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Machine Learning Based Diagnosis of Diseases Using the Unfolded EEG Spectra (2020)

Buettner Ricardo, Rieg Thilo, Frick Janek

High performance detection of epilepsy in seizure free EEG recordings (2019)

Büttner, Ricardo ; Frick, Janek ; Rieg, Thilo

High-performance detection of alcoholism by unfolding the amalgamated EEG spectra using the Random Forests method (2019)

Rieg, Thilo ; Frick, Janek ; Hitzler, Marius ; Büttner, Ricardo

Gemeinsame Stellungnahme zum IDW EPS 340 (2020)

Angermüller, Niels ; Berger, Thomas ; Blum, Ulrich ; Erben, Roland ; Ernst, Dietmar ; Gleißner, Werner ; Grundmann, Thilo ; Heyd, Reinhard ; Hofmann, Kay ; Mayer, Christoph ; Rieg, Robert ; Schneck, Ottmar ; Ulrich, Patrick ; Vanini, Ute

Demonstration of the potential of white-box machine learning approaches to gain insights from cardiovascular disease electrocardiograms (2020)

Rieg, Thilo ; Frick, Janek ; Baumgartl, Hermann ; Buettner, Ricardo

Machine Learning-Based Diagnosis of Epilepsy in Clinical Routine: Lessons Learned from a Retrospective Pilot Study (2020)

Rieg, Thilo ; Frick, Janek ; Buettner, Ricardo

Detection of schizophrenia: A machine learning algorithm for potential early detection and prevention based on event-related potentials (2021)

Janek, Frick ; Rieg, Thilo ; Büttner, Ricardo

Machine Learning-Based Health Behavior Prediction Using Resting-State EEG Data (2022)

Breitenbach, Johannes ; Eisenhardt, Daniel ; Rieg, Thilo ; Baumgartl, Hermann ; Timm, Ingo ; Ulrich, Patrick ; Büttner, Ricardo

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