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Vassilis Tsakanikas

Showing results (1-10 of 11) with videos related to

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Scientific Reports|January 19, 2023
An intelligent model for supporting edge migration for virtual function chains in next generation internet of thingsVassilis Tsakanikas, Tasos Dagiuklas, Muddesar Iqbal, et al.
Diagnostics (Basel, Switzerland)|November 27, 2021
Serum Biomarkers in Carotid Artery DiseaseVassiliki I Kigka, Vassiliki Potsika, Michalis Mantzaris, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
A Cloud-based Risk Stratification Platform Cardiovascular Disease, Depression and Comorbidities<sup></sup>Fanis Kalatzis, Vassilis Tsakanikas, Vasileios C Pezoulas, et al.
Journal of Sport and Health Science|May 7, 2026
A machine learning approach predicts improvement of physical exercise capacity based on pulse wave analysis in coronary artery disease patientsHendrik Schäfer, Vassilis Tsakanikas, René Garbsch, et al.
Sensors (Basel, Switzerland)|April 28, 2023
Evaluating Gait Impairment in Parkinson's Disease from Instrumented Insole and IMU Sensor DataVassilis Tsakanikas, Adamantios Ntanis, George Rigas, et al.
BMJ Open|June 25, 2026
Investigating the feasibility and acceptability of the TeleRehabilitation of balance clinical and economic Decision Support System (TeleRehaB DSS) in adults at risk of falls: study protocol for a multicentre clinical trialBrooke Nairn, Isabelle D Walz, Christos Nikitas, et al.
Diagnostics (Basel, Switzerland)|October 16, 2024
Combining Computational Fluid Dynamics, Structural Analysis, and Machine Learning to Predict Cerebrovascular Events: A Mild ML ApproachPanagiotis K Siogkas, Dimitrios Pleouras, Vasileios Pezoulas, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Advancing Telerehabilitation with AI: Predicting Balance Scores from Early SessionsDimitrios G Boucharas, Marina Georgoula, Efterpi Karapintzou, et al.
Diagnostics (Basel, Switzerland)|June 24, 2022
Machine Learning Coronary Artery Disease Prediction Based on Imaging and Non-Imaging DataVassiliki I Kigka, Eleni Georga, Vassilis Tsakanikas, et al.
Age and Ageing|October 7, 2024
Feasibility and acceptability of the HOLObalance telerehabilitation system compared with standard care for older adults at risk of falls: the HOLOBalance assessor blinded pilot randomised controlled studyMarousa Pavlou, Carol Ann Flavell, Fariba Mostajeran Gourtani, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Scientific Reports|January 19, 2023
An intelligent model for supporting edge migration for virtual function chains in next generation internet of thingsVassilis Tsakanikas, Tasos Dagiuklas, Muddesar Iqbal, et al.
Diagnostics (Basel, Switzerland)|November 27, 2021
Serum Biomarkers in Carotid Artery DiseaseVassiliki I Kigka, Vassiliki Potsika, Michalis Mantzaris, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
A Cloud-based Risk Stratification Platform Cardiovascular Disease, Depression and Comorbidities<sup></sup>Fanis Kalatzis, Vassilis Tsakanikas, Vasileios C Pezoulas, et al.
Journal of Sport and Health Science|May 7, 2026
A machine learning approach predicts improvement of physical exercise capacity based on pulse wave analysis in coronary artery disease patientsHendrik Schäfer, Vassilis Tsakanikas, René Garbsch, et al.
Sensors (Basel, Switzerland)|April 28, 2023
Evaluating Gait Impairment in Parkinson's Disease from Instrumented Insole and IMU Sensor DataVassilis Tsakanikas, Adamantios Ntanis, George Rigas, et al.
BMJ Open|June 25, 2026
Investigating the feasibility and acceptability of the TeleRehabilitation of balance clinical and economic Decision Support System (TeleRehaB DSS) in adults at risk of falls: study protocol for a multicentre clinical trialBrooke Nairn, Isabelle D Walz, Christos Nikitas, et al.
Diagnostics (Basel, Switzerland)|October 16, 2024
Combining Computational Fluid Dynamics, Structural Analysis, and Machine Learning to Predict Cerebrovascular Events: A Mild ML ApproachPanagiotis K Siogkas, Dimitrios Pleouras, Vasileios Pezoulas, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Advancing Telerehabilitation with AI: Predicting Balance Scores from Early SessionsDimitrios G Boucharas, Marina Georgoula, Efterpi Karapintzou, et al.
Diagnostics (Basel, Switzerland)|June 24, 2022
Machine Learning Coronary Artery Disease Prediction Based on Imaging and Non-Imaging DataVassiliki I Kigka, Eleni Georga, Vassilis Tsakanikas, et al.
Age and Ageing|October 7, 2024
Feasibility and acceptability of the HOLObalance telerehabilitation system compared with standard care for older adults at risk of falls: the HOLOBalance assessor blinded pilot randomised controlled studyMarousa Pavlou, Carol Ann Flavell, Fariba Mostajeran Gourtani, et al.
Pageof 2