{"id":24,"date":"2022-05-01T11:46:32","date_gmt":"2022-05-01T11:46:32","guid":{"rendered":"http:\/\/ktzimourta.com\/?page_id=24"},"modified":"2026-04-15T22:41:48","modified_gmt":"2026-04-15T19:41:48","slug":"publications","status":"publish","type":"page","link":"https:\/\/ktzimourta.com\/el\/publications\/","title":{"rendered":"\u0394\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03cd\u03c3\u03b5\u03b9\u03c2"},"content":{"rendered":"\t\t
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J1. A. Ntetska, P. N. Smyrlis, F. Dimaraki, K. D.<\/strong> Tzimourta<\/strong>, M. G. Tsipouras and P. Angelidis, “From Pixels to Prognosis: Deep Learning Methods in Abdominal Aortic Aneurysm Imaging,” in\u00a0IEEE Access<\/em>, doi: 10.1109\/ACCESS.2025.3644792<\/a>. [pdf<\/a>]<\/p>

J2. A. Ntetska, A. Mimouli, K.D. Tzimourta<\/strong>, P. Angelidis, M. G. Tsipouras. “A Deep Learning Approach to Classifying User Performance in BCI Gaming”,\u00a0Electronics,\u00a0<\/em>vol.14, p. 4957, 2025. Available: https:\/\/www.mdpi.com\/2079-9292\/14\/24\/4974<\/a> [pdf<\/a>]<\/p>

J3. O. Anastasiadou, P. Mpogiatzidis, K. D. Tzimourta<\/strong>, P. Angelidis. “Digital Divide: Contrasting Provider and User Insights on Healthcare Services During the COVID-19 Pandemic,” Healthcare, <\/em>vol. 13, p. 1803, 2025.<\/b> Available: https:\/\/doi.org\/10.3390\/healthcare13151803<\/a><\/p>

J4. K.D.\u00a0Tzimourta<\/strong>, \u201cHuman-Centered Design and Development in Digital Health: Approaches, Challenges, and Emerging Trends,\u201d Cureus, <\/em>vol. 17, no. 6, p. e85897, 2025. Available: \u00a0https:\/\/doi.org\/10.7759\/cureus.85897<\/a> [pdf<\/a>]<\/p>

J5. K.D.<\/strong> Tzimourta<\/strong>, “Machine Learning Algorithms in EEG Analysis of Kleefstra Syndrome: Current Evidence and Future Directions,” Sensors<\/em>, vol. 25, no.11, p. 3420, 2025. Available: https:\/\/www.mdpi.com\/1424-8220\/25\/11\/3420<\/a> [pdf<\/a>]<\/p>

J6. A. Ntetska, A. Miltiadous, M. G. Tsipouras, K. D.<\/strong> Tzimourta<\/strong>, T. Afrantou, P. Ioannidis, D. G. Tsalikakis, K. Sakkas, E. D. Oikonomou and N. Grigoriadis, “A Complementary Dataset of Scalp EEG Recordings Featuring Participants with Alzheimer\u2019s Disease, Frontotemporal Dementia, and Healthy Controls, Obtained from Photostimulation EEG,” Data<\/em>, vol. 10, no. 5, p. 64, 2025. Available: https:\/\/doi.org\/10.3390\/data10050064<\/a> [pdf<\/a>]<\/p>

J7. K. D.<\/strong> Tzimourta<\/strong>, M. G. Tsipouras, P. Angelidis, D. G. Tsalikakis and E. Orovou, “Maternal Health Risk Detection: Advancing Midwifery with Artificial Intelligence,” Healthcare<\/em>, vol. 13, no. 7, p. 833, 2025. Available: https:\/\/doi.org\/10.3390\/healthcare13070833<\/a> [pdf<\/a>]<\/p>

J8. E. Orovou, K. D.<\/strong> Tzimourta<\/strong>, M. Tzitiridou-Chatzopoulou, A. Kakatosi, and A. Sarantaki,, “Artificial Intelligence in Assisted Reproductive Technology: A New Era in Fertility Treatment,” Cureus<\/em>, vol. 17, no. 4, 1\u20139, 2025. Available: https:\/\/doi.org\/10.7759\/cureus.81568<\/a> [pdf<\/a>]<\/p>

J9. A. Sarantaki, A. Nomikou, K. Tzimourta<\/strong>, E. Orovou, K. Gourounti, and S. Barbounaki, “Fuzzy\u2011set qualitative comparative analysis and fuzzy cognitive maps: Exploring pregnancy outcomes and maternal depression,” Med. Int.<\/em>, vol. 5, no. 3, pp. 1\u201312, 2025. [Online]. Available: https:\/\/doi.org\/10.3390\/mi5030001<\/a> [pdf<\/a>]<\/p>

J10. K. Stefanou, K. D.<\/strong> Tzimourta<\/strong>, 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\u2019s disease detection using EEG spectrogram representations,” J. Pers. Med.<\/em>, vol. 15, no. 1, p. 27, 2025. [Online]. Available: https:\/\/doi.org\/10.3390\/jpm15010027<\/a> [pdf<\/a>]<\/p>

J11. K. Glavas, K. D.<\/strong> Tzimourta<\/strong>, 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<\/a> [pdf<\/a>]<\/p>

J12. K. Glavas, K. D.<\/strong> Tzimourta<\/strong>, P. Angelidis, S. Bibi and M. G. Tsipouras, “Brain-Computer Interface Controlled Drones: A Systematic Review” IEEE Access<\/em>, vol. 12, pp. 61279-61300, 2024, doi: 10.1109\/ACCESS.2024.3392008. [Online]. Available: https:\/\/doi.org\/10.3390\/brainsci14020139<\/a> [pdf<\/a>]<\/p>

J13. A.\u202fMiltiadous, V.\u202fAspiotis, D.\u202fPeschos, K.\u202fD.\u202fTzimourta<\/strong>, A.\u202fH.\u202fS.\u202fAbosaleh, N.\u202fGiannakeas and A.\u202fTzallas, “An Ensemble Method for EEG\u2011based Texture Discrimination during Open Eyes Active Touch”, Engineering, Technology & Applied Science Research, vol.\u202f14, no.\u202f1, pp.\u202f12676\u201112687,\u202f2024, doi: 10.48084\/etasr.6455. [Online]. Available: https:\/\/doi.org\/10.48084\/etasr.6455<\/a> [pdf<\/a>]<\/p>

J14. D. Theodoridou, C.O. Tsiantis, A.M. Vlaikou, V. Chondrou, V. Zakopoulou, P. Christodoulides, E.D. Oikonomou, K. D.<\/strong> Tzimourta<\/strong>, C. Kostoulas, A.T. Tzallas, et al. “Developmental Dyslexia: Insights from EEG-Based Findings and Molecular Signatures\u2014A Pilot Study”. Brain Sciences,<\/em> vol. 14, no. 139, Jan. 2024, doi: 10.3390\/brainsci14020139. [Online]. Available: https:\/\/doi.org\/10.3390\/brainsci14020139<\/a> [pdf<\/a>]<\/p>

J15. F. Gramouseni, K. D.<\/strong> Tzimourta<\/strong>, P. Angelidis, N. Giannakeas, and M. G. Tsipouras, \u201cCognitive Assessment Based on Electroencephalography Analysis in Virtual and Augmented Reality Environments, Using Head Mounted Displays: A Systematic Review,\u201d\u00a0Big Data and Cognitive Computing<\/i>, vol. 7, no. 4, p. 163, Oct. 2023, doi: 10.3390\/bdcc7040163. [Online]. Available: http:\/\/dx.doi.org\/10.3390\/bdcc7040163 <\/a>[pdf<\/a>]<\/p>

J16. A. Miltiadous, E. Gionanidis, K. D<\/strong>. Tzimourta<\/strong>, N. Giannakeas, A. T. Tzallas, \u201cDICE-net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals\u201d, IEEE Access, <\/em>vol. 11, pp. 71840-71858, 2023. doi: 10.1109\/ACCESS.2023.3294618<\/a>. [pdf<\/a>]<\/p><\/div>

J17. G. Prapas, K. Glavas, K. D.<\/strong> Tzimourta<\/strong>, A. T. Tzallas, and M. G. Tsipouras, \u201cMind the Move: Developing a Brain-Computer Interface Game with Left-Right Motor Imagery,\u201d <\/span>Information<\/em>, vol. 14, no. 7, p. 354, Jun. 2023, doi: 10.3390\/info14070354. [Online]. Available: <\/span>http:\/\/dx.doi.org\/10.3390\/info14070354.<\/a> [pdf<\/a>]<\/p>

J18. A. Miltiadous, K. D.<\/strong> Tzimourta<\/strong>, T. Afrantou, P. Ioannidis, N. Grigoriadis, D. G. Tsalikakis, P. Angelidis, M. G. Tsipouras, E. Glavas, N. Giannakeas and A. T. Tzallas, \u201cA Dataset of Scalp EEG Recordings of Alzheimer\u2019s Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG,\u201d\u00a0Data<\/em>, vol. 8, no. 6, p. 95, May 2023, doi: 10.3390\/data8060095. [Online]. Available: http:\/\/dx.doi.org\/10.3390\/data8060095.<\/a> [pdf<\/a>]<\/p>

J19. A. Miltiadous, K. D.<\/strong> Tzimourta<\/strong>, 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<\/em>, vol. 11, pp. 564-594, 2023, doi: 10.1109\/ACCESS.2022.3232563. [Online]. Available: http:\/\/dx.doi.org\/10.1109\/<\/a>ACCESS.2022.3232563<\/a>. [pdf<\/a>]<\/p>

J20. K. Glavas, G. Prapas, K. D.<\/strong> Tzimourta<\/strong>, N. Giannakeas, and M. G. Tsipouras, \u201cEvaluation of the User Adaptation in a BCI Game Environment,\u201d Applied Sciences,<\/em> vol. 12, no. 24, p. 12722, Dec. 2022, doi: 10.3390\/app122412722. [Online]. Available: http:\/\/dx.doi.org\/10.3390\/app122412722. [<\/a>pdf<\/a>]<\/a><\/p>

J21. V. Christou, A. Miltiadous, I. Tsoulos, E. Karvounis, K. D.<\/strong> Tzimourta<\/strong>, M. G. Tsipouras, N. Anastasopoulos, A. T. Tzallas and N. Giannakeas, \u201cEvaluating the Window Size\u2019s Role in Automatic EEG Epilepsy Detection,\u201d\u00a0Sensors<\/em>, vol. 22, no. 23, p. 9233, Nov. 2022, doi: 10.3390\/s22239233. [Online]. Available: http:\/\/dx.doi.org\/10.3390\/s22239233.<\/a> [pdf<\/a>]<\/p>

J22. V. Aspiotis, A. Miltiadous, K. Kalafatakis, K. D. Tzimourta<\/strong>, N. Giannakeas, M. G. Tsipouras, D. Peschos, E.\u00a0 Glavas and A. T. Tzallas, \u201cAssessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG,\u201d\u00a0Sensors<\/em>, vol. 22, no. 15, p. 5792, Aug. 2022, doi: 10.3390\/s22155792. [Online]. Available: http:\/\/dx.doi.org\/10.3390\/s22155792<\/a>. [pdf<\/a>]<\/p><\/div>

J23. P. Christodoulides, A. Miltiadous A., K. D.<\/strong> Tzimourta<\/strong>, et al.<\/em> \u201cClassification of EEG Signals from Young Adults with Dyslexia combining a Brain Computer Interface and an Interactive Linguistic Software Tool\u201d. Biomedical Signal Processing & Control<\/em>, vol. 76, p. 103646, July 2022, doi: 10.1016\/j.bspc.2022.103646. [Online]. Available: https:\/\/doi.org\/10.1016\/j.bspc.2022.103646.<\/a> [pdf<\/a>]<\/p><\/div>

J24. A. Miltiadous, K. D.<\/strong> Tzimourta<\/strong>, N. Giannakeas, M.G. Tsipouras, T. Afrantou, P. Ioannidis and A. T. Tzallas, \u201cAlzheimer\u2019s Disease and Frontotemporal Dementia: A Robust Classification Method of EEG Signals and a Comparison of Validation Methods,\u201d\u00a0<\/span>Diagnostics<\/em>, vol. 11, no. 8, p. 1437, Aug. 2021, doi: 10.3390\/diagnostics11081437. [Online]. Available: <\/span>http:\/\/dx.doi.org\/10.3390\/diagnostics11081437.<\/a> [pdf<\/a>]<\/p>

J25. K. D. Tzimourta<\/strong>, V. Christou, A. T. Tzallas, N. Giannakeas, L. G. Astrakas, P. Angelidis, D. Tsalikakis and M. G. Tsipouras, \u201cMachine learning algorithms and statistical approaches for Alzheimer\u2019s disease analysis based on resting-state EEG recordings: a systematic review\u201d, International journal of neural systems<\/em>, vol. 31, no. 5, p. 2130002, May 2021, doi: 10.1142\/S0129065721300023. [Online]. Available: http:\/\/dx.doi.org\/10.1142\/<\/a>S0129065721300023<\/a>. [pdf<\/a>]<\/p><\/div>

J26. V. Zakopoulou, K. D.<\/strong> Tzimourta<\/strong>, G. Ntritsos, A. T. Tzallas, M. G. Tsipouras, L. G. Astrakas, P. Christodoulides, I. Paliokas, V. Zakopoulos and N. Giannakeas, \u201cTowards Correct and Safe Diagnosis of Specific Learning Disorder in Preschool Age. The perspective of Early Multi-collector Diagnostic Approaches. A Pilot Study\u201d, <\/span>Acta Scientific Neurology<\/em>, vol. 4, no. 6, p. 53, June 2021. [pdf<\/a>]<\/span><\/p>

J27. E. Antoniou, P. Bozios, V. Christou, K. D.<\/strong> Tzimourta<\/strong>, K. Kalafatakis, M. G. Tsipouras, N. Giannakeas and A. T. Tzallas, \u201cEEG-Based Eye Movement Recognition Using Brain\u2013Computer Interface and Random Forests,\u201d\u00a0Sensors<\/em>, vol. 21, no. 7, p. 2339, Mar. 2021, doi: 10.3390\/s21072339. [Online]. Available: http:\/\/dx.doi.org\/10.3390\/s21072339<\/a>. [pdf<\/a>]<\/p><\/div>

J28. K. D.<\/strong> Tzimourta<\/strong>, 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, \u201cAnalysis of EEG signals complexity regarding Alzheimer\u2019s Disease\u201d, <\/span>Computers and Electrical Engineering<\/em>, vol. 76, p. 198-212, June 2019, doi: 10.1016\/j.compeleceng.2019.03.018. [Online]. Available: <\/span>https:\/\/doi.org\/10.1016\/j.compeleceng.2019.03.018.\u00a0<\/a> [pdf<\/a>]<\/p>

J29. K. D. Tzimourta<\/strong>, N. Giannakeas, A. T. Tzallas, L. Astrakas, T. Afrantou, P. Ioannidis, N. Grigoriadis, P. Angelidis, D. G. Tsalikakis and M. G. Tsipouras \u201cEEG Window Length Evaluation for the Detection of Alzheimer\u2019s Disease over Different Brain Regions\u201d, Brain sciences<\/em>, vol. 9, no. 4, p. 81, Apr. 2019, doi: 10.3390\/brainsci9040081. [Online]. Available: https:\/\/doi.org\/10.3390\/brainsci9040081.<\/a> [pdf<\/a>]<\/p>

J30. K. D.<\/strong> Tzimourta<\/strong>, A. T. Tzallas, N. Giannakeas, L. G. Astrakas, D. G. Tsalikakis, P. Angelidis and M. G. Tsipouras, \u201cA robust methodology for classification of epileptic seizures in EEG signals\u201d, Health and Technology<\/em>, 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.<\/a> [pdf<\/a>]<\/p>

J31. K. D. Tzimourta<\/strong>, I. Tsoulos, T. Bilero, A. Tzallas, M. Tsipouras, and N. Giannakeas, \u201cDirect Assessment of Alcohol Consumption in Mental State Using Brain Computer Interfaces and Grammatical Evolution,\u201d\u00a0Inventions<\/em>, vol. 3, no. 3, p. 51, Jul. 2018, doi: 10.3390\/inventions3030051. [Online]. Available: http:\/\/dx.doi.org\/10.3390\/inventions3030051.<\/a> [pdf<\/a>]<\/p>

J32. K. D. Tzimourta<\/strong>, L. G. Astrakas, A. M. Gianni, A. T. Tzallas, N. Giannakeas, I. Paliokas and M. G. Tsipouras, \u201cEvaluation of window size in classification of epileptic short-term EEG signals using a Brain Computer Interface software\u201d, Engineering, Technology & Applied Science Research<\/em>, vol. 8, no. 4, p. 3093-3097, Aug. 2018, doi: 10.48084\/etasr.2031. [Online]. Available: https:\/\/doi.org\/10.48084\/etasr.2031.<\/a> [pdf<\/a>]<\/p>

J33. K. D. Tzimourta<\/strong>, A. Tsilimbaris, K. Tzioukalia, A. T. Tzallas, M. G. Tsipouras, L. G. Astrakas and N. Giannakeas, \u201cEEG-based automatic sleep stage classification\u201d, Biomedical Journal of Scientific & Technical Research,<\/em> vol. 1, no. 6, p. 6032-6037, Aug. 2018, doi: 10.26717\/BJSTR.2018.07.001535. [Online]. Available: https:\/\/doi.org\/10.26717\/<\/a>BJSTR.2018.07.001535.<\/a> [pdf<\/a>]<\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t

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C1. A. Ntetska, A. Miltiadous, \u00a0M. G. Tsipouras, P. Angelidis N. Giannakeas, A. T. Tzallas and K. D.\u00a0Tzimourta<\/strong>, \u201cEnsuring Quality of EEG Data Sharing for the Development of Human-Centered Machine Learning and Artificial Intelligence Systems\u201d, In 18th International Conference on the. Quality of Information and Communications Technology (QUATIC 2025),<\/em> Lisbon, Portugal, 3-5 Sept. 2025, [pdf<\/a>]<\/u><\/p>

C2. P. Bonotis, P. Angelidis, K. D.\u00a0Tzimourta <\/strong>and S. Bibi, \u201cEnabling Dynamic Consent through AI and Blockchain: The CONSENT Platform\u201d, Studies in health technology and informatics<\/i>,\u00a0332<\/i>, 330-334, doi: 10.3233\/SHTI251556. PMID: 41041799. [pdf<\/a>]<\/p>

C3. P. N. Smyrlis, A. Ntetska, T. Karamitsou, F. Dimaraki, K. D. Tzimourta<\/strong>, 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)<\/em>, Athens, Greece, 2024, pp. 174-178, doi: 10.1109\/SEEDA-CECNSM63478.2024.00039. [pdf<\/a>]<\/p>

C4. P. N. Smyrlis, G. R. Stancu, F. Dimaraki, A. Ntetska, T. Karamitsou, K. D. Tzimourta<\/strong>, 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)<\/em>, Athens, Greece, 2024, pp. 163-167, doi: 10.1109\/SEEDA-CECNSM63478.2024.00037 [pdf<\/a>]<\/p>

C5. A. Miltiadous, K. D. Tzimourta<\/strong>, V. Aspiotis, T. Afrantou, M. G. Tsipouras, N. Giannakeas, E. Glavas and A. T. Tzallas, ” Enhanced Alzheimer\u2019s disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features\u201d, IEEE 36th International Symposium on Computer Based Medical Systems (CBMS) 2023, <\/em>L’Aquila, Italy, 2023 [pdf<\/a>]<\/p>

C6. K. Glavas, G. Prapas, K. D. Tzimourta<\/strong>, and M. G. Tsipouras, “Design and Implementation of a Real-time Brain-Computer Interface for an Electric Wheelchair\u201d, In 2023 46th International Conference on Telecommunications and Signal Processing (TSP)<\/em>, Virtual conference, 2023. [pdf<\/a>]<\/p>

C7. K. Glavas, G. Prapas, K. D. Tzimourta<\/strong>, A. T. Tzallas, N. Giannakeas and M. G. Tsipouras, “Intra-User Analysis Based on Brain-Computer Interface Controlled Game,”\u00a02022 45th International Conference on Telecommunications and Signal Processing (TSP)<\/em>, Prague, Czech Republic, 2022, pp. 386-390, doi: 10.1109\/TSP55681.2022.9851336. [pdf<\/a>]<\/p>

C8. G. Prapas, K. Glavas, A. T. Tzallas, K. D. Tzimourta<\/strong>, N. Giannakeas and M. G. Tsipouras, “Motor Imagery Approach for BCI Game Development,”\u00a0In 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)<\/em>, Ioannina, Greece, 2022, pp. 1-5, doi: 10.1109\/SEEDA-CECNSM57760.2022.9932937. [pdf<\/a>]<\/p>

C9. Y. Misirlis, K. D. Tzimourta<\/strong>, P. Angelidis, N. Giannakeas, A. T. Tzallas and M. G. Tsipouras, “Pediatric Epilepsy Assessment Based on EEG Analysis,”\u00a02022 45th International Conference on Telecommunications and Signal Processing (TSP)<\/em>, Prague, Czech Republic, 2022, pp. 377-380, doi: 10.1109\/TSP55681.2022.9851298. [pdf<\/a>]<\/p>

C10. V. Aspiotis, D. Peschos, K. D. Tzimourta<\/strong>, M. G. Tsipouras, A. Abosaleh, E. Antoniou, N. Giannakeas A. T. Tzallas and E. Glavas, “Active touch classification using EEG signals,”\u00a02021 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)<\/em>, Preveza, Greece, 2021, pp. 1-5, doi: 10.1109\/SEEDA-CECNSM53056.2021.9566257. [pdf<\/a>]<\/p>

C11. P. Christodoulides, V. Zakopoulou, K. D. Tzimourta<\/strong>, A. T. Tzallas, D. Peschos, \u201cThe Contribution of EEG Recordings to the Audiovisual Recognition of Words in University Students with Dyslexia\u201d. In Psychological Applications and Trends 2021 (InPACT 2021),<\/em> Portugal, 2021, pp. 374 \u2013 378, doi: 10.36315\/2021inpact077 [pdf<\/a>]<\/p>

C12. K. Sakkas, A. Tsogka, N. Giannakeas, K. D. Tzimourta<\/strong>, A. T. Tzallas and E. Glavas, “Applied Virtual Reality in 3D Geometry,” In\u00a02022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)<\/em>, Ioannina, Greece, 2022, pp. 1-5, doi: 10.1109\/SEEDA-CECNSM57760.2022.9932948. [pdf<\/a>]<\/p>

C13. K. Sakkas, A. Tsogka, A. Gkimitzoudis, N. Giannakeas, K. D. Tzimourta<\/strong>, M. G. Tsipouras and A. T. Tzallas, “Analysis of Emotions through the Use of Physiological Signals,”\u00a0In 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)<\/em>, Ioannina, Greece, 2022, pp. 1-7, doi: 10.1109\/SEEDA-CECNSM57760.2022.9932976. [pdf<\/a>]<\/p>

C14. K. Sakkas, N. E. Ntagka, P. Vinni, P. Artemi, A. Anagnostakis, N. Giannakeas, K. D. Tzimourta<\/strong>, 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\u00a02022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)<\/em>, Ioannina, Greece, 2022, pp. 1-6, doi: 10.1109\/SEEDA-CECNSM57760.2022.9932968. [pdf<\/a>]<\/p>

C15. K. D. Tzimourta<\/strong>, A. T. Tzallas, N. Giannakeas, L. G. Astrakas, D. G. Tsalikakis and M. G. Tsipouras, \u201cEpileptic Seizures Classification Based on Long-Term EEG Signal Wavelet Analysis\u201d. In Precision Medicine Powered by pHealth and Connected<\/em> Health, <\/em>Thessaloniki, Greece, 2018, pp. 165-169, doi: 10.1007\/978-981-10-7419-6_28 [pdf<\/a>]<\/p>

C16. K. D. Tzimourta<\/strong>, 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),<\/em> Thessaloniki, Greece, 2017, pp. 35-39, doi: 10.1109\/CBMS.2017.116. [pdf<\/a>]<\/p>

C17. A. T. Tzallas, N. Giannakeas, K. Zoulis, M. G. Tsipouras, E. Glavas, K. D. Tzimourta<\/strong>, L. G. Astrakas, S. Konitsiotis, “EEG Classification and Short-Term Epilepsy Prognosis Using Brain Computer Interface Software,” [poster presentation<\/a>], 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)<\/em>, Thessaloniki, Greece, 2017, pp. 349-353, doi: 10.1109\/CBMS.2017.97 [pdf<\/a>]<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t

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DA1. A. C. Kalyvas, A. Efythymiou, M. Lima, K. D. Tzimourta<\/strong>, 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<\/em>, Helsinki, Finland, Jun. 2024. pp. 845, doi: 10.1111\/ene.16340\u00a0<\/a><\/p>

DA2. E. Orovou, A., Sarantaki, M.T., Chatzopoulou, & K. Tzimourta<\/strong> (2025). “Artificial intelligence in maternal care: A new frontier for midwifery.” [ oral presentation]. In 8th European Midwives Association Educational Conference 2025, Malta, Oct. 2025. European Journal of Midwifery<\/i>,\u00a09 (Supplement 1):A52, <\/i>doi:10.18332\/tid\/561538ipdmqb<\/a><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t

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EA1. K. Glavas, G. Prapas, F. Gramouseni, B. Cekani, K. D. Tzimourta<\/b> and M.G. Tsipouras (2023, Oct 06-07), \u201cEnhancing Motor Imagery Skills Through Extensive BCI Game Training\u201d [poster presentation<\/a>], 10th Panhellenic Conference on Biomedical Engineering, Thessaloniki, Greece. [pdf<\/a>]<\/p>

\u0395\u03912. \u0398\u03b5\u03bf\u03b4\u03c9\u03c1\u03af\u03b4\u03bf\u03c5 \u039d., \u0392\u03bb\u03ac\u03b9\u03ba\u03bf\u03c5 \u0391\u039c., \u03a0\u03b1\u03c0\u03b1\u03b3\u03b5\u03c9\u03c1\u03b3\u03af\u03bf\u03c5 \u039a., \u03a7\u03bf\u03bd\u03b4\u03c1\u03bf\u03cd \u0392., \u0396\u03b1\u03ba\u03bf\u03c0\u03bf\u03cd\u03bb\u03bf\u03c5 \u0392., \u03a7\u03c1\u03b9\u03c3\u03c4\u03bf\u03b4\u03bf\u03c5\u03bb\u03af\u03b4\u03b7\u03c2 \u03a0., \u03a4\u03b6\u03b7\u03bc\u03bf\u03cd\u03c1\u03c4\u03b1<\/strong>\u00a0\u039a., \u03a4\u03b6\u03ac\u03bb\u03bb\u03b1\u03c2 \u0391., \u03a4\u03c3\u03ac\u03bc\u03b7\u03c2 \u039a., \u03a0\u03ad\u03c3\u03c7\u03bf\u03c2 \u0394., \u03a3\u03b3\u03bf\u03c5\u03c1\u03bf\u03cd \u0391., \u03a3\u03cd\u03c1\u03c1\u03bf\u03c5 \u039c., \u039c\u03b9\u03c7\u03b1\u03b7\u03bb\u03af\u03b4\u03b7\u03c2 \u0398., (2021, 20-21 \u039d\u03bf\u03b5\u03bc\u03b2\u03c1\u03af\u03bf\u03c5) \u0391\u039d\u0391\u03a0\u03a4\u03a5\u039e\u0399\u0391\u039a\u0397 \u0394\u03a5\u03a3\u039b\u0395\u039e\u0399\u0391: \u0397\u039b\u0395\u039a\u03a4\u03a1\u039f\u0395\u0393\u039a\u0395\u03a6\u0391\u039b\u039f\u0393\u03a1\u0391\u03a6\u0397\u039c\u0391 (\u0397\u0395\u0393) \u039a\u0391\u0399 \u039c\u039f\u03a1\u0399\u0391\u039a\u0391 \u0395\u03a5\u03a1\u0397\u039c\u0391\u03a4\u0391 [poster presentation], 4\u03bf<\/sup> \u03a0\u03b1\u03bd\u03b5\u03bb\u03bb\u03ae\u03bd\u03b9\u03bf \u03a3\u03c5\u03bd\u03ad\u03b4\u03c1\u03b9\u03bf “\u0394\u03b9\u03b5\u03c1\u03b5\u03c5\u03bd\u03ce\u03bd\u03c4\u03b1\u03c2 \u03c4\u03bf \u03b3\u03bf\u03bd\u03b9\u03b4\u03af\u03c9\u03bc\u03b1 \u03c4\u03bf\u03c5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03bf\u03c5, \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03c2 \u03c4\u03b1 \u03b3\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03ac \u03bd\u03bf\u03c3\u03ae\u03bc\u03b1\u03c4\u03b1”, \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03c4\u03c5\u03b1\u03ba\u03cc \u03c3\u03c5\u03bd\u03ad\u03b4\u03c1\u03b9\u03bf [pdf<\/a>]<\/p>

EA3. Tzimourta<\/strong> K. D., Giannakeas N., Tzallas A.T., Afrantou T., Ioannidis P., Grigoriadis N., Tsalikakis D. G., and Tsipouras M. G. (2021, May 09-10), \u201cALZHEIMER\u2019S DISEASE SEVERITY ASSESSMENT FROM EEG\u201d [poster presentation<\/a>], 8th Panhellenic Conference on Biomedical Engineering, Athens, Greece, [pdf<\/a>]<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Datasets<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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1. A DATASET OF EEG RECORDINGS FROM: ALZHEIMER’S DISEASE, FRONTOTEMPORAL DEMENTIA, AND HEALTHY SUBJECTS<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\u03a4he first<\/strong><\/span> available online database with clinical electroencephalographic (EEG) recordings from patients with Alzheimer’s Disease<\/strong> and Frontotemporal dementia<\/strong>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Full Description (ReadMe)<\/span><\/strong>: [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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The dataset is publicly available in OpenNeuro<\/a> <\/strong>platform.<\/p>

This work was conducted in accordance with the Declaration of Helsinki and approved by the Scientific and Ethics Committee of AHEPA University Hospital, Aristotle University of Thessaloniki, under protocol number 142\/12-04-2023.<\/div><\/section>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Citation<\/strong>:<\/em><\/p>

A. Miltiadous, K.D. Tzimourta<\/strong>, 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\u2019s Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG”. Data, <\/em>vol. 8, p.95, June 2023. Available: https:\/\/doi.org\/10.3390\/data8060095<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2. A COMPLEMENTARY DATASET OF OPEN-EYES EEG RECORDINGS IN A PHOTO-STIMULATION SETTING FROM: ALZHEIMER’S DISEASE, FRONTOTEMPORAL DEMENTIA AND HEALTHY SUBJECTS<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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A complementary clinical EEG database with open-eyes recordings from Alzheimer’s<\/strong> Disease, Frontotemporal<\/strong> dementia patients, and healthy subjects, corresponding to the participants of the initial closed-eyes dataset.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Full Description (ReadMe)<\/span><\/strong>: [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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The dataset is publicly available in OpenNeuro<\/a> <\/strong>platform.<\/p>

This work was conducted in accordance with the Declaration of Helsinki and approved by the Scientific and Ethics Committee of AHEPA University Hospital, Aristotle University of Thessaloniki, under protocol number 142\/12-04-2023.<\/div><\/section>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Citation<\/strong>:<\/em><\/p>

A. Ntetska, A. Miltiadous, M. G. Tsipouras, K. D.\u00a0Tzimourta<\/strong>, T. Afrantou, P. Ioannidis, D. G. Tsalikakis, K. Sakkas, E. D. Oikonomou and N. Grigoriadis, \u201cA Complementary Dataset of Scalp EEG Recordings Featuring Participants with Alzheimer\u2019s Disease, Frontotemporal Dementia, and Healthy Controls, Obtained from Photostimulation EEG,\u201d Data, vol. 10, no. 5, p. 64, 2025. Available:\u00a0https:\/\/doi.org\/10.3390\/data10050064<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Disclaimer:<\/strong> The documents distributed from this page have been provided as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author\u2019s copyright. These works may not be reposted without the explicit permission of the copyright holder.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Journals 25 Conference Papers 10 PhD Dissertation 0 Citations 1900 i10-index 0 h-index 0 PUBLICATIONS IN SCIENTIFIC JOURNALS J1. A. Ntetska, P. N. Smyrlis, F. Dimaraki, K. D. Tzimourta, M. G. Tsipouras and P. Angelidis, “From Pixels to Prognosis: Deep Learning Methods in Abdominal Aortic Aneurysm Imaging,” in\u00a0IEEE Access, doi: 10.1109\/ACCESS.2025.3644792. [pdf] J2. A. Ntetska,Continue reading “Publications”<\/span> <\/path><\/svg><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-24","page","type-page","status-publish","hentry"],"featured_image_src":null,"yoast_head":"\nKaterina Tzimourta - Publications<\/title>\n\n\n\n\n\n\n\n\n\n\n\n\n\t\n\t\n\t\n\n\n\n\n\n\t\n