Jolita Bernataviciene

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 12

Top Topics

Colorectal Cancer

Data Mining Processes

Top Venues

Int. J. Comput. Commun. Control

Balt. J. Mod. Comput.

Publications

Sandra Virbukaite, Jolita Bernataviciene, Daiva Imbrasiene
Glaucoma Identification Using Convolutional Neural Networks Ensemble for Optic Disc and Cup Segmentation. IEEE Access 12 (2024)
Sandra Virbukaite, Jolita Bernataviciene
Deep Neural Networks application for Cup-to-Disc ratio estimation in eye fundus images. FedCSIS (2023)
Justinas Jucevicius, Povilas Treigys, Jolita Bernataviciene, Mantas Trakymas, Ieva Naruseviciute
Usage of Isotropic MRI Images Impoves Prostate Cancer Localization Results. Balt. J. Mod. Comput. 11 (4) (2023)
Povilas Treigys, Aleksas Vaitulevicius, Jolita Bernataviciene, Jurgita Markeviciute, Ieva Naruseviciute, Mantas Trakymas
Detecting Cancerous Regions in DCE MRI using Functional Data, XGboost and Neural Networks. FedCSIS (Communication Papers) (2022)
Gerda Ana Melnik-Leroy, Jolita Bernataviciene, Grazina Korvel, Gediminas Navickas, Gintautas Tamulevicius, Povilas Treigys
An Overview of Lithuanian Intonation: A Linguistic and Modelling Perspective. Informatica 33 (4) (2022)
Sandra Virbukaite, Jolita Bernataviciene
Deep Learning Methods for Glaucoma Identification Using Digital Fundus Images. Balt. J. Mod. Comput. 8 (4) (2020)
Julius Venskus, Povilas Treigys, Jolita Bernataviciene, Gintautas Tamulevicius, Viktor Medvedev
Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History Data Embedding. Sensors 19 (17) (2019)
Mindaugas Morkunas, Povilas Treigys, Jolita Bernataviciene, Arvydas Laurinavicius, Grazina Korvel
Machine Learning Based Classification of Colorectal Cancer Tumour Tissue in Whole-Slide Images. Informatica 29 (1) (2018)
Giedrius Stabingis, Jolita Bernataviciene, Gintautas Dzemyda, Alvydas Paunksnis, Lijana Stabingiene, Povilas Treigys, Ramute Vaicaitiene
Adaptive Eye Fundus Vessel Classification for Automatic Artery and Vein Diameter Ratio Evaluation. Informatica 29 (4) (2018)
Julius Venskus, Povilas Treigys, Jolita Bernataviciene, Viktor Medvedev, Miroslav Voznák, Mindaugas Kurmis, Violeta Bulbenkiene
Integration of a Self-Organizing Map and a Virtual Pheromone for Real-Time Abnormal Movement Detection in Marine Traffic. Informatica 28 (2) (2017)
Viktor Medvedev, Olga Kurasova, Jolita Bernataviciene, Povilas Treigys, Virginijus Marcinkevicius, Gintautas Dzemyda
A new web-based solution for modelling data mining processes. Simul. Model. Pract. Theory 76 (2017)
Justinas Jucevicius, Povilas Treigys, Jolita Bernataviciene, Ruta Briediene, Ieva Naruseviciute, Gintautas Dzemyda, Viktor Medvedev
Automated 2D Segmentation of Prostate in T2-weighted MRI Scans. Int. J. Comput. Commun. Control 12 (1) (2017)
Jolita Bernataviciene, Gintautas Dzemyda, Gediminas Bazilevicius, Viktor Medvedev, Virginijus Marcinkevicius, Povilas Treigys
Method for Visual Detection of Similarities in Medical Streaming Data. Int. J. Comput. Commun. Control 10 (1) (2015)
Dovile Buteikiene, Alvydas Paunksnis, Valerijus Barzdziukas, Jolita Bernataviciene, Virginijus Marcinkevicius, Povilas Treigys
Assessment of the Optic Nerve Disc and Excavation Parameters of Interactive and Automated Parameterization Methods. Informatica 23 (3) (2012)
Jolita Bernataviciene, Gintautas Dzemyda, Virginijus Marcinkevicius
Conditions for Optimal Efficiency of Relative MDS. Informatica 18 (2) (2007)
Jolita Bernataviciene, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevicius
Optimal decisions in combining the SOM with nonlinear projection methods. Eur. J. Oper. Res. 173 (3) (2006)
Gintautas Dzemyda, Jolita Bernataviciene, Olga Kurasova, Virginijus Marcinkevicius
Minimization of the Mapping Error using Coordinate Descent. WSCG (Short Papers) (2005)