| Revolutionizing the early detection of Alzheimer’s disease through non-invasive biomarkers: the role of artificial intelligence and deep learning AG Vrahatis, K Skolariki, MG Krokidis, K Lazaros, TP Exarchos, P Vlamos Sensors 23 (9), 4184, 2023 | 67 | 2023 |
| Graph Attention Networks: A Comprehensive Review of Methods and Applications AG Vrahatis, K Lazaros, S Kotsiantis Future Internet 16 (9), 2024 | 10 | 2024 |
| Feature selection for high dimensional data using supervised machine learning techniques K Lazaros, S Tasoulis, A Vrahatis, V Plagianakos 2022 IEEE International Conference on Big Data (Big Data), 3891-3894, 2022 | 9 | 2022 |
| Graph neural network approaches for single-cell data: a recent overview K Lazaros, DE Koumadorakis, P Vlamos, AG Vrahatis Neural Computing and Applications 36 (17), 9963-9987, 2024 | 7 | 2024 |
| Exploring promising biomarkers for Alzheimer’s disease through the computational analysis of peripheral blood single-cell RNA sequencing data MG Krokidis, AG Vrahatis, K Lazaros, P Vlamos Applied Sciences 13 (9), 5553, 2023 | 6 | 2023 |
| Machine learning analysis of Alzheimer’s disease single-cell RNA-sequencing data across cortex and hippocampus regions MG Krokidis, AG Vrahatis, K Lazaros, K Skolariki, TP Exarchos, P Vlamos Current Issues in Molecular Biology 45 (11), 8652-8669, 2023 | 4 | 2023 |
| Exploring the Association between Pro-Inflammation and the Early Diagnosis of Alzheimer’s Disease in Buccal Cells Using Immunocytochemistry and Machine Learning Techniques K Lazaros, M Gonidi, N Kontara, MG Krokidis, AG Vrahatis, T Exarchos, ... Applied Sciences. 14 (18), 2024 | 1 | 2024 |
| Methods for cell-type annotation on scRNA-seq data: A recent overview K Lazaros, P Vlamos, AG Vrahatis Journal of Bioinformatics and Computational Biology 21 (05), 2340002, 2023 | 1 | 2023 |
| Federated Learning: Navigating the Landscape of Collaborative Intelligence K Lazaros, DE Koumadorakis, AG Vrahatis, S Kotsiantis Electronics 13 (23), 2024 | | 2024 |
| Feature selection in single-cell RNA sequencing data: a comprehensive evaluation P Paplomatas, K Lazaros, GN Dimitrakopoulos, A Vrahatis Academia Biology 2 (3), 2024 | | 2024 |
| Advancing ScRNA-Seq Data Integration via a Novel Gene Selection Method K Lazaros, T Exarchos, I Maglogiannis, P Vlamos, AG Vrahatis IFIP International Conference on Artificial Intelligence Applications and …, 2024 | | 2024 |
| A comprehensive review on zero-shot-learning techniques K Lazaros, DE Koumadorakis, AG Vrahatis, S Kotsiantis Intelligent Decision Technologies 18 (2), 1001-1028, 2024 | | 2024 |
| A Graph-Based Approach to Integrate Large-Scale Drug and Protein Data for Alzheimer’s Disease Drug Repurposing GN Dimitrakopoulos, K Lazaros, M Krokidis, T Exarchos, AG Vrahatis, ... 2023 IEEE International Conference on Big Data (BigData), 4584-4587, 2023 | | 2023 |
| Computational modeling and conformational accuracy of wild type and mutated protein variants in Alzheimer’s Disease KLPV Marios Krokidis, Themis Exarchos, Evagelos Efraimidis, Konstantina ... 30th Meeting of the Hellenic Society of Neuroscience, 2023 | | 2023 |
| A Gene Selection Strategy for Enhancing Single-Cell RNA-Seq Data Integration † K Lazaros, GN Dimitrakopoulos, P Vlamos, AG Vrahatis Advances in Biomedical Sciences, Engineering and Technology (ABSET …, 2023 | | 2023 |
| Applying SCALEX scRNA-Seq Data Integration for Precise Alzheimer’s Disease Biomarker Discovery AG Vrahatis, K Lazaros, P Paplomatas, MG Krokidis, T Exarchos, ... IFIP International Conference on Artificial Intelligence Applications and …, 2023 | | 2023 |
| A Machine Learning approach combining omics data for Alzheimer’s Disease analysis GΝ Dimitrakopoulos, K Lazaros, K Vrahatis, Aristidis G., Marios, ... 2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (342 …, 2023 | | 2023 |
Aristidis G. VrahatisIonian UniversityVahvistettu sähköpostiosoite verkkotunnuksessa ionio.gr