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Ioannis Kakkos

Showing results (1-10 of 29) with videos related to

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Journal of Sports Science & Medicine|September 4, 2024
Enhancing Sports Injury Risk Assessment in Soccer Through Machine Learning and Training Load AnalysisTheodoros Tsilimigkras, Ioannis Kakkos, George K Matsopoulos, et al.
Bioengineering (Basel, Switzerland)|March 27, 2024
Towards Automation in Radiotherapy Planning: A Deep Learning Approach for the Delineation of Parotid Glands in Head and Neck CancerIoannis Kakkos, Theodoros P Vagenas, Anna Zygogianni, et al.
IEEE Journal of Biomedical and Health Informatics|July 11, 2025
Explaining E/MEG Source Imaging and Beyond: An Updated ReviewZhao Feng, Ioannis Kakkos, George K Matsopoulos, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
A mental fatigue index based on regression using mulitband EEG features with application in simulated drivingGeorgios N Dimitrakopoulos, Ioannis Kakkos, Nitish V Thakor, et al.
Brain Research Bulletin|August 9, 2025
Multimodal brain network analysis reveals divergent dysconnectivity patterns during mental fatigue: A concurrent EEG-fMRI studyKuijun Wu, Lingyun Gao, Zhao Feng, et al.
Advances in Experimental Medicine and Biology|November 18, 2025
A Machine Learning Framework for Automatic Cognitive Task Classification Using Dry Electrode EEG DataEleftherios Kontopodis, Christodoulos Serafeim, Dionisis Cavouras, et al.
Medical & Biological Engineering & Computing|January 11, 2020
A condition-independent framework for the classification of error-related brain activityIoannis Kakkos, Errikos M Ventouras, Pantelis A Asvestas, et al.
Cancers|July 27, 2022
Early Prediction of Planning Adaptation Requirement Indication Due to Volumetric Alterations in Head and Neck Cancer Radiotherapy: A Machine Learning ApproachVasiliki Iliadou, Ioannis Kakkos, Pantelis Karaiskos, et al.
Neuroimage|September 25, 2023
μ-STAR: A novel framework for spatio-temporal M/EEG source imaging optimized by microstatesZhao Feng, Sujie Wang, Linze Qian, et al.
Bioengineering (Basel, Switzerland)|April 26, 2025
Comparative Analysis of Deep Neural Networks for Automated Ulcerative Colitis Severity AssessmentAndreas Vezakis, Ioannis Vezakis, Ourania Petropoulou, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Journal of Sports Science & Medicine|September 4, 2024
Enhancing Sports Injury Risk Assessment in Soccer Through Machine Learning and Training Load AnalysisTheodoros Tsilimigkras, Ioannis Kakkos, George K Matsopoulos, et al.
Bioengineering (Basel, Switzerland)|March 27, 2024
Towards Automation in Radiotherapy Planning: A Deep Learning Approach for the Delineation of Parotid Glands in Head and Neck CancerIoannis Kakkos, Theodoros P Vagenas, Anna Zygogianni, et al.
IEEE Journal of Biomedical and Health Informatics|July 11, 2025
Explaining E/MEG Source Imaging and Beyond: An Updated ReviewZhao Feng, Ioannis Kakkos, George K Matsopoulos, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
A mental fatigue index based on regression using mulitband EEG features with application in simulated drivingGeorgios N Dimitrakopoulos, Ioannis Kakkos, Nitish V Thakor, et al.
Brain Research Bulletin|August 9, 2025
Multimodal brain network analysis reveals divergent dysconnectivity patterns during mental fatigue: A concurrent EEG-fMRI studyKuijun Wu, Lingyun Gao, Zhao Feng, et al.
Advances in Experimental Medicine and Biology|November 18, 2025
A Machine Learning Framework for Automatic Cognitive Task Classification Using Dry Electrode EEG DataEleftherios Kontopodis, Christodoulos Serafeim, Dionisis Cavouras, et al.
Medical & Biological Engineering & Computing|January 11, 2020
A condition-independent framework for the classification of error-related brain activityIoannis Kakkos, Errikos M Ventouras, Pantelis A Asvestas, et al.
Cancers|July 27, 2022
Early Prediction of Planning Adaptation Requirement Indication Due to Volumetric Alterations in Head and Neck Cancer Radiotherapy: A Machine Learning ApproachVasiliki Iliadou, Ioannis Kakkos, Pantelis Karaiskos, et al.
Neuroimage|September 25, 2023
μ-STAR: A novel framework for spatio-temporal M/EEG source imaging optimized by microstatesZhao Feng, Sujie Wang, Linze Qian, et al.
Bioengineering (Basel, Switzerland)|April 26, 2025
Comparative Analysis of Deep Neural Networks for Automated Ulcerative Colitis Severity AssessmentAndreas Vezakis, Ioannis Vezakis, Ourania Petropoulou, et al.
Pageof 3