Driving Mental Fatigue Classification Based on Brain Functional Connectivity. - Georgios N. Dimitrakopoulos; Ioannis Kakkos; Aristidis G. Vrahatis; Kyriakos N. Sgarbas; Junhua Li; Yu Sun 014; Anastasios Bezerianos (EANN, 2017)

A mental fatigue index based on regression using mulitband EEG features with application in simulated driving. - Georgios N. Dimitrakopoulos; Ioannis Kakkos; Nitish V. Thakor; Anastasios Bezerianos; Yu Sun 014 (EMBC, 2017)

Identification of gait-related brain activity using electroencephalographic signals. - Jingwen Chai; Gong Chen 001; Pavithra Thangavel; Georgios N. Dimitrakopoulos; Ioannis Kakkos; Yu Sun 014; Zhongxiang Dai; Haoyong Yu; Nitish V. Thakor; Anastasios Bezerianos; Junhua Li (NER, 2017)

A Machine Learning fMRI Approach in the Diagnosis of Autism. - Aikaterini Karampasi; Ioannis Kakkos; Stavros Theofanis Miloulis; Ioannis Zorzos; Georgios N. Dimitrakopoulos; Kostakis Gkiatis; Panteleimon Asvestas; George K. Matsopoulos (IEEE BigData, 2020)

Evaluating Memory and Cognition via a Wearable EEG System: A Preliminary Study. - Stavros Theofanis Miloulis; Ioannis Kakkos; Georgios N. Dimitrakopoulos; Yu Sun 014; Irene S. Karanasiou; Panteleimon Asvestas; Errikos-Chaim Ventouras; George K. Matsopoulos (MobiHealth, 2020)

A condition-independent framework for the classification of error-related brain activity. - Ioannis Kakkos; Errikos M. Ventouras; Pantelis A. Asvestas; Irene S. Karanasiou; George K. Matsopoulos (Medical Biol. Eng. Comput., 2020)

Human-Machine Interfaces for Motor Rehabilitation. - Ioannis Kakkos; Stavros Theofanis Miloulis; Kostakis Gkiatis; Georgios N. Dimitrakopoulos; George K. Matsopoulos (Advanced Computational Intelligence in Healthcare (7), 2020)

EEG Fingerprints of Task-Independent Mental Workload Discrimination. - Ioannis Kakkos; Georgios N. Dimitrakopoulos; Yi Sun 008; Jingjia Yuan; George K. Matsopoulos; Anastasios Bezerianos; Yu Sun 014 (IEEE J. Biomed. Health Informatics, 2021)

Inferring the Individual Psychopathologic Deficits With Structural Connectivity in a Longitudinal Cohort of Schizophrenia. - Yi Sun 008; Zhe Zhang 029; Ioannis Kakkos; George K. Matsopoulos; Jingjia Yuan; John Suckling; Luoyi Xu; Shuxia Cao; Wenjuan Chen; Xingyue Hu; Tao Li; Kang Sim; et al. (IEEE J. Biomed. Health Informatics, 2022)

A computational and experimental mechanical study of nanocomposites for 3D printed scaffolds with a new geometry. - Spyridon V. Kallivokas; Lykouros C. Kontaxis; Ioannis Kakkos; Deligianni Deligianni; Vassilis Kostopoulos; Matsopoulos K. Matsopoulos (EMBC, 2023)

A Review of ARIMA vs. Machine Learning Approaches for Time Series Forecasting in Data Driven Networks. - Vaia I. Kontopoulou; Athanasios D. Panagopoulos; Ioannis Kakkos; George K. Matsopoulos (Future Internet, 2023)

Individualized Prediction of Task Performance Decline Using Pre-Task Resting-State Functional Connectivity. - Peng Qi 001; Xiaobing Zhang; Ioannis Kakkos; Kuijun Wu; Sujie Wang; Jingjia Yuan; Lingyun Gao; George K. Matsopoulos; Yu Sun 014 (IEEE J. Biomed. Health Informatics, 2023)

μ-STAR: A novel framework for spatio-temporal M/EEG source imaging optimized by microstates. - Zhao Feng; Sujie Wang; Linze Qian; Mengru Xu; Kuijun Wu; Ioannis Kakkos; Cuntai Guan; Yu Sun 014 (NeuroImage, 2023)

Individual Variability in Brain Connectivity Patterns and Driving-Fatigue Dynamics. - Olympia Giannakopoulou; Ioannis Kakkos; Georgios N. Dimitrakopoulos; Marilena Tarousi; Yu Sun 014; Anastasios Bezerianos; Dimitrios D. Koutsouris; George K. Matsopoulos (Sensors, 2024)

Brain Network Reorganization in Response to Multilevel Mental Workload in Simulated Flight Tasks. - Kuijun Wu; Jingjia Yuan; Xianliang Ge; Ioannis Kakkos; Linze Qian; Sujie Wang; Yamei Yu; Chuantao Li; Yu Sun 014 (IEEE Trans. Cogn. Dev. Syst., 2025)

FBCPM: A Filter Bank Connectome-Based Predictive Modeling Framework for EEG Signals. - Linze Qian; Sujie Wang; Ioannis Kakkos; Xiaoyu Li; Xinyi Xu; Mengru Xu; George K. Matsopoulos; Yi Sun 008; Jianhua Li; Chuantao Li; Yu Sun 014 (IEEE J. Biomed. Health Informatics, 2025)

Rad-EfficientNet: Improving Breast MRI Diagnosis Through Integration of Radiomics and Deep Learning. - Konstantinos Georgas; Ioannis A. Vezakis; Ioannis Kakkos; Anastasia Natalia Douma; Evangelia Panourgias; Lia A. Moulopoulos; George K. Matsopoulos (IEEE J. Biomed. Health Informatics, 2025)