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Vassiliki Kigka
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2020 – today
- 2023
- [c19]Stavroula Tassi, Vassiliki Kigka, Panagiotis K. Siogkas, Silvia Rocchiccioli, Gualtiero Pelosi, Dimitrios I. Fotiadis, Antonis I. Sakellarios:
Graph-guided Gaussian Process-based Diagnosis of CVD Severity with Uncertainty Measures. 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 - 2022
- [c17]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 - 2021
- [c16]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 - [c15]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:
A proof-of-concept study for the prediction of the de-novo atherosclerotic plaque development using finite elements*. EMBC 2021: 4354-4357 - 2020
- [c14]Panagiota I. Tsompou, Ioannis O. Andrikos, Georgia S. Karanasiou
Validation study of a novel method for the 3D reconstruction of coronary bifurcations. EMBC 2020: 1576-1579 - [c13]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 - [c12]Vassiliki I. Kigka, Antonis I. Sakellarios, Eleni I. Georga
Site specific prediction of PCI stenting based on imaging and biomechanics data using gradient boosting tree ensembles. EMBC 2020: 2812-2815
2010 – 2019
- 2019
- [j2]Vassiliki I. Kigka, Antonis I. Sakellarios, Savvas K. Kyriakidis, George Rigas
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) - [c11]Dimitrios Pleouras, Antonis I. Sakellarios, Georgia S. Karanasiou
Atherosclerotic Plaque Growth Prediction in Coronary Arteries using a Computational Multi-level Model: The Effect of Diabetes. BIBE 2019: 702-705 - [c10]Michalis D. Mantzaris, Evangelos Andreakos
A Multimodal Advanced Approach for the Stratification of Carotid Artery Disease. BIBE 2019: 706-709 - [c9]Dimitrios Pleouras, Antonis I. Sakellarios, Savvas K. Kyriakidis, Vassiliki Kigka, Panagiotis K. Siogkas, Panagiota Tsompou, Nikolaos S. Tachos
A computational multi-level atherosclerotic plaque growth model for coronary arteries. EMBC 2019: 5010-5013 - [c8]Ioannis O. Andrikos, Antonis I. Sakellarios, Panagiotis K. Siogkas, Panagiota I. Tsompou, Vassiliki I. Kigka, Lampros K. Michalis
A new method for the 3D reconstruction of coronary bifurcations pre and post the angioplasty procedure using the QCA. EMBC 2019: 5757-5760 - [c7]Panagiota I. Tsompou, Panagiotis K. Siogkas, Antonis I. Sakellarios, Ioannis O. Andrikos, Vassiliki I. Kigka, Pedro A. Lemos
A comparison of three multimodality coronary 3D reconstruction methods. EMBC 2019: 5812-5815 - [c6]Vassiliki I. Kigka, Antonis I. Sakellarios, Panagiota Tsompou, Savvas K. Kyriakidis, Panagiotis K. Siogkas, Ioannis O. Andrikos, Lampros K. Michalis
Site specific prediction of atherosclerotic plaque progression using computational biomechanics and machine learning. EMBC 2019: 6998-7001 - [c5]Antonis I. Sakellarios, Panagiota Tsompou, Panagiotis K. Siogkas, Vassiliki Kigka, Ioannis O. Andrikos, Nikolaos S. Tachos
Predictive Models of Coronary Artery Disease Based on Computational Modeling: The SMARTool System. EMBC 2019: 7002-7005 - 2018
- [j1]Vassiliki Kigka, George Rigas
3D reconstruction of coronary arteries and atherosclerotic plaques based on computed tomography angiography images. Biomed. Signal Process. Control. 40: 286-294 (2018) - [c4]Panagiota I. Tsompou, Antonis I. Sakellarios, Panagiotis K. Siogkas, Ioannis O. Andrikos, Vassiliki I. Kigka, Pedro A. Lemos
Comparison of 3D reconstruction methods based on different cardiovascular imaging: a study of multimodality reconstruction method. EMBC 2018: 899-902 - [c3]Antonis I. Sakellarios, Panagiotis K. Siogkas, Eleni I. Georga
A Clinical Decision Support Platform for the Risk Stratification, Diagnosis, and Prediction of Coronary Artery Disease Evolution. EMBC 2018: 4556-4559 - [c2]Vassiliki I. Kigka, Eleni I. Georga
A Machine Learning Approach for the Prediction of the Progression of Cardiovascular Disease based on Clinical and Non-Invasive Imaging Data. EMBC 2018: 6108-6111 - 2017
- [c1]Antonis I. Sakellarios, George Rigas
SMARTool: A tool for clinical decision support for the management of patients with coronary artery disease based on modeling of atherosclerotic plaque process. EMBC 2017: 96-99
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