31 citations · 35 across the 6 of their papers we have counts for
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eess.SP2025
Towards Automated EEG-Based Epilepsy Detection Using Deep Convolutional Autoencoders
Annika Stiehl, Nicolas Weeger, Christian Uhl +3
Epilepsy is one of the most common neurological disorders. This disease requires reliable and efficient seizure detection methods. Electroencephalography (EEG) is the gold standard…
eess.SP2025
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic Discharges
Annika Stiehl, Stefan Geißelsöder, Nicole Ille +3
Recognizing specific events in medical data requires trained personnel. To aid the classification, machine learning algorithms can be applied. In this context, medical records are…