J1. K. D. Tzimourta, M. G. Tsipouras, P. Angelidis, D. G. Tsalikakis and E. Orovou, “Maternal Health Risk Detection: Advancing Midwifery with Artificial Intelligence,” Healthcare, vol. 13, no. 7, p. 833, 2025. Available: https://doi.org/10.3390/healthcare13070833 [pdf]
J2. E. Orovou, K. D. Tzimourta, M. Tzitiridou-Chatzopoulou, A. Kakatosi, and A. Sarantaki,, “Artificial Intelligence in Assisted Reproductive Technology: A New Era in Fertility Treatment,” Cureus, vol. 17, no. 4, 1–9, 2025. Available: https://doi.org/10.7759/cureus.81568 [pdf]
J3. A. Sarantaki, A. Nomikou, K. Tzimourta, E. Orovou, K. Gourounti, and S. Barbounaki, “Fuzzy‑set qualitative comparative analysis and fuzzy cognitive maps: Exploring pregnancy outcomes and maternal depression,” Med. Int., vol. 5, no. 3, pp. 1–12, 2025. [Online]. Available: https://doi.org/10.3390/mi5030001 [pdf]
J4. K. Stefanou, K. D. Tzimourta, C. Bellos, G. Stergios, K. Markoglou, E. Gionanidis, M. G. Tsipouras, N. Giannakeas, A. T. Tzallas, and A. Miltiadous, “A novel CNN-based framework for Alzheimer’s disease detection using EEG spectrogram representations,” J. Pers. Med., vol. 15, no. 1, p. 27, 2025. [Online]. Available: https://doi.org/10.3390/jpm15010027 [pdf]
J5. K. Glavas, K. D. Tzimourta, A. T. Tzallas, N. Giannakeas and M. G. Tsipouras, “Empowering Individuals With Disabilities: A 4-DoF BCI Wheelchair Using MI and EOG Signals,” in IEEE Access, vol. 12, pp. 95417-95433, 2024, doi: 10.1109/ACCESS.2024.3424953. Available: https://doi.org/10.3390/brainsci14020139 [pdf]
J6. K. Glavas, K. D. Tzimourta, P. Angelidis, S. Bibi and M. G. Tsipouras, “Brain-Computer Interface Controlled Drones: A Systematic Review” IEEE Access, vol. 12, pp. 61279-61300, 2024, doi: 10.1109/ACCESS.2024.3392008. [Online]. Available: https://doi.org/10.3390/brainsci14020139 [pdf]
J7. D. Theodoridou, C.O. Tsiantis, A.M. Vlaikou, V. Chondrou, V. Zakopoulou, P. Christodoulides, E.D. Oikonomou, K.D. Tzimourta, C. Kostoulas, A.T. Tzallas, et al. “Developmental Dyslexia: Insights from EEG-Based Findings and Molecular Signatures—A Pilot Study”. Brain Sciences, vol. 14, no. 139, Jan. 2014, doi: 10.3390/brainsci14020139. [Online]. Available: https://doi.org/10.3390/brainsci14020139 [pdf]
J8. F. Gramouseni, K. D. Tzimourta, P. Angelidis, N. Giannakeas, and M. G. Tsipouras, “Cognitive Assessment Based on Electroencephalography Analysis in Virtual and Augmented Reality Environments, Using Head Mounted Displays: A Systematic Review,” Big Data and Cognitive Computing, vol. 7, no. 4, p. 163, Oct. 2023, doi: 10.3390/bdcc7040163. [Online]. Available: http://dx.doi.org/10.3390/bdcc7040163 [pdf]
J9. A. Miltiadous, E. Gionanidis, K. D. Tzimourta, N. Giannakeas, A. T. Tzallas, “DICE-net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals”, IEEE Access, doi: 10.1109/ACCESS.2023.3294618. [pdf]
J10. G. Prapas, K. Glavas, K. D. Tzimourta, A. T. Tzallas, and M. G. Tsipouras, “Mind the Move: Developing a Brain-Computer Interface Game with Left-Right Motor Imagery,” Information, vol. 14, no. 7, p. 354, Jun. 2023, doi: 10.3390/info14070354. [Online]. Available: http://dx.doi.org/10.3390/info14070354. [pdf]
J11. A. Miltiadous, K. D. Tzimourta, T. Afrantou, P. Ioannidis, N. Grigoriadis, D. G. Tsalikakis, P. Angelidis, M. G. Tsipouras, E. Glavas, N. Giannakeas and A. T. Tzallas, “A Dataset of Scalp EEG Recordings of Alzheimer’s Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG,” Data, vol. 8, no. 6, p. 95, May 2023, doi: 10.3390/data8060095. [Online]. Available: http://dx.doi.org/10.3390/data8060095. [pdf]
J12. A. Miltiadous, K. D. Tzimourta, N. Giannakeas, M.G. Tsipouras, E. Glavas, K. Kalafatakis and A.T. Tzallas, “Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review”, IEEE Access, vol. 11, pp. 564-594, 2023, doi: 10.1109/ACCESS.2022.3232563. [Online]. Available: http://dx.doi.org/10.1109/ACCESS.2022.3232563. [pdf]
J13. K. Glavas, G. Prapas, K. D. Tzimourta, N. Giannakeas, and M. G. Tsipouras, “Evaluation of the User Adaptation in a BCI Game Environment,” Applied Sciences, vol. 12, no. 24, p. 12722, Dec. 2022, doi: 10.3390/app122412722. [Online]. Available: http://dx.doi.org/10.3390/app122412722. [pdf]
J14. V. Christou, A. Miltiadous, I. Tsoulos, E. Karvounis, K. D. Tzimourta, M. G. Tsipouras, N. Anastasopoulos, A. T. Tzallas and N. Giannakeas, “Evaluating the Window Size’s Role in Automatic EEG Epilepsy Detection,” Sensors, vol. 22, no. 23, p. 9233, Nov. 2022, doi: 10.3390/s22239233. [Online]. Available: http://dx.doi.org/10.3390/s22239233. [pdf]
J15. V. Aspiotis, A. Miltiadous, K. Kalafatakis, K. D. Tzimourta, N. Giannakeas, M. G. Tsipouras, D. Peschos, E. Glavas and A. T. Tzallas, “Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG,” Sensors, vol. 22, no. 15, p. 5792, Aug. 2022, doi: 10.3390/s22155792. [Online]. Available: http://dx.doi.org/10.3390/s22155792. [pdf]
J16. P. Christodoulides, A. Miltiadous A., K. D. Tzimourta, et al. “Classification of EEG Signals from Young Adults with Dyslexia combining a Brain Computer Interface and an Interactive Linguistic Software Tool”. Biomedical Signal Processing & Control, vol. 76, p. 103646, July 2022, doi: 10.1016/j.bspc.2022.103646. [Online]. Available: https://doi.org/10.1016/j.bspc.2022.103646. [pdf]
J17. A. Miltiadous, K. D. Tzimourta, N. Giannakeas, M.G. Tsipouras, T. Afrantou, P. Ioannidis and A. T. Tzallas, “Alzheimer’s Disease and Frontotemporal Dementia: A Robust Classification Method of EEG Signals and a Comparison of Validation Methods,” Diagnostics, vol. 11, no. 8, p. 1437, Aug. 2021, doi: 10.3390/diagnostics11081437. [Online]. Available: http://dx.doi.org/10.3390/diagnostics11081437. [pdf]
J18. K. D. Tzimourta, V. Christou, A. T. Tzallas, N. Giannakeas, L. G. Astrakas, P. Angelidis, D. Tsalikakis and M. G. Tsipouras, “Machine learning algorithms and statistical approaches for Alzheimer’s disease analysis based on resting-state EEG recordings: a systematic review”, International journal of neural systems, vol. 31, no. 5, p. 2130002, May 2021, doi: 10.1142/S0129065721300023. [Online]. Available: http://dx.doi.org/10.1142/S0129065721300023. [pdf]
J19. V. Zakopoulou, K. D. Tzimourta, G. Ntritsos, A. T. Tzallas, M. G. Tsipouras, L. G. Astrakas, P. Christodoulides, I. Paliokas, V. Zakopoulos and N. Giannakeas, “Towards Correct and Safe Diagnosis of Specific Learning Disorder in Preschool Age. The perspective of Early Multi-collector Diagnostic Approaches. A Pilot Study”, Acta Scientific Neurology, vol. 4, no. 6, p. 53, June 2021. [pdf]
J20. E. Antoniou, P. Bozios, V. Christou, K. D. Tzimourta, K. Kalafatakis, M. G. Tsipouras, N. Giannakeas and A. T. Tzallas, “EEG-Based Eye Movement Recognition Using Brain–Computer Interface and Random Forests,” Sensors, vol. 21, no. 7, p. 2339, Mar. 2021, doi: 10.3390/s21072339. [Online]. Available: http://dx.doi.org/10.3390/s21072339. [pdf]
J21. K. D. Tzimourta, T. Afrantou, P. Ioannidis, M. Karatzikou, A. T. Tzallas, N. Giannakeas, L. Astrakas, E. Glavas, N. Grigoriadis, P. Angelidis, D. G. Tsalikakis and M. G. Tsipouras, “Analysis of EEG signals complexity regarding Alzheimer’s Disease”, Computers and Electrical Engineering, vol. 76, p. 198-212, June 2019, doi: 10.1016/j.compeleceng.2019.03.018. [Online]. Available: https://doi.org/10.1016/j.compeleceng.2019.03.018. [pdf]
J22. K. D. Tzimourta, N. Giannakeas, A. T. Tzallas, L. Astrakas, T. Afrantou, P. Ioannidis, N. Grigoriadis, P. Angelidis, D. G. Tsalikakis and M. G. Tsipouras “EEG Window Length Evaluation for the Detection of Alzheimer’s Disease over Different Brain Regions”, Brain sciences, vol. 9, no. 4, p. 81, Apr. 2019, doi: 10.3390/brainsci9040081. [Online]. Available: https://doi.org/10.3390/brainsci9040081. [pdf]
J23. K. D. Tzimourta, A. T. Tzallas, N. Giannakeas, L. G. Astrakas, D. G. Tsalikakis, P. Angelidis and M. G. Tsipouras, “A robust methodology for classification of epileptic seizures in EEG signals”, Health and Technology, vol. 9, p. 135-142, Sept. 2018, doi: 10.1007/s12553-018-0265-z. [Online]. Available: https://doi.org/10.1007/s12553-018-0265-z. [pdf]
J24. K. D. Tzimourta, I. Tsoulos, T. Bilero, A. Tzallas, M. Tsipouras, and N. Giannakeas, “Direct Assessment of Alcohol Consumption in Mental State Using Brain Computer Interfaces and Grammatical Evolution,” Inventions, vol. 3, no. 3, p. 51, Jul. 2018, doi: 10.3390/inventions3030051. [Online]. Available: http://dx.doi.org/10.3390/inventions3030051. [pdf]
J25. K. D. Tzimourta, L. G. Astrakas, A. M. Gianni, A. T. Tzallas, N. Giannakeas, I. Paliokas and M. G. Tsipouras, “Evaluation of window size in classification of epileptic short-term EEG signals using a Brain Computer Interface software”, Engineering, Technology & Applied Science Research, vol. 8, no. 4, p. 3093-3097, Aug. 2018, doi: 10.48084/etasr.2031. [Online]. Available: https://doi.org/10.48084/etasr.2031. [pdf]
J26. K. D. Tzimourta, A. Tsilimbaris, K. Tzioukalia, A. T. Tzallas, M. G. Tsipouras, L. G. Astrakas and N. Giannakeas, “EEG-based automatic sleep stage classification”, Biomedical Journal of Scientific & Technical Research, vol. 1, no. 6, p. 6032-6037, Aug. 2018, doi: 10.26717/BJSTR.2018.07.001535. [Online]. Available: https://doi.org/10.26717/BJSTR.2018.07.001535. [pdf]
C1. A. C. Kalyvas, A. Efythymiou, M. Lima, K. D. Tzimourta, P. Ioannidis, N. Grigoriadis, and T. Afrantou, “Epilepsy in Alzheimer Disease; a late-stage-complication or an integral part of Alzheimer Disease phenotype?”, [eposter Virtual presentation], In 10th Congress of the European Academy of Neurology, Helsinki, Finland, Jun. 2024. pp. 845, doi: 10.1111/ene.16340
C2. P. N. Smyrlis, A. Ntetska, T. Karamitsou, F. Dimaraki, K. D. Tzimourta, P. Angelidis and M. G. Tsipouras, “Yolov9 models for cancer detection in biopsy images: segmentation on pan-cancer data”, In 2024 9th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Athens, Greece, 2024, pp. 174-178, doi: 10.1109/SEEDA-CECNSM63478.2024.00039. [pdf]
C3. P. N. Smyrlis, G. R. Stancu, F. Dimaraki, A. Ntetska, T. Karamitsou, K. D. Tzimourta, M. G. Tsipouras and P. Angelidis, “Aorta localization in Computed Tomography images: A YoloV9 segmentation approach”, In 2024 9th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Athens, Greece, 2024, pp. 163-167, doi: 10.1109/SEEDA-CECNSM63478.2024.00037 [pdf]
C4. A. Miltiadous, K. D. Tzimourta, V. Aspiotis, T. Afrantou, M. G. Tsipouras, N. Giannakeas, E. Glavas and A. T. Tzallas, ” Enhanced Alzheimer’s disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features”, IEEE 36th International Symposium on Computer Based Medical Systems (CBMS) 2023, L’Aquila, Italy, 2023 [pdf]
C5. K. Glavas, G. Prapas, K. D. Tzimourta, and M. G. Tsipouras, “Design and Implementation of a Real-time Brain-Computer Interface for an Electric Wheelchair”, In 2023 46th International Conference on Telecommunications and Signal Processing (TSP), Virtual conference, 2023. [pdf]
C6. K. Glavas, G. Prapas, K. D. Tzimourta, A. T. Tzallas, N. Giannakeas and M. G. Tsipouras, “Intra-User Analysis Based on Brain-Computer Interface Controlled Game,” 2022 45th International Conference on Telecommunications and Signal Processing (TSP), Prague, Czech Republic, 2022, pp. 386-390, doi: 10.1109/TSP55681.2022.9851336. [pdf]
C7. G. Prapas, K. Glavas, A. T. Tzallas, K. D. Tzimourta, N. Giannakeas and M. G. Tsipouras, “Motor Imagery Approach for BCI Game Development,” In 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Ioannina, Greece, 2022, pp. 1-5, doi: 10.1109/SEEDA-CECNSM57760.2022.9932937. [pdf]
C8. Y. Misirlis, K. D. Tzimourta, P. Angelidis, N. Giannakeas, A. T. Tzallas and M. G. Tsipouras, “Pediatric Epilepsy Assessment Based on EEG Analysis,” 2022 45th International Conference on Telecommunications and Signal Processing (TSP), Prague, Czech Republic, 2022, pp. 377-380, doi: 10.1109/TSP55681.2022.9851298. [pdf]
C9. V. Aspiotis, D. Peschos, K. D. Tzimourta, M. G. Tsipouras, A. Abosaleh, E. Antoniou, N. Giannakeas A. T. Tzallas and E. Glavas, “Active touch classification using EEG signals,” 2021 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Preveza, Greece, 2021, pp. 1-5, doi: 10.1109/SEEDA-CECNSM53056.2021.9566257. [pdf]
C10. P. Christodoulides, V. Zakopoulou, K. D. Tzimourta, A. T. Tzallas, D. Peschos, “The Contribution of EEG Recordings to the Audiovisual Recognition of Words in University Students with Dyslexia”. In Psychological Applications and Trends 2021 (InPACT 2021), Portugal, 2021, pp. 374 – 378, doi: 10.36315/2021inpact077 [pdf]
C11. K. Sakkas, A. Tsogka, N. Giannakeas, K. D. Tzimourta, A. T. Tzallas and E. Glavas, “Applied Virtual Reality in 3D Geometry,” In 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Ioannina, Greece, 2022, pp. 1-5, doi: 10.1109/SEEDA-CECNSM57760.2022.9932948. [pdf]
C12. K. Sakkas, A. Tsogka, A. Gkimitzoudis, N. Giannakeas, K. D. Tzimourta, M. G. Tsipouras and A. T. Tzallas, “Analysis of Emotions through the Use of Physiological Signals,” In 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Ioannina, Greece, 2022, pp. 1-7, doi: 10.1109/SEEDA-CECNSM57760.2022.9932976. [pdf]
C13. K. Sakkas, N. E. Ntagka, P. Vinni, P. Artemi, A. Anagnostakis, N. Giannakeas, K. D. Tzimourta, A. T. Tzallas and E. Glavas, “A survey on the awareness on Virtual Reality, Internet of Things and Blockchain in the 4th IR era,” In 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Ioannina, Greece, 2022, pp. 1-6, doi: 10.1109/SEEDA-CECNSM57760.2022.9932968. [pdf]
C14. K. D. Tzimourta, A. T. Tzallas, N. Giannakeas, L. G. Astrakas, D. G. Tsalikakis and M. G. Tsipouras, “Epileptic Seizures Classification Based on Long-Term EEG Signal Wavelet Analysis”. In Precision Medicine Powered by pHealth and Connected Health, Thessaloniki, Greece, 2018, pp. 165-169, doi: 10.1007/978-981-10-7419-6_28 [pdf]
C15. K. D. Tzimourta, L. G. Astrakas, M. G. Tsipouras, N. Giannakeas, A. T. Tzallas and S. Konitsiotis, “Wavelet Based Classification of Epileptic Seizures in EEG Signals,” 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), Thessaloniki, Greece, 2017, pp. 35-39, doi: 10.1109/CBMS.2017.116. [pdf]
C16. A. T. Tzallas, N. Giannakeas, K. Zoulis, M. G. Tsipouras, E. Glavas, K. D. Tzimourta, L. G. Astrakas, S. Konitsiotis, “EEG Classification and Short-Term Epilepsy Prognosis Using Brain Computer Interface Software,” [poster presentation], 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), Thessaloniki, Greece, 2017, pp. 349-353, doi: 10.1109/CBMS.2017.97 [pdf]
EA1. K. Glavas, G. Prapas, F. Gramouseni, B. Cekani, K. D. Tzimourta and M.G. Tsipouras (2023, Oct 06-07), “Enhancing Motor Imagery Skills Through Extensive BCI Game Training” [poster presentation], 10th Panhellenic Conference on Biomedical Engineering, Thessaloniki, Greece. [pdf]
ΕΑ2. Θεοδωρίδου Ν., Βλάικου ΑΜ., Παπαγεωργίου Κ., Χονδρού Β., Ζακοπούλου Β., Χριστοδουλίδης Π., Τζημούρτα Κ., Τζάλλας Α., Τσάμης Κ., Πέσχος Δ., Σγουρού Α., Σύρρου Μ., Μιχαηλίδης Θ., (2021, 20-21 Νοεμβρίου) ΑΝΑΠΤΥΞΙΑΚΗ ΔΥΣΛΕΞΙΑ: ΗΛΕΚΤΡΟΕΓΚΕΦΑΛΟΓΡΑΦΗΜΑ (ΗΕΓ) ΚΑΙ ΜΟΡΙΑΚΑ ΕΥΡΗΜΑΤΑ [poster presentation], 4ο Πανελλήνιο Συνέδριο “Διερευνώντας το γονιδίωμα του ανθρώπου, αντιμετωπίζοντας τα γενετικά νοσήματα”, διαδικτυακό συνέδριο [pdf]
EA3. Tzimourta K. D., Giannakeas N., Tzallas A.T., Afrantou T., Ioannidis P., Grigoriadis N., Tsalikakis D. G., and Tsipouras M. G. (2021, May 09-10), “ALZHEIMER’S DISEASE SEVERITY ASSESSMENT FROM EEG” [poster presentation], 8th Panhellenic Conference on Biomedical Engineering, Athens, Greece, [pdf]
Scientific Journals with Impact Factor
| Scientific Journals | Publisher | Impact factor | Number of publications | Total |
|---|---|---|---|---|
|
6.6 |
1 |
6.6 |
||
|
4.9 |
1 |
4.9 |
||
|
4.0 |
1 |
4.0 |
||
|
3.4 |
4 |
13.6 |
||
|
3.4 |
3 |
10.2 |
||
|
3.1 |
1 |
3.1 |
||
|
3.7 |
1 |
3.7 |
||
|
2.4 |
1 |
2.4 |
||
|
2.2 |
1 |
2.2 |
||
|
2.7 |
2 |
5.4 |
||
|
3.0 |
1 |
3.0 |
||
|
2.5 |
1 |
2.5 |
||
|
2.1 |
1 |
2.1 |
||
|
2.4 |
1 |
2.4 |
||
|
has not been announced yet |
1 |
|
||
|
1.5 |
2 |
3 |
||
|
has not been announced yet |
1 |
|
||
|
has not been announced yet |
1 |
|
||
|
has not been announced yet |
1 |
|
||
|
Total: |
|
|
26 |
69.8 |
|
Mean: |
|
|
|
2.696 |
Datasets
Τhe first available online database with clinical electroencephalographic (EEG) recordings from patients with Alzheimer’s Disease and Frontotemporal dementia.
Full Description (ReadMe): [link]
The dataset is publicly available in OpenNeuro platform.
Citation:
A. Miltiadous, K.D. Tzimourta, T. Afrantou, P. Ioannidis, N. Grigoriadis, D.G. Tsalikakis, P. Angelidis, M.G. Tsipouras, E. Glavas, N. Giannakeas, and A.T. Tzallas. “A Dataset of Scalp EEG Recordings of Alzheimer’s Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG”. Data, vol. 8, p.95, June 2023. [Available:] https://doi.org/10.3390/data8060095
Citations
Source: Scholar
Source: Scopus
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