Vassiliki I. Kigka

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 12

Top Topics

Machine Learning

Computed Tomography

Angiography Images

Top Venues

Comput. Biol. Medicine

Publications

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)
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)
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)
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
Site specific prediction of PCI stenting based on imaging and biomechanics data using gradient boosting tree ensembles. EMBC (2020)
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
Validation study of a novel method for the 3D reconstruction of coronary bifurcations. EMBC (2020)
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)
Vassiliki I. Kigka, Antonis I. Sakellarios, Panagiota Tsompou, Savvas K. Kyriakidis, Panagiotis K. Siogkas, Ioannis O. Andrikos, Lampros K. Michalis, Dimitrios I. Fotiadis
Site specific prediction of atherosclerotic plaque progression using computational biomechanics and machine learning. EMBC (2019)
Ioannis O. Andrikos, Antonis I. Sakellarios, Panagiotis K. Siogkas, Panagiota I. Tsompou, Vassiliki I. Kigka, Lampros K. Michalis, Dimitrios I. Fotiadis
A new method for the 3D reconstruction of coronary bifurcations pre and post the angioplasty procedure using the QCA. EMBC (2019)
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
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. Comput. Biol. Medicine 113 (2019)
Panagiota I. Tsompou, Panagiotis K. Siogkas, Antonis I. Sakellarios, Ioannis O. Andrikos, Vassiliki I. Kigka, Pedro A. Lemos, Lampros K. Michalis, Dimitrios I. Fotiadis
A comparison of three multimodality coronary 3D reconstruction methods. EMBC (2019)
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
A Machine Learning Approach for the Prediction of the Progression of Cardiovascular Disease based on Clinical and Non-Invasive Imaging Data. EMBC (2018)
Panagiota I. Tsompou, Antonis I. Sakellarios, Panagiotis K. Siogkas, Ioannis O. Andrikos, Vassiliki I. Kigka, Pedro A. Lemos, Lampros K. Michalis, Dimitrios I. Fotiadis
Comparison of 3D reconstruction methods based on different cardiovascular imaging: a study of multimodality reconstruction method. EMBC (2018)