Vassiliki Kigka

According to our database, Vassiliki Kigka authored at least 21 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Graph-guided Gaussian Process-based Diagnosis of CVD Severity with Uncertainty Measures.

Stavroula Tassi, Vassiliki Kigka, Panagiotis K. Siogkas, Silvia Rocchiccioli, Gualtiero Pelosi, Dimitrios I. Fotiadis, Antonis I. Sakellarios

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

A proof-of-concept study for the prediction of the de-novo atherosclerotic plaque development using finite elements^*.

Antonis I. Sakellarios, Panagiota Tsompou, Vassiliki Kigka, Gianna E. Karanasiou, Konstantina Tsarapatsani, Savvas K. Kyriakidis, Georgia S. Karanasiou, Panagiotis K. Siogkas, Sotiris Nikopoulos, Silvia Rocchiccioli, Gualtiero Pelosi, Lampros K. Michalis, Dimitrios I. Fotiadis

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Validation study of a novel method for the 3D reconstruction of coronary bifurcations.

Panagiota I. Tsompou, Ioannis O. Andrikos, Georgia S. Karanasiou, Antonis I. Sakellarios, Nikolaos Tsigkas, Vassiliki I. Kigka, Savvas K. Kyriakidis, Lampros K. Michalis, Dimitrios I. Fotiadis

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Site specific prediction of PCI stenting based on imaging and biomechanics data using gradient boosting tree ensembles.

Vassiliki I. Kigka, Antonis I. Sakellarios, Eleni I. Georga, Panagiotis K. Siogkas, Panagiota Tsompou, Savvas K. Kyriakidis, Silvia Rocchiccioli, Gualtiero Pelosi, Katerina K. Naka, Lampros K. Michalis, Dimitrios I. Fotiadis

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

A three-dimensional quantification of calcified and non-calcified plaques in coronary arteries based on computed tomography coronary angiography images: Comparison with expert's annotations and virtual histology intravascular ultrasound.

Vassiliki I. Kigka, Antonis I. Sakellarios, Savvas K. Kyriakidis, George Rigas, Lambros S. Athanasiou, Panagiotis K. Siogkas, Panagiota Tsompou, Dimitra Loggitsi, Dominik C. Benz, Ronny Buechel, Pedro A. Lemos, Gualtiero Pelosi, Lampros K. Michalis, Dimitrios I. Fotiadis

Comput. Biol. Medicine, 2019

A comparison of three multimodality coronary 3D reconstruction methods.

Panagiota I. Tsompou, Panagiotis K. Siogkas, Antonis I. Sakellarios, Ioannis O. Andrikos, Vassiliki I. Kigka, Pedro A. Lemos, Lampros K. Michalis, Dimitrios I. Fotiadis

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Predictive Models of Coronary Artery Disease Based on Computational Modeling: The SMARTool System.

Antonis I. Sakellarios, Panagiota Tsompou, Panagiotis K. Siogkas, Vassiliki Kigka, Ioannis O. Andrikos, Nikolaos S. Tachos, Elena Georga, Savvas K. Kyriakidis, Silvia Rocchiccioli, Gualtiero Pelosi, Dimitrios I. Fotiadis

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A computational multi-level atherosclerotic plaque growth model for coronary arteries.

Dimitrios Pleouras, Antonis I. Sakellarios, Savvas K. Kyriakidis, Vassiliki Kigka, Panagiotis K. Siogkas, Panagiota Tsompou, Nikolaos S. Tachos, Elena Georga, Ioannis O. Andrikos, Silvia Rocchiccioli, Gualtiero Pelosi, Lampros K. Michalis, Dimitrios I. Fotiadis

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Site specific prediction of atherosclerotic plaque progression using computational biomechanics and machine learning.

Vassiliki I. Kigka, Antonis I. Sakellarios, Panagiota Tsompou, Savvas K. Kyriakidis, Panagiotis K. Siogkas, Ioannis O. Andrikos, Lampros K. Michalis, Dimitrios I. Fotiadis

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A new method for the 3D reconstruction of coronary bifurcations pre and post the angioplasty procedure using the QCA.

Ioannis O. Andrikos, Antonis I. Sakellarios, Panagiotis K. Siogkas, Panagiota I. Tsompou, Vassiliki I. Kigka, Lampros K. Michalis, Dimitrios I. Fotiadis

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Atherosclerotic Plaque Growth Prediction in Coronary Arteries using a Computational Multi-level Model: The Effect of Diabetes.

Dimitrios Pleouras, Antonis I. Sakellarios, Georgia S. Karanasiou, Savvas K. Kyriakidis, Panagiota Tsompou, Vassiliki Kigka, Dimitrios I. Fotiadis

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

A Multimodal Advanced Approach for the Stratification of Carotid Artery Disease.

Michalis D. Mantzaris, Evangelos Andreakos, Dimitrios I. Fotiadis, Vassiliki T. Potsika, Panagiotis K. Siogkas, Vassiliki Kigka, Vasileios C. Pezoulas, Ioannis G. Pappas, Themis P. Exarchos, Igor Koncar, Jaroslav Pelisek

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018

3D reconstruction of coronary arteries and atherosclerotic plaques based on computed tomography angiography images.

Vassiliki Kigka, George Rigas, Antonis I. Sakellarios, Panagiotis K. Siogkas, Ioannis O. Andrikos, Themis P. Exarchos, Dimitra Loggitsi, Constantinos D. Anagnostopoulos, Lampros K. Michalis, Danilo Neglia, Gualtiero Pelosi, Oberdan Parodi, Dimitrios I. Fotiadis

Biomed. Signal Process. Control., 2018

Comparison of 3D reconstruction methods based on different cardiovascular imaging: a study of multimodality reconstruction method.

Panagiota I. Tsompou, Antonis I. Sakellarios, Panagiotis K. Siogkas, Ioannis O. Andrikos, Vassiliki I. Kigka, Pedro A. Lemos, Lampros K. Michalis, Dimitrios I. Fotiadis

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Clinical Decision Support Platform for the Risk Stratification, Diagnosis, and Prediction of Coronary Artery Disease Evolution.

Antonis I. Sakellarios, Panagiotis K. Siogkas, Eleni I. Georga, Nikolaos S. Tachos, Vassiliki Kigka, Panagiota Tsompou, Ioannis O. Andrikos, Georgia S. Karanasiou, Silvia Rocchiccioli, Joao Correia, Gualtiero Pelosi, Paolo Stofella, Nenad Filipovic, Oberdan Parodi, Dimitrios I. Fotiadis

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Machine Learning Approach for the Prediction of the Progression of Cardiovascular Disease based on Clinical and Non-Invasive Imaging Data.

Vassiliki I. Kigka, Eleni I. Georga, Antonis I. Sakellarios, Nikolaos S. Tachos, Ioannis O. Andrikos, Panagiota Tsompou, Silvia Rocchiccioli, Gualtiero Pelosi, Oberdan Parodi, Lampros K. Michalis, Dimitrios I. Fotiadis

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

SMARTool: A tool for clinical decision support for the management of patients with coronary artery disease based on modeling of atherosclerotic plaque process.

Antonis I. Sakellarios, George Rigas, Vassiliki Kigka, Panagiotis K. Siogkas, Panagiota Tsompou, Georgia S. Karanasiou, Themis P. Exarchos, Ioannis O. Andrikos, Nikolaos S. Tachos, Gualtiero Pelosi, Oberdan Parodi, Dimitrios I. Fotiadis

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017