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Journal Articles
- 2019
[j1]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)
Conference and Workshop Papers
- 2022
- [c19]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 - [c18]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 - [c17]Gianna E. Karanasiou, Vasileios S. Loukas, Panagiota I. Tsompou, Georgia S. Karanasiou, Savvas K. Kyriakidis, Luca Antonini, Gianluca Poletti, Giancarlo Pennati, Michail I. Papafaklis, Leonidas N. Gergidis, Dimitrios I. Fotiadis, Antonis I. Sakellarios:
A proof-of-concept study for the simulation of blood flow in a post arterial segment for different blood rheology models. EMBC 2022: 3985-3988 - [c16]Georgia S. Karanasiou, Panagiota I. Tsompou, Nikolaos S. Tachos, Gianna E. Karanasiou, Antonis I. Sakellarios, Savvas K. Kyriakidis, Luca Antonini, Giancarlo Pennati, Lorenza Petrini, Frank Gijsen, Ted J. Vaughan, Christos Katsouras, Lampros K. Michalis, Dimitrios I. Fotiadis:
An in silico trials platform for the evaluation of stent design effect in post-implantation outcomes. EMBC 2022: 4970-4973 - 2021
- [c15]Georgia S. Karanasiou, Panagiota I. Tsompou, Nikolaos S. Tachos, Gianna E. Karanasiou, Antonis I. Sakellarios, Savvas K. Kyriakidis, Luca Antonini, Giancarlo Pennati, Lorenza Petrini, Frank Gijsen, Farhad Rikhtegar Nezami, Rami Tzafriri, Martin Fawdry, Dimitrios I. Fotiadis:
An in silico trials platform for the evaluation of effect of the arterial anatomy configuration on stent implantation*. EMBC 2021: 4213-4217 - [c14]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
- [c13]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: 1576-1579 - [c12]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: 2812-2815 - 2019
- [c11]Dimitrios Pleouras, Antonis I. Sakellarios, Georgia S. Karanasiou, Savvas K. Kyriakidis, Panagiota Tsompou, Vassiliki Kigka, Dimitrios I. Fotiadis:
Atherosclerotic Plaque Growth Prediction in Coronary Arteries using a Computational Multi-level Model: The Effect of Diabetes. BIBE 2019: 702-705 - [c10]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:
A computational multi-level atherosclerotic plaque growth model for coronary arteries. EMBC 2019: 5010-5013 - [c9]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: 5757-5760 - [c8]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: 5812-5815 - [c7]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: 6998-7001 - [c6]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:
Predictive Models of Coronary Artery Disease Based on Computational Modeling: The SMARTool System. EMBC 2019: 7002-7005 - 2018
- [c5]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: 899-902 - [c4]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:
A Clinical Decision Support Platform for the Risk Stratification, Diagnosis, and Prediction of Coronary Artery Disease Evolution. EMBC 2018: 4556-4559 - [c3]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: 6108-6111 - 2017
- [c2]Panagiota I. Tsompou, Panagiotis K. Siogkas, Antonis I. Sakellarios, Pedro A. Lemos, Lampros K. Michalis, Dimitrios I. Fotiadis:
Non-invasive Assessment of Coronary Stenoses and Comparison to Invasive Techniques: A Proof-of-Concept Study. CBMS 2017: 328-331 - [c1]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:
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
Coauthor Index
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