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Katerina D. Tzimourta

Observed names: K. D. Tzimourta, Katerina D Tzimourta, Katerina Tzimourta, Tzimourta, Katerina, Tzimourta, Katerina D.
ORCID: 0000-0001-9640-7005
Observed ORCID: 0000-0001-9640-7005
OpenAlex ID: A5050725088
A Dataset of Scalp EEG Recordings of Alzheimer’s Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG
2023 · Andreas Miltiadous, Katerina D. Tzimourta, et al. · Data · 347
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DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals
2023 · Andreas Miltiadous, Emmanouil Gionanidis, et al. · IEEE Access · 213
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Alzheimer’s Disease and Frontotemporal Dementia: A Robust Classification Method of EEG Signals and a Comparison of Validation Methods
2021 · Andreas Miltiadous, Katerina D. Tzimourta, et al. · Diagnostics · 171
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A robust methodology for classification of epileptic seizures in EEG signals
2018 · Katerina D. Tzimourta, Alexandros T. Tzallas, et al. · Health and Technology · 114
EEG Window Length Evaluation for the Detection of Alzheimer’s Disease over Different Brain Regions
2019 · Katerina D. Tzimourta, Nikolaos Giannakeas, et al. · Brain Sciences · 87
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EEG-Based Eye Movement Recognition Using Brain–Computer Interface and Random Forests
2021 · Evangelos Antoniou, Pavlos Bozios, et al. · Sensors · 83
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Machine Learning Algorithms and Statistical Approaches for Alzheimer’s Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review
2021 · Katerina D. Tzimourta, Vasileios Christou, et al. · International Journal of Neural Systems · 82
A Novel CNN-Based Framework for Alzheimer’s Disease Detection Using EEG Spectrogram Representations
2025 · Konstantinos Stefanou, Katerina D. Tzimourta, et al. · Journal of Personalized Medicine · 66
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Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review
2022 · Andreas Miltiadous, Katerina D. Tzimourta, et al. · IEEE Access · 57
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Analysis of electroencephalographic signals complexity regarding Alzheimer's Disease
2019 · Katerina D. Tzimourta, Theodora Afrantou, et al. · Computers & Electrical Engineering · 53
Classification of EEG signals from young adults with dyslexia combining a Brain Computer Interface device and an Interactive Linguistic Software Tool
2022 · Pavlos Christodoulides, Andreas Miltiadous, et al. · Biomedical Signal Processing and Control · 45
Epileptic Seizures Classification Based on Long-Term EEG Signal Wavelet Analysis
2017 · K. D. Tzimourta, A. T. Tzallas, et al. · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · 45
Human-Centered Design and Development in Digital Health: Approaches, Challenges, and Emerging Trends
2025 · Katerina D Tzimourta · Cureus · 43
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Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG
2022 · Vasileios Aspiotis, Andreas Miltiadous, et al. · Sensors · 39
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Evaluating the Window Size’s Role in Automatic EEG Epilepsy Detection
2022 · Vasileios Christou, Andreas Miltiadous, et al. · Sensors · 37
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Direct Assessment of Alcohol Consumption in Mental State Using Brain Computer Interfaces and Grammatical Evolution
2018 · Katerina D. Tzimourta, Ioannis Tsoulos, et al. · Inventions · 28
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Cognitive Assessment Based on Electroencephalography Analysis in Virtual and Augmented Reality Environments, Using Head Mounted Displays: A Systematic Review
2023 · Foteini Gramouseni, Katerina D. Tzimourta, et al. · Big Data and Cognitive Computing · 27
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Maternal Health Risk Detection: Advancing Midwifery with Artificial Intelligence
2025 · Katerina D. Tzimourta, Markos G. Tsipouras, et al. · Healthcare · 24
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A Complementary Dataset of Scalp EEG Recordings Featuring Participants with Alzheimer’s Disease, Frontotemporal Dementia, and Healthy Controls, Obtained from Photostimulation EEG
2025 · Aimilia Ntetska, Andreas Miltiadous, et al. · Data · 21
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Wavelet Based Classification of Epileptic Seizures in EEG Signals
2017 · Katerina D. Tzimourta, Loukas G. Astrakas, et al. · Proceedings - IEEE Symposium on Computer-Based Medical Systems · 21
Enhanced Alzheimer's disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features
2023 · Andreas Miltiadous, Katerina D. Tzimourta, et al. · Proceedings - IEEE Symposium on Computer-Based Medical Systems · 20
Mind the Move: Developing a Brain-Computer Interface Game with Left-Right Motor Imagery
2023 · Georgios Prapas, Kosmas Glavas, et al. · Information · 19
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Evaluation of the User Adaptation in a BCI Game Environment
2022 · Kosmas Glavas, Georgios Prapas, et al. · Applied Sciences · 17
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Motor Imagery Approach for BCI Game Development
2022 · Georgios Prapas, Kosmas Glavas, et al. · South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM) · 15
Evaluation of window size in classification of epileptic short-term EEG signals using a Brain Computer Interface software
2018 · K. D. Tzimourta, L. G. Astrakas, et al. · Engineering Technology & Applied Science Research · 15
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Works count: 76
Citation count: 1,846
H-index: 21
I10-index: 31
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