Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Savvas Kyriakidis"'
Autor:
Savvas Kyriakidis, George Rigas, Vassiliki Kigka, Dimitris Zaridis, Georgia Karanasiou, Panagiota Tsompou, Gianna Karanasiou, Lampros Lakkas, Sotirios Nikopoulos, Katerina K. Naka, Lampros K. Michalis, Dimitrios I. Fotiadis, Antonis I. Sakellarios
Publikováno v:
Journal of Cardiovascular Development and Disease, Vol 10, Iss 3, p 130 (2023)
Diagnosis of coronary artery disease is mainly based on invasive imaging modalities such as X-ray angiography, intravascular ultrasound (IVUS) and optical coherence tomography (OCT). Computed tomography coronary angiography (CTCA) is also used as a n
Externí odkaz:
https://doaj.org/article/5f4bf64e30484c8ea4b6b05f925c0738
Autor:
Dimitrios Pleouras, Antonis Sakellarios, George Rigas, Georgia S. Karanasiou, Panagiota Tsompou, Gianna Karanasiou, Vassiliki Kigka, Savvas Kyriakidis, Vasileios Pezoulas, George Gois, Nikolaos Tachos, Aidonis Ramos, Gualtiero Pelosi, Silvia Rocchiccioli, Lampros Michalis, Dimitrios I. Fotiadis
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 2, Pp 201-209 (2021)
Goal: To develop a cardiovascular virtual population using statistical modeling and computational biomechanics. Methods: A clinical data augmentation algorithm is implemented to efficiently generate virtual clinical data using a real clinical dataset
Externí odkaz:
https://doaj.org/article/6116fa3d0737417f92cf33d1876f410f
Autor:
Panagiotis K. Siogkas, Lampros Lakkas, Antonis I. Sakellarios, George Rigas, Savvas Kyriakidis, Kostas A. Stefanou, Constantinos D. Anagnostopoulos, Alberto Clemente, Silvia Rocchiccioli, Gualtiero Pelosi, Oberdan Parodi, Michail I. Papafaklis, Katerina K. Naka, Lampros K. Michalis, Danilo Neglia, Dimitrios I. Fotiadis
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 8 (2021)
Aims: In this study, we evaluate the efficacy of SmartFFR, a new functional index of coronary stenosis severity compared with gold standard invasive measurement of fractional flow reserve (FFR). We also assess the influence of the type of simulation
Externí odkaz:
https://doaj.org/article/12300afb30d840abba0d84999bed018a
Autor:
Vassiliki I. Kigka, Eleni Georga, Vassilis Tsakanikas, Savvas Kyriakidis, Panagiota Tsompou, Panagiotis Siogkas, Lampros K. Michalis, Katerina K. Naka, Danilo Neglia, Silvia Rocchiccioli, Gualtiero Pelosi, Dimitrios I. Fotiadis, Antonis Sakellarios
Publikováno v:
Diagnostics, Vol 12, Iss 6, p 1466 (2022)
The prediction of obstructive atherosclerotic disease has significant clinical meaning for the decision making. In this study, a machine learning predictive model based on gradient boosting classifier is presented, aiming to identify the patients of
Externí odkaz:
https://doaj.org/article/b57d3927625841d7a1c1bef41a244235
Autor:
Antonis I. Sakellarios, Panagiotis Siogkas, Vassiliki Kigka, Panagiota Tsompou, Dimitrios Pleouras, Savvas Kyriakidis, Georgia Karanasiou, Gualtiero Pelosi, Sotirios Nikopoulos, Katerina K. Naka, Silvia Rocchiccioli, Lampros K. Michalis, Dimitrios I. Fotiadis
Publikováno v:
Diagnostics, Vol 11, Iss 12, p 2306 (2021)
Assessments of coronary artery disease can be achieved using non-invasive computed tomography coronary angiography (CTCA). CTCA can be further used for the 3D reconstruction of the coronary arteries and the development of computational models. Howeve
Externí odkaz:
https://doaj.org/article/16257ddc64ec4c78957c1ac430f25bad
Autor:
Nikos Tsiknakis, Constantinos Spanakis, Panagiota Tsompou, Georgia Karanasiou, Gianna Karanasiou, Antonis Sakellarios, George Rigas, Savvas Kyriakidis, Michael Papafaklis, Sotirios Nikopoulos, Frank Gijsen, Lampros Michalis, Dimitrios I. Fotiadis, Kostas Marias
Publikováno v:
Diagnostics, Vol 11, Iss 8, p 1513 (2021)
Intravascular ultrasound (IVUS) imaging offers accurate cross-sectional vessel information. To this end, registering temporal IVUS pullbacks acquired at two time points can assist the clinicians to accurately assess pathophysiological changes in the
Externí odkaz:
https://doaj.org/article/41fdd0452bd9406e8ba7a941e28e5429
Autor:
Antonis I. Sakellarios, Panagiota Tsompou, Vassiliki Kigka, Panagiotis Siogkas, Savvas Kyriakidis, Nikolaos Tachos, Georgia Karanasiou, Arthur Scholte, Alberto Clemente, Danilo Neglia, Oberdan Parodi, Juhani Knuuti, Lampros K. Michalis, Gualtiero Pelosi, Silvia Rocchiccioli, Dimitrios I. Fotiadis
Publikováno v:
Applied Sciences, Vol 11, Iss 5, p 1976 (2021)
Background: coronary computed tomography angiography (CCTA) is a first line non-invasive imaging modality for detection of coronary atherosclerosis. Computational modeling with lipidomics analysis can be used for prediction of coronary atheroscleroti
Externí odkaz:
https://doaj.org/article/887844a1d32343c9bfc0ce0debfb3cc8
Autor:
Savvas Kyriakidis
This book examines Byzantine attitudes towards warfare at a time of crisis when the empire ceased to be a first rate power in the Mediterranean. It investigates the correspondence between official rhetoric and propaganda, on the one hand, and militar
Autor:
Savvas Kyriakidis
Publikováno v:
Jahrbuch der Österreichischen Byzantinistik. 1:269-284
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b442f5611a55f89aa55c971d4a7c54f5
https://doi.org/10.1553/joeb71s269
https://doi.org/10.1553/joeb71s269
Autor:
Nikos Tsiknakis, Constantinos Spanakis, Panagiota Tsoumpou, Georgia Karanasiou, Gianna Karanasiou, Antonis Sakellarios, George Rigas, Savvas Kyriakidis, Michail I. Papafaklis, Sotirios Nikopoulos, Frank Gijsen, Lampros Michalis, Dimitrios I. Fotiadis, Kostas Marias
Publikováno v:
Biomedical Signal Processing and Control, 79:104251. Elsevier
To assess the progression of coronary artery disease, Optical Coherence Tomography (OCT) pullbacks acquired at different timepoints should be compared. However, the assessment of temporal sequences is a difficult task, as motion artifacts in the long
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c415bb53d761d63d7ec8bc951bd04a6a
https://doi.org/10.1016/j.bspc.2022.104251
https://doi.org/10.1016/j.bspc.2022.104251