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ORCIDVassilios D. Tsakanikas
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- affiliation: University of Ioannina, Department of Material Science and Engineering, Greece
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2020 – today
- 2023
[j7]Vassilis D. Tsakanikas
, Adamantios Ntanis, George Rigas, Christos Androutsos, Dimitrios Boucharas, Nikolaos S. Tachos, Vasileios Skaramagkas, Chariklia Chatzaki, Zinovia Kefalopoulou, Manolis Tsiknakis, Dimitrios I. Fotiadis:
Evaluating Gait Impairment in Parkinson's Disease from Instrumented Insole and IMU Sensor Data. Sensors 23(8): 3902 (2023)- [j6]Vassilios D. Tsakanikas, Tasos Dagiuklas:
A Generic Framework for Deploying Video Analytic Services on the Edge. IEEE Trans. Cloud Comput. 11(3): 2614-2630 (2023) - [c22]Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasilis D. Tsakanikas, Marcus E. Kleber, Winfried März, Dimitrios I. Fotiadis:
Machine Learning Models Predict Fatal Myocardial Infarction Within 10-Years Follow-Up Utilizing Explainable AI. BIBE 2023: 320-324 - [c21]Dimitrios S. Pleouras, Panagiotis K. Siogkas, Vasilis D. Tsakanikas, Michalis D. Mantzaris, Vassiliki T. Potsika, Antonis I. Sakellarios, Fragiska Sigala, Dimitrios I. Fotiadis:
Accurate adventitia reconstruction; significant or not in atherosclerotic plaque growth simulationsƒ A comparative study. EMBC 2023: 1-4 - [c20]Panagiotis K. Siogkas, Dimitrios S. Pleouras, Vasilis D. Tsakanikas, Michalis D. Mantzaris, Vassiliki T. Potsika, Antonis I. Sakellarios, George Charalampopoulos, George Galyfos, Fragiska Sigala, Dimitrios I. Fotiadis:
Enhancing risk prediction capabilities in patients with carotid artery disease using a 2-level computational approach. EMBC 2023: 1-4 - [c19]Panagiotis K. Siogkas, Dimitrios S. Pleouras, Vasilis D. Tsakanikas, Vassiliki T. Potsika, Kostas M. Tsiouris, Antonis I. Sakellarios, Evdokia Karamouzi, Foteini Lagiou, George Charalampopoulos, George Galyfos, Fragiska Sigala, Igor Koncar, Dimitrios I. Fotiadis:
A Machine Learning Model for the prediction of the progression of carotid arterial stenoses. EMBC 2023: 1-4 - [c18]Vassilis D. Tsakanikas, Panagiotis K. Siogkas, Vassiliki T. Potsika, Antonis I. Sakellarios, Dimitris S. Pleouras, Vassiliki I. Kigka, Themis P. Exarchos, Igor B. Koncar, Dimitrios I. Fotiadis:
TAXINOMISIS: A cloud - based platform for risk profiling and patient specific management of the carotid artery disease. EMBC 2023: 1-4 - [c17]Konstantina Tsarapatsani, Antonis I. Sakellarios, Vassilis D. Tsakanikas, Hans J. Trampisch, Henrik Rudolf, Nikolaos S. Tachos, Marcus E. Kleber, Winfried März, Dimitrios I. Fotiadis:
Machine Learning Models Predict the Need of Amputation and/or Peripheral Artery Revascularization in Hypertensive Patients Within 7-Years Follow-Up. EMBC 2023: 1-4 - 2022
- [c16]Panagiotis K. Siogkas, Vassilis D. Tsakanikas, Antonis I. Sakellarios, Vassiliki T. Potsika, George Galyfos, Fragiska Sigala, Smiljana Tomasevic, Tijana Djukic, Nenad Filipovic, Igor Koncar, Dimitrios I. Fotiadis:
MRI vs. US 3D computational models of carotid arteries: a proof-of-concept study. BHI 2022: 1-4 - [c15]Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasileios C. Pezoulas, Vasilis D. Tsakanikas, George K. Matsopoulos, Winfried März, Marcus E. Kleber, Dimitrios I. Fotiadis:
Machine Learning Models to Predict Myocardial Infarction Within 10-Years Follow-up of Cardiovascular Disease Progression. BHI 2022: 1-4 - [c14]Panagiota I. Tsompou, Vassiliki T. Potsika, Nikola Jovica Petrovic, Vasileios C. Pezoulas, Panagiotis K. Siogkas, Vassilis D. Tsakanikas, Dimitrios Pleouras, Michail I. Papafaklis, Sotiris Nikopoulos, Antonis I. Sakellarios, Dimitrios I. Fotiadis:
Computational modeling of atherosclerotic plaque progression through an efficient 3D agent-based modeling approach. BHI 2022: 1-4 - [c13]Vassiliki I. Kigka, Antonis I. Sakellarios, Vassilis D. Tsakanikas, Vassiliki T. Potsika, Igor Koncar, Dimitrios I. Fotiadis:
Detection of Asymptomatic Carotid Artery Stenosis through Machine Learning. EMBC 2022: 1041-1044 - [c12]Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasileios C. Pezoulas, Vassilis D. Tsakanikas, Marcus E. Kleber, Winfried März, Lampros K. Michalis, Dimitrios I. Fotiadis:
Machine Learning Models for Cardiovascular Disease Events Prediction. EMBC 2022: 1066-1069 - [c11]Dimitrios Pleouras, Michalis D. Mantzaris, Panagiotis K. Siogkas, Vasilis D. Tsakanikas, Vassiliki T. Potsika, Antonis I. Sakellarios, Panagiota Tsompou, Fragiska Sigala, Dimitrios I. Fotiadis:
Prediction of the atherosclerotic plaque development in carotid arteries; the effect of T-cells. EMBC 2022: 1590-1593 - [c10]Kostas M. Tsiouris, Vassilios D. Tsakanikas, Dimitris Gatsios, Marousa Pavlou, Dimitrios I. Fotiadis:
Emotional Models for the Estimation of Arousal and Pleasure in Older Adults During Balance Rehabilitation Training. EMBC 2022: 3472-3475 - [c9]Vassilios D. Tsakanikas, Tasos Dagiuklas:
VFCSIM: A simulation framework for real-time multi-service Virtual Function Chains deployment. GLOBECOM 2022: 2644-2649 - [i1]Dimitrios Boucharas, Christos Androutsos, George Gkois, Vassilis D. Tsakanikas, Vasileios Pezoulas, Dimitrios Manousos, Vasileios Skaramagkas, Chariklia Chatzaki, Stathis Kontogiannis, Christos C. Spandonidis, Alexandros K. Pantazis, Nikolaos S. Tachos, Manolis Tsiknakis, Dimitrios I. Fotiadis:
Smart Insole: A Gait Analysis Monitoring Platform Targeting Parkinson Disease Patients Based on Insoles. CoRR abs/2212.00109 (2022) - 2021
- [c8]Vassilis D. Tsakanikas, Dimitrios Dimopoulos, Nikolaos S. Tachos, Chariklia Chatzaki, Vasileios Skaramagkas, Georgios Christodoulakis, Manolis Tsiknakis, Dimitrios I. Fotiadis:
Gait and balance patterns related to Free-Walking and TUG tests in Parkinson's Disease based on plantar pressure data. EMBC 2021: 236-239 - [c7]Vassiliki I. Kigka, Antonis I. Sakellarios, Michalis D. Mantzaris, Vasilis D. Tsakanikas, Vassiliki T. Potsika, Domenico Palombo, Fabrizio Montecucco, Dimitrios I. Fotiadis:
A Machine Learning Model for the Identification of High risk Carotid Atherosclerotic Plaques. EMBC 2021: 2266-2269 - [c6]Michalis D. Mantzaris, Panagiotis K. Siogkas, Vasilis D. Tsakanikas, Vassiliki T. Potsika, Dimitrios Pleouras, Antonis I. Sakellarios, Georgios Karagiannis, George Galyfos, Fragiska Sigala, Nikolaos Liasis, Marija Jovanovic, Igor Koncar, Michael Kallmayer, Dimitrios I. Fotiadis:
Computational modeling of atherosclerotic plaque progression in carotid lesions with moderate degree of stenosis*. EMBC 2021: 4209-4212 - [c5]Athanasios A. Pardalis, Dimitrios A. Gatsios, Vassilios D. Tsakanikas, Isabelle Walz, Christoph Maurer, Dimitrios Kikidis, Christos Nikitas, Sofia Papadopoulou, Athanasios Bibas, Dimitrios I. Fotiadis:
Exploring the Acceptability and Feasibility of Providing a Balance Tele-Rehabilitation Programme to Older Adults at Risk for Falls: An Initial Assessment. EMBC 2021: 6915-6919 - [c4]Vassilios D. Tsakanikas, Tasos Dagiuklas:
Enabling Real-Time AI Edge Video Analytics. ICC 2021: 1-6 - 2020
- [j5]Kostas M. Tsiouris, Dimitrios A. Gatsios, Vassilios D. Tsakanikas, Athanasios A. Pardalis, Ioannis N. Kouris, Thelma Androutsou, Marilena Tarousi, Natasa Vujnovic Sedlar, Iason Somarakis, Fariba Mostajeran, Nenad Filipovic, Harm op den Akker, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
Designing interoperable telehealth platforms: bridging IoT devices with cloud infrastructures. Enterp. Inf. Syst. 14(8): 1194-1218 (2020) - [j4]Vassilios D. Tsakanikas, Dimitrios A. Gatsios, Dimitrios Dimopoulos, Athanasios A. Pardalis, Marousa Pavlou, Matthew Liston, Dimitrios I. Fotiadis:
Evaluating the Performance of Balance Physiotherapy Exercises Using a Sensory Platform: The Basis for a Persuasive Balance Rehabilitation Virtual Coaching System. Frontiers Digit. Health 2: 545885 (2020) - [j3]Kostas M. Tsiouris, Vassilios D. Tsakanikas, Dimitrios A. Gatsios, Dimitrios I. Fotiadis:
A Review of Virtual Coaching Systems in Healthcare: Closing the Loop With Real-Time Feedback. Frontiers Digit. Health 2: 567502 (2020) - [c3]Vasilis D. Tsakanikas, Panagiotis K. Siogkas, Michalis D. Mantzaris, Vassiliki T. Potsika, Vassiliki I. Kigka, Themis P. Exarchos, Igor Koncar, Marija Jovanovic, Aleksandra Vujcic, Stefan Ducic, Jaroslav Pelisek, Dimitrios I. Fotiadis:
A deep learning oriented method for automated 3D reconstruction of carotid arterial trees from MR imaging. EMBC 2020: 2408-2411 - [c2]Eleni I. Georga, Dimitrios A. Gatsios, Vassilios D. Tsakanikas, Konstantina D. Kourou, Matthew Liston, Marousa Pavlou, Dimitrios Kikidis, Athanasios Bibas, Christos Nikitas, Doris Eva Bamiou, Dimitrios I. Fotiadis:
A Dynamic Bayesian Network Approach to Behavioral Modelling of Elderly People during a Home-based Augmented Reality Balance Physiotherapy Programme. EMBC 2020: 5544-5547
2010 – 2019
- 2018
- [j2]Vassilios D. Tsakanikas, Tasos Dagiuklas:
Video surveillance systems-current status and future trends. Comput. Electr. Eng. 70: 736-753 (2018) - 2016
- [c1]Giorgos A. Giannakakis, Matthew Pediaditis, George Stavrinidis, George Konstantinidis, Vangelis Kritsotakis, Vassilios D. Tsakanikas, Michael Ligerakis, Vangelis Sakkalis, Pelagia Vorgia, Manolis Tsiknakis:
A computational platform for continuous seizure anticipation, monitoring and clinical evaluation. pHealth 2016: 108-113 - 2012
- [j1]Lambros S. Athanasiou, Petros S. Karvelis, Vasilis D. Tsakanikas, Katerina K. Naka, Lampros K. Michalis, Christos V. Bourantas, Dimitrios I. Fotiadis:
A Novel Semiautomated Atherosclerotic Plaque Characterization Method Using Grayscale Intravascular Ultrasound Images: Comparison With Virtual Histology. IEEE Trans. Inf. Technol. Biomed. 16(3): 391-400 (2012)
Coauthor Index
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