Automated Positioning of Overlapping Eye Fundus Images. - Povilas Treigys; Gintautas Dzemyda; Valerijus Barzdziukas (ICCS (1), 2008)

Automated Optic Nerve Disc Parameterization. - Povilas Treigys; Vydunas Saltenis; Gintautas Dzemyda; Valerijus Barzdziukas; Alvydas Paunksnis (Informatica, 2008)

Analysis of Thermovisual Data of the Radio-Frequency Impact on the Myocardium Damage. - Vincentas Veikutis; Gintautas Dzemyda; Povilas Treigys; Kristina Morkunaite; Algidas Basevicius; Saulius Lukosevicius; Gintare Sakalyte; Antanas Sederevicius (Informatica, 2010)

Assessment of the Optic Nerve Disc and Excavation Parameters of Interactive and Automated Parameterization Methods. - Dovile Buteikiene; Alvydas Paunksnis; Valerijus Barzdziukas; Jolita Bernataviciene; Virginijus Marcinkevicius; Povilas Treigys (Informatica, 2012)

Analysis of Iris and pupil parameters for stress Recognition. - Povilas Treigys; Virginijus Marcinkevicius; Arturas Kaklauskas (Inf. Technol. Control., 2012)

Method for Visual Detection of Similarities in Medical Streaming Data. - Jolita Bernataviciene; Gintautas Dzemyda; Gediminas Bazilevicius; Viktor Medvedev; Virginijus Marcinkevicius; Povilas Treigys (Int. J. Comput. Commun. Control, 2015)

Cloud Computing Approach for Intelligent Visualization of Multidimensional Data. - Jolita Bernataviciene; Gintautas Dzemyda; Olga Kurasova; Virginijus Marcinkevicius; Viktor Medvedev; Povilas Treigys (Advances in Stochastic and Deterministic Global Optimization, 2016)

Detection of the Road Pothole Contour in Raster Images. - Vytautas Jakstys; Virginijus Marcinkevicius; Povilas Treigys; Jevgenij Tichonov (Inf. Technol. Control., 2016)

Automated 2D Segmentation of Prostate in T2-weighted MRI Scans. - Justinas Jucevicius; Povilas Treigys; Jolita Bernataviciene; Ruta Briediene; Ieva Naruseviciute; Gintautas Dzemyda; Viktor Medvedev (Int. J. Comput. Commun. Control, 2017)

Integration of a Self-Organizing Map and a Virtual Pheromone for Real-Time Abnormal Movement Detection in Marine Traffic. - Julius Venskus; Povilas Treigys; Jolita Bernataviciene; Viktor Medvedev; Miroslav Voznák; Mindaugas Kurmis; Violeta Bulbenkiene (Informatica, 2017)

A new web-based solution for modelling data mining processes. - Viktor Medvedev; Olga Kurasova; Jolita Bernataviciene; Povilas Treigys; Virginijus Marcinkevicius; Gintautas Dzemyda (Simul. Model. Pract. Theory, 2017)

Machine Learning Based Classification of Colorectal Cancer Tumour Tissue in Whole-Slide Images. - Mindaugas Morkunas; Povilas Treigys; Jolita Bernataviciene; Arvydas Laurinavicius; Grazina Korvel (Informatica, 2018)

Adaptive Eye Fundus Vessel Classification for Automatic Artery and Vein Diameter Ratio Evaluation. - Giedrius Stabingis; Jolita Bernataviciene; Gintautas Dzemyda; Alvydas Paunksnis; Lijana Stabingiene; Povilas Treigys; Ramute Vaicaitiene (Informatica, 2018)

Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History Data Embedding. - Julius Venskus; Povilas Treigys; Jolita Bernataviciene; Gintautas Tamulevicius; Viktor Medvedev (Sensors, 2019)

Investigation of Recurrent Neural Network Architectures for Prediction of Vessel Trajectory. - Robertas Jurkus; Povilas Treigys; Julius Venskus (ICIST, 2021)

High F-score Model for Recognizing Object Visibility in Images with Occluded Objects of Interest. - Bernardas Ciapas; Povilas Treigys (Balt. J. Mod. Comput., 2021)

Deep Learning Model for Cell Nuclei Segmentation and Lymphocyte Identification in Whole Slide Histology Images. - Elzbieta Budginaite; Mindaugas Morkunas; Arvydas Laurinavicius; Povilas Treigys (Informatica, 2021)

Retail Self-checkout Image Classification Performance: Similar Class Grouping or Individual Class Classification Approach. - Bernardas Ciapas; Povilas Treigys (DB&IS, 2022)

Detecting Cancerous Regions in DCE MRI using Functional Data, XGboost and Neural Networks. - Povilas Treigys; Aleksas Vaitulevicius; Jolita Bernataviciene; Jurgita Markeviciute; Ieva Naruseviciute; Mantas Trakymas (FedCSIS (Communication Papers), 2022)

Investigating Noise Interference on Speech Towards Applying the Lombard Effect Automatically. - Grazina Korvel; Krzysztof Kakol; Povilas Treigys; Bozena Kostek (ISMIS, 2022)

An Overview of Lithuanian Intonation: A Linguistic and Modelling Perspective. - Gerda Ana Melnik-Leroy; Jolita Bernataviciene; Grazina Korvel; Gediminas Navickas; Gintautas Tamulevicius; Povilas Treigys (Informatica, 2022)

Investigation of the Lombard effect based on a machine learning approach. - Grazina Korvel; Povilas Treigys; Krzysztof Kakol; Bozena Kostek (Int. J. Appl. Math. Comput. Sci., 2023)

Usage of Isotropic MRI Images Impoves Prostate Cancer Localization Results. - Justinas Jucevicius; Povilas Treigys; Jolita Bernataviciene; Mantas Trakymas; Ieva Naruseviciute (Balt. J. Mod. Comput., 2023)

Application of coordinate systems for vessel trajectory prediction improvement using a recurrent neural networks. - Robertas Jurkus; Julius Venskus; Povilas Treigys (Eng. Appl. Artif. Intell., 2023)

Enhancing Arrhythmia Detection Using an Ensemble of Transformer Models for Heartbeat Classification. - Jaune Malukaite; Povilas Treigys; Jolita Bernataviciene (LOD (2), 2024)

Advancements in prostate zone segmentation: integrating attention mechanisms into the nnU-Net framework. - Aleksas Vaitulevicius; Jolita Bernataviciene; Jurgita Markeviciute; Ieva Naruseviciute; Mantas Trakymas; Povilas Treigys (Mach. Learn. Sci. Technol., 2024)

Automated barcodeless product classifier for food retail self-checkout images. - Bernardas Ciapas; Povilas Treigys (Vis. Comput., 2024)

Centre-loss - A preferred class verification approach over sample-to-sample in self-checkout products datasets. - Bernardas Ciapas; Povilas Treigys (IET Comput. Vis., 2024)

LLMs and XAI for Breast Cancer Transparency: A Review. - Sobia Dastgeer; Povilas Treigys (Balt. J. Mod. Comput., 2025)

Point Cloud Data Mining With HD Map Priors for Making Synthetic Forest Datasets. - Kasparas Karlauskas; Julius Gelsvartas; Povilas Treigys (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)