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Lampros K. Michalis
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2020 – today
- 2023
- [j19]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) - 2022
- [c42]Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasileios C. Pezoulas
Machine Learning Models for Cardiovascular Disease Events Prediction. EMBC 2022: 1066-1069 - [c41]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 - [c40]Georgia S. Karanasiou
An in silico trials platform for the evaluation of stent design effect in post-implantation outcomes. EMBC 2022: 4970-4973 - 2021
- [c39]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 - 2020
- [j18]Max L. Olender
A Domain Enriched Deep Learning Approach to Classify Atherosclerosis Using Intravascular Ultrasound Imaging. IEEE J. Sel. Top. Signal Process. 14(6): 1210-1220 (2020) - [c38]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 - [c37]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 - [c36]Antonis I. Sakellarios, Vasileios C. Pezoulas
Prediction of atherosclerotic disease progression combining computational modelling with machine learning. EMBC 2020: 2760-2763 - [c35]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 - [c34]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
- [j17]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) - [c33]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 - [c32]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 - [c31]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 - [c30]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 - [c29]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 - 2018
- [j16]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) - [c28]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 - [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
- [j15]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]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 - [c22]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
- [j14]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) - [c21]Paschalis A. Bizopoulos
3-D registration on carotid artery imaging data: MRI for different timesteps. EMBC 2016: 1159-1162 - [c20]Panagiotis K. Siogkas, Michail I. Papafaklis
Computational estimation of the severity of coronary lesions with intravascular ultrasound images: A pilot study. EMBC 2016: 2664-2667 - 2015
- [j13]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) - [j12]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) - [j11]Konstantinos P. Exarchos, Clara Carpegianni, Georgios Rigas
A Multiscale Approach for Modeling Atherosclerosis Progression. IEEE J. Biomed. Health Informatics 19(2): 709-719 (2015) - [c19]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 - [c18]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 - [c17]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 - [c16]Paschalis A. Bizopoulos
Prediction of atheromatic plaque evolution in carotids using features extracted from the arterial geometry. EMBC 2015: 6556-6559 - 2014
- [c15]Paschalis A. Bizopoulos
Randomly generated realistic vessel geometry using spline interpolation and 2D Perlin noise. BHI 2014: 157-160 - [c14]George A. Rigas
Methodology for micro-CT data inflation using intravascular ultrasound images. EMBC 2014: 1099-1102 - [c13]Georgia S. Karanasiou
Finite element analysis of stent implantation in a three-dimensional reconstructed arterial segment. EMBC 2014: 5623-5626 - [c12]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
- [c11]Georgia S. Karanasiou
Modeling stent deployment in realistic arterial segment geometries: The effect of the plaque composition. BIBE 2013: 1-4 - [c10]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 - [c9]Lambros S. Athanasiou, Christos V. Bourantas, George A. Rigas
Fully automated calcium detection using optical coherence tomography. EMBC 2013: 1430-1433 - [c8]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 - [c7]Konstantinos P. Exarchos, Themis P. Exarchos, Christos V. Bourantas, Michail I. Papafaklis
Prediction of coronary atherosclerosis progression using dynamic Bayesian networks. EMBC 2013: 3889-3892 - [c6]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
- [j10]Lambros S. Athanasiou, Petros S. Karvelis
A Novel Semiautomated Atherosclerotic Plaque Characterization Method Using Grayscale Intravascular Ultrasound Images: Comparison With Virtual Histology. IEEE Trans. Inf. Technol. Biomed. 16(3): 391-400 (2012) - [c5]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 - 2011
- [j9]Panagiotis K. Siogkas, Antonis I. Sakellarios
Multiscale - Patient-Specific Artery and Atherogenesis Models. IEEE Trans. Biomed. Eng. 58(12): 3464-3468 (2011) - [c4]Lambros S. Athanasiou, Themis P. Exarchos, K. K. Naka
Atherosclerotic plaque characterization in Optical Coherence Tomography images. EMBC 2011: 4485-4488
2000 – 2009
- 2008
- [j8]Markos G. Tsipouras
Automated Diagnosis of Coronary Artery Disease Based on Data Mining and Fuzzy Modeling. IEEE Trans. Inf. Technol. Biomed. 12(4): 447-458 (2008) - 2007
- [j7]Themis P. Exarchos, Markos G. Tsipouras
A methodology for the automated creation of fuzzy expert systems for ischaemic and arrhythmic beat classification based on a set of rules obtained by a decision tree. Artif. Intell. Medicine 40(3): 187-200 (2007) - [j6]Dimitrios G. Tsalikakis, Henngui G. Zhang, Dimitrios I. Fotiadis, George P. Kremmydas, Lampros K. Michalis
Phase response characteristics of sinoatrial node cells. Comput. Biol. Medicine 37(1): 8-20 (2007) - [j5]Dimitrios G. Tsalikakis, Dimitrios I. Fotiadis, Lampros K. Michalis
Phase Resetting in One-Dimensional Model of the Sinoatrial Node. IEEE Trans. Biomed. Eng. 54(9): 1710-1714 (2007) - 2006
- [j4]Themis P. Exarchos, Costas Papaloukas
An association rule mining-based methodology for automated detection of ischemic ECG beats. IEEE Trans. Biomed. Eng. 53(8): 1531-1540 (2006) - [c3]Markos G. Tsipouras
A Decision Support System for the Diagnosis of Coronary Artery Disease. CBMS 2006: 279-284 - 2004
- [j3]Yorgos Goletsis
Automated ischemic beat classification using genetic algorithms and multicriteria decision analysis. IEEE Trans. Biomed. Eng. 51(10): 1717-1725 (2004) - [j2]Marina E. Plissiti, Dimitrios I. Fotiadis, Lampros K. Michalis
An Automated Method for Lumen and Media-Adventitia Border Detection in a Sequence of IVUS Frames. IEEE Trans. Inf. Technol. Biomed. 8(2): 131-141 (2004) - 2003
- [c2]Christos V. Bourantas, Dimitrios I. Fotiadis, Iraklis C. Kourtis, Lampros K. Michalis, Marina E. Plissiti:
Three dimensional coronary artery reconstruction using fusion of intravascular ultrasound and biplane angiography. CARS 2003: 1133-1138 - 2002
- [j1]Costas Papaloukas
An ischemia detection method based on artificial neural networks. Artif. Intell. Medicine 24(2): 167-178 (2002) - 2000
- [c1]Costas Papaloukas, Dimitrios I. Fotiadis, Aristidis Likas, Athanasios P. Liavas, Lampros K. Michalis:
A robust knowledge-based technique for ischemia detection in noisy ECGs. KES 2000: 768-771
Coauthor Index
Dimitrios I. Fotiadis
aka: Dimitris I. Fotiadis
aka: Dimitris I. Fotiadis
[j19] [c42] [c41] [c40] [c39] [j18] [c38] [c37] [c36] [c35] [c34] [j17] [c33] [c32] [c31] [c30] [c29] [j16] [c28] [c27] [c26] [j15] [c25] [c24] [c23] [c22] [j14] [c21] [c20] [j13] [j12] [j11] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [j10] [c5] [j9] [c4] [j8] [j7] [j6] [j5] [j4] [c3] [j3] [j2] [c2] [j1] [c1]
Vassiliki Kigka
aka: Vassiliki I. Kigka
aka: Vassiliki I. Kigka
Katerina K. Naka
aka: K. K. Naka
aka: K. K. Naka
Antonis I. Sakellarios
aka: Antonios I. Sakellarios
aka: Antonios I. Sakellarios
Panagiota Tsompou
aka: Panagiota I. Tsompou
aka: Panagiota I. Tsompou
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