Staff

Doctoral studies

Theme Developing deep learning methods for depression diagnosis based on EEG signal analysis

Supervisor dr. Jolita Bernatavičienė

Study time 2023 10 01–2027 09 30

Presentations at scientific conferences

Impact of Data Preprocessing on EEG Signal Classification Using Adjacency Matrices: 16th International Conference of the Lithuanian Neuroscience Association, November 29, 2024, Vilnius, Lithuania.

Machine Learning Approaches for the Analysis of Functional Brain Connectivity Patterns in Depression:14th Conference on DATA ANALYSIS METHODS for Software Systems, November 30 - December 2, 2023, Druskininkai, Lithuania.

An Overview of Machine Learning Methods for Functional Brain Connectivity of Depression: Kompiuterininkų dienos – 2023, September 28-29, 2023, Kaunas, Lithuania.

Assessment of Changes in Functional Brain Connectivity During Depression Treatment with TMS Using Granger Causality Based Methods: „Lietuvos magistrantų informatikos ir IT tyrimai“, May 5, 2023, Vilnius, Lithuania.