Robertas Damaševičius

Silesian University of Technology — Poland

Computer Science · Physical Sciences

79h-index22.8kcitations770works6.32yr avg
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Research Topics

Advanced Software Engineering Methodologies(45), AI in cancer detection(44), COVID-19 diagnosis using AI(40), EEG and Brain-Computer Interfaces(35), Brain Tumor Detection and Classification(35)

Publications769 total

Evolutionary Game Analysis of Educational Interactions in Digital Escape Room Games
Simulation & Gaming·2025
ForestResU-Net: a hybrid deep learning model for low-resolution forest segmentation using digital orthophotos and RGB imagery
International Journal of Remote Sensing·2025
Forest Information Modeling: A Novel Approach to Sustainable Forest Management
ICST Transactions on Scalable Information Systems·2025Open Access
Hybrid dual-transformer pansharpening network for enhanced spatial-spectral fidelity
Remote Sensing Applications Society and Environment·2025
Reconceptualizing education in the Stakeholder era: A futures perspective
Sustainable Futures·2025Open Access
A systematic literature review on advances in brain tumor detection using deep learning and explainable AI methods
Network Modeling Analysis in Health Informatics and Bioinformatics·2025· 1 cited
Certamen Artificialis Intelligentia: Evaluating AI in Solving AI-generated Programming Exercises
Proceedings of the International Conference on Information Systems Development·2025Open Access
Deep Learning for Brain Tumor Segmentation and Classification: A Systematic Review of Methods and Trends
Computers, materials & continua/Computers, materials & continua (Print)·2025Open Access
Global innovative perspectives and trends on digital health and patient safety: highlights from the #DHPSP2024 networking event
Exploration of Digital Health Technologies·2025Open Access
Tree Segmentation from Low-Resolution Digital Orthophotos using a Hybrid Deep Learning Model
Annals of Computer Science and Information Systems·2025Open Access
Multiscale MoE: A Mixture of Experts Framework with Attention-Driven Multi-Scale Learning for Brain Tumor Classification
Annals of Computer Science and Information Systems·2025Open Access
Forest-Inspired Reinforcement Learning Based On Nature Ecosystem Feedback Mechanisms
Annals of Computer Science and Information Systems·2025Open Access
RAG⁴-Unet: An Approach for Recognition and Segmentation of Brain Tumor in MRI Scans
Annals of Computer Science and Information Systems·2025Open Access
Modernizing Mathematics Education With Artificial Intelligence
Advances in computational intelligence and robotics book series·2025
Urbiverse
2025
An analytical approach to blockchain-driven identity management in sustainable forest supply chains
Supply Chain Analytics·2025· 1 citedOpen Access
Blockchain-enabled smart contracts for secure and transparent timber traceability
Journal of Industrial Information Integration·2025· 1 cited
A novel deep learning based approach with hyperparameter selection using grey wolf optimization for leukemia classification and hematologic malignancy detection
PeerJ Computer Science·2025Open Access
Gastrointestinal tract disease classification from wireless capsule endoscopy images based on deep learning information fusion and Newton Raphson controlled marine predator algorithm
Scientific Reports·2025· 1 citedOpen Access
Emergent defenders: generative AI’s role in safeguarding IoT ecosystems
Cluster Computing·2025· 1 cited
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Frequent Co-authors

Rytis Maskeliūnas(16), Muhammad Attique Khan(10), Mazin Abed Mohammed(6), Karrar Hameed Abdulkareem(5), Sanjay Misra(5), Seifedine Kadry(4), Mohamed Abd Elaziz(4), Jamal Hussain Shah(4), Majed Alhaisoni(3), Amjad Rehman(3), Mazhar Javed Awan(3), Sarmad Maqsood(3), Tomas Blažauskas(3), Tomas Krilavičius(3), Algimantas Venčkauskas(3), Šarūnas Grigaliūnas(3), Jevgenijus Toldinas(3), Victor Hugo C. de Albuquerque(2), Imran Ashraf(2), Rafał Scherer(2)