution atlases provide the best accuracy.

This study uses cross-frequency multilayer network analysis to show increased low-frequency coupling and decreased high-frequency coupling in Alzheimer's disease compared to healthy controls, improving classification performance.

This study evaluates graph neural networks for Alzheimer's disease classification using EEG-based functional connectivity measures, finding that GNNs outperform baselines but no single FC measure consistently dominates.