1 | Virbukaitė, Sandra; Bernatavičienė, Jolita; Imbrasienė, Daiva. Glaucoma identification using convolutional neural networks ensemble for optic disc and cup segmentation // IEEE Access. Piscataway : IEEE. eISSN 2169-3536. 2024, vol. 12, p. 82720-82729. DOI: 10.1109/ACCESS.2024.3412185. |
2 | Virbukaitė, Sandra; Bernatavičienė, Jolita. Impact of eye fundus image preprocessing on key objects segmentation for glaucoma identification // Nonlinear analysis: modelling and control. Vilnius : Vilnius University Press. ISSN 1392-5113. eISSN 2335-8963. 2024, vol. 29, no. 1, p. 96-110. DOI: 10.15388/namc.2024.29.33669. |
3 | Virbukaitė, Sandra; Bernatavičienė, Jolita. Deep Neural Networks application for Cup-to-Disc ratio estimation in eye fundus images // Proceedings of the 18th conference on computer science and intelligence systems, September 17–20, 2023. Warsaw, Poland / Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Dominik Ślęzak (eds.). Warsaw : Polskie Towarzystwo Informatyczne, 2023. eISBN 9788396744784. p. 1191-1195. (Annals of computer science and information systems, ISSN 2300-5963 ; vol. 35). DOI: 10.15439/2023F944. |
4 | Virbukaitė, Sandra; Bernatavičienė, Jolita. Interpolation methods impact on eye fundus optic disc and optic cup segmentation // DAMSS: 13th Conference on data analysis methods for software systems, Druskininkai, Lithuania, December 1–3, 2022. Vilnius : Vilnius University Press, 2022. ISBN 9786090707944. eISBN 9786090707951. p. 101. (Vilnius University Proceedings, eISSN 2669-0233 ; vol. 31). DOI: 10.15388/DAMSS.13.2022. |
5 | Virbukaitė, Sandra; Bernatavičienė, Jolita. Image resizing level impact on eye fundus optic disc and optic cup segmentation // WSCG 2022: 30. Jubilee International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, Plzen, Czech Republic. Pilsen. 2022, p. 306-309. (International Conference in Central Europe on Computer Graphics and Visualization). DOI: 10.24132/CSRN.3201.39. |
6 | Virbukaitė, Sandra; Bernatavičienė, Jolita. Impact of images quality variety and resizing level on eye fundus optic disc segmentation // DAMSS: 12th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 2–4, 2021. Vilnius : Vilnius University Press, 2021. ISBN 9786090706732. eISBN 9786090706749. p. 77. DOI: 10.15388/DAMSS.12.2021. |
7 | Virbukaitė, Sandra; Bernatavičienė, Jolita. Deep learning methods for glaucoma identification using digital fundus images // Baltic journal of modern computing. Rīga : University of Latvia. ISSN 2255-8942. eISSN 2255-8950. 2020, vol. 8, iss. 4, p. 520-530. DOI: 10.22364/bjmc.2020.8.4.03. |