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ORCIDPovilas Treigys
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- affiliation: Vilnius University, Lithuania
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2020 – today
- 2023
[j17]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)- [j16]Robertas Jurkus
, Julius Venskus, Povilas Treigys:
Application of coordinate systems for vessel trajectory prediction improvement using a recurrent neural networks. Eng. Appl. Artif. Intell. 123(Part C): 106448 (2023) - 2022
- [j15]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) - [c5]Bernardas Ciapas, Povilas Treigys:
Retail Self-checkout Image Classification Performance: Similar Class Grouping or Individual Class Classification Approach. DB&IS 2022: 167-182 - [c4]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 - [c3]Grazina Korvel, Krzysztof Kakol, Povilas Treigys, Bozena Kostek:
Investigating Noise Interference on Speech Towards Applying the Lombard Effect Automatically. ISMIS 2022: 399-407 - 2021
- [j14]Bernardas Ciapas, Povilas Treigys:
High F-score Model for Recognizing Object Visibility in Images with Occluded Objects of Interest. Balt. J. Mod. Comput. 9(1) (2021) - [j13]Elzbieta Budginaite, Mindaugas Morkunas, Arvydas Laurinavicius, Povilas Treigys:
Deep Learning Model for Cell Nuclei Segmentation and Lymphocyte Identification in Whole Slide Histology Images. Informatica 32(1): 23-40 (2021) - [c2]Robertas Jurkus, Povilas Treigys, Julius Venskus:
Investigation of Recurrent Neural Network Architectures for Prediction of Vessel Trajectory. ICIST 2021: 194-208
2010 – 2019
- 2019
- [j12]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
- [j11]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) - [j10]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
- [j9]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) - [j8]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) - [j7]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
- [j6]Vytautas Jakstys, Virginijus Marcinkevicius, Povilas Treigys, Jevgenij Tichonov:
Detection of the Road Pothole Contour in Raster Images. Inf. Technol. Control. 45(3): 300-307 (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
- [j5]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
- [j4]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) - [j3]Povilas Treigys, Virginijus Marcinkevicius, Arturas Kaklauskas:
Analysis of Iris and pupil parameters for stress Recognition. Inf. Technol. Control. 41(1): 7-14 (2012) - 2010
- [j2]Vincentas Veikutis, Gintautas Dzemyda, Povilas Treigys, Kristina Morkunaite, Algidas Basevicius, Saulius Lukosevicius, Gintare Sakalyte, Antanas Sederevicius:
Analysis of Thermovisual Data of the Radio-Frequency Impact on the Myocardium Damage. Informatica 21(3): 455-470 (2010)
2000 – 2009
- 2008
- [j1]Povilas Treigys, Vydunas Saltenis, Gintautas Dzemyda, Valerijus Barzdziukas, Alvydas Paunksnis:
Automated Optic Nerve Disc Parameterization. Informatica 19(3): 403-420 (2008) - [c1]Povilas Treigys, Gintautas Dzemyda, Valerijus Barzdziukas:
Automated Positioning of Overlapping Eye Fundus Images. ICCS (1) 2008: 770-779
Coauthor Index
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