Automatic arrhythmia detection based on time and time-frequency analysis of heart rate variability. - Markos G. Tsipouras; Dimitrios I. Fotiadis (Comput. Methods Programs Biomed., 2004)

An arrhythmia classification system based on the RR-interval signal. - Markos G. Tsipouras; Dimitrios I. Fotiadis; D. A. Sideris (Artif. Intell. Medicine, 2005)

A Method for Fetal Heart Rate Extraction Based on Time-Frequency Analysis. - Evaggelos C. Karvounis; Markos G. Tsipouras; Dimitrios I. Fotiadis; Katerina K. Naka (CBMS, 2006)

A Decision Support System for the Diagnosis of Coronary Artery Disease. - Markos G. Tsipouras; Themis P. Exarchos; Dimitrios I. Fotiadis; Anna P. Kotsia; Aikaterinh Naka; Lampros K. Michalis (CBMS, 2006)

A Comparison of Methodologies for Fuzzy Expert System Creation - Application to Arrhythmic Beat Classification. - Markos G. Tsipouras; Themis P. Exarchos; Dimitrios I. Fotiadis (EMBC, 2006)

A Time-Frequency Based Method for the Detection of Epileptic Seizures in EEG Recordings. - Alexandros T. Tzallas; Markos G. Tsipouras; Dimitrios I. Fotiadis (CBMS, 2007)

A methodology for the automated creation of fuzzy expert systems for ischaemic and arrhythmic beat classification based on a set of rules obtained by a decision tree. - Themis P. Exarchos; Markos G. Tsipouras; Costas P. Exarchos; Costas Papaloukas; Dimitrios I. Fotiadis; Lampros K. Michalis (Artif. Intell. Medicine, 2007)

Automatic Seizure Detection Based on Time-Frequency Analysis and Artificial Neural Networks. - Alexandros T. Tzallas; Markos G. Tsipouras; Dimitrios I. Fotiadis (Comput. Intell. Neurosci., 2007)

A Framework for Fuzzy Expert System Creation - Application to Cardiovascular Diseases. - Markos G. Tsipouras; Costas Voglis; Dimitrios I. Fotiadis (IEEE Trans. Biomed. Eng., 2007)

An Automated Methodology for Fetal Heart Rate Extraction From the Abdominal Electrocardiogram. - E. C. Karvounis; Markos G. Tsipouras; Dimitrios I. Fotiadis; K. K. Naka (IEEE Trans. Inf. Technol. Biomed., 2007)

Automated fuzzy model generation through weight and fuzzification parameters' optimization. - Markos G. Tsipouras; Themis P. Exarchos; Dimitrios I. Fotiadis (FUZZ-IEEE, 2008)

A two-stage methodology for sequence classification based on sequential pattern mining and optimization. - Themis P. Exarchos; Markos G. Tsipouras; Costas Papaloukas; Dimitrios I. Fotiadis (Data Knowl. Eng., 2008)

A methodology for automated fuzzy model generation. - Markos G. Tsipouras; Themis P. Exarchos; Dimitrios I. Fotiadis (Fuzzy Sets Syst., 2008)

Automated Diagnosis of Coronary Artery Disease Based on Data Mining and Fuzzy Modeling. - Markos G. Tsipouras; Themis P. Exarchos; Dimitrios I. Fotiadis; Anna P. Kotsia; K. V. Vakalis; K. K. Naka; Lampros K. Michalis (IEEE Trans. Inf. Technol. Biomed., 2008)

Ευφυείς μέθοδοι διάγνωσης καρδιαγγειακών παθήσεων - Markos G. Tsipouras (2008)

An optimized sequential pattern matching methodology for sequence classification. - Themis P. Exarchos; Markos G. Tsipouras; Costas Papaloukas; Dimitrios I. Fotiadis (Knowl. Inf. Syst., 2009)

Detection of Fetal Heart Rate Through 3-D Phase Space Analysis From Multivariate Abdominal Recordings. - Evaggelos Karvounis; Markos G. Tsipouras; Dimitrios I. Fotiadis (IEEE Trans. Biomed. Eng., 2009)

Epileptic Seizure Detection in EEGs Using Time-Frequency Analysis. - Alexandros T. Tzallas; Markos G. Tsipouras; Dimitrios I. Fotiadis (IEEE Trans. Inf. Technol. Biomed., 2009)

On Assessing Motor Disorders in Parkinson's Disease. - Markos G. Tsipouras; Alexandros T. Tzallas; Evanthia E. Tripoliti; Georgios Rigas 001; Panagiota Bougia; Dimitrios I. Fotiadis; Sofia Tsouli; Spiros Konitsiotis (MobiHealth, 2010)

On automated assessment of Levodopa-induced dyskinesia in Parkinson's disease. - Markos G. Tsipouras; Alexandros T. Tzallas; Dimitrios I. Fotiadis; Spyridon Konitsiotis (EMBC, 2011)

A treatment decision support system for patients receiving Ventricular Assist Device (VAD) therapy. - Evaggelos Karvounis; Kostas A. Stefanou; Themis P. Exarchos; Alexandros T. Tzallas; Markos G. Tsipouras; Dimitrios I. Fotiadis (BHI, 2012)

A Gaussian Mixture Model to detect suction events in rotary blood pumps. - Alexandros T. Tzallas; George Rigas 001; Evaggelos Karvounis; Markos G. Tsipouras; Yorgos Goletsis; Krzysztof Zielinski; Libera Fresiello; Dimitrios I. Fotiadis; Maria Giovanna Trivella (BIBE, 2012)

Knowledge editor and execution engine development for optimal ventricular assist device weaning. - Evaggelos C. Karvounis; Markos G. Tsipouras; Alexandros T. Tzallas; Yorgos Goletsis; Dimitrios I. Fotiadis; John V. Terrovitis; Maria Giovanna Trivella (EMBC, 2012)

Automated knowledge-based fuzzy models generation for weaning of patients receiving Ventricular Assist Device (VAD) therapy. - Markos G. Tsipouras; Evaggelos C. Karvounis; Alexandros T. Tzallas; Yorgos Goletsis; Dimitrios I. Fotiadis; Stamatis Adamopoulos; Maria Giovanna Trivella (EMBC, 2012)

An automated methodology for levodopa-induced dyskinesia: Assessment based on gyroscope and accelerometer signals. - Markos G. Tsipouras; Alexandros T. Tzallas; George Rigas 001; Sofia Tsouli; Dimitrios I. Fotiadis; Spiros Konitsiotis (Artif. Intell. Medicine, 2012)

Spot addressing for microarray images structured in hexagonal grids. - Nikolaos Giannakeas; Fanis G. Kalatzis; Markos G. Tsipouras; Dimitrios I. Fotiadis (Comput. Methods Programs Biomed., 2012)

Assessment of Tremor Activity in the Parkinson's Disease Using a Set of Wearable Sensors. - George Rigas 001; Alexandros T. Tzallas; Markos G. Tsipouras; Panagiota Bougia; Evanthia E. Tripoliti; Dina Baga; Dimitrios I. Fotiadis; Sofia Tsouli; Spiros Konitsiotis (IEEE Trans. Inf. Technol. Biomed., 2012)

Effects of Exercise in Diabetic Rats Using Continuous Wavelet Transform. - Dimitrios G. Tsalikakis; Ioannis Nakos; Alexandros T. Tzallas; Evaggelos Karvounis; Markos G. Tsipouras (AMBI-SYS, 2013)

Adverse event prediction in patients with left ventricular assist devices. - Markos G. Tsipouras; Evaggelos C. Karvounis; Alexandros T. Tzallas; Nikolaos S. Katertsidis; Yorgos Goletsis; Maria Frigerio; Alessandro Verde; Maria Giovanna Trivella; Dimitrios I. Fotiadis (EMBC, 2013)

Automatic detection of freezing of gait events in patients with Parkinson's disease. - Evanthia E. Tripoliti; Alexandros T. Tzallas; Markos G. Tsipouras; George Rigas 001; Panagiota Bougia; Michael Leontiou; Spiros Konitsiotis; Maria Chondrogiorgi; Sofia Tsouli; Dimitrios I. Fotiadis (Comput. Methods Programs Biomed., 2013)

A wearable system for long-term ubiquitous monitoring of common motor symptoms in patients with Parkinson's disease. - Markos G. Tsipouras; Alexandros T. Tzallas; Evaggelos Karvounis; Dimitrios G. Tsalikakis; Jorge Cancela; Matteo Pastorino; María Teresa Arredondo Waldmeyer; Spiros Konitsiotis; Dimitrios I. Fotiadis (BHI, 2014)

Modeling and simulation of speed selection on left ventricular assist devices. - Alexandros T. Tzallas; Nikolaos S. Katertsidis; Evaggelos Karvounis; Markos G. Tsipouras; George Rigas 001; Yorgos Goletsis; Krzysztof Zielinski; Libera Fresiello; Arianna Di Molfetta; Gianfranco Ferrari; John V. Terrovitis; Maria Giovanna Trivella; et al. (Comput. Biol. Medicine, 2014)

Wearability Assessment of a Wearable System for Parkinson's Disease Remote Monitoring Based on a Body Area Network of Sensors. - Jorge Cancela; Matteo Pastorino; Alexandros T. Tzallas; Markos G. Tsipouras; Giorgios Rigas; María Teresa Arredondo; Dimitrios I. Fotiadis (Sensors, 2014)

PERFORM: A System for Monitoring, Assessment and Management of Patients with Parkinson's Disease. - Alexandros T. Tzallas; Markos G. Tsipouras; Georgios Rigas 001; Dimitrios G. Tsalikakis; Evaggelos Karvounis; Maria Chondrogiorgi; Fotis Psomadellis; Jorge Cancela; Matteo Pastorino; María Teresa Arredondo Waldmeyer; Spiros Konitsiotis; Dimitrios I. Fotiadis (Sensors, 2014)

A clustering based method for collagen proportional area extraction in liver biopsy images. - Nikolaos Giannakeas; Markos G. Tsipouras; Alexandros T. Tzallas; Kalliroi Kyriakidi; Zoe E. Tsianou; Pinelopi Manousou; Andrew Hall; Evaggelos Karvounis; Vasileios Tsianos; Epameinondas Tsianos (EMBC, 2015)

A Sensor Based Management and Monitoring System for the Identification of Lambs Focusing on Milk Productivity Upturns. - Dimitrios Godas; Sotirios Kontogiannis; Markos G. Tsipouras; Stavros Valsamidis; Themistoklis Lazaridis (HAICTA, 2015)

A cardiovascular simulator tailored for training and clinical uses. - Libera Fresiello; Gianfranco Ferrari; Arianna Di Molfetta; Krzysztof Zielinski; Alexandros T. Tzallas; Steven Jacobs; Marek Darowski; Maciej Kozarski; Bart Meyns; Nikolaos S. Katertsidis; E. C. Karvounis; Markos G. Tsipouras; et al. (J. Biomed. Informatics, 2015)

Automated Hepatic Steatosis Assessment through Liver Biopsy Image Processing. - Maria Tsiplakidou; Markos G. Tsipouras; Pinelopi Manousou; Nikolaos Giannakeas; Alexandros T. Tzallas (CBI (2), 2016)

A generalized methodology for the gridding of microarray images with rectangular or hexagonal grid. - Nikolaos Giannakeas; Fanis G. Kalatzis; Markos G. Tsipouras; Dimitrios I. Fotiadis (Signal Image Video Process., 2016)

Image Enhancement of Routine Biopsies: A Case for Liver Tissue Detection. - Nikolaos Giannakeas; Maria Tsiplakidou; Markos G. Tsipouras; Pinelopi Manousou; Roberta Forlano; Alexandros T. Tzallas (BIBE, 2017)

Protein Structure Recognition by Means of Sequential Pattern Mining. - Anna N. Ntagiou; Markos G. Tsipouras; Nikolaos Giannakeas; Alexandros T. Tzallas (BIBE, 2017)

Rule Editor for ARDEN Syntax Generation towards a more Effective Self-Management of Asthma Disease Patients. - Markos G. Tsipouras; Nikolaos Giannakeas; Stefanos Doumpoulakis; Antonis Voulgaridis; Dimitrios Kikidis; Konstantinos Votis; Dimitrios Tzovaras (BIBE, 2017)

Measuring Steatosis in Liver Biopsies Using Machine Learning and Morphological Imaging. - Nikolaos Giannakeas; Markos G. Tsipouras; Alexandros T. Tzallas; Maria G. Vavva; Maria Tsimplakidou; Evaggelos C. Karvounis; Roberta Forlano; Pinelopi Manousou (CBMS, 2017)

Automated Collagen Proportional Area Extraction in Liver Biopsy Images Using a Novel Classification via Clustering Algorithm. - Dimosthenis C. Tsouros; Panagiotis N. Smyrlis; Markos G. Tsipouras; Dimitrios G. Tsalikakis; Nikolaos Giannakeas; Alexandros T. Tzallas; Pinelopi Manousou (CBMS, 2017)

EEG Classification and Short-Term Epilepsy Prognosis Using Brain Computer Interface Software. - Alexandros T. Tzallas; Nikolaos Giannakeas; Kostantinos N. Zoulis; Markos G. Tsipouras; Euripidis Glavas; Katerina D. Tzimourta; Loukas G. Astrakas; Spyridon Konitsiotis (CBMS, 2017)

Wavelet Based Classification of Epileptic Seizures in EEG Signals. - Katerina D. Tzimourta; Loukas G. Astrakas; Markos G. Tsipouras; Nikolaos Giannakeas; Alexandros T. Tzallas; Spyridon Konitsiotis (CBMS, 2017)

A methodology for automated CPA extraction using liver biopsy image analysis and machine learning techniques. - Markos G. Tsipouras; Nikolaos Giannakeas; Alexandros T. Tzallas; Zoe E. Tsianou; Pinelopi Manousou; Andrew Hall; Ioannis G. Tsoulos; Epameinondas Tsianos (Comput. Methods Programs Biomed., 2017)

Automated Detection of Liver Histopathological Findings Based on Biopsy Image Processing. - Maria Tsiplakidou; Markos G. Tsipouras; Nikolaos Giannakeas; Alexandros T. Tzallas; Pinelopi Manousou (Inf., 2017)

Random Forests with Stochastic Induction of Decision Trees. - Markos G. Tsipouras; Dimosthenis C. Tsouros; Panagiotis N. Smyrlis; Nikolaos Giannakeas; Alexandros T. Tzallas (ICTAI, 2018)

Fat Droplets Identification in Liver Biopsies using Supervised Learning Techniques. - Alexandros Arjmand; Alexandros T. Tzallas; Markos G. Tsipouras; Roberta Forlano; Pinelopi Manousou; Nikolaos S. Katertsidis; Nikolaos Giannakeas (PETRA, 2018)

Assessing the Frailty of Older People using Bluetooth Beacons Data. - Markos G. Tsipouras; Nikolaos Giannakeas; Thomas I. Tegou; Ilias Kalamaras; Konstantinos Votis; Dimitrios Tzovaras (WiMob, 2018)

Hybrid extreme learning machine approach for homogeneous neural networks. - Vasileios Christou; Markos G. Tsipouras; Nikolaos Giannakeas; Alexandros T. Tzallas (Neurocomputing, 2018)

Automated Assessment of Pain Intensity Based on EEG Signal Analysis. - Panagiotis A. Bonotis; Dimosthenis C. Tsouros; Panagiotis N. Smyrlis; Alexandros T. Tzallas; Nikolaos Giannakeas; Evripidis Glavas; Markos G. Tsipouras (BIBE, 2019)

Deep Learning in Liver Biopsies using Convolutional Neural Networks. - Alexandros Arjmand; Constantinos T. Angelis; Alexandros T. Tzallas; Markos G. Tsipouras; Evripidis Glavas; Roberta Forlano; Pinelopi Manousou; Nikolaos Giannakeas (TSP, 2019)

Analysis of electroencephalographic signals complexity regarding Alzheimer's Disease. - Katerina D. Tzimourta; Theodora Afrantou; Panagiotis Ioannidis 002; Maria Karatzikou; Alexandros T. Tzallas; Nikolaos Giannakeas; Loukas G. Astrakas; Pantelis A. Angelidis; Evripidis Glavas; Nikolaos Grigoriadis; Dimitrios G. Tsalikakis; Markos G. Tsipouras (Comput. Electr. Eng., 2019)

Spectral information of EEG signals with respect to epilepsy classification. - Markos G. Tsipouras (EURASIP J. Adv. Signal Process., 2019)

Hybrid extreme learning machine approach for heterogeneous neural networks. - Vasileios Christou; Markos G. Tsipouras; Nikolaos Giannakeas; Alexandros T. Tzallas; Gavin Brown 001 (Neurocomputing, 2019)

A Low-Cost Indoor Activity Monitoring System for Detecting Frailty in Older Adults. - Thomas I. Tegou; Ilias Kalamaras; Markos G. Tsipouras; Nikolaos Giannakeas; Konstantinos Votis; Dimitrios Tzovaras (Sensors, 2019)

Motor data analysis of Parkinson's disease patients. - Vasiliki Fiska; Nikolaos Giannakeas; Nikolaos S. Katertsidis; Alexandros T. Tzallas; Konstantinos Kalafatakis; Markos G. Tsipouras (BIBE, 2020)

Fetal Heart Beat detection based on Empirical Mode Decomposition, Signal Quality Indices and Correlation Analysis. - Theodoros Lampros; Konstantinos Kalafatakis; Ioannis G. Violaris; Nikolaos Giannakeas; Alexandros T. Tzallas; Markos G. Tsipouras (BIBE, 2020)

Self-Adaptive Hybrid Extreme Learning Machine for Heterogeneous Neural Networks. - Vasileios Christou; Georgios Ntritsos; Alexandros T. Tzallas; Markos G. Tsipouras; Nikolaos Giannakeas (IJCNN, 2020)

Transfer Learning versus Custom CNN Architectures in NAFLD Biopsy Images. - Alexandros Arjmand; Vasileios Christou; Alexandros T. Tzallas; Markos G. Tsipouras; Constantinos T. Angelis; Georgios Tsoumanis; Evripidis Glavas; Roberta Forlano; Pinelopi Manousou; Nikolaos Giannakeas (TSP, 2020)

Stopping rules for a parallel genetic algorithm. - Ioannis G. Tsoulos; Alexandros T. Tzallas; Markos G. Tsipouras; Vasileios Christou; Dimitrios G. Tsalikakis (Int. J. Comput. Intell. Stud., 2020)

Improving the Accuracy of Low-Cost Sensor Measurements for Freezer Automation. - Kyriakos Koritsoglou; Vasileios Christou; Georgios Ntritsos; Georgios Tsoumanis; Markos G. Tsipouras; Nikolaos Giannakeas; Alexandros T. Tzallas (Sensors, 2020)

Automated Quantification of Pancreatic Steatosis in Biopsy Images using a Classification Based System. - Alexandros Arjmand; M. Pappas; Odysseas Tsakai; V. Christon; Alexandros T. Tzallas; Markos G. Tsipouras; Roberta Forlano; Pinelopi Manousou; Robert D. Goldin; Evripidis Glavas; Nikolaos Giannakeas (SEEDA-CECNSM, 2021)

Active touch classification using EEG signals. - Vasileios Aspiotis; Dimitrios Peschos; Katerina D. Tzimourta; Markos G. Tsipouras; Al Husein Sami Abosaleh; Evangelos Antoniou; Nikolaos Giannakeas; Alexandros T. Tzallas; Euripidis Glavas (SEEDA-CECNSM, 2021)

Neural Network-Based approach for Hemiplegia Detection via Accelerometer Signals. - Vasileios Christou; Alexandros Arjmand; Dimitrios Dimopoulos; Dimitrios Varvarousis; Alexandros T. Tzallas; Christos Gogos; Markos G. Tsipouras; Avraam Ploumis; Nikolaos Giannakeas (SEEDA-CECNSM, 2021)

Automatic Parkinson's tremor assessment with data analysis from daily activities. - Vasiliki Fiska; Vasiliki Gakilazou; Nikolaos S. Katertsidis; Alexandros T. Tzallas; Nikolaos Giannakeas; Markos G. Tsipouras (SEEDA-CECNSM, 2021)

Smart Beds and Bedding Surfaces for Personalized Patient Care: A Review. - Evaggelos Karvounis; Sofia Polymeni; Markos G. Tsipouras; Kyriakos Koritsoglou; Dimitrios Tzovaras (SEEDA-CECNSM, 2021)

A Hospital Healthcare Monitoring System Using Internet of Things Technologies. - Evaggelos Karvounis; Maria G. Vavva; Nikolaos Giannakeas; Alexandros T. Tzallas; Ioannis Smanis; Markos G. Tsipouras (SEEDA-CECNSM, 2021)

A Fuzzy Logic Controller for Double Inverted Pendulum on a Cart. - George S. Maraslidis; Theodore L. Kottas; Markos G. Tsipouras; George F. Fragulis (SEEDA-CECNSM, 2021)

An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images. - Alexandros Arjmand; Vasileios Christou; Ioannis G. Tsoulos; Markos G. Tsipouras; Alexandros T. Tzallas; Christos Gogos; Euripidis Glavas; Nikolaos Giannakeas (Array, 2021)

Machine Learning Algorithms and Statistical Approaches for Alzheimer's Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review. - Katerina D. Tzimourta; Vasileios Christou; Alexandros T. Tzallas; Nikolaos Giannakeas; Loukas G. Astrakas; Pantelis Angelidis 001; Dimitrios G. Tsalikakis; Markos G. Tsipouras (Int. J. Neural Syst., 2021)

IoT Micro-Blockchain Fundamentals. - Aristidis G. Anagnostakis; Nikolaos Giannakeas; Markos G. Tsipouras; Euripidis Glavas; Alexandros T. Tzallas (Sensors, 2021)

EEG-Based Eye Movement Recognition Using Brain-Computer Interface and Random Forests. - Evangelos Antoniou; Pavlos Bozios; Vasileios Christou; Katerina D. Tzimourta; Konstantinos Kalafatakis; Markos G. Tsipouras; Nikolaos Giannakeas; Alexandros T. Tzallas (Sensors, 2021)

A peer, "wallet-only" consensus schema for ownership transfer over finite populations. - Aristidis G. Anagnostakis; Nikolaos Giannakeas; Alexandros T. Tzallas; Markos G. Tsipouras; Euripidis Glavas (SEEDA-CECNSM, 2022)

A Fairness-aware Coverage Algorithm for Drone Swarms. - Konstantinos Bezas; Georgios Tsoumanis; Kyriakos Koritsoglou; Konstantinos Oikonomou; Alexandros T. Tzallas; Nikolaos Giannakeas; Markos G. Tsipouras; Constantinos T. Angelis (SEEDA-CECNSM, 2022)

Virtual and augmented experience in cultural places: The perspective of integration in the learning process. - Fotios Bosmos; Alexandros T. Tzallas; Markos G. Tsipouras; Nikolaos Giannakeas (SEEDA-CECNSM, 2022)

A non-invasive closed-loop diagnostic and therapeutic wearable device for diabetic hyperglycemia prevention: System Architecture. - Vasiliki Fiska; Sofia Evangelou; Nikolaos Giannakeas; Alexandros T. Tzallas; Pantelis Angelidis 001; Markos G. Tsipouras (SEEDA-CECNSM, 2022)

An overview of power supply technologies for Unmanned Aerial Vehicles (UAVs) and machine vision applications. - Antonios Pekias; George S. Maraslidis; Markos G. Tsipouras; Fotis N. Koumboulis; George F. Fragulis (SEEDA-CECNSM, 2022)

Motor Imagery Approach for BCI Game Development. - Georgios Prapas; Kosmas Glavas; Alexandros T. Tzallas; Katerina D. Tzimourta; Nikolaos Giannakeas; Markos G. Tsipouras (SEEDA-CECNSM, 2022)

Analysis of Emotions through the Use of Physiological Signals. - Konstantinos Sakkas; Alexandra Tsogka; Athanasios Gkimitzoudis; Nikolaos Giannakeas; Katerina D. Tzimourta; Markos G. Tsipouras; Euripidis Glavas; Alexandros T. Tzallas (SEEDA-CECNSM, 2022)

Intra-User Analysis Based on Brain-Computer Interface Controlled Game. - Kosmas Glavas; Georgios Prapas; Katerina D. Tzimourta; Alexandros T. Tzallas; Nikolaos Giannakeas; Markos G. Tsipouras (TSP, 2022)

Pediatric Epilepsy Assessment Based on EEG Analysis. - Yannis Misirlis; Katerina D. Tzimourta; Pantelis Angelidis 001; Nikolaos Giannakeas; Alexandros T. Tzallas; Markos G. Tsipouras (TSP, 2022)

Classification of EEG signals from young adults with dyslexia combining a Brain Computer Interface device and an Interactive Linguistic Software Tool. - Pavlos Christodoulides; Andreas Miltiadous; Katerina D. Tzimourta; Dimitrios Peschos; Georgios Ntritsos; Victoria Zakopoulou; Nikolaos Giannakeas; Loukas G. Astrakas; Markos G. Tsipouras; Konstantinos I. Tsamis; Euripidis Glavas; Alexandros T. Tzallas (Biomed. Signal Process. Control., 2022)

Ensemble Convolutional Neural Network Classification for Pancreatic Steatosis Assessment in Biopsy Images. - Alexandros Arjmand; Odysseas Tsakai; Vasileios Christou; Alexandros T. Tzallas; Markos G. Tsipouras; Roberta Forlano; Pinelopi Manousou; Robert D. Goldin; Christos Gogos; Evripidis Glavas; Nikolaos Giannakeas (Inf., 2022)

Automatic Hemiplegia Type Detection (Right or Left) Using the Levenberg-Marquardt Backpropagation Method. - Vasileios Christou; Alexandros Arjmand; Dimitrios Dimopoulos; Dimitrios Varvarousis; Ioannis G. Tsoulos; Alexandros T. Tzallas; Christos Gogos; Markos G. Tsipouras; Evripidis Glavas; Avraam Ploumis; Nikolaos Giannakeas (Inf., 2022)

Design of a Fuzzy Logic Controller for the Double Pendulum Inverted on a Cart. - George S. Maraslidis; Theodore L. Kottas; Markos G. Tsipouras; George F. Fragulis (Inf., 2022)

Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG. - Vasileios Aspiotis; Andreas Miltiadous; Konstantinos Kalafatakis; Katerina D. Tzimourta; Nikolaos Giannakeas; Markos G. Tsipouras; Dimitrios Peschos; Euripidis Glavas; Alexandros T. Tzallas (Sensors, 2022)

Evaluating the Window Size's Role in Automatic EEG Epilepsy Detection. - Vasileios Christou; Andreas Miltiadous; Ioannis G. Tsoulos; Evaggelos Karvounis; Katerina D. Tzimourta; Markos G. Tsipouras; Nikolaos P. Anastasopoulos; Alexandros T. Tzallas; Nikolaos Giannakeas (Sensors, 2022)

Heterogeneous hybrid extreme learning machine for temperature sensor accuracy improvement. - Vasileios Christou; Kyriakos Koritsoglou; Georgios Ntritsos; Georgios Tsoumanis; Markos G. Tsipouras; Nikolaos Giannakeas; Evripidis Glavas; Alexandros T. Tzallas (Expert Syst. Appl., 2022)

A Novel Approach for Cancer Image Segmentation. - Panagiotis N. Smyrlis; Konstantinos Vogklis; Odysseas Tsakai; Alexandros T. Tzallas; Nikolaos Giannakeas; Markos G. Tsipouras (BIBM, 2023)

Deep-in-Biopsies: AI-supported biopsy image processing for accurate pathology diagnosis and staging. - Odysseas Tsakai; Panagiotis N. Smyrlis; Nikolaos S. Katertsidis; Alexandros T. Tzallas; Nikolaos Giannakeas; Markos G. Tsipouras (BIBM, 2023)

Enhanced Alzheimer's disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features. - Andreas Miltiadous; Katerina D. Tzimourta; Vasileios Aspiotis; Theodora Afrantou; Markos G. Tsipouras; Nikolaos Giannakeas; Euripidis Glavas; Alexandros T. Tzallas (CBMS, 2023)

Fetal ECG Extraction Based on Overcomplete ICA and Empirical Wavelet Transform. - Theodoros Lampros; Nikolaos Giannakeas; Konstantinos Kalafatakis; Markos G. Tsipouras; Alexandros T. Tzallas (AIAI (Workshops), 2023)

Augmenting Education. - Foteini Gramouseni; Georgios Prapas; Pantelis Angelidis 001; Nikolaos Giannakeas; Markos G. Tsipouras (iMETA, 2023)

Augmenting Reality in Mountain Routes. - Georgios Prapas; Kosmas Glavas; Foteini Gramouseni; Christos Bellos; Antonis Sarantidis; Nikos Theodoropoulos; Rania Schoretsaniti; Yannis Ziogas; Markos G. Tsipouras (iMETA, 2023)

Brain-De-Fer A Brain-Computer Interface Game for Mind Contest. - Konstantinos D. Georgitsaros; Konstantinos B. Palegkas; Pantelis Angelidis 001; Markos G. Tsipouras (SEEDA-CECNSM, 2023)

Real-Time Brain-Computer Interface Control of a Wheelchair Using Motor Imagery Commands. - Kosmas Glavas; Georgios Prapas; Aimilia Ntetska; Pinelopi Adamakidou; Pantelis Angelidis 001; Markos G. Tsipouras (SEEDA-CECNSM, 2023)

A Comparative Testing of Yolov8-Based Algorithm for Cancer Biopsy Images: Case Study on Pannuke Pan-Cancer Dataset. - Panagiotis N. Smyrlis; Odysseas Tsakai; Konstantinos Vogklis; Nikolaos Giannakeas; Alexandros T. Tzallas; George F. Fragulis; Markos G. Tsipouras (SEEDA-CECNSM, 2023)

Design and Implementation of a Real-time Brain-Computer Interface for an Electric Wheelchair. - Kosmas Glavas; Georgios Prapas; Katerina D. Tzimourta; Markos G. Tsipouras (TSP, 2023)

Exploring Ensemble Machine Learning Models for Attention and Memory Assesment. - Foteini Gramouseni; Georgios Prapas; Christos Bellos; Pantelis Angelidis 001; Nikolaos Giannakeas; Markos G. Tsipouras (TSP, 2023)

Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review. - Andreas Miltiadous; Katerina D. Tzimourta; Nikolaos Giannakeas; Markos G. Tsipouras; Euripidis Glavas; Konstantinos Kalafatakis; Alexandros T. Tzallas (IEEE Access, 2023)

Cognitive Assessment Based on Electroencephalography Analysis in Virtual and Augmented Reality Environments, Using Head Mounted Displays: A Systematic Review. - Foteini Gramouseni; Katerina D. Tzimourta; Pantelis Angelidis 001; Nikolaos Giannakeas; Markos G. Tsipouras (Big Data Cogn. Comput., 2023)

Mind the Move: Developing a Brain-Computer Interface Game with Left-Right Motor Imagery. - Georgios Prapas; Kosmas Glavas; Katerina D. Tzimourta; Alexandros T. Tzallas; Markos G. Tsipouras (Inf., 2023)

Scalable Consensus Over Finite Capacities in Multiagent IoT Ecosystems. - Aristidis G. Anagnostakis; Charilaos Naxakis; Nikolaos Giannakeas; Markos G. Tsipouras; Alexandros T. Tzallas; Euripidis Glavas (IEEE Internet Things J., 2023)

Virtual and Augmented Experience in Virtual Learning Tours. - Fotios Bosmos; Alexandros T. Tzallas; Markos G. Tsipouras; Evripidis Glavas; Nikolaos Giannakeas (Inf., 2023)

A Dataset of Scalp EEG Recordings of Alzheimer's Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG. - Andreas Miltiadous; Katerina D. Tzimourta; Theodora Afrantou; Panagiotis Ioannidis 002; Nikolaos Grigoriadis; Dimitrios G. Tsalikakis; Pantelis Angelidis 001; Markos G. Tsipouras; Euripidis Glavas; Nikolaos Giannakeas; Alexandros T. Tzallas (Data, 2023)

An optimized hybrid methodology for non-invasive fetal electrocardiogram signal extraction and monitoring. - Theodoros Lampros; Konstantinos Kalafatakis; Nikolaos Giannakeas; Markos G. Tsipouras; Euripidis Glavas; Alexandros T. Tzallas (Array, 2023)

Yolov9 models for cancer detection in biopsy images: segmentation on pan-cancer data. - Panagiotis N. Smyrlis; Aimilia Ntetska; Thomai Karamitsou; Foteini Dimaraki; Katerina D. Tzimourta; Pantelis Angelidis 001; Markos G. Tsipouras (SEEDA-CECNSM, 2024)

Aorta localization in Computed Tomography images: A YoloV9 segmentation approach. - Panagiotis N. Smyrlis; Gabriela R. Stancu; Foteini Dimaraki; Aimilia Ntetska; Thomai Karamitsou; Katerina D. Tzimourta; Markos G. Tsipouras; Pantelis Angelidis 001 (SEEDA-CECNSM, 2024)

Brain-Computer Interface Controlled Drones: A Systematic Review. - Kosmas Glavas; Katerina D. Tzimourta; Pantelis Angelidis 001; Stamatia Bibi; Markos G. Tsipouras (IEEE Access, 2024)

Empowering Individuals With Disabilities: A 4-DoF BCI Wheelchair Using MI and EOG Signals. - Kosmas Glavas; Katerina D. Tzimourta; Alexandros T. Tzallas; Nikolaos Giannakeas; Markos G. Tsipouras (IEEE Access, 2024)

An evolutionary extreme learning machine algorithm for multi-cube unit single-layer neural networks. - Vasileios Christou; Alexandros T. Tzallas; Christos Gogos; Markos G. Tsipouras; Georgios Tsoumanis; Nikolaos Giannakeas (Appl. Soft Comput., 2025)

A Complementary Dataset of Scalp EEG Recordings Featuring Participants with Alzheimer's Disease, Frontotemporal Dementia, and Healthy Controls, Obtained from Photostimulation EEG. - Aimilia Ntetska; Andreas Miltiadous; Markos G. Tsipouras; Katerina D. Tzimourta; Theodora Afrantou; Panagiotis Ioannidis 002; Dimitrios G. Tsalikakis; Konstantinos Sakkas; Emmanouil D. Oikonomou; Nikolaos Grigoriadis; Pantelis Angelidis 001; Nikolaos Giannakeas; et al. (Data, 2025)

X-Balloon: A cloud-based platform for annotation and reinforced deep learning in digital pathology images. - Odysseas Tsakai; Andreas Miltiadous; Panagiotis N. Smyrlis; Alexandros T. Tzallas; Markos G. Tsipouras; Nikolaos Giannakeas (SoftwareX, 2025)