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Sandra Virbukaitė

Department: Image and Signal Analysis Group
Position: Ph.D. student, Junior Assistant Professor
Field: Informatics Engineering

Address: Akademijos st. 4, Vilnius
E-mail:

 

 

Doctoral studies

Theme Development of Deep Learning Methods for Pathological Changes Identification in Eye Fundus Images

Supervisor Dr. Jolita Bernatavičienė

Study time 2020 10 01–2024 09 30

Scientific publications

Publications with VU DMSTI affiliation

Conference presentations

2023

Virbukaitė, S., Bernatavičienė, J., "Application of Convolutional Neural Networks for Glaucoma Identification", Artificial intelligence technologies in medicine: research and diagnostics, Lithuania, Vilnius, October 20.

Virbukaitė, S., Bernatavičienė, J. "Deep Neural Networks application for Cup-to-Disc ratio estimation in eye fundus images", FedCSIS 2023, Poland, Warsaw, September 17-20. 

Doctoral Conference of Informatics Engineering and Informatics, March 21, 2023, Vilnius "Development of Deep Learning Methods for Pathological Changes Identification in Eye Fundus Images" (Slides)

2022

Virbukaitė, S., Bernatavičienė, J. „Interpolation Methods Impact on Eye Fundus Optic Disc and Optic Cup Segmentation“, DAMSS 2022Lithuania, Druskininkai, December 1-3.

Virbukaitė, S., Bernatavičienė, J. „Image Resizing Level Impact on Eye Fundus Optic Disc and Optic Cup Segmentation“, WSCG 2022Czech Republic, Pilzen, May 17-20.

Doctoral Conference of Informatics Engineering and Informatics, September 30, 2022, Vilnius "Development of Deep Learning Methods for Pathological Changes Identification in Eye Fundus Images" (Slides)

Doctoral Conference of Informatics Engineering and Informatics, March 24, 2022, Vilnius "Development of Deep Learning Methods for Pathological Changes Identification in Eye Fundus Images" (Slides)

2021

Virbukaitė, S., Bernatavičienė, J. „Impact of Images Quality Variety and Resizing Level on Eye Fundus Optic Disc Segmentation“, DAMSS 2021Lithuania, Druskininkai, December 2-4.

Virbukaitė, S., Bernatavičienė, J. „Image Quality Impact on Optic Disc Segmentation Accuracy“, KoDi 2021Lithuania, Klaipeda, September 23-24.

Doctoral Conference of Informatics Engineering, October 1, 2021, Vilnius "Development of Deep Learning Methods for Pathological Changes Identification in Eye Fundus Images" (Slides)

Doctoral Conference of Informatics Engineering, March 25, 2021, Vilnius "Development of Deep Learning Methods for Pathological Changes Identification in Eye Fundus Images" (Slides)

Scientific and pedagogical qualification

Education

  • 2011 – Vilnius Tech University: Master in Applied Statistics.
  • 2009 – Vilnius Tech University: Bachelor in Engineering informatics.

Certificates

  • 2023 May - July. Machine Learning Summer School "OxML 2023",  University of Oxford, Englan, Oxford.
  • 2021 July. International School on Deep Learning "DeepLearn 2021", Spain, Las Palmas de Gran Canaria.

Pedagogical activity

Database query languages, Vilnius University, 2020 - present.