A Novel Semiautomated Atherosclerotic Plaque Characterization Method Using Grayscale Intravascular Ultrasound Images: Comparison With Virtual Histology. - Lambros S. Athanasiou; Petros S. Karvelis; Vasilis D. Tsakanikas; Katerina K. Naka; Lampros K. Michalis; Christos V. Bourantas; Dimitrios I. Fotiadis (IEEE Trans. Inf. Technol. Biomed., 2012)

A computational platform for continuous seizure anticipation, monitoring and clinical evaluation. - Giorgos A. Giannakakis; Matthew Pediaditis; George Stavrinidis; George Konstantinidis 002; Vangelis Kritsotakis; Vassilios D. Tsakanikas; Michael Ligerakis; Vangelis Sakkalis; Pelagia Vorgia; Manolis Tsiknakis (pHealth, 2016)

Video surveillance systems-current status and future trends. - Vassilios D. Tsakanikas; Tasos Dagiuklas (Comput. Electr. Eng., 2018)

A Dynamic Bayesian Network Approach to Behavioral Modelling of Elderly People during a Home-based Augmented Reality Balance Physiotherapy Programme. - 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 (EMBC, 2020)

A deep learning oriented method for automated 3D reconstruction of carotid arterial trees from MR imaging. - 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 (EMBC, 2020)

Designing interoperable telehealth platforms: bridging IoT devices with cloud infrastructures. - 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; et al. (Enterp. Inf. Syst., 2020)

Evaluating the Performance of Balance Physiotherapy Exercises Using a Sensory Platform: The Basis for a Persuasive Balance Rehabilitation Virtual Coaching System. - Vassilios D. Tsakanikas; Dimitrios A. Gatsios; Dimitrios Dimopoulos; Athanasios A. Pardalis; Marousa Pavlou; Matthew Liston; Dimitrios I. Fotiadis (Frontiers Digit. Health, 2020)

A Review of Virtual Coaching Systems in Healthcare: Closing the Loop With Real-Time Feedback. - Kostas M. Tsiouris; Vassilios D. Tsakanikas; Dimitrios A. Gatsios; Dimitrios I. Fotiadis (Frontiers Digit. Health, 2020)

A Machine Learning Model for the Identification of High risk Carotid Atherosclerotic Plaques. - Vassiliki I. Kigka; Antonis I. Sakellarios; Michalis D. Mantzaris; Vasilis D. Tsakanikas; Vassiliki T. Potsika; Domenico Palombo; Fabrizio Montecucco; Dimitrios I. Fotiadis (EMBC, 2021)

Computational modeling of atherosclerotic plaque progression in carotid lesions with moderate degree of stenosis*. - 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; et al. (EMBC, 2021)

Exploring the Acceptability and Feasibility of Providing a Balance Tele-Rehabilitation Programme to Older Adults at Risk for Falls: An Initial Assessment. - Athanasios A. Pardalis; Dimitrios A. Gatsios; Vassilios D. Tsakanikas; Isabelle Walz; Christoph Maurer; Dimitrios Kikidis; Christos Nikitas; Sofia Papadopoulou; Athanasios Bibas; Dimitrios I. Fotiadis (EMBC, 2021)

Gait and balance patterns related to Free-Walking and TUG tests in Parkinson's Disease based on plantar pressure data. - Vassilis D. Tsakanikas; Dimitrios Dimopoulos; Nikolaos S. Tachos; Chariklia Chatzaki; Vasileios Skaramagkas; Georgios Christodoulakis; Manolis Tsiknakis; Dimitrios I. Fotiadis (EMBC, 2021)

Enabling Real-Time AI Edge Video Analytics. - Vassilios D. Tsakanikas; Tasos Dagiuklas (ICC, 2021)

MRI vs. US 3D computational models of carotid arteries: a proof-of-concept study. - 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 (BHI, 2022)

Machine Learning Models to Predict Myocardial Infarction Within 10-Years Follow-up of Cardiovascular Disease Progression. - Konstantina Tsarapatsani; Antonis I. Sakellarios; Vasileios C. Pezoulas; Vasilis D. Tsakanikas; George K. Matsopoulos; Winfried März; Marcus E. Kleber; Dimitrios I. Fotiadis (BHI, 2022)

Computational modeling of atherosclerotic plaque progression through an efficient 3D agent-based modeling approach. - 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 (BHI, 2022)

Detection of Asymptomatic Carotid Artery Stenosis through Machine Learning. - Vassiliki I. Kigka; Antonis I. Sakellarios; Vassilis D. Tsakanikas; Vassiliki T. Potsika; Igor Koncar; Dimitrios I. Fotiadis (EMBC, 2022)

Prediction of the atherosclerotic plaque development in carotid arteries; the effect of T-cells. - Dimitrios Pleouras; Michalis D. Mantzaris; Panagiotis K. Siogkas; Vasilis D. Tsakanikas; Vassiliki T. Potsika; Antonis I. Sakellarios; Panagiota Tsompou; Fragiska Sigala; Dimitrios I. Fotiadis (EMBC, 2022)

Machine Learning Models for Cardiovascular Disease Events Prediction. - Konstantina Tsarapatsani; Antonis I. Sakellarios; Vasileios C. Pezoulas; Vassilis D. Tsakanikas; Marcus E. Kleber; Winfried März; Lampros K. Michalis; Dimitrios I. Fotiadis (EMBC, 2022)

Emotional Models for the Estimation of Arousal and Pleasure in Older Adults During Balance Rehabilitation Training. - Kostas M. Tsiouris; Vassilios D. Tsakanikas; Dimitris Gatsios; Marousa Pavlou; Dimitrios I. Fotiadis (EMBC, 2022)

VFCSIM: A simulation framework for real-time multi-service Virtual Function Chains deployment. - Vassilios D. Tsakanikas; Tasos Dagiuklas (GLOBECOM, 2022)

Smart Insole: A Gait Analysis Monitoring Platform Targeting Parkinson Disease Patients Based on Insoles. - Dimitrios G. Boucharas; Christos Androutsos; George Gkois; Vassilis D. Tsakanikas; Vasileios C. Pezoulas; Dimitrios Manousos; Vasileios Skaramagkas; Chariklia Chatzaki; Stathis Kontogiannis; Christos C. Spandonidis; Alexandros K. Pantazis; Nikolaos S. Tachos; et al. (CoRR, 2022)

Machine Learning Models Predict Fatal Myocardial Infarction Within 10-Years Follow-Up Utilizing Explainable AI. - Konstantina Tsarapatsani; Antonis I. Sakellarios; Vasilis D. Tsakanikas; Marcus E. Kleber; Winfried März; Dimitrios I. Fotiadis (BIBE, 2023)

Accurate adventitia reconstruction; significant or not in atherosclerotic plaque growth simulationsƒ A comparative study. - Dimitrios S. Pleouras; Panagiotis K. Siogkas; Vasilis D. Tsakanikas; Michalis D. Mantzaris; Vassiliki T. Potsika; Antonis I. Sakellarios; Fragiska Sigala; Dimitrios I. Fotiadis (EMBC, 2023)

Enhancing risk prediction capabilities in patients with carotid artery disease using a 2-level computational approach. - 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 (EMBC, 2023)

A Machine Learning Model for the prediction of the progression of carotid arterial stenoses. - 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; et al. (EMBC, 2023)

TAXINOMISIS: A cloud - based platform for risk profiling and patient specific management of the carotid artery disease. - 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 (EMBC, 2023)

Machine Learning Models Predict the Need of Amputation and/or Peripheral Artery Revascularization in Hypertensive Patients Within 7-Years Follow-Up. - Konstantina Tsarapatsani; Antonis I. Sakellarios; Vassilis D. Tsakanikas; Hans J. Trampisch; Henrik Rudolf; Nikolaos S. Tachos; Marcus E. Kleber; Winfried März; Dimitrios I. Fotiadis (EMBC, 2023)

Evaluating Gait Impairment in Parkinson's Disease from Instrumented Insole and IMU Sensor Data. - Vassilis D. Tsakanikas; Adamantios Ntanis; George Rigas 001; Christos Androutsos; Dimitrios G. Boucharas; Nikolaos S. Tachos; Vasileios Skaramagkas; Chariklia Chatzaki; Zinovia Kefalopoulou; Manolis Tsiknakis; Dimitrios I. Fotiadis (Sensors, 2023)

A Generic Framework for Deploying Video Analytic Services on the Edge. - Vassilios D. Tsakanikas; Tasos Dagiuklas (IEEE Trans. Cloud Comput., 2023)

Heart Failure: Machine Learning Prediction Within a 5-Year Framework. - Konstantina-Helen Tsarapatsani; Vassilios D. Tsakanikas; Antonis I. Sakellarios; Hans J. Trampisch; Efterpi Karapintzou; Henrik Rudolf; George K. Matsopoulos; Dimitrios I. Fotiadis (BIBE, 2024)

Investigation of the significance of the plaque morphology evolution in plaque rupture events using computational biomechanics. - Dimitrios S. Pleouras; Panagiotis K. Siogkas; Vassiliki T. Potsika; Vasilis D. Tsakanikas; Sokratis S. Dimos; Michalis D. Mantzaris; Igor Koncar; Dimitrios I. Fotiadis (EMBC, 2024)