Research Publications (Peer-Reviewed)
2024
Predicting the Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Using an Explainable AI Approach
Grammenos, G., Vrahatis, A.G., Vlamos, P., Palejev, D., Exarchos, T. & ADNI
Information, 15(5), p.249
2024
Lipidomic Analysis of Plasma Extracellular Vesicles Derived from Alzheimer’s Disease Patients
Krokidis, M. G., Pucha, K. A., Mustapic, M., Exarchos, T. P., Vlamos, P., & Kapogiannis, D.
Cells, 13(8), 702
2024
Machine Learning Analysis of Genomic Factors Influencing Hyperbaric Oxygen Therapy in Parkinson’s Disease
Banou, E., Vrahatis, A. G., Krokidis, M. G., & Vlamos, P.
BioMedInformatics, 4(1), 127-138
2024
Graph neural network approaches for single-cell data: a recent overview
Lazaros, K., Koumadorakis, D.E., Vlamos, P. and Vrahatis, A.G.
Neural Computing and Applications, pp.1-25
2024
Genetic Optimization in Uncovering Biologically Meaningful Gene Biomarkers for Glioblastoma Subtypes
Paplomatas, P., Douroumi, I.E., Vlamos, P. and Vrahatis, A.
BioMedInformatics, 4(1), pp.811-822
2024
Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases
Krokidis, M. G., Dimitrakopoulos, G. N., Vrahatis, A. G., Exarchos, T. P., & Vlamos, P.
Frontiers in Computational Neuroscience, 17, 1323182
2024
Lip-Reading Advancements: A 3D Convolutional Neural Network/Long Short-Term Memory Fusion for Precise Word Recognition
Exarchos, T., Dimitrakopoulos, G.N., Vrahatis, A.G., Chrysovitsiotis, G., Zachou, Z. and Kyrodimos, E.
BioMedInformatics, 4(1), pp.410-422
2024
Predicting stress levels using physiological data: Real-time stress prediction models utilizing wearable devices
Lazarou, E. and Exarchos, T.P.
AIMS Neuroscience, 11(2), pp.76-102
2023
Machine Learning Analysis of Alzheimer’s Disease Single-Cell RNA-Sequencing Data across Cortex and Hippocampus Regions
Krokidis, M. G., Vrahatis, A. G., Lazaros, K., Skolariki, K., Exarchos, T. P., & Vlamos, P.
Current Issues in Molecular Biology, 45(11), 8652-8669
2023
Drug and Protein Interaction Network Construction for Drug Repurposing in Alzheimer’s Disease
Dimitrakopoulos, G. N., Vrahatis, A. G., Exarchos, T. P., Krokidis, M. G., & Vlamos, P.
Future Pharmacology, 3(4), 731-741
2023
The RODI mHealth app Insight: Machine-Learning-Driven Identification of Digital Indicators for Neurodegenerative Disorder Detection
Giannopoulou, P., Vrahatis, A.G., Papalaskari, M.A. and Vlamos, P.
Healthcare, 11(22), p.2985
2023
A Gene Selection Strategy for Enhancing Single-Cell RNA-Seq Data Integration
Lazaros, K., Dimitrakopoulos, G.N., Vlamos, P. and Vrahatis, A.G.
Engineering Proceedings, 50(1), p.12
2023
In silico structural analysis exploring conformational folding of protein variants in Alzheimer’s disease
Efraimidis, E., Krokidis, M. G., Exarchos, T. P., Lazar, T., & Vlamos, P.
International Journal of Molecular Sciences, 24(17), 13543
2023
Design, Implementation, and Evaluation of Online Bioinformatics and Neuroinformatics Labs
Doukakis, S., Vrahatis, A.G., Exarchos, T., Hadjinicolaou, M., Vlamos, P. and Mouza, C.
International Journal of Online & Biomedical Engineering, 19(1)
2023
Revolutionizing the early detection of Alzheimer’s disease through non-invasive biomarkers: the role of artificial intelligence and deep learning
Vrahatis, A. G., Skolariki, K., Krokidis, M. G., Lazaros, K., Exarchos, T. P., & Vlamos, P.
Sensors, 23(9), 4184
2023
Lineage Plasticity and Stemness Phenotypes in Prostate Cancer: Harnessing the Power of Integrated “Omics” Approaches
Logotheti, S., Papadaki, E., Zolota, V., Logothetis, C., Vrahatis, A.G., Soundararajan, R. and Tzelepi, V.
Cancers, 15(17), p.4357
2023
Candidate measures of lineage plasticity in aggressive phenotypes of prostate cancer
Logotheti, S., Vundavilli, H., Papadaki, E. et al.
Cancer Research, 83(7 Suppl), pp.142-142
2023
COVID-19 classification on chest X-ray images using deep learning methods
Constantinou, M., Exarchos, T., Vrahatis, A.G. and Vlamos, P.
International Journal of Environmental Research and Public Health, 20(3), p.2035
2023
Assessing and modelling of post-traumatic stress disorder using molecular and functional biomarkers
Skolariki, K., Vrahatis, A. G., Krokidis, M. G., Exarchos, T. P., & Vlamos, P.
Biology, 12(8), 1050
2023
Exploring Promising Biomarkers for Alzheimer’s Disease through the Computational Analysis of Peripheral Blood Single-Cell RNA Sequencing Data
Krokidis, M. G., Vrahatis, A. G., Lazaros, K., & Vlamos, P.
Applied Sciences, 13(9), 5553
2023
An ensemble feature selection approach for analysis and modeling of transcriptome data in Alzheimer’s disease
Paplomatas, P., Krokidis, M. G., Vlamos, P., & Vrahatis, A. G.
Applied Sciences, 13(4), 2353
2023
Methods for cell-type annotation on scRNA-seq data: A recent overview
Lazaros, K., Vlamos, P. and Vrahatis, A.G.
Journal of Bioinformatics and Computational Biology, pp.2340002-2340002
2023
A Graph-Based Approach to Integrate Large-Scale Drug and Protein Data for Alzheimer’s Disease Drug Repurposing
Dimitrakopoulos, G. N., Lazaros, K., Krokidis, M., Exarchos, T., Vrahatis, A. G., & Vlamos, P.
2023 IEEE International Conference on Big Data (BigData), pp. 4584-4587
2023
Advanced Big Data Analysis for Deciphering the Role of Protein Misfolding and Interactions in the Pathogenesis of Alzheimer’s Disease
Krokidis, M. G., Dimitrakopoulos, G. N., Exarchos, T. P., Vrahatis, A. G., & Vlamos, P.
2023 IEEE International Conference on Big Data (BigData), pp. 4614-4617
2023
Precision Education Through the Eyes of Humanistic Teaching in the L2 Classroom
Moustaka, I., Doukakis, S. and Mattheoudakis, M.
SEEDA-CECNSM 2023, pp. 1-6
2023
The Use of Mobile Applications in the L2 Learning Classroom: Is it Worth the While?
Moustaka, I., Doukakis, S. and Mattheoudakis, M.
Interactive Mobile Communication, Technologies and Learning, pp. 281-289
2023
Learning mathematics with large language models: A comparative study with computer algebra systems and other tools
Matzakos, N., Doukakis, S. and Moundridou, M.
International Journal of Emerging Technologies in Learning (iJET), 18(20), pp.51-71
2023
Application of Mobile EEG for Cognitive Testing in Neurodevelopmental Disorders
Georgara, N. and Doukakis, S.
Cognition and Exploratory Learning in the Digital Age (CELDA 2023), p.397
2023
Finite Element Analysis of Patient-Specific Heart Model with Simulated Aortic Stenosis
Tomasevic, S., Saveljic, I., Velicki, L., Exarchos, T. and Filipovic, N.
2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE), pp. 315-319
2023
Applying SCALEX scRNA-Seq Data Integration for Precise Alzheimer’s Disease Biomarker Discovery
Vrahatis, A. G., Lazaros, K., Paplomatas, P., Krokidis, M. G., Exarchos, T., & Vlamos, P.
IFIP International Conference on Artificial Intelligence Applications and Innovations, pp. 294-302
2023
pCCI: A machine learning patient-centric cell-cell interactions framework for cancer subtype classification
Papageorgiou, P., Korfiati, A., Misios, A., Vrahatis, A.G. et al.
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 910-913
2023
Boosting the performance of MALT lymphoma classification in patients with primary Sjögren’s Syndrome through data augmentation
Pezoulas, V.C., Exarchos, T.P., Tachos, N.S., Goules, A., Tzioufas, A.G. and Fotiadis, D.I.
2023 45th Annual International Conference of the IEEE EMBC, pp. 1-4
2023
Computational bioengineering for heart disease
Filipović, N., Exarchos, T. and Jakovljević, Đ.
4th Belgrade Bioinformatics Conference, Vol. 4, pp. 17-17
2023
Development of hybrid and optimized deep learning classifiers for speech recognition in tracheostomy patients
Exarchos, T.
4th Belgrade Bioinformatics Conference, Vol. 4, pp. 30-30
2022
In Silico Structural Analysis Predicting the Pathogenicity of PLP1 Mutations in Multiple Sclerosis
Avramouli, A., Krokidis, M. G., Exarchos, T. P., & Vlamos, P.
Brain Sciences, 13(1), 42
2022
Patient-centered approaches for patients with systemic autoimmune rheumatic diseases: development and evolution
Vlachoyiannopoulos, P.G., Chatzis, L.G., Goules, A.V. et al.
Expert Review of Clinical Immunology, 18(2), pp.125-133
2022
A Consensus Gene Regulatory Network for Neurodegenerative Diseases Using Single-Cell RNA-Seq Data
Koumadorakis, D. E., Krokidis, M. G., Dimitrakopoulos, G. N., & Vrahatis, A. G.
Worldwide Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research, pp. 215-224
2022
Setting Up a Bio-AFM to Study Protein Misfolding in Neurodegenerative Diseases
Cheirdaris, D., Krokidis, M. G., Kasti, M., Vrahatis, A. G., Exarchos, T., & Vlamos, P.
Worldwide Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research, pp. 1-10
2022
Computational and Functional Insights of Protein Misfolding in Neurodegeneration
Krokidis, M. G., Exarchos, T. P., Avramouli, A., Vrahatis, A. G., & Vlamos, P.
Worldwide Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research, pp. 201-206
2022
Identifying Network Biomarkers for Alzheimer’s Disease Using Single-Cell RNA Sequencing Data
Aslanis, I., Krokidis, M. G., Dimitrakopoulos, G. N., & Vrahatis, A. G.
Worldwide Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research, pp. 207-214
2022
Effective Preprocessing of Single-Cell RNA-Seq for Unravelling Alzheimer’s Disease Signatures
Zoiros, A. and Vrahatis, A.
Worldwide Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research, pp. 251-256
2022
A Comparison of the Various Methods for Selecting Features for Single-Cell RNA Sequencing Data in Alzheimer’s Disease
Paplomatas, P., Vlamos, P. and Vrahatis, A.G.
Worldwide Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research, pp. 241-246
2022
Application of Machine Learning Techniques in the HELIAD Study Data for the Development of Diagnostic Models in MCI and Dementia
Dimakopoulos, G.A., Vrahatis, A.G., Exarchos, T.P. et al.
Worldwide Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research, pp. 187-192
2022
A Sensor-Based Platform for Early-Stage Parkinson’s Disease Monitoring
Krokidis, M. G., Exarchos, T. P., Vrahatis, A. G. et al.
Worldwide Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research, pp. 23-29
2022
Signature-Based Computational Drug Repurposing for Amyotrophic Lateral Sclerosis
Papikinos, T., Krokidis, M. G., Vrahatis, A., Vlamos, P., & Exarchos, T. P.
Worldwide Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research, pp. 201-211
2022
A Mobile Application for Supporting and Monitoring Elderly Population to Perform the Interventions of the FINGER Study
Chalkioti, M. and Exarchos, T.P.
Worldwide Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research, pp. 167-173
2022
Proposal for Monitoring Students’ Self-Efficacy Using Neurophysiological Measures and Self-Report Scales
Gerostathi, M. and Doukakis, S.
Worldwide Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research, pp. 635-643
2022
Proposal for Investigating Self-Efficacy in Mathematics Using a Portable EEG System
Papadopoulou, A. and Doukakis, S.
Worldwide Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research, pp. 117-124
2022
Neuroeducation and Mathematics: The Formation of New Educational Practices
Lekati, E. and Doukakis, S.
Worldwide Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research, pp. 91-96
2022
Development of a Protein Biochip Platform for Parkinson’s Disease
Tzouvelekis, C., Krokidis, M., Exarchos, T., & Vlamos, P.
GeNeDis 2020: Computational Biology and Bioinformatics, pp. 175-179
2022
A Hybrid Deep Learning model for predicting the early Alzheimer’s Disease stages using MRI
Papadaki, E., Exarchos, T., Vlamos, P. and Vrahatis, A.
Proceedings of the 12th Hellenic Conference on Artificial Intelligence, pp. 1-6
2022
Emerging Machine Learning Techniques for Modelling Cellular Complex Systems in Alzheimer’s
Vrahatis, A.G., Vlamos, P., Avramouli, A., Exarchos, T. and Gonidi, M.
GeNeDis 2020: Computational Biology and Bioinformatics, 1338, p.199
2022
Pressure Prediction on Mechanical Ventilation Control Using Bidirectional Long-Short Term Memory Neural Networks
Grammenos, G. and Exarchos, T.P.
Worldwide Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research, pp. 31-40
2022
Computational Models for Biomarker Discovery
Skolariki, K., Exarchos, T.P. and Vlamos, P.
Worldwide Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research, pp. 289-295
2021
Data-driven biomarker analysis using computational omics approaches to assess neurodegenerative disease progression
Krokidis, M. G., Exarchos, T. P., & Vlamos, P.
Math Biosci Eng, 18, 1813-1832
2021
Online learning, educational neuroscience and knowledge transformation opportunities for secondary education students
Doukakis, S. and Alexopoulos, E.C.
Journal of Higher Education Theory and Practice, 21(3)
2021
The role of educational neuroscience in synchronous online learning
Doukakis, S., Alexopoulos, E.C. and Niari, M.
J. Open Distance Educ. Educ. Technol, 17, pp.168-183
2021
Capturing and Evaluating the Effects of the Expansive Species Ailanthus altissima on Agro-Ecosystems on the Ionian Islands
Voutos, Y., Godsil, N., Sotiropoulou, A., Mylonas, P., Bouchagier, P., Exarchos, T. et al.
Engineering Proceedings, 9(1), p.19
2021
Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson’s Disease Omics Data
Krokidis, M. G., Dimitrakopoulos, G., Vrahatis, A. G., Exarchos, T. P., & Vlamos, P.
2021 IEEE International Conference on Big Data (Big Data), pp. 4460-4463
2021
Biomarker-driven analysis using high-throughput approaches in neuroinflammation and neurodegenerative diseases
Krokidis, M. G.
GeNeDis 2020: Genetics and Neurodegenerative Diseases, pp. 51-58
2021
Bioinformatics approaches for Parkinson’s disease in clinical practice: Data-driven biomarkers and pharmacological treatment
Krokidis, M. G., Exarchos, T., & Vlamos, P.
GeNeDis 2020: Computational Biology and Bioinformatics, pp. 193-198
2021
Correlation of biological and computer viruses through evolutionary game theory
Kostadimas, D., Kastampolidou, K. and Andronikos, T.
2021 16th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP), pp. 1-6
2021
Emerging machine learning techniques for modelling cellular complex systems in Alzheimer’s disease
Vrahatis, A.G., Vlamos, P., Avramouli, A., Exarchos, T. and Gonidi, M.
GeNeDis 2020: Computational Biology and Bioinformatics, pp. 199-208
2021
Handling the Cellular Complex Systems in Alzheimer’s Disease Through a Graph Mining Approach
Vrahatis, A.G., Vlamos, P., Gonidi, M. and Avramouli, A.
GeNeDis 2020: Computational Biology and Bioinformatics, pp. 135-144
2021
Online Learning, Students’ Assessment and Educational Neuroscience
Doukakis, S., Niari, M., Alexopoulos, E. and Sfyris, P.
Interactive Mobile Communication, Technologies and Learning, pp. 71-82
2021
An Application for Exploring Visual Perception: A Pilot Neuroeducational Study
Panakakis, S., Tsivoula, S. and Doukakis, S.
GeNeDis 2020: Computational Biology and Bioinformatics, pp. 225-230
2020
Digital biomarker‐based individualized prognosis for people at risk of dementia
Buegler, M., Harms, R.L., Balasa, M., Meier, I.B., Exarchos, T. et al.
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 12(1), p.e12073
Chapters in Collective Volumes
2023
Exhaled Breath Analysis in Neurodegenerative Diseases
Patsiris, S., Karpouza, A., Exarchos, T. and Vlamos, P.
Handbook of Computational Neurodegeneration, pp. 441-452. Springer.
2023
Computational models in the prediction of Alzheimer’s disease and dementia
Papageorgiou, I., Kavvadias, M. and Exarchos, T.P.
Handbook of Computational Neurodegeneration, pp. 783-809. Springer.
2023
Detecting Active Molecular Subpathways Related to Alzheimer’s Disease: A Systems Biology Approach
Vrahatis, A.G. and Vlamos, P.
Handbook of Computational Neurodegeneration, pp. 91-109. Springer.
2023
Role of Buccal Cells in Neurodegeneration
Gonidi, M., Kontara, N., Vrahatis, A., Exarchos, T. and Vlamos, P.
Handbook of Computational Neurodegeneration, pp. 1-16. Springer.
2023
Parkinson’s Disease: Bioinspired Optimization Algorithms for Omics Datasets Monitoring
Skolariki, K., Krokidis, M. G., Vrahatis, A. G., Exarchos, T. P., & Vlamos, P.
Handbook of Computational Neurodegeneration, pp. 909-922. Springer.
2023
Protein misfolding and neurodegenerative diseases: A game theory perspective
Adam, S., Karastathis, P., Kostadimas, D., Kastampolidou, K. and Andronikos, T.
Handbook of Computational Neurodegeneration, pp.863-874.
2022
Gene Regulatory Network Reconstruction Using Single-Cell RNA-Sequencing
Koumadorakis, D. E., Dimitrakopoulos, G. N., Krokidis, M. G., & Vrahatis, A. G.
Handbook of Computational Neurodegeneration, pp. 1-15. Springer.
2022
Protein Fold Recognition Exploited by Computational and Functional Approaches: Recent Insights
Krokidis, M. G., Efraimidis, E., Cheirdaris, D., Vrahatis, A. G., & Exarchos, T. P.
Handbook of Computational Neurodegeneration, 1-22. Springer.
2022
Gene expression profiling and bioinformatics analysis in neurodegenerative diseases
Krokidis, M. G., Exarchos, T. P., & Vlamos, P.
Handbook of Computational Neurodegeneration, pp. 1-36. Springer.
2021
A Systems Biology Approach for Detecting Active Molecular Subpathways Related to Alzheimer’s Disease
Vrahatis, A.G. and Vlamos, P.
Handbook of Computational Neurodegeneration, pp. 1-19. Springer.