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Antonis I. Sakellarios
Antonios I. Sakellarios
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2020 – today
- 2025
- [j14]Luca Antonini, Gianluca Poletti, Georgia S. Karanasiou, Antonis I. Sakellarios, Dimitrios I. Fotiadis, Lorenza Petrini, Giancarlo Pennati, Francesca Berti:
A computational workflow for modeling complex patient-specific coronary stenting cases. Comput. Methods Programs Biomed. 259: 108527 (2025) - 2023
- [j13]Nikos Tsiknakis
, Constantinos Spanakis, Panagiota Tsoumpou, Georgia S. Karanasiou
OCT sequence registration before and after percutaneous coronary intervention (stent implantation). Biomed. Signal Process. Control. 79(Part): 104251 (2023) - [c73]Vasileios C. Pezoulas, Georg Ehret, Jos A. Bosch, Dimitrios I. Fotiadis, Antonis I. Sakellarios:
Distilling knowledge from high quality biobank data towards the discovery of risk factors for patients with cardiovascular diseases and depression. BHI 2023: 1-4 - [c72]Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasilis D. Tsakanikas, Marcus E. Kleber, Winfried März, Dimitrios I. Fotiadis:
Machine Learning Models Predict Fatal Myocardial Infarction Within 10-Years Follow-Up Utilizing Explainable AI. BIBE 2023: 320-324 - [c71]Stavroula Tassi, Konstantinos D. Polyzos, Dimitrios I. Fotiadis, Antonis I. Sakellarios:
Gaussian Process-based Active Learning for Efficient Cardiovascular Disease Inference. BIBM 2023: 3188-3193 - [c70]Georgia S. Karanasiou, Vasileios S. Loukas, Panos Siogkas, Antonis I. Sakellarios, Nikolaos S. Tachos, Christos Katsouras
Cleverballoon: An integrated approach for developing a drug-coated balloon with everolimus. EMBC 2023: 1-4 - [c69]Angela Koloi, Vasileios S. Loukas, Antonis I. Sakellarios, Jos A. Bosch, Rick Quax, Karina Nowakowska, Nikolaos S. Tachos, Jakub Kazmierski, Costas Papaloukas, Dimitrios I. Fotiadis:
A comparison study on creating simulated patient data for individuals suffering from chronic coronary disorders. EMBC 2023: 1-4 - [c68]Dimitrios S. Pleouras, Panagiotis K. Siogkas, Vasilis D. Tsakanikas, Michalis D. Mantzaris, Vassiliki T. Potsika, Antonis I. Sakellarios, Fragiska Sigala, Dimitrios I. Fotiadis:
Accurate adventitia reconstruction; significant or not in atherosclerotic plaque growth simulationsƒ A comparative study. EMBC 2023: 1-4 - [c67]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:
Enhancing risk prediction capabilities in patients with carotid artery disease using a 2-level computational approach. EMBC 2023: 1-4 - [c66]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, Dimitrios I. Fotiadis:
A Machine Learning Model for the prediction of the progression of carotid arterial stenoses. EMBC 2023: 1-4 - [c65]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 - [c64]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 - [c63]Konstantina Tsarapatsani, Antonis I. Sakellarios, Vassilis D. Tsakanikas, Hans J. Trampisch, Henrik Rudolf, Nikolaos S. Tachos, Marcus E. Kleber, Winfried März, Dimitrios I. Fotiadis:
Machine Learning Models Predict the Need of Amputation and/or Peripheral Artery Revascularization in Hypertensive Patients Within 7-Years Follow-Up. EMBC 2023: 1-4 - 2022
- [c62]Vasileios C. Pezoulas
Metabolomics in the prediction of prodromal stages of carotid artery disease using a hybrid ML algorithm. BHI 2022: 1-4 - [c61]Panagiotis K. Siogkas, Vassilis D. Tsakanikas, Antonis I. Sakellarios, Vassiliki T. Potsika, George Galyfos, Fragiska Sigala, Smiljana Tomasevic
MRI vs. US 3D computational models of carotid arteries: a proof-of-concept study. BHI 2022: 1-4 - [c60]Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasileios C. Pezoulas
Machine Learning Models to Predict Myocardial Infarction Within 10-Years Follow-up of Cardiovascular Disease Progression. BHI 2022: 1-4 - [c59]Panagiota I. Tsompou, Vassiliki T. Potsika, Nikola Jovica Petrovic, Vasileios C. Pezoulas
Computational modeling of atherosclerotic plaque progression through an efficient 3D agent-based modeling approach. BHI 2022: 1-4 - [c58]Vasileios S. Loukas, Georgia S. Karanasiou
Investigation of crimping effects on the stent deployment through in silico modeling. EMBC 2022: 621-624 - [c57]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 - [c56]Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasileios C. Pezoulas
Machine Learning Models for Cardiovascular Disease Events Prediction. EMBC 2022: 1066-1069 - [c55]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 - [c54]Grigoris I. Grigoriadis, Dimitrios G. Zaridis, Vasileios C. Pezoulas, Sotiris Nikopoulos, Antonis I. Sakellarios, Nikolaos S. Tachos, Katerina K. Naka, Lampros K. Michalis, Dimitrios I. Fotiadis:
Segmentation of left atrium using CT images and a deep learning model. EMBC 2022: 3839-3842 - [c53]Gianna E. Karanasiou, Vasileios S. Loukas, Panagiota I. Tsompou, Georgia S. Karanasiou
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 - [c52]Georgia S. Karanasiou
An in silico trials platform for the evaluation of stent design effect in post-implantation outcomes. EMBC 2022: 4970-4973 - 2021
- [c51]Vasileios C. Pezoulas
A hybrid data harmonization workflow using word embeddings for the interlinking of heterogeneous cross-domain clinical data structures. BHI 2021: 1-4 - [c50]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 - [c49]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, Michael Kallmayer, Dimitrios I. Fotiadis:
Computational modeling of atherosclerotic plaque progression in carotid lesions with moderate degree of stenosis*. EMBC 2021: 4209-4212 - [c48]Georgia S. Karanasiou
An in silico trials platform for the evaluation of effect of the arterial anatomy configuration on stent implantation*. EMBC 2021: 4213-4217 - [c47]Antonis I. Sakellarios, Panagiota Tsompou, Vassiliki Kigka, Gianna E. Karanasiou, Konstantina Tsarapatsani, Savvas K. Kyriakidis, Georgia S. Karanasiou
A proof-of-concept study for the prediction of the de-novo atherosclerotic plaque development using finite elements*. EMBC 2021: 4354-4357 - [c46]Vasileios S. Loukas, Georgia S. Karanasiou
Investigation of Drug Eluting Stents performance in human atherosclerotic artery through in silico modeling. EMBC 2021: 5433-5436 - 2020
- [j12]Antonis I. Sakellarios, Joao Correia
A cloud-based platform for the non-invasive management of coronary artery disease. Enterp. Inf. Syst. 14(8): 1102-1123 (2020) - [c45]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 - [c44]Grigoris I. Grigoriadis, Antonis I. Sakellarios, Ioanna Kosmidou, Katerina K. Naka
Wall shear stress alterations at left atrium and left atrial appendage employing abnormal blood velocity profiles. EMBC 2020: 2565-2568 - [c43]Antonis I. Sakellarios, Vasileios C. Pezoulas
Prediction of atherosclerotic disease progression combining computational modelling with machine learning. EMBC 2020: 2760-2763 - [c42]Panagiotis K. Siogkas, Lampros Lakkas, Antonis I. Sakellarios, Lampros K. Michalis, Dimitrios I. Fotiadis:
The effect of the stenosis location at a coronary arterial bifurcation: a parametric study. EMBC 2020: 2804-2807 - [c41]Dimitrios Pleouras, Antonis I. Sakellarios, Vasileios S. Loukas, Savvas K. Kyriakidis, Dimitrios I. Fotiadis:
Prediction of the development of coronary atherosclerotic plaques using computational modeling in 3D reconstructed coronary arteries. EMBC 2020: 2808-2811 - [c40]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
- [j11]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) - [c39]Georgia S. Karanasiou
BioCoStent: A Holistic Approach for Development of a Drug-Eluting Stent with Retinoic Acid. BIBE 2019: 667-670 - [c38]Savvas K. Kyriakidis, Antonis I. Sakellarios, Georgia S. Karanasiou
A Novel Methodology for Detection of Lumen, Outer Wall, Plaques and Stent Struts in Coronary Arteries Using Optical Coherence Tomography. BIBE 2019: 697-701 - [c37]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 - [c36]Panagiotis K. Siogkas, Antonis I. Sakellarios, Savvas K. Kyriakidis, Constantinos D. Anagnostopoulos, Gualtiero Pelosi, Silvia Rocchiccioli, Lampros K. Michalis
The effect of error propagation in the 3D reconstruction of coronary segments using CTCA images on crucial hemodynamic parameters. EMBC 2019: 5006-5009 - [c35]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 - [c34]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 - [c33]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 - [c32]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 - [c31]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
- [j10]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) - [j9]Velibor M. Isailovic
Numerical simulation of human hearing system. EAI Endorsed Trans. Pervasive Health Technol. 4(13): e3 (2018) - [c30]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 - [c29]Georgia S. Karanasiou
InSilc: 3D Reconstruction and plaque characterization tool. EMBC 2018: 4528-4531 - [c28]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 - [c27]Georgia S. Karanasiou
In Silico analysis of stent deployment- effect of stent design. EMBC 2018: 4567-4570 - [c26]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
- [j8]Antonis I. Sakellarios, Lorenz Räber, Christos V. Bourantas, Themis P. Exarchos, Lambros S. Athanasiou, Gualtiero Pelosi, Konstantinos C. Koskinas, Oberdan Parodi, Katerina K. Naka
Prediction of Atherosclerotic Plaque Development in an In Vivo Coronary Arterial Segment Based on a Multilevel Modeling Approach. IEEE Trans. Biomed. Eng. 64(8): 1721-1730 (2017) - [c25]Georgia S. Karanasiou
In Silico Assessment of the effects of Material on Stent Deployment. BIBE 2017: 462-467 - [c24]Panagiota I. Tsompou, Panagiotis K. Siogkas, Antonis I. Sakellarios, Pedro A. Lemos
Non-invasive Assessment of Coronary Stenoses and Comparison to Invasive Techniques: A Proof-of-Concept Study. CBMS 2017: 328-331 - [c23]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 - [c22]Ioannis O. Andrikos, Antonis I. Sakellarios, Panagiotis K. Siogkas, George Rigas, Themis P. Exarchos, Lambros S. Athanasiou, Antonis Karanasos, Kostas Toutouzas, Dimitris Tousoulis, Lampros K. Michalis, Dimitrios I. Fotiadis:
A novel hybrid approach for reconstruction of coronary bifurcations using angiography and OCT. EMBC 2017: 588-591 - [c21]Panagiotis K. Siogkas, George Rigas
Computational estimation of the hemodynamic significance of coronary stenoses in arterial branches deriving from CCTA: A proof-of-concept study. EMBC 2017: 1348-1351 - 2016
- [j7]Lambros S. Athanasiou, George Rigas
Three-dimensional reconstruction of coronary arteries and plaque morphology using CT angiography - comparison and registration with IVUS. BMC Medical Imaging 16: 9 (2016) - [j6]Muntazir Mehdi, Yasar Khan, Joao Jares, André Freitas
A Linked Data Visualiser for Finite Element Biosimulations. Int. J. Semantic Comput. 10(2): 219-246 (2016) - [c20]Paschalis A. Bizopoulos
3-D registration on carotid artery imaging data: MRI for different timesteps. EMBC 2016: 1159-1162 - [c19]Nikolaos S. Tachos
Middle and inner ear modelling: From microCT images to 3D reconstruction and coupling of models. EMBC 2016: 5961-5964 - 2015
- [j5]Lambros S. Athanasiou, George A. Rigas
Computerized methodology for micro-CT and histological data inflation using an IVUS based translation map. Comput. Biol. Medicine 65: 168-176 (2015) - [j4]Lambros S. Athanasiou, George Rigas
Error propagation in the characterization of atheromatic plaque types based on imaging. Comput. Methods Programs Biomed. 121(3): 161-174 (2015) - [j3]Konstantinos P. Exarchos, Clara Carpegianni, Georgios Rigas
A Multiscale Approach for Modeling Atherosclerosis Progression. IEEE J. Biomed. Health Informatics 19(2): 709-719 (2015) - [c18]Georgia S. Karanasiou
Fluid-structure interaction analysis of anastomosis in patient specific arterial segment. BIBE 2015: 1-4 - [c17]Nikolaos S. Tachos
A computational study of ligaments effect in middle ear chain anatomy behavior. BIBE 2015: 1-4 - [c16]Kostas M. Tsiouris
An unsupervised methodology for the detection of epileptic seizures in long-term EEG signals. BIBE 2015: 1-4 - [c15]Ioannis F. Spiridon, Antonis I. Sakellarios
Effect of modeling parameters on the frequency response of the middle ear by means of finite element analysis. EMBC 2015: 925-928 - [c14]Panagiotis K. Siogkas, Lambros S. Athanasiou, Antonis I. Sakellarios
Validation study of a 3D-QCA coronary reconstruction method using a hybrid intravascular ultrasound and angiography reconstruction method and patient-specific Fractional Flow Reserve data. EMBC 2015: 973-976 - [c13]Lambros S. Athanasiou, George A. Rigas
Three-dimensional reconstruction of coronary arteries and plaque morphology using CT angiography - comparison and registration using IVUS. EMBC 2015: 5638-5641 - [c12]Antonis I. Sakellarios
A proof-of-concept study for predicting the region of atherosclerotic plaque development based on plaque growth modeling in carotid arteries. EMBC 2015: 6552-6555 - [c11]Paschalis A. Bizopoulos
Prediction of atheromatic plaque evolution in carotids using features extracted from the arterial geometry. EMBC 2015: 6556-6559 - 2014
- [c10]Paschalis A. Bizopoulos
Randomly generated realistic vessel geometry using spline interpolation and 2D Perlin noise. BHI 2014: 157-160 - [c9]George A. Rigas
Methodology for micro-CT data inflation using intravascular ultrasound images. EMBC 2014: 1099-1102 - [c8]Panagiotis K. Siogkas, Antonis I. Sakellarios
Assessing the hemodynamic influence between multiple lesions in a realistic right coronary artery segment: A computational study. EMBC 2014: 5643-5646 - 2013
- [c7]Georgia S. Karanasiou
Modeling stent deployment in realistic arterial segment geometries: The effect of the plaque composition. BIBE 2013: 1-4 - [c6]Antonis I. Sakellarios
Modeling atherosclerotic plaque growth: A case report based on a 3D geometry of left coronary arterial tree from computed tomography. BIBE 2013: 1-4 - [c5]Lambros S. Athanasiou, Christos V. Bourantas, George A. Rigas
Fully automated calcium detection using optical coherence tomography. EMBC 2013: 1430-1433 - [c4]Panagiotis K. Siogkas, Michail I. Papafaklis
Computational assessment of the fractional flow reserve from intravascular ultrasound and coronary angiography data: A pilot study. EMBC 2013: 3885-3888 - [c3]Antonis I. Sakellarios
Three-dimensional modeling of oxidized-LDL accumulation and HDL mass transport in a coronary artery: A proof-of-concept study for predicting the region of atherosclerotic plaque development. EMBC 2013: 4513-4516 - 2012
- [j2]Oberdan Parodi, Themis P. Exarchos, Paolo Marraccini, Federico Vozzi
Patient-Specific Prediction of Coronary Plaque Growth From CTA Angiography: A Multiscale Model for Plaque Formation and Progression. IEEE Trans. Inf. Technol. Biomed. 16(5): 952-965 (2012) - [c2]Lambros S. Athanasiou, Christos V. Bourantas, Panagiotis K. Siogkas, Antonis I. Sakellarios
3D reconstruction of coronary arteries using Frequency Domain Optical Coherence Tomography images and biplane angiography. EMBC 2012: 2647-2650 - [c1]Themis P. Exarchos, Antonis I. Sakellarios
Patient specific multiscale modelling for plaque formation and progression. EMBC 2012: 2893-2896 - 2011
- [j1]Panagiotis K. Siogkas, Antonis I. Sakellarios
Multiscale - Patient-Specific Artery and Atherogenesis Models. IEEE Trans. Biomed. Eng. 58(12): 3464-3468 (2011)
Coauthor Index
[j14] [j13] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [j12] [c45] [c44] [c43] [c42] [c41] [c40] [j11] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [j10] [c30] [c29] [c28] [c27] [c26] [j8] [c25] [c24] [c23] [c22] [c21] [j7] [c20] [c19] [j5] [j4] [j3] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [j2] [c2] [c1] [j1]
Vassiliki Kigka
aka: Vassiliki I. Kigka
aka: Vassiliki I. Kigka
Dimitrios Pleouras
aka: Dimitrios S. Pleouras
aka: Dimitrios S. Pleouras
Panagiota Tsompou
aka: Panagiota I. Tsompou
aka: Panagiota I. Tsompou
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