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ORCIDJolita Bernataviciene
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2020 – today
- 2024
[j15]Sandra Virbukaite
, Jolita Bernataviciene, Daiva Imbrasiene:
Glaucoma Identification Using Convolutional Neural Networks Ensemble for Optic Disc and Cup Segmentation. IEEE Access 12: 82720-82729 (2024)- [j14]Aleksas Vaitulevicius, Jolita Bernataviciene, Jurgita Markeviciute, Ieva Naruseviciute, Mantas Trakymas, Povilas Treigys:
Advancements in prostate zone segmentation: integrating attention mechanisms into the nnU-Net framework. Mach. Learn. Sci. Technol. 5(4): 45003 (2024) - 2023
- [j13]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) - [c3]Sandra Virbukaite, Jolita Bernataviciene:
Deep Neural Networks application for Cup-to-Disc ratio estimation in eye fundus images. FedCSIS 2023: 1191-1195 - 2022
- [j12]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): 795-832 (2022) - [c2]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: 23-30 - 2020
- [j11]Sandra Virbukaite, Jolita Bernataviciene:
Deep Learning Methods for Glaucoma Identification Using Digital Fundus Images. Balt. J. Mod. Comput. 8(4) (2020)
2010 – 2019
- 2019
- [j10]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): 3782 (2019) - 2018
- [j9]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): 75-90 (2018) - [j8]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): 757-771 (2018) - 2017
- [j7]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): 53-60 (2017) - [j6]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): 359-374 (2017) - [j5]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: 34-46 (2017) - 2016
- [p1]Jolita Bernataviciene, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevicius, Viktor Medvedev, Povilas Treigys:
Cloud Computing Approach for Intelligent Visualization of Multidimensional Data. Advances in Stochastic and Deterministic Global Optimization 2016: 73-85 - 2015
- [j4]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): 8-21 (2015) - 2012
- [j3]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): 335-355 (2012)
2000 – 2009
- 2007
- [j2]Jolita Bernataviciene, Gintautas Dzemyda, Virginijus Marcinkevicius:
Conditions for Optimal Efficiency of Relative MDS. Informatica 18(2): 187-202 (2007) - 2006
- [j1]Jolita Bernataviciene, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevicius:
Optimal decisions in combining the SOM with nonlinear projection methods. Eur. J. Oper. Res. 173(3): 729-745 (2006) - 2005
- [c1]Gintautas Dzemyda, Jolita Bernataviciene, Olga Kurasova, Virginijus Marcinkevicius:
Minimization of the Mapping Error using Coordinate Descent. WSCG (Short Papers) 2005: 169-172
Coauthor Index
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