An Automated Method for Gridding in Microarray Images. - Nikolaos Giannakeas; Dimitrios I. Fotiadis; Anastasia S. Politou (EMBC, 2006)

Intelligent patient profiling for diagnosis, staging and treatment selection in colon cancer. - Yorgos Goletsis; Themis P. Exarchos; Nikolaos Giannakeas; Dimitrios I. Fotiadis (BIBE, 2008)

Point-of-care monitoring and diagnostics for autoimmune diseases. - Fanis G. Kalatzis; Themis P. Exarchos; Nikolaos Giannakeas; Sofia Markoula; Elisavet Hatzi; Panagiotis Rizos; Ioannis Georgiou; Dimitrios I. Fotiadis (BIBE, 2008)

An automated method for gridding and clustering-based segmentation of cDNA microarray images. - Nikolaos Giannakeas; Dimitrios I. Fotiadis (Comput. Medical Imaging Graph., 2009)

Επεξεργασία εικόνων μικροσυστοιχιών με χρήση ευφυών μεθόδων πληροφοριακών συστημάτων - Nikolaos Giannakeas (2011)

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)

Segmentation of microarray images using pixel classification - Comparison with clustering-based methods. - Nikolaos Giannakeas; Petros S. Karvelis; Themis P. Exarchos; Fanis G. Kalatzis; Dimitrios I. Fotiadis (Comput. Biol. Medicine, 2013)

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)

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)

Optimum Capacity over Power Consumption Requirements in MIMO Systems. - Eleftherios Stergiou; Constantinos T. Angelis; Nikolaos Giannakeas; Georgios Tsoumanis; Alexandros T. Tzallas; Evripidis Glavas (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)

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)

A Lifetime Extension Framework for Wireless Sensor Networks. - Georgios Tsoumanis; Nikolaos Giannakeas; Alexandros T. Tzallas; Evripidis Glavas; Eleftherios Stergiou; Konstantinos Oikonomou; Constantinos T. Angelis (TSP, 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)

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 Traffic Load-based Algorithm for Extending the Lifetime of Wireless Sensor Networks. - Georgios Tsoumanis; Nikolaos Giannakeas; Alexandros T. Tzallas; Evripidis Glavas; Kyriakos Koritsoglou; Evaggelos Karvounis; Constantinos T. Angelis (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 experimental protocol for exploration of stress in an immersive VR scenario with EEG. - Andreas Miltiadous; Vasileios Aspiotis; Konstantinos Sakkas; Nikolaos Giannakeas; Euripidis Glavas; Alexandros T. Tzallas (SEEDA-CECNSM, 2022)

Human Activity Recognition using Machine Learning Techniques. - Vasileios Nastos; Alexandros Arjmand; Klevis Tsakai; Dimitrios Dimopoulos; Dimitrios Varvarousis; Alexandros T. Tzallas; Nikolaos Giannakeas; Avraam Ploumis; Christos Gogos (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)

A survey on the awareness on Virtual Reality, Internet of Things and Blockchain in the 4th IR era. - Konstantinos Sakkas; Niki Eleni Ntagka; Panagiota Vinni; Paraskevi Artemi; Aristidis G. Anagnostakis; Nikolaos Giannakeas; Katerina D. Tzimourta; Alexandros T. Tzallas; Euripidis Glavas (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)

Applied Virtual Reality in 3D Geometry. - Konstantinos Sakkas; Alexandra Tsogka; Nikolaos Giannakeas; Katerina D. Tzimourta; Alexandros T. Tzallas; Euripidis Glavas (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)

A Traffic-Load-Based Algorithm for Wireless Sensor Networks' Lifetime Extension. - Georgios Tsoumanis; Nikolaos Giannakeas; Alexandros T. Tzallas; Evripidis Glavas; Kyriakos Koritsoglou; Evaggelos Karvounis; Konstantinos Bezas; Constantinos T. Angelis (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)

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)

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)

DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals. - Andreas Miltiadous; Emmanouil Gionanidis; Katerina D. Tzimourta; Nikolaos Giannakeas; Alexandros T. Tzallas (IEEE Access, 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)

An Improved Medical Image Compression Method Based on Wavelet Difference Reduction. - Matina Ch. Zerva; Vasileios Christou; Nikolaos Giannakeas; Alexandros T. Tzallas; Lisimachos P. Kondi (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)

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)

Performance and early drop prediction for higher education students using machine learning. - Vasileios Christou; Ioannis G. Tsoulos; Vasileios Loupas; Alexandros T. Tzallas; Christos Gogos; Petros S. Karvelis; Nikolaos Antoniadis; Evripidis Glavas; Nikolaos Giannakeas (Expert Syst. Appl., 2023)

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)

Personalized Visualization of the Gestures of Parkinson's Disease Patients with Virtual Reality. - Konstantinos Sakkas; Eirini Georgia Dimitriou; Niki Eleni Ntagka; Nikolaos Giannakeas; Konstantinos Kalafatakis; Alexandros T. Tzallas; Evripidis Glavas (Future Internet, 2024)

How natural language processing derived techniques are used on biological data: a systematic review. - Emmanouil D. Oikonomou; Petros S. Karvelis; Nikolaos Giannakeas; Aristidis G. Vrahatis; Evripidis Glavas; Alexandros T. Tzallas (Netw. Model. Anal. Health Informatics Bioinform., 2024)

Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis. - Andreas Miltiadous; Konstantinos Sakkas; Emmanouil D. Oikonomou; Aimilia Ntetska; Nikolaos Giannakeas; Alexandros T. Tzallas (CBMS, 2025)

Driving and Sleep Deprivation: Comparing Interventions Using a Driving Simulator with EEG Analysis. - Niki Eleni Ntagka; Emmanouil D. Oikonomou; Konstantinos Sakkas; Vasileios Choutas; Vasileios Aspiotis; Nikolaos Giannakeas; Alexandros T. Tzallas; Andreas Miltiadous (CBMS, 2025)

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)