VU Medicinos fakulteto autoriaus 'Gajane Mikalkėnienė' publikacijų sąrašas

2024
1 Rimšelis, Jonas Mindaugas; Mikalkėnienė, Gajane; Bernatavičienė, Jolita. Comparative evaluation of adjacency matrix applications for EEG signal classification tasks // DAMSS: 15th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 28-30, 2024. Vilnius : Vilniaus universiteto leidykla, 2024. eISBN 9786090711125. p. 84. (Vilnius University Proceedings, eISSN 2669-0233 ; vol. 52). DOI: 10.15388/DAMSS.15.2024. [DB: Dimensions]
2 Mikalkėnienė, Gajane; Rimšelis, Jonas Mindaugas; Bernatavičienė, Jolita. Impact of data preprocessing on EEG signal classification using adjacency matrices // 16th international conference of the Lithuanian Neuroscience Association, 29th November 2024, Life Sciences Center, Vilnius, Lithuania. Vilnius : Vilniaus universiteto leidykla, 2024. eISBN 9786090711118. p. 55. Prieiga per internetą: <https://www.neuromokslai.lt/wp-content/uploads/2024/11/LNA_tezes_2024-Final.pdf>.

2023
1 Mikalkėnienė, Gajane; Dapšys, Kastytis. Assessment of changes in functional brain connectivity during depression treatment with TMS using granger causality based methods // Proceedings of the Conference "Lithuanian MSc Research in Informatics and ICT". Vilnius : Vilniaus universiteto leidykla. 2023, p. 44-48. (Vilnius University Open Series, eISSN 2669-0535). DOI: 10.15388/LMITT.2023.5.
2 Mikalkėnienė, Gajane; Bernatavičienė, Jolita. Machine learning approaches for the analysis of functional brain connectivity patterns in depression // DAMSS: 14th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 30 - December 2, 2023. Vilnius : Vilniaus universiteto leidykla, 2023. eISBN 9786090709856. p. 63. (Vilnius University Proceedings, eISSN 2669-0233 ; vol. 39). DOI: 10.15388/DAMSS.14.2023. [DB: Dimensions]